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. 2026 Jul 7;28(7):772. doi: 10.3390/e28070772

Evolution of Hypoequilibrium States in Steepest Entropy Ascent Models for Nonequilibrium Quantum Thermodynamics

Gian Paolo Beretta 1,*, Rohit Kishan Ray 2, Michael R von Spakovsky 3
Editor: Esteban Calzetta
PMCID: PMC13407549  PMID: 42511382

Abstract

A formal development of the HypoEquilibrium (HE) state concept within the Steepest-Entropy-Ascent Quantum Thermodynamics (SEAQT) framework is presented, emphasizing its rigorous mathematical formulation. Using a general decomposition of the Hilbert space, HE states are defined in operator language and the reduced evolution of the associated intensive parameters for the regime where the dissipative dynamics commutes with the Hamiltonian is derived. It is proved that the M-th-order HE family (where M is the number of spectral sectors) constitutes an invariant manifold under the SEAQT equation of motion, ensuring that states initially representing a “mixture of canonicals” maintain this structure throughout their evolution. Furthermore, a formal connection is established between the HE ansatz and the rate-controlled constrained equilibrium (RCCE) method, identifying HE variables as constraint potentials. Finally, the model is extended to Non-Hamiltonian SEAQT (NH-SEAQT) interactions to describe thermodynamically consistent energy and entropy exchanges between subsystems and heat baths. This work provides the formal foundation for reduced-order modeling of far-from-equilibrium relaxation and transport processes, and supports a methodology previously applied across various physical and chemical systems.

Keywords: entropy production, quantum relaxation, model reduction, constrained-equilibrium, quasi-equilibrium, multiple temperature states, heat interactions, quantum heat and work, quantum energy–entropy exchange, energy–entropy diagrams

1. Introduction

An equation of motion able to model nonequilibrium relaxations at any scale must balance two competing demands, namely: (i) be sufficiently microscopic to respect the laws of conservation as well as the second law of thermodynamics, yet (ii) have a sufficiently reduced description in terms of a small number of physically interpretable variables. Without the latter, it becomes unusable for systems with large state spaces, while the former suggests that it should be thermodynamically self-consistent, i.e., able to evolve from any initial nonequilibrium non-zero-entropy state to stable equilibrium.

Within the unified quantum theory of mechanics and thermodynamics proposed by Hatsopoulos and Gyftopoulos [1,2,3,4], the two steepest-entropy-ascent (SEA) equations of motion proposed for nonequilibrium quantum thermodynamics (QT) in [5,6,7] and developed in several papers thereafter (see, e.g., [8,9,10,11]) satisfy the first of these demands. These SEAQT evolution equations, one for an unstructured quantum system and the other for a structured composite of quantum subsystems, augment the unitary quantum evolution of the von Neumann equation of motion [12,13] with a dissipative term constructed so that entropy production is non-negative, while the relevant dynamical invariants (e.g., normalization and energy and, when present, other commuting generators of the motion) are preserved by the dissipative part of the motion. In its compact quantum form, each equation evolves the density operator ρ through a nonlinear law governed by a generalized Massieu-type operator, which encodes both the entropy and relevant conservation constraints [8,9,14]. The resulting dynamics is thermodynamically structured and thermodynamically self-consistent, but, nonetheless, a dynamics on the full space of density operators [15,16,17,18,19,20].

Note that the standard equation of motion widely used by the quantum thermodynamics community is the Kossakowski–Lindblad equation [21] or more precisely the Gorini–Kossakowski–Sudarshan–Lindblad (GKSL) equation [22,23,24]. The basis of this equation is the generator of a completely positive dynamical semigroup, which results in a large class of quantum master equations for which Kossakowski provides the necessary and sufficient generator conditions [25] and Ingarden and Kossakowski the consistency condition for the macroscopic observables of open quantum systems [26]. An equivalent approach is the Kraus-operator or operator-sum formalism [27,28,29] of trace-preserving linear completely positive definite maps introduced by Kraus [30,31]. Unlike the SEA equations of motion, which are inherently quantum mechanically and thermodynamically self-consistent, the GKSL equation is only inherently the former since as pointed out by Spohn [32,33], whether or not this equation evolves thermodynamically depends on the choice of Kraus operators for which the corresponding semigroup has a unique final stable equilibrium (Gibbs) state to which every initial state evolves. Thus, the dissipative path predicted by the GKSL equation is a thermodynamic path only if it obeys the “unital” condition [34] and that depends on the Kraus operators employed. In contrast, the dissipation operator of the SEAQT equations, which is constructed based on the SEA principle and a set of operators called the generators of the motion, always evolves towards stable equilibrium independent of the choice of these operators. This is what is meant by being inherently thermodynamically self-consistent. An example of this is seen in the application of both formalisms to the evolution of slightly perturbed Bell diagonal states given in Chapter 12 of [35].

Now, regarding the second demand, using the equations of motion for systems with large state spaces becomes impractical due to the high dimensionality of the microscopic description unless a low-dimensional manifold can be identified that is both (i) physically meaningful and (ii) dynamically consistent with the SEA evolution. The hypoequilibrium (HE) concept provides such a principled reduction [36,37,38,39,40,41]. Using this concept, the Hilbert space is decomposed into an orthogonal direct sum of a finite number of coarse spectral sectors {HK}K=1M. Each sector is the subspace spanned by a subset of the eigenspaces of the Hamiltonian operator, for which the total probability and mean energy (together with other moments if needed) are tracked. In this representation, each nonequilibrium state is described as a mixture of the density operators associated with the coarse spectral sectors, weighted by the respective total probabilities. When the Hilbert-space decomposition is generated by partitioning the set of energy eigenvalues into contiguous energy intervals, the coarse spectral sectors reduce to what are commonly called “energy shells.” The HE approximation then postulates that the density operator for each spectral sector is canonical (or grand canonical), and, thus, has its own inverse temperature (or temperature and chemical potential) different from the other spectral sectors. Each state of the system is, therefore, represented by a set of “spectral-sector temperatures” (or “spectral-sector temperatures and chemical potentials”) and the corresponding set of “spectral-sector total probabilities.” This is not merely a numerical convenience. It is instead a way of encoding far-from-equilibrium structure while retaining an equilibrium-like form locally on each coarse spectral sector. The HE concept for quantum systems parallels the lower-dimensional-manifold-approximation philosophy of several model reduction approaches, notably, the “rate-controlled constrained-equilibrium” (RCCE) method in chemical kinetics [42,43,44], the “quasi-equilibrium” approximation in dynamical systems [45,46] and in complex biological models [47] (characterized by a variety of empirical [48,49] and geometrical [50,51,52,53,54,55,56] methods to identify the most effective slow invariant manifold for each given class of problems), or systematic coarse-graining techniques [57,58,59,60].

Of course, to be physically relevant, the HE manifold of constrained-equilibrium (or quasi-equilibrium) states must be invariant with respect to the SEA dynamics. In other words, when evolved according to the SEA dynamics, any initial HES must remain within the HE manifold at all times. This dynamical consistency is important since otherwise the evolution risks being an uncontrolled approximation. If indeed it is consistent (under clearly stated assumptions) as suggested by the proof provided in [36], then the HE–SEAQT model becomes a legitimate reduced model with the SEA principle providing the irreversible dynamics and the HE concept providing the reduced-order description.

The HE concept has also been applied to the SEAQT equation for a general structured composite of quantum subsystems [61] and to ad hoc extensions of the SEAQT equation tailored to model heat, diffusion, and heat-and-diffusion interactions between systems as well as provide non-Hamiltonian (NH) extensions of the Onsager reciprocity relations to the non-near-equilibrium nonlinear domain as well as models of system–bath interactions [37,38,39]. Applications with experimental validations include (see, e.g., Chapters 10 to 23 of [35]) predicting electrical, thermal, magnetic, and mechanical transport properties; the chemical and electrochemical kinetics of reacting mixtures; ferromagnetic eddy current losses; nonequilibrium size and concentration effects on heat and mass diffusion; the kinetics of surface adsorptions and contamination; discontinuous and continuous phase decompositions; ordering and phase separation; atomistic spin relaxations; thermal expansions; microstructural evolutions; cell membrane lipid diffusion; defect formation and migration; the nonequilibrium behavior of nonquasiequilibrium thermodynamic cycles, etc.

To clarify what is new here, a brief description of the HE concept’s original introduction [36,37,40] by Li and von Spakovsky is needed. In particular, those authors used a very simple mathematical proof to show that the HE concept is consistent with the dynamics of the SEAQT equation of motion for simple (i.e., unstructured) quantum systems both in its canonical and grand canonical realization, demonstrating its usefulness for modeling heat, mass, and work interactions as well as chemical reactions. Using this concept, Li and von Spakovsky also demonstrated that the Onsager relations, the quadratic dissipation potential, Gibbs relation, and a fundamental definition of thermodynamic intensive properties based on binary extensive property fluctuations can be extended to the far-from-equilibrium region. The latter are, in fact, shown to reduce to the well-known intensive properties of classical thermodynamics (i.e., the temperature, chemical potential, pressure, etc.) at stable equilibrium. In contrast, the present paper provides a much more extensive mathematical proof as well as the underlying geometrical basis in state space for the HE concept and does so for both the SEAQT equation of motion for simple (i.e., unstructured) quantum systems as well as that for general (i.e., structured) quantum systems. The focus is, thus, on providing a precise and detailed mathematical formulation of the HE–SEAQT model for the simplest unstructured quantum systems and of the NH–HE–SEAQT model of non-Hamiltonian heat interactions between unstructured systems. For these models, the HE subspace is proven to be an invariant-manifold within the SEA dynamics. The HE formalism is then rigorously extended to structured composite systems (i.e., general quantum systems). Excluded from the present treatment is a discussion of variations of the NH–HE–SEAQT model such as those used in [61,62,63,64,65,66] to heuristically model the time evolution of coherences and correlations as well as energy, entropy, and particle exchanges between subsystems in the presence of interaction Hamiltonians. These variations involve hybrid equations of motion including the simultaneous effects of the von Neumann, Lindblad, and SEAQT terms as well as a continuous projection of the state operator onto an HE manifold.

In the present work, hypoequilibrium states (HES) are first formulated in compact operator language consistent with the SEAQT equation of motion for a simple quantum system, using a general decomposition of the Hilbert space and the corresponding HES variables. Next, based on the simplifying but important practical regime in which the dissipative SEA term acts on states commuting with the Hamiltonian (so that the dynamics reduces to a closed evolution of eigenlevel populations), the reduced evolution for the HE parameters is derived and the associated entropy production structure identified. Addressing the invariant-manifold property next, an initial M-th-order HES representing a “mixture of canonicals” is used to show how the SEA evolution preserves the order of the initial state, demonstrating that the evolving states remain within the same M-th-order HE family. The HE representation is also shown to lie within the logic of the RCCE [42,48,49] model reduction concept, since the HES can be viewed as a maximum-entropy state relative to a chosen set of coarse constraints so that the evolving intensive parameters acquire the meaning of constraint potentials. Without shifting the focus away from the HES–SEA dynamical consistency, the RCCE connection unifies terminology and situates the HE concept within a broader literature on reduced-order modeling.

The paper is organized as follows. Section 2 defines the tenets of the HE concept and describes the Hilbert space decomposition induced by a specific partitioning of the set of energy eigenvalues. Section 3 formally defines the HE ansatz, derives the reduced evolution in terms of HES variables, and isolates the minimal relations needed for later proofs. The HE formalism is then extended to structured composite systems in Section 4. Section 5 follows with a discussion of the consistency of the HE concept with the RCCE approach. Section 6 outlines the implementation of the HE approximation into the original SEAQT dynamical structure in terms of the notation reviewed for completeness and consistency in Appendix A and Appendix B and prove that the HE subspace is an invariant-manifold within the SEA dynamics. Section 7 then introduces a modification of the original SEAQT equation of motion for composite systems that models, in a thermodynamically consistent manner, energy and entropy (and mass) exchanges between subsystems as non-Hamiltonian (NH-SEAQT) dissipative effects. This is followed by Section 8, which shows the compatibility of the NH-SEAQT model with the notion of a heat interaction between two systems, while Section 9 formulates the model for a system in contact with two other systems that could model heat baths. Section 10 then presents final conclusions.

2. Preliminary HE Assumptions: Partitioning the Energy Spectrum

The technical assumptions underlying the HE concept are stated first. Only density operators ρ on the system Hilbert space H that belong to the special class defined by the following conditions are considered:

  • (HE1): 

    ρ commutes with H (at all times t), i.e., [H,ρ]=0;

  • (HE2): 

    ρ is full rank, i.e., has no zero eigenvalues, so that Pρ>0=I, where Pρ>0 is the projection operator onto the range of ρ;

  • (HE3): 

    ρ assigns equal probability to each of the gi corresponding eigenstates of each degenerate eigenvalue εi of H.

To be more explicit, the N-energy-eigenlevel system Hamiltonian in spectral form is written as

H=∑i=1NεiPi, (1)

where εi denotes the i-th distinct system energy eigenvalue with degeneracy gi=dimHi=Tr(Pi) (dimH=∑i=1Ngi); and Pi is the projector onto the corresponding eigenspace Hi so that H=⨁i=1NHi is the spectral decomposition of H induced by H and I=∑i=1NPi is the corresponding resolution of the identity operator. With these assumptions, the density operator has the spectral form

ρ=∑i=1NpiPi, (2)

and pi is the occupation probability of the i-th energy eigenlevel and the entropy operator S(ρ) defined according to [5,6,8] is given by

S=−kBPρ>0lnρ=−kB∑i=1N(lnpi)Pi=∑i=1NsiPi, (3)

where kB is the Boltzmann constant and

si=−kBlnpi. (4)

In general, for any trace-preserving dynamics, i.e., with Tr(dρ/dt)=0, 〈dS(ρ)/dt〉=TrρdS(ρ)/dt=0 (see footnote 7 of [8] for a proof).

The next assumption is:

  • (HE4): 

    The set of N eigenvalues of ρ is arbitrarily partitioned into M disjoint subsets.

Each subset defines a subspace of the Hilbert space obtained as the span of the corresponding energy eigenspaces. This induces an orthogonal direct–sum decomposition of the Hilbert space H so that the resolution of the identity I and the spectral forms of H and ρ can be written as follows:

H=⨁K=1MHK,HK=⨁iK=1MKHiKK,I=∑K=1MPK,PK=∑iK=1MKPiKK, (5)
H=∑K=1MHK,HK=∑iK=1MKεiKKPiKK,ρ=∑L=1M∑iL=1MLpiLLPiLL, (6)

where clearly MK≥1, ∑K=1MMK=N and

PiLLPiKK=δLKδiLiKPiKK,dimHiKK=Tr(PiKK)=giKK, (7)
dimHK=Tr(PK)=gK=∑iK=1MKgiKK,dimH=Tr(I)=∑K=1MgK. (8)

Following [36,37] and in anticipation of the additional assumptions introduced in Section 3, the subspace HK is called the K-th hypoequilibrium spectral sector (HESS); and the total probability pK and the mean energy 〈HK〉 of the K-th HESS are defined as

pK=〈PK〉=TrρPK=∑iK=1MK〈PiKK〉=∑iK=1MKpiKKgiKK, (9)
pεiKK=〈PiKK〉=TrρPiKK=∑L=1M∑iL=1MLpiLLTr(PiLLPiKK)=piKKgiKK, (10)
〈HK〉=TrρHK=∑iK=1MKpiKKgiKKεiKK, (11)
〈HKHK〉=TrρHK2=∑iK=1MKpiKKgiKK(εiKK)2, (12)

Here, ∑pK=1, and the probability associated with the iK-th energy eigenlevel of the K-th subset is not piKK but pεiKK=piKKgiKK.

The K-th HESS density operator ρ˜K on HK is defined by

ρ=∑K=1MpKρ˜K,ρ˜K=1pK∑iK=1MKpiKKPiKK, (13)

where, by construction,

ρ˜KHL=HLρ˜K=δLKHKρ˜K. (14)

To compute how each HESS contributes to the overall entropy, the logarithms of these density operators are needed. Defining

siKK=−kBlnpiKK,sK=−kBlnpK, (15)

the proper HESS entropy operator S˜K and the local HESS entropy 〈S˜K〉 are given by

S˜K=−kBlnρ˜K=−kB∑iK=1MKlnpiKKpKPiKK=∑iK=1MK(siKK−sK)PiKK, (16)
〈S˜K〉=TrρS˜K=−pKsK+∑iK=1MKpiKKgiKKsiKK, (17)
∑iK=1MK(lnpiKK)PiKK=(lnpK)PK+lnρ˜K. (18)

where Equation (13) and the fact that the projector PiKK is an idempotent operator (see [8]) are used to derive this last equation. Furthermore, the term local denotes a single HESS, i.e., a coarse spectral sector HK; pKsK is the partitional HESS entropy; and

ρ˜KS˜L=S˜Lρ˜K=δLKS˜Kρ˜K. (19)

Now, following the definition of the HESS and using Equation (7),

lnρ=∑K=1M∑iK=1MK(lnpiKK)PiKK=∑K=1M[(lnpK)PK+lnρ˜K], (20)
S=−kBlnρ=∑K=1M∑iK=1MKsiKKPiKK=∑K=1M(sKPK+S˜K)=∑K=1MSK, (21)

where the HESS partial entropy operator, its expectation value, and its expected covariance with the local Hamiltonian, HK, are given by

SK=sKPK+S˜K=∑iK=1MKsiKKPiKK, (22)
〈SK〉=pKsK+〈S˜K〉=∑iK=1MKpiKKgiKKsiKK, (23)
〈SKHK〉=Tr(ρHKSK)=∑iK=1MKpiKKgiKKsiKKεiKK. (24)

The HESS proper energies and entropies are then expressed as

〈HK〉K=Trρ˜KHK=1pK∑iK=1MKgiKKpiKKεiKK=〈HK〉pK. (25)
〈S˜K〉K=−kBTrρ˜Klnρ˜K=Trρ˜KS˜K=−kB∑iK=1MKpiKKpKlnpiKKpKTr(PiKK)=kBlnpK−kBpK∑iK=1MKgiKKpiKKlnpiKK=〈S˜K〉pK=〈SK〉pK−sK. (26)

A summary of the various energy and entropy definitions provided thus far is given in Table 1.

Table 1.

Summary of the various energy and entropy definitions associated with a coarse spectral sector HK for a given partitioning of the energy spectrum, where 〈X〉K=Tr(ρ˜KX) and 〈X〉=Tr(ρX)=∑K=1MpK〈X〉K.

Energy Entropy
Operator Mean Value Operator Mean Value
Proper HK 〈HK〉K=Tr(ρ˜KHK) S˜K 〈S˜K〉K=Tr(ρ˜KS˜K)
Local HK 〈HK〉=pK〈HK〉K S˜K 〈S˜K〉=pK〈S˜K〉K
Partitional 0 0 sKPK pKsK
Partial HK 〈HK〉 SK=sKPK+S˜K 〈SK〉=pKsK+〈S˜K〉K
Overall H=∑K=1MHK 〈H〉=∑K=1M〈HK〉 S=∑K=1MSK 〈S〉=∑K=1M〈SK〉

Although at first glance Assumption HE1 ([H,ρ]=0) may appear to be overly restrictive, it is a deliberate modeling choice with wide applicability for which HE is a statement about coarse-grained equilibration of eigenenergy populations. In particular, the defining signature of an HE sector is, as seen below (Equation (47)), that the sector entropic coordinates siKK are affine maps on εiKK. Once the HES manifold is established and shown to be dynamically consistent in this minimal setting, one can ask how coherences and additional generators deform or enlarge that manifold. Furthermore, under the simplifying assumptions made in this section, a full description of the time evolution of the state operator ρ still requires the time dependence of all the piKK’s or equivalently the pεiKK’s, whose number is N, and for practical systems may still be very large. Additional methods for dealing with this—such as the density of states method developed in [36] and the approach used for phonons in [41]—can be employed.

In the next two sections, a set of assumptions is introduced to reduce the number of independent variables from N to 2M, where M is the number of assumed HESS’s. As shown in Section 5, these assumptions are often physically justifiable and are conceptually aligned with a model-reduction strategy widely used in chemical kinetics.

3. Main HE Assumption: Canonical HESS Density Operators

The HE approximation results when the HESS density operators are constrained to take a canonical or grand canonical form. The grand canonical case is not treated here. The formal assumption is as follows:

  • (HE5): 
    A state ρ is an “HE state” of order M with respect to the chosen partition {HK}K=1M if, for each HESS K, there exists an inverse temperature βK such that
    ρ˜KHE=PKexp(−βKHK)PKZK(βK),ZK(βK)=Tr[PKexp(−βKHK)PK], (27)
    or, equivalently, using Equations (6) and (13)
    piKKpK=exp(−βKεiKK)ZK(βK),ZK(βK)=∑iK=1MKgiKKexp(−βKεiKK). (28)

The kinetic justification of assumption HE5 is discussed in Section 5. Note that Assumption HE3 is a corollary of Assumption HE5. It is also noteworthy that the symmetric compression of the exponential terms via the projector PK in Equation (27) restricts the operator’s support to the subspace HK. This ensures that ρ˜KHE acts nontrivially only within its respective sector. Without PK, the term would reduce to the identity on all other subspaces HL≠K, leading to unphysical contributions in the global sum.

Combining Equations (13) and (27), it is evident that the HE approximation consists of assuming that the states at any time are of the form

ρHE=∑K=1MpKPKexp(−βKHK)PKZK(βK)=∑K=1MpKρ˜KHE. (29)

Note that, since by construction the ranges of operators PK and HK are entirely contained in subspace HK and the HK’s are orthogonal to each other so that PLHK=HKPL=δLKHK, the HE density operator ρHE can be compactly rewritten by absorbing the normalization factors and the sector probabilities into the exponential such that

ρHE=∑K=1MPKexp(−αKPK−βKHK)PK, (30)

where the coefficients αK are defined by the relation

αK=lnZK(βK)−lnpK=lnZK(βK)+sK/kB. (31)

In this representation, αK acts as a sector-dependent normalization constant (effectively a free energy shift) that ensures the correct weighting of each subspace. The HE manifold is therefore characterized by the following equivalent relations:

piKK=exp(−αK−βKεiKK), (32)
siKK=kBαK+kBβKεiKK. (33)

The set PHES(H) of HE density operators of form Equation (29) is an “invariant manifold of the dynamics” if the underlying equation of motion evolves any density operator initially in PHES(H) along a path that remains within PHES(H) at all future times (“strongly” invariant if this holds also backwards in time as is later proven to be the case under HE–SEAQT dynamics; see Equation (94)). A sufficient condition for this to hold true is that the equation of motion entails rates of change of the piKK’s compatible with Equation (32), i.e., that the following

dpiKKdt=−exp(−αK−βKεiKK)dαKdt+dβKdtεiKK, (34)

or, equivalently,

1kBdsiKKdt=dαKdt+dβKdtεiKK, (35)

are satisfied.

By exploiting the fact that the PiKK are mutually orthogonal projectors that resolve the identity PK within the subspace HK, the exponential terms in Equation (30) can be decomposed into a sum of spectral components such that

ρHE=∑K=1MPKexp−∑iK=1MK(αK+βKεiKK)PiKKPK (36)
=∑K=1M∑iK=1MKexp−αK−βKεiKKPiKK (37)
=∑K=1MpKZK(βK)∑iK=1MKexp−βKεiKKPiKK. (38)

Note that if the HK’s (and hence the PK’s) are time-independent, then the time evolution ρ(t) of the state is parametrized by only 2M variables, namely, either pK(t) and βK(t) (Equation (29)) or, equivalently, αK(t) and βK(t) (Equation (30)). This is an important simplification that, as already referenced in Section 1, when combined with the SEAQT dynamical equations has enabled the successful modeling of a broad range of mesoscopic systems. As shown below in Section 5, the HE approximation is equivalent to the translation into the nonequilibrium quantum thermodynamic framework of the constrained equilibrium approximation in the chemical kinetics framework and the quasi-equilibrium approximation in the dynamical systems framework.

The HE family in Equation (31) is now parametrized by {pK,βK}K=1M subject to ∑K=1MpK=1 or, equivalently, by {αK,βK}K=1M subject to the constraint ∑K=1MZK(βK)exp(−αK)=1 induced by normalization. Hence, the HE manifold has dimension 2M−1.

Taking the logarithms of the HESS density operators (Equation (27)) and using Equation (37) yields for lnρHE a remarkably simple block-diagonal form where each sector HK contributes an effective Hamiltonian term βKHK shifted by the sector-specific normalization αKPK. As a result the following relations hold for each sector:

S˜KHE=−kBlnρ˜KHE=kBβKHK+(lnZK)kBPK, (39)
SKHE=sKPK+S˜KHE=kBαKPK+kBβKHK, (40)
〈SKHE〉=kBαKpK+〈HK〉kBβK, (41)
〈SKHEHK〉=kBαK〈HK〉+kBβK〈HKHK〉, (42)

and for the overall system,

SHE=−kBlnρHE=kB∑K=1M(αKPK+βKHK), (43)
〈SHE〉=kB∑K=1M(αKpK+〈HK〉βK), (44)

so that, for arbitrary parameters α and β, the following “nonequilibrium Massieu operator” can be defined:

MHE=SHE−kBαI−kBβH=∑K=1M(SKHE−kBαPK−kBβHK) (45)
〈MHE〉=∑K=1M(〈SKHE〉−kBαpK−〈HK〉kBβ). (46)

Furthermore, following [36,37], it is important to observe that Equation (28) implies

siKK=−kBlnpiKK=sK+kBlnZK+kBβKεiKK=kBαK+kBβKεiKK (47)

and, therefore, rewriting it for the index j and subtracting and dividing by εiKK−εjKK yields the relations

siKK−sjKKεiKK−εjKK=kBβK∀iK,jK∈{1,…,MK} (48)

expressing a fingerprint feature of stable equilibrium, which here (by Assumption HE5) holds only locally within each HESS but not globally. For a global HES ρHE to approach a stable equilibrium state ρSE=exp(−βSEH)/Tr[exp(−βSEH)], all the inverse temperatures βK must converge to a common value βSE, all αK’s converge to the common value αSE=ln∑K=1MZK(βSE), and the pK’s converge to pKSE=ZK(βSE)/∑L=1MZL(βSE).

If an HE sector contains only a single distinct energy eigenlevel so that MK=1, then Equation (28) is satisfied identically for any βK. Such sectors carry population information but no meaningful internal temperature. In applications, partitions with MK≥2 for all sectors are typically chosen and, thus, carry a nontrivial internal equilibration structure.

When no decomposition is assumed, i.e., the whole Hilbert space is viewed as a single sector so that MK=1, then assumption HE5 corresponds to a locally stable equilibrium state. In this trivial case, K only takes the value 1, p1=1, s1=0, P1=I, H1=H, and

〈SHE〉=kBα1+〈H〉kBβ1,α1=lnZ1(β1),dα1dt=−〈H〉dβ1dt. (49)

4. HE Assumptions for a Structured Composite of Subsystems

When dealing with a composite system with overall density operator ρ on the system’s Hilbert space H=⨂J=1MHJ, the composite–system hypoequilibrium (CSHE) approximation results when the following assumptions hold:

  • (CSHE1): 
    The subsystems are noninteracting, i.e.,
    H=∑J=1MHJ⊗IJ¯, (50)
    and in an uncorrelated state, i.e.,
    ρ=⨂J=1MρJ=ρJ⊗ρJ¯, (51)
    such that ρ commutes with H, i.e.,
    [H,ρ]=0whichimplies[HJ,ρJ]=0∀J. (52)
    Here, the subscript J¯ denotes the complement of subsystem J with Hilbert space
    HJ¯=⨂L=1L≠JMHL. (53)
  • (CSHE2): 

    Each ρJ is full rank, i.e., has no zero eigenvalues.

  • (CSHE3): 

    Each ρJ gives equal probability to each of the giJ corresponding eigenstates of each degenerate eigenvalue εiJ of HJ, so that ρJ and HJ share the same set of eigenprojectors PiJJ.

  • (CSHE4): 
    Each subsystem’s Hilbert space HJ is decomposed into MJ spectral sectors, associated with the spectral decomposition of the local Hamiltonian operator HJ, i.e.,
    HJ=∑iJ=1NJεiJJPiJJ=∑KJ=1MJHKJJwithHKJJ=∑iK,J=1MK,JεiK,JK,JPiK,JK,J, (54)
    based on an arbitrary partition of the set of NJ eigenvalues of ρJ into MJ disjoint subsets. The overall system’s Hilbert space is, therefore, decomposed as
    H=⨂J=1M⨁KJ=1MJHKJJ (55)
    and resolutions of the identities PKJJ within each subspace HKJJ in terms of the mutually orthogonal eigenprojectors are given by
    PKJJ=∑iK,J=1MK,JPiK,JK,J. (56)
  • (CSHE5): 
    A state ρ is a “CSHE state” with respect to the chosen decomposition (55) if, for each HESS KJ, there exists an inverse temperature βKJJ such that
    ρ˜KJJ,HE=PKJJexp(−βKJJHJ)PKJJZK(βKJJ),ZK(βKJJ)=Tr[PKJJexp(−βKJJHJ)PKJJ]. (57)
    Following the same steps used to prove Equations (37) and (38), it follows that
    ρJHE=∑KJ=1MJpKJJρ˜KJJ,HE=∑KJ=1MJ∑iK,J=1MK,Jexp−αKJJ−βKJJεiK,JK,JPiK,JK,J (58)
    =∑KJ=1MJpKJJZK(βKJJ)∑iK,J=1MK,Jexp−βKJJεiK,JK,JPiK,JK,J. (59)
    Equivalently, ρHE=⨂J=1MρJHE where
    ρJHE=∑KJ=1MJ∑iK,J=1MK,JpiK,JK,JPiK,JK,JwithpiK,JK,J=pKJJZK(βKJJ)exp−βKJJεiK,JK,J. (60)

Following the same procedure as in Section 3, the subsystems’ nonequilibrium Massieu operators for arbitrary parameters αJ and βJ (that will take explicit values in Appendix A) may be written as

MJHE=SJHE−kBαJIJ−kBβJHJ=∑KJ=1MJ(SKJJ,HE−kBαJPKJJ−kBβJHKJJ)
=kB∑KJ=1MJ[(αKJJ−αJ)PKJJ+(βKJJ−βJ)HKJJ] (61)

where SJHE=−kBlnρJHE and

SKJJ,HE=sKJJPKJJ+S˜KJJ,HE=kBαKJJPKJJ+kBβKJJHKJJ, (62)
S˜KJJ,HE=−kBlnρ˜KJJ,HE=kBβKJJHKJJ+(lnZKJJ)kBPKJJ, (63)
sKJJ=−kBlnpKJJ. (64)

5. Consistency of the HE Approximation with the RCCE Approach

In this section, the HE approximation is shown to fit precisely within the framework of the RCCE method for model reduction. This method was introduced and applied by Keck and coworkers [42,43,48,49,67] as a thermodynamically consistent method for obtaining accurate results in combustion modeling applications that involve complex chemical kinetic schemes. Many others have worked on variations, improvements, generalizations, and geometrizations of this model reduction technique [44,45,46,51,57,58,59].

In the present HE framework, it is assumed that the dynamics has bottlenecks associated with the flow of probability and energy between different HESS’s so that the irreversible redistribution of probabilities pK and partial energies 〈HK〉 among different HESS’s is much slower than the probability redistribution within each HESS. As a result of the rapid equilibration within each HESS, each density operator ρ˜K rapidly relaxes towards the maximum proper entropy 〈SK〉K compatible with the local normalization condition Tr(ρ˜K)=1 and the current value of the proper mean energy 〈HK〉K, namely, towards the ρ˜K given by Equation (27). Figure 1 provides a pictorial representation of the HE approximation with the help of the energy-vs-entropy diagrams developed in [68,69].

Figure 1.

Figure 1

(Top): representation of the HESS density operator ρ˜K and its HE approximation ρ˜KHE on the proper-energy–vs–proper-entropy diagram of each sector K. (Bottom): representation of the overall density operator ρ and its HE approximation ρHE on the energy–vs–entropy diagram of the overall system. The time evolution is assumed to redistribute probabilities much more rapidly within each HE sector than among different sectors. Therefore, each nonequilibrium HESS state ρ˜K approaches rapidly the sector maximal-proper-entropy state ρ˜KHE with the same mean proper energy 〈HK〉K. The corresponding overall states ρ and ρHE are constructed on the overall energy–vs–entropy diagram using the additivity relations summarized in Table 1. The stars denote the final stable equilibrium state when all the βK’s reach the same value βSE.

In terms of RCCE terminology, it is assumed that the relatively slow, rate-controlling constraints associated with the bottlenecks of the overall dynamics are the spectral-sector total probabilities pK and partial mean energies 〈HK〉. Therefore, at any given time during the evolution, the state ρ is assumed to be well approximated by the state that maximizes the overall entropy 〈S〉=−kBTr(ρlnρ) subject to these constraints. The constrained maximization can be written as

maxρ|pK,〈HK〉,PK,HK−kBTr(ρlnρ)subject toTr(ρPK)=pKandTr(ρHK)=〈HK〉. (65)

Introducing the Lagrange multipliers αK−1 and βK (in the RCCE approach αK and βK are called “constraint potentials”) and using Equations (9), (11), and (23), the equivalent unconstrained maximization becomes

maxpiKK|giKK,εiKK−∑K=1M∑iK=1MKpiKKgiKKlnpiKK−∑K=1M(αK−1)∑iK=1MKpiKKgiKK−∑K=1MβK∑iK=1MKpiKKgiKKεiKK. (66)

The solution is readily found to be

piKK=exp(−αK−βKεiKK). (67)

Substituting this into the constraints yields the Lagrange multipliers in terms of pK and 〈HK〉. From the first constraint,

pK=∑iK=1MKgiKKexp(−αK−βKεiKK)=exp(−αK)Tr[exp(−βKHK)]=exp(−αK)ZK(βK), (68)

Equation (31), i.e., exp(−αK)=pK/ZK(βK) where ZK(βK)=Tr[exp(−βKHK)] follows so that Equation (67) can be rewritten as

piKK=pKexp(−βKεiKK)ZK(βK), (69)

and, therefore,

ρRCCE=∑K=1MpKPKexp(−βKHK)PKZK(βK)=∑K=1MpKρ˜KHE, (70)

which coincides with Equation (29). Substituting into the second constraint yields the relation

〈HK〉=pKZK(βK)Tr[HKexp(−βKHK)], (71)

which can be solved to obtain βK=βK(〈HK〉/pK) and together with Equation (68) yields αK=αK(pK,〈HK〉/pK).

Recalling that 〈HK〉=〈HK〉KpK (Equation (25)), these relations can be rewritten in terms of the proper mean HESS energy instead of the local mean HESS energy since βK=βK(〈HK〉K) and αK=αK(pK,〈HK〉K). Within the RCCE method, adopting the constraint potentials (here αK and βK) as the independent variables [43] avoids having to solve the above system of equations to obtain the values of αK and βK from the current values of pK and 〈HK〉 at every time step during the integration of the evolution equation.

Finally, the RCCE description of nonequilibrium states (and hence also the HE description) follows the same logic as the standard model for chemically reacting systems where nonequilibrium states are assigned the properties of the stable equilibrium state of a “surrogate” system (see [68,70]) with the same composition, volume, and energy, but with all reactions frozen. This amounts to treating the chemical reactions as the bottlenecks of the dynamics, the corresponding set of constraints being the set of all species amounts.The success of the RCCE method, thus, hinges on the ability to identify the bottleneck constraints. Equivalently, in the present SEAQT context, the key to successful model reduction is the ability to identify the M subsets of energy eigenvalues subject to rapid irreversible redistribution within each HESS so that the focus can be on the slow (bottleneck) dynamics that controls the energy and entropy exchanges between the different HESS’s.

6. HE–SEAQT for an Unstructured and Isolated System

Appendix A provides a review of the foundational assumptions of the original SEAQT formalism for a general system with internal structure, while Appendix B merges these assumptions with the HE assumptions discussed in Section 4 and completes them with two additional assumptions to obtain the HE–SEAQT formulation for a system with noninteracting subsystems. Under this set of HE–SEAQT assumptions, there is no interaction Hamiltonian and each subsystem evolves independently of the others. It, therefore, suffices to consider a single, unstructured system that can be modeled without internal subdivision into separated, noninteracting, and uncorrelated subsystems. The HE–SEAQT equation of motion takes the same form as Equations (A35)–(A40) but without the J super- and subscripts, i.e.,

dρdt=−{Dρ,ρ}=∑K=1MpKτK[(αK−α)ρ˜K+(βK−β)HKρ˜K], (72)
dSdt=−kB∑K=1M1τK[(αK−α)PK+(βK−β)HK], (73)

and the SEA nonequilibrium potentials α and β are functions of all the constraint potentials αK and βK which may be written as

kBα=BSBHH−BHBSHBHH−BHBH=〈s〉w−kBβ〈ε〉w, (74)
kBβ=BSH−BSBHBHH−BHBH=〈ΔwsΔwε〉w〈ΔwεΔwε〉w, (75)

where

BH=τ˜∑K=1M〈HK〉τK=τ˜∑K=1MpKτK〈HK〉K=∑K=1M∑iK=1MKwiKKεiKK=〈ε〉w, (76)
BS=τ˜∑K=1M〈SK〉τK=kBτ˜∑K=1MpKτKαK+βK〈HK〉K=∑K=1M∑iK=1MKwiKKsiKK=〈s〉w, (77)
BHH=τ˜∑K=1M〈HKHK〉τK=τ˜∑K=1MpKτK〈HKHK〉K=∑K=1M∑iK=1MKwiKK(εiKK)2=〈ε2〉w, (78)
BSH=τ˜∑K=1M〈SKHK〉τK=kBτ˜∑K=1MpKτKαK〈HK〉K+βK〈HKHK〉K=∑K=1M∑iK=1MKwiKKεiKKsiKK=〈sε〉w. (79)

Here, τ˜, 〈x〉w, and 〈ΔwxΔwy〉w denote overall weighted averages and covariances with respect to the dimensionless weights wiKK and the weighted deviations (from the overall weighted average) ΔwxiKK=xiKK−〈x〉w defined as follows:

wiKK=τ˜piKKgiKKτK,  1τ˜=∑K=1MpKτK=∑K=1M∑iK=1MKpiKKgiKKτK, (80)
〈x〉w=∑K=1M∑iK=1MKwiKKxiKK,  〈ΔwxΔwy〉w=∑K=1M∑iK=1MKwiKKΔwxiKKΔwyiKK (81)

Denoting by miKK the eigenvalues of the local nonequilibrium Massieu operator of sector K, MK, and recalling Equations (32) and (33), the following relations corresponding to normalization, mean-energy conservation, and entropy production rate are readily verified:

piKK=exp(−αK−βKεiKK),siKK=kBαK+kBβKεiKK, (82)
MK=SK−kBαPK−kBβHK,miKK=siKK−kBα−kBβεiKK, (83)
〈m〉w=〈Δwm〉w=∑K=1M∑iK=1MKwiKKmiKK=0, (84)
〈mε〉w=〈ΔwmΔwε〉w=∑K=1M∑iK=1MKwiKKmiKKεiKK=0, (85)
kBτ˜d〈S〉dt=∑K=1M∑iK=1MKwiKK(miKK)2=〈m2〉w=〈ΔwmΔwm〉w≥0. (86)

Note that the overall nonequilibrium Massieu operator M=∑K=1MMK has zero-weighted mean value but a nonzero-weighted variance proportional to the overall entropy production rate, which vanishes only at stable equilibrium.

Recalling that piKKgiKK=Tr(ρPiKK), siKK=−kBlnpiKK, pK=Tr(ρPK), 〈HK〉=〈HK〉KpK, and sK=−kBlnpK, Equation (72) yields the following relations:

τKdpiKKdt=(αK−α)piKK+(βK−β)εiKKpiKK, (87)
τKkBdsiKKdt=(α−αK)+(β−βK)εiKK, (88)
τKdpKdt=(αK−α)pK+(βK−β)〈HK〉=(αK−α)pK+(βK−β)〈HK〉KpK, (89)
τKkBdsKdt=(α−αK)+(β−βK)〈HK〉pK=(α−αK)+(β−βK)〈HK〉K, (90)
∑K=1M1τK[(αK−α)pK+(βK−β)〈HK〉]=0, (91)
∑K=1M1τK[(αK−α)〈HK〉+(βK−β)〈HKHK〉]=0, (92)
d〈S〉dt=kB∑K=1M1τKTrρ˜K(αK−α)PK+(βK−β)HK2, (93)

where HKHK=Tr(ρHKHK)=pKTr(ρ˜KHKHK)=pK〈HKHK〉K and the systems of Equations (91) and (92) for normalization and the conservation of mean energy are entirely equivalent to the system of Equations (74) and (75).

It is evident from Equation (89) that if a pK is zero at one time then it must be zero at all times. In other words, an unpopulated HE sector remains unpopulated under SEA dynamics, a feature that extends to the HE framework the known feature of SEA dynamics [6] whereby zero eigenvalues of the density operator remain zero and nonzero ones remain nonzero (although they can approach zero much like e−t→0 as t→∞). This feature holds also for Equation (87) and implies that if the piKK’s start all positive, as is required for the density operator to be strictly positive, they can never cross zero, whether the equation of motion is evolved forward or backward in time. Since the right-hand side of Equation (93) is non-negative, it follows that under HE–SEAQT the rate of change of the overall system’s entropy is non-negative in forward time and non-positive in backward time.

Subtracting from Equation (88) the same equation written for another energy eigenlevel εjKK in the same sector K, and recalling Equation (32), yields

τKkBd(siKK−sjKK)dt=(βK−β)(εiKK−εjKK)=τKd(αK+βKεiKK−αK−βKεjKK)dt, (94)

which reduces to

τKdβKdt=β−βK. (95)

Similarly, dividing Equation (88) by εiKK, subtracting the resulting equation written for another energy eigenlevel εjKK in the same sector K, and again using Equation (32) yields

τKkBd(siKK/εiKK−sjKK/εjKK)dt=(αK−α)1εiKK−1εjKK=τKd(αK/εiKK+βK−αK/εjKK−βK)dt, (96)

which reduces to

τKdαKdt=α−αK. (97)

Note that the overall energy spectrum can be shifted by a constant for Hamiltonians with zero eigenenergies so that the new εiKK’s are nonzero. Together with Equations (74)–(79)—which give α and β in terms of the αK’s and βK’s—Equations (95) and (97) form a differential-algebraic system of nonlinearly coupled equations that automatically satisfies the normalization and energy conservation constraints. For a given set of initial values {αK(0),βK(0),K=1,…,M}, which identify an initial HES, this system can be readily solved numerically to yield the time evolution of the 2M HE constraint potentials αK(t) and βK(t), along with that of the overall system’s SEA nonequilibrium potentials α(t), β(t). It is clear from Equations (95) and (97) that the time evolution does not end until (i) β and all the βK’s converge to the same value, β(∞)=βSE, and (ii) α and all the αK’s converge to the same value, α(∞)=αSE. This observation corroborates the interpretation of β as playing the role of a dynamic nonequilibrium inverse temperature.

As the state evolves toward the canonical Gibbs state ρSE=exp(−βSEH)/Z(βSE) with inverse temperature βSE identified by the initial mean energy Tr(ρ(0)H), the values of the SEA potentials α and β keep changing as the local energies 〈HK〉 are redistributed among the HE sectors.

Substituting Equations (95) and (97) into (88) yields

1kBdsiKKdt=dαKdt+dβKdtεiKK. (98)

which coincides with Equation (35) and, therefore, proves that the HE manifold is invariant under the SEAQT equation of motion. It is in fact a strongly invariant manifold, because, as noted above, every density operator in PHES(H) belongs to a trajectory lying entirely within PHES(H) and well defined in the interval −∞≤t≤∞, evolving in forward time from a minimum value to a maximum value of the entropy. As emphasized and exemplified in [58], this feature of SEAQT, which extends to HE–SEAQT, can be interpreted as implementing a strong version of the principle of causality, whereby knowing the state at time t=0 identifies a unique trajectory in state space covering the future as well as the past. Mathematically, the time evolution is governed by a temporally reversible one-parameter group (not a semigroup as in the GKSL equation), which nevertheless describes a thermodynamically irreversible evolution, establishing as dynamical theorems both the principle of entropy non-decrease in forward time and the Hatsopoulos–Keenan statement of the second law, i.e., the conditional stability of the maximum entropy (Gibbs) states (‘conditional’ in the technical sense detailed in [71]).

Now, recalling Equations (41) and (42) and using Equations (95) and (97), the rates of change of the sector energies and entropies during the irreversible redistribution of populations may be computed from the relations

d〈HK〉dt=−HKdαKdt−HKHKdβKdt, (99)
1kBd〈SK〉dt=pK−SK/kBdαKdt+HK−SKHK/kBdβKdt. (100)

Furthermore, it is worth emphasizing another important feature of the HE (and RCCE) approximation, namely, that even though it reduces the description of the dynamics from the full set of differential equations for the N2−1 real parameters needed to determine a state operator ρ to the possibly much smaller set of 2M constraint potentials αK and βK, it does not reduce the state description. At any instant of time, via Equation (32), the values of the αK’s and βK’s determine the full density operator and, therefore, allow computation of the mean values of all the system’s properties.

The SEA potentials α and β can be interpreted as the effective nonequilibrium properties that mediate the relaxation of the entire system. Their final values emerge from a competitive consensus between sectors, where each sector K exerts a “leverage” proportional to its statistical weight pK, its internal energy fluctuations, and its relaxation speed 1/τK. To formalize this, the numerators and denominators of Equations (75) are rewritten as follows:

β=∑K=1M[〈ε2〉wK−(〈ε〉wK)2]wKβK〈ε2〉w−(〈ε〉w)2+∑K=1M(〈s〉wK−〈s〉w)(〈ε〉wK−〈ε〉w)wK〈ε2〉w−(〈ε〉w)2, (101)

where the following local weighted averages are defined:

〈x〉wK=1wK∑iK=1MKwiKKxiKK,wK=∑iK=1MKwiKK. (102)

This decomposition reveals that the SEA global inverse temperature β is shaped by two distinct physical contributions. The first term represents a weighted average of the HESS local βK values where the importance of each sector is scaled by its energy fluctuations. This implies that sectors with broader energy distributions (i.e., higher heat capacities) contribute more significantly to the instantaneous value of β which, as shown by Equations (95) and (97), acts as a common attractor for the local βK values. The second term accounts for the entropy–energy covariance between sector weighted averages. It captures how the displacement of a sector’s mean energy and mean entropy from the respective global averages affects the overall target slope of the entropy–energy relation.

Given these relations, a single sector L can dominate the global β and impose its local value βL—thus acting as an internal heat bath—under three specific conditions: (i) Statistical Weight: when wL→1, meaning the sector encompasses nearly the entire system; (ii) Fluctuation Dominance: when the internal variance of sector L is much larger than that of all other sectors combined, effectively overwhelming their contributions and cross-couplings; (iii) Geometric Leverage: when sector L is located at an extreme energy mean (〈ε〉wL≫〈ε〉w), acting as a “leverage point” that pivots the global regression line toward its own local parameters. In these cases, sector L acts as a stabilizer: its high “nonequilibrium thermal inertia” allows it to absorb significant energy fluctuations without shifting its own local potentials, effectively “pinning” the global α and β to its local values. Consequently, the heat bath dictates the target temperature of the system, forcing smaller, more volatile sectors to align and equilibrate. In the quasihomogeneous near-equilibrium limit, where βK≈β, the second term vanishes if the sector averages align perfectly along the global equilibrium line, effectively realizing a form of energy equipartition across the HE ensemble.

7. NH-HE–SEAQT: Model of Non-Hamiltonian Heat Interaction Between Unstructured Systems

Building on the sectoral decomposition developed for an isolated system in Section 6, the model is now extended to describe heat interactions between two or more systems. The suggestions in [36,41] for a heuristic extension of the SEA and HE mathematical frameworks are followed to develop an effective and thermodynamically consistent model of heat interactions between systems. This approach is fundamentally different from that discussed in Section 6 and Appendix A and Appendix B, where energy exchanges between subsystems can only occur via the effects of an interaction Hamiltonian V through the von Neumann (Hamiltonian) term in the equation of motion (Equations (A1) and (A2)). Here, instead, energy exchanges between subsystems are modeled via “entropic coupling” provided by a less-constrained SEA dissipative term in the equation of motion.

All the HE assumptions discussed so far and the SEA assumptions reviewed in Appendix A and Appendix B are adopted except for the following important modification. As detailed in Appendix A, the variational principle that leads to the composite-system version of the SEA equation of motion is stated as follows:

  • (SEAQT3): 

    The dissipative part of the evolution equation ensures that, with respect to a local dissipative metric G^J, the direction of the local trajectory γJ(t), maximizes the local contribution, s˙|J, to the overall system’s entropy production rate. Under the constraints cq˙|J=0, which guarantee that the dissipative part of the dynamics does not contribute to the rates of change of the locally perceived global charges Cq (so that these emerge as constants of the motion if they are conserved also by the Hamiltonian part, i.e., if [H,Cq]=0).

The rates of change of the overall system entropy, 〈S〉, and of the overall system mean value of Q linear charges 〈Cq〉=Tr(ρCq), are written as

d〈S〉dt=∑J=1Ms˙|Js˙|J=2(S)ρJγJ|γ˙Jd, (103)
d〈Cq〉dt=∑J=1Mcq˙|Jcq˙|J=2(Cq)ρJγJ|γ˙Jd, (104)

exhibiting additive contributions from the M subsystems. Introducing the Lagrange multipliers ϑqJ and τJ for the constraints, the SEAQT γ˙Jd’s are found by solving the M local maximization problems

maxγ˙JdΥJ=s˙|J−∑q=1QϑqJcq˙|J−kBτJ2γ˙Jd|G^J|γ˙Jd,foreveryJ=1,…,M (105)

where the last constraint corresponds to the condition (dℓJd/dt)2=constant, necessary for maximizing with respect to direction only (see [9,17,18] for more details). Since the local maximization problems (105) are independent, they can also be rewritten as a single, equivalent overall maximization problem, namely,

maxγ˙JdΥ=∑J=1Ms˙|J−∑J=1M∑q=1QϑqJcq˙|J−∑J=1MkBτJ2γ˙Jd|G^J|γ˙Jd, (106)

The first two charges are always the identity operator, C1=I, which implements the Trρ=1 constraint and the Hamiltonian operator, for C2=H, which implements the TrρH=constant constraint. The Lagrange multiplier ϑ2J (usually renamed kBβJ) plays the role of “local nonequilibrium inverse temperature” conjugated with the locally perceived energy, and for the stable equilibrium states of the SEA dynamics, it coincides with the thermodynamic inverse temperature.

The present heuristic model of heat interaction proposed in [37], instead, adopts the following modified assumption, which is called non-Hamiltonian (NH) here because it results in energy and entropy exchanges between subsystems that are driven directly by the SEA dissipative term in the equation of motion.

  • (NH-SEAQT3): 

    The dissipative part of the evolution equation ensures that, with respect to a local dissipative metric G^J, the direction of the local trajectory γJ(t), maximizes the local contribution, s˙|J, to the overall system’s entropy production rate, under local conservation constraints cq˙|J=0 of the locally perceived global charges Cqlocal, for all q’s except q=2 corresponding to the Hamiltonian C2=H, for which the conservation constraint is global (not local). [To model heat-and-diffusion interactions, the same exception is also extended in [40] to the number-of-particle operator(s) C3=N (C2+i=Ni).

Therefore, the less-constrained overall maximization problem,

maxγ˙JdΥ=∑J=1Ms˙|J−∑J=1M∑q≠2QϑqJcq˙|J−ϑ2∑J=1Mc2˙|J−∑J=1MkBτJ2γ˙Jd|G^J|γ˙Jd, (107)

is adopted so that the constraints of the locally perceived mean energy conservation within each subsystem are replaced by a single constraint of global mean energy conservation.

Setting the variational derivatives of Υ with respect to each |γ˙Jd) equal to zero, yields, in terms of the “locally perceived nonequilibrium Massieu operators” (M)ρJ,

|γ˙Jd)=1kBτJG^J−1|2(M)ρJγJ),(M)ρJ=(S)ρJ−∑q≠2QϑqJ(Cq)ρJ−ϑ2(C2)ρJ. (108)

where the local Lagrange multipliers ϑqJ (q≠2) and the global ϑ2, dubbed “NH-SEA potentials,” are the solution of the system of equations obtained by substituting Equation (108) into the conservation constraints, cq˙|J=0 for q≠2 and ∑J=1Mc2˙|J=0, such that

(Cℓ)ρJγJ|G^J−1|(M)ρJγJ=0∀Jandℓ≠2,∑J=1M(C2)ρJγJ|G^J−1|(M)ρJγJ=0. (109)

The same set of assumptions detailed in Appendix A and Appendix B and Section 4 are adopted with regard to (i) the local metrics GJ (Assumptions SEAQT5-7); (ii) the absence of interaction terms in the overall system’s Hamiltonian and correlations between subsystems (Assumption CSHE1); (iii) the HE decomposition of the Hilbert space of each subsystem (Assumptions CSHE2-4); (iv) the CSHE assumption (CSHE5) on the state; (v) the minimal set of generators of the motion, i.e., Q=2, C1=I and C2=H, and the corresponding renaming of the Lagrange multipliers, ϑ1J=kBαJ and ϑ2=kBβ. As a result,

(M)ρJ=MJ=SJ−kBαJIJ−kBβHJ=kB∑KJ=1MJ[(αKJJ−αJ)PKJJ+(βKJJ−β)HKJJ], (110)

and the system of equations that determines the Lagrange multipliers becomes

∑KJ=1MJpKJJτKJJTr(ρ˜KJJMJ)=0,∀J,∑J=1M∑KJ=1MJpKJJτKJJTr(ρ˜KJJHJMJ)=0, (111)

It may be rewritten as

∑K=1M1τKJJ(αKJJ−αJ)pKJJ+(βKJJ−β)〈HKJJ〉=0∀J, (112)
∑J=1M∑K=1M1τKJJ(αKJJ−αJ)〈HKJJ〉+(βKJJ−β)〈HKJJHKJJ〉=0, (113)

and has the solution

kBαJ=〈s〉wJ−kBβ〈ε〉wJ,∀J, (114)
kBβ=∑J=1M1τ˜JBSHJ−BSJBHJ∑J=1M1τ˜JBHHJ−BHJBHJ=∑J=1M1τ˜J〈ΔwsΔwε〉wJ∑J=1M1τ˜J〈ΔwεΔwε〉wJ=kB∑J=1MvJβJeff∑J=1MvJ, (115)
kBβJeff=BSHJ−BSJBHJBHHJ−BHJBHJ,vJ=BHHJ−BHJBHJτ˜J, (116)

where the BJ’s and the weighted averages 〈·〉wJ are defined as in Equations (76)–(81).

The rates of change of the HE constraint potentials are still given by relaxation equations like (95) and (97), and the subsystems’ energies and entropies by relations similar to (99) and (100). Thus,

τKJJdαKJJdt=αJ−αKJJ,τKJJdβKJJdt=β−βKJJ, (117)
d〈HKJJ〉dt=−〈HKJJ〉dαKJJdt−〈HKJJHKJJ〉dβKJJdt, (118)
1kBd〈SKJJ〉dt=pKJJ−〈SKJJ〉/kBdαKJJdt+〈HKJJ〉−〈SKJJHKJJ〉/kBdβKJJdt, (119)

These equations indicate that—while the overall system relaxes (with possible overshooting during the process) towards the stable equilibrium state in which all the βKJJ’s have converged to a common value equal to β—the various sectors exchange energy and entropy, both within each subsystem and across subsystems. In Section 9, this model is detailed for the case of a composite of three systems A, B, and J, where A and B are assumed to be in locally stable equilibrium states, and could be heat baths if their heat capacities are very large.

The same concept outlined in this section has been implemented for systems with variable amounts of constituents. In addition to globally constraining the mean energy, the mean number of particles of each type are globally constrained so that the dissipative term in the NH-SEAQT equation of motion results in effective exchanges of energy and entropy as well as particles between subsystems. As discussed in [35], this approach extends the modeling of heat-diffusion, mass-diffusion, and heat-and-mass-diffusion interactions to the nonequilibrium domain in which subsystems are in local equilibrium or in HES’s that are not necessarily close to mutual equilibrium.

8. NH-SEAQT Model of Heat Interaction Between Two Systems in Local but Not Mutual Equilibrium

To illustrate the applications allowed by the NH-SEAQT framework just outlined in Section 7, the simplest case of a composite of only two subsystems A and B each with a single HE sector is considered (hence the subscript 1, used below for notational consistency). Under these conditions, the general relations of Section 7 reduce to

α1A=lnZ1A(β1A),dα1Adt=−〈HA〉dβ1Adt,α1B=lnZ1B(β1B),dα1Bdt=−〈HB〉dβ1Bdt, (120)
β=vAβ1A+vBβ1BvA+vB,vA=BHHA−BHABHAτ˜A,vB=BHHB−BHBBHBτ˜B, (121)
τAdβ1Adt=β−β1A,τBdβ1Bdt=β−β1B, (122)
d〈HA〉dt=(β1A−β)vA=−vAvBvA+vBβ1B−β1A=−(β1B−β)vB=−d〈HB〉dt, (123)
1kBd〈SA〉dt=(β1A−β)vAβ1A,1kBd〈SB〉dt=(β1B−β)vBβ1B, (124)
1kBd〈S〉dt=vAvBvA+vBβ1B−β1A2(clearly≥0). (125)

The overall entropy production is non-negative until β1A and β1B equalize. Energy flows from A to B when β1A<β1B. Using standard thermodynamic notation (see, e.g., [69,72]), it is denoted as E˙A→B and is taken to be positive in the direction of the arrow.

An effective temperature TQAB—where the subscript Q indicates a quantity associated with the heat interaction—can also be identified and an entropy flow related to the energy flow via the heat-interaction expression defined, i.e.,

S˙A→B=E˙A→BTQAB,withTQAB=1kBβwhereβ=vAβ1A+vBβ1BvA+vB. (126)

Here, TQAB=1/kBβ gives physical meaning to the SEA nonequilibrium potential β, namely, that it is the weighted average of the inverse temperatures of the two interacting systems, as defined in Equation (121), where the weights vA=cA/kBβ1AτA and vB=cB/kBβ1BτB change in time and are related to the heat capacities and relaxation times of the respective systems. With this identification of the entropy flow, the local rates of entropy production within the two systems can be identified and the energy and entropy balance equations written as

d〈HA〉dt=−E˙A→B,d〈HB〉dt=E˙A→B (127)
E˙A→B=vAvBvA+vBβ1B−β1A, (128)
d〈SA〉dt=−kBβE˙A→B+S˙irrA,d〈SB〉dt=kBβE˙A→B+S˙irrB, (129)
S˙irrA=kBβ1A−β2vA(clearly≥0),S˙irrB=kBβ1B−β2vB(clearly≥0). (130)

Notice that Equation (128) is cast as a Fourier-law-like linear-looking relation between the energy flow and the finite difference in inverse temperatures of the two systems. It is, however, a highly nonlinear relation since the proportionality coefficient vAvB/(vA+vB)=cAcB/(kBβ1AτAcA+kBβ1BτBcB) is a nonlinear function of the inverse temperatures.

In the near-equilibrium limit as β1A and β1B approach each other so that β1A≈β≈β1B; the model is consistent with the strict definition of a heat interaction at temperature TQAB—as given in [68] (Section 12.3) and [69] (Section 40)—as well as with the linear Fourier-like law with coefficient vAvB/(vA+vB)≈cAcBTQAB/(τAcA+τBcB).

9. NH-HE–SEAQT Model of SEA-Driven Energy and Entropy Exchange Between a System and Two Other Systems in Local but Not Mutual Equilibrium

As a further illustration, consider the case of a composite of three subsystems A, B, and J, where A and B are each assumed to have a single HE sector (hence the subscript 1) (and could represent heat baths if their heat capacities are very large), while system J is assumed to be in HES’s with respect to a HESS decomposition. The additional assumptions are as follows: (i) uncorrelated states (i.e., ρ=ρA⊗ρJ⊗ρB); (ii) no interaction Hamiltonians (i.e., VJ−A=0, VJ−B=0, and VA−B=0); (iii) time-independent Hamiltonians for A and B (i.e., dHA/dt=0 and dHB/dt=0, so that the only way the composite system can interact with other systems—such as a work element—is via the time dependence of control parameters in the Hamiltonian operator HJ).

The Hilbert space, overall Hamiltonian operator, and overall state operators of the composite system are

Htot=HA⊗HJ⊗HB,HJ=⨁K=1MHK, (131)
H=HA⊗IJ⊗IB+IA⊗HJ⊗IB+IA⊗IJ⊗HB,HJ=∑K=1MHKJJ (132)
ρ=ρA⊗ρJ⊗ρB,ρA=γAγA†,ρJ=γJγJ†,ρB=γBγB† (133)
ρA=exp(−β1AHA)ZA(β1A),ρJ=∑K=1MPKexp(−αKPK−βKHK)PKZK(βK),ρB=exp(−β1BHB)ZB(β1B). (134)

The key assumption that distinguishes this SEA model from that discussed in Appendix A is that the equation of motion is obtained from a less-constrained variational principle than (SEAQT3). Instead of a local maximization problem for each subsystem (see Equation (A10)), a single global entropy production maximization problem for the overall system is assumed, subject to the following nine constraints: (i) normalization for each subsystem (three constraints); (ii) mean energy conservation for each interacting pair J-A and J-B (two constraints); (iii) a direction constraint for each separate dissipative contribution γ˙Ad, γ˙JdA, γ˙JdB, γ˙Bd (four constraints) where

dρAdt=γ˙AdγA†+γAγ˙Ad†,dρBdt=γ˙BdγB†+γBγ˙Bd†, (135)
dρJdt=γ˙JdA+γ˙JdBγJ†+γJγ˙JdA†+γ˙JdB† (136)

and therefore γ˙Ad, γ˙JdA, γ˙JdB, γ˙Bd are given by the solution of the following maximization problem (in terms of the nine Lagrange multipliers kBαA, kBαB, kBαJ, kBβJA, kBβJB, 2kBτA, 2kBτB, kBτJA/2, kBτJB/2):

maxγ˙Ad,γ˙JdA,γ˙JdB,γ˙BdΥ=2γASA|γ˙Ad+2γJSJ|(γ˙JdA+γ˙JdB)+2γBSB|γ˙Bd−kBαA2γA|γ˙Ad−kBαJ2γJ|(γ˙JdA+γ˙JdB)−kBαB2γB|γ˙Bd−kBβJA2γAHA|γ˙Ad+2γJHJ|γ˙JdA−kBβJB2γJHJ|γ˙JdB+2γBHB|γ˙Bd−2kBτAγ˙Ad|γ˙Ad−kBτJA2γ˙JdA|G^J|γ˙JdA−kBτJB2γ˙JdB|G^J|γ˙JdB−2kBτBγ˙Bd|γ˙Bd, (137)

The last four constraints correspond to the conditions necessary for maximizing with respect to local directions only. They are computed for systems A and B with respect to a uniform Fisher–Rao metric and for the two contributions J-A and J-B with respect to a metric compatible with assumptions SEAQT5 of Appendix A and HE–SEAQT6 and HE–SEAQT7 of Appendix B.

A distinctive feature of this maximization problem is the double energy conservation constraint: one ensuring that the γ˙JdA contribution conserves the overall A+J mean energy and the other that the γ˙JdB contribution conserves the overall J+B mean energy. This less-restrictive hybrid assumption is crucial because it results in non-Hamiltonian energy exchanges between A and J and between J and B but not directly between A and B.

Taking the variational derivatives of Υ with respect to |γ˙Ad), |γ˙JdA), |γ˙JdB), and |γ˙Bd) and setting them equal to zero yields, in terms of the local nonequilibrium Massieu operators,

δΥ|δγ˙Ad)=|2MAγA)−4kBτA|γ˙Ad)=0,MA=SA−kBαAIA−kBβJAHA, (138)
δΥ|δγ˙JdA)=|2MJAγJ)−kBτJAG^J|γ˙JdA)=0,MJA=SJ−kBαJIJ−kBβJAHJ, (139)
δΥ|δγ˙JdB)=|2MJBγJ)−kBτJBG^J|γ˙JdB)=0,MJB=SJ−kBαJIJ−kBβJBHJ, (140)
δΥ|δγ˙Bd)=|2MBγB)−4kBτB|γ˙Bd)=0,MB=SB−kBαBIB−kBβJBHB, (141)

and, therefore,

|γ˙Ad)=12kBτA|MAγA),|γ˙JdA)=1kBτJAG^J−1|2MJAγJ), (142)
|γ˙Bd)=12kBτB|MBγB),|γ˙JdB)=1kBτJBG^J−1|2MJBγJ), (143)

The Lagrange multipliers αA, αJ, αB, βJA, βJB are found from the solution of the system of equations obtained by substituting Equations (142) and (143) into the conservation constraints such that

γA|MAγA=0,γJ|G^J−1|MJA/τJA+MJB/τJBγJ=0,γB|MBγB=0, (144)
1τAγAHA|MAγA+4τJAγJHJ|G^J−1|MJAγJ=0. (145)
4τJBγJHJ|G^J−1|MJBγJ+1τBγBHB|MBγB=0. (146)

Under the stated HE assumptions (SEAQT5, HE–SEAQT6, HE–SEAQT7), the above equations reduce to the following for the local density operators and are similar to Equation (A35) except for the double β’s, i.e., the two SEA potentials βJA and βJB instead of a single one:

dρAdt=1τAα1A−αAρA+(β1A−βJA)HAρA,dρJdt=τ˜JτJA∑K=1MpKτK(αK−αJ)ρ˜K+(βK−βJA)HKρ˜K (147)
+τ˜JτJB∑K=1MpKτK(αK−αJ)ρ˜K+(βK−βJB)HKρ˜K, (148)
dρBdt=1τBα1B−αBρB+(β1B−βJB)HBρB. (149)

Using the same procedure as in the derivation of Equations (87) and (88) from Equation (72), Equation (148) together with piKKgiKK=Tr(ρPiKK) and siKK=−kBlnpiKK yields the following relations:

τKdpiKKdt=(ωJA+ωJB)(αK−αJ)piKK+(βK−βJAB)εiKKpiKK, (150)
τKdsiKKdt=(ωJA+ωJB)(αK−αJ)+(βK−βJAB)εiKK, (151)

where

ωJA=τ˜JτJA,ωJB=τ˜JτJB,βJAB=ωJAβJA+ωJBβJBωJA+ωJB, (152)

so that the equivalent expressions of Equations (95) and (97) become for the present case

1ωJA+ωJBdαKdt=αJ−αKτK,1ωJA+ωJBdβKdt=βJAB−βKτK. (153)

The system of equations that determines the Lagrange multipliers αA, αJ, αB, βJA, βJB is then written as

Tr(ρAMA)=0,∑K=1MpKτKTrρ˜KMJA/τJA+MJB/τJB=0,Tr(ρBMB)=0, (154)
1τATr(ρAHAMA)+τ˜JτJA∑K=1MpKτKTr(ρ˜KHJMJA)=0 (155)
τ˜JτJB∑K=1MpKτKTr(ρ˜KHJMJB)+1τBTr(ρBHBMB)=0 (156)

and, using Equations (153), may be rewritten as

α1A−αA+(β1A−βJA)〈HA〉=0,α1B−αB+(β1B−βJB)〈HB〉=0, (157)
∑K=1MαK−αJτKpK+βK−βJABτK〈HK〉=0, (158)
α1A−αAτA〈HA〉+β1A−βJAτA〈HAHA〉+ωJA∑K=1MαK−αJτK〈HK〉+βK−βJAτK〈HKHK〉=0, (159)
α1B−αBτB〈HB〉+β1B−βJBτB〈HBHB〉+ωJB∑K=1MαK−αJτK〈HK〉+βK−βJBτK〈HKHK〉=0. (160)

Recalling the definitions of βJeff and vJ (Equation (116)),

vJ=BHHJ−BHJBHJτ˜J,βJeff=1kBBSHJ−BSJBHJτ˜JvJ, (161)

and defining

vA=〈HAHA〉−〈HA〉〈HA〉τA,vB=〈HBHB〉−〈HB〉〈HB〉τB, (162)

the solution to the system of Equations (158)–(160) for the multipliers αJ,βJA,βJB is given by

αJ=BSJ−βJABBHJ,βJA=vAβ1A+vJβJeffvA+vJ,βJB=vJβJeff+vBβ1BvJ+vB. (163)

The rate of change of the energy of J is now expressed as

d〈HJ〉dt=vAvJvA+vJ(βJeff−β1A)+vBvJvB+vJ(βJeff−β1B), (164)

and the energy balance equations for the three subsystems (recall that the notation adopted is [69], E˙A→J=−E˙J→A and E˙B→J=−E˙J→B) are

d〈HA〉dt=−E˙A→J,d〈HJ〉dt=E˙A→J−E˙J→B,d〈HB〉dt=E˙J→B, (165)
E˙A→J=(βJA−β1A)vA=(βJeff−βJA)vJ=vAvJvA+vJβJeff−β1A, (166)
E˙J→B=(β1B−βJB)vB=(βJB−βJeff)vJ=−vBvJvB+vJβJeff−β1B. (167)

The rates of change of the entropy of A, B, and J are given by

1kBd〈SA〉dt=β1Ad〈HA〉dt,1kBd〈SB〉dt=β1Bd〈HB〉dt, (168)
1kBd〈SJ〉dt=vAvJvA+vJ(βJeff−β1A)+vBvJvB+vJ(βJeff−β1B)βJeff=βJeffd〈HJ〉dt, (169)

which identifies kBβJeff as the effective inverse temperature of the HE system J, relating its energy and entropy changes through a stable-equilibrium Gibbs-like relation.

Two other effective temperatures, TQAJ=1/kBβJA and TQJB=1/kBβJB, define the ratio of energy to entropy flows between J and A, and between J and B, respectively, via the typical heat-interaction expressions expressed as

S˙A→J=kBβJAE˙A→J=E˙A→JTQAJ,S˙J→B=kBβJBE˙J→B=E˙J→BTQJB, (170)

As a result, the following consistent entropy balance equations for the three subsystems are written as

d〈SA〉dt=−S˙A→J+S˙irrA,d〈SB〉dt=S˙J→B+S˙irrB, (171)
d〈SJ〉dt=S˙A→J−S˙J→B+S˙irrJ, (172)

where the expressions for the entropy generation rates in the three systems, clearly ≥0, are

1kBS˙irrA=(β1A−βJA)2vA=vAvJ2(vA+vJ)2(βJeff−β1A)2, (173)
1kBS˙irrB=(β1B−βJB)2vB=vBvJ2(vB+vJ)2(βJeff−β1B)2, (174)
1kBS˙irrJ=vA2vJ(vA+vJ)2(βJeff−β1A)2+vB2vJ(vB+vJ)2(βJeff−β1B)2. (175)

These relations, for example, show that a steady state for J, defined by the condition that d〈HJ〉/dt=0 and d〈SJ〉/dt=0, requires that βJeff obey the following weighted sum of the inverse temperatures of A and B:

βJeff|s.s.=(vB+vJ)vAβ1A+(vA+vJ)vBβ1B(vB+vJ)vA+(vA+vJ)vB→vJ≫vA,vBvAβ1A+vBβ1BvA+vB→vJ≪vA,vBβ1A+β1B2, (176)

The two limiting cases—when J relaxes much faster than A and B and when J relaxes much more slowly—are highlighted by the limit expressions in that equation.

Another important special case arises when vA≫vJ and vB≫vJ. In this limit, βJA≈β1A, βJB≈β1B, S˙irrA≈0, S˙irrB≈0, and systems A and B model the behavior of heat baths. Furthermore, by adjusting the time dependence of the parameters ωJA and ωJB and the HE Hamiltonians HK, the NH-HE–SEAQT equations (147)–(149) can model a quantum thermal machine J coupled to two reservoirs within a fully thermodynamically consistent framework (see, e.g., [38,73]).

10. Conclusions

In this work, a rigorous mathematical foundation for the HES concept within the framework of SEAQT is established. Using a general Hilbert space decomposition, a precise operator-level definition of HES’s is provided, and the reduced dynamical equations for their associated intensive parameters derived. A central result of this work is the proof of the invariant-manifold property, which demonstrates that the SEAQT equation of motion preserves the M-th-order HE structure. This justifies the use of HE variables as a consistent reduced-order representation of full quantum dynamics, ensuring that an initial “mixture of canonicals” remains within its own family during evolution.

The HE–SEAQT framework is also extended to model composite systems via an NH–SEAQT approach. Unlike standard models where energy exchange is restricted to interaction Hamiltonians, the NH–SEAQT approach uses an ‘entropic coupling’—a direct dissipative driving of energy exchange between subsystems via the less-constrained SEA dissipative term. This allows for a thermodynamically consistent description of heat-diffusion, mass-diffusion, and heat-and-mass-diffusion interactions between subsystems even in the far-from-equilibrium domain. When mean energy and particle numbers are constrained globally, the NH–SEAQT equation effectively captures the exchange of energy, entropy, and constituents between subsystems that are not necessarily close to mutual equilibrium.

Finally, the theoretical positioning of the HE–SEAQT model is clarified by establishing its formal consistency with the rate-controlled constrained equilibrium (RCCE) method. This connection identifies the evolving HE parameters as physical constraint potentials, unifying the SEAQT dissipative structure with maximum-entropy principles. These links validate the HE–SEAQT approach as a robust, computationally efficient framework for reduced-order modeling of complex, far-from-equilibrium phenomena. The mathematical consistency demonstrated here supports its ongoing application to diverse problems in quantum transport, chemical kinetics, and microstructural evolution, providing a bridge between fundamental quantum dissipation and macroscopic nonequilibrium thermodynamics.

Appendix A. SEAQT Equations of Motion

In this appendix, the tenets of the original SEAQT formalism are reviewed. A detailed discussion can be found in the recent article [11], which also discusses the foundational issues of “nosignaling” and “strong second-law compatibility” that are necessary requirements of any nonlinear, nonlocal, nonequilibrium model of quantum dynamics.

An essential ingredient of a nonlinear, dissipative quantum evolution equation for a general composite system requires declaring the system’s structure-dependent expressions so that the separate contribution of each subsystem to the dissipative term in the equation of motion for the overall state represented by the density operator ρ on the system’s Hilbert space H=⨂J=1MHJ can be determined. The internal structure of the system determines which of the M subsystems are to be protected from nonphysical effects such as signaling, the exchange of energy, or the build-up of correlations between noninteracting subsystems. Using the notation introduced in [11] for the dissipative term—which supplements the usual nondissipative Hamiltonian term—the following nosignaling structure is assumed:

  • (SEAQT1): 
    The SEAQT equation of motion for a general composite of quantum subsystems is given by
    dρdt=−iℏ[H,ρ]−∑J=1M{DρJ,ρJ}⊗ρJ¯, (A1)
    where the J-th subsystem’s dissipation operator DρJ (on HJ) may be a nonlinear function of the local observables of J, of the reduced state ρJ=TrJ¯(ρ), and of the local perception operators (LPOs) of overall observables—where LPOs are operators on HJ defined as (X)ρJ=TrJ¯[(IJ⊗ρJ¯)X] with ρJ¯=TrJ(ρ). Partial tracing Equation (A1) over HJ¯ yields
    dρJdt=−iℏ[HJ,ρJ]−iℏTrJ¯([V,ρ])−{DρJ,ρJ}, (A2)
    where V is the interaction Hamiltonian. Note that the second term on the RHS can be expressed for weak interactions and under well-known assumptions in GKSL form.
  • (SEAQT2): 
    For the dissipative term to preserve Tr(ρ), operators {DρJ,ρJ} must be traceless. To preserve Tr(ρH) (and possibly other conserved properties or charges, Tr(ρCq)), operators {DρJ,ρJ}(H)ρJ (and {DρJ,ρJ}(Cq)ρJ, with q=1⋯Q) must also be traceless. The rate of change of the overall system’s entropy 〈S〉=−kBTr[ρlnρ] is
    d〈S〉dt=−∑J=1MTr[{DρJ,ρJ}(S)ρJ]. (A3)

As proven in [11], for all possible choices of DρJ, Equation (A1) defines a broad class of nosignaling nonlinear evolution equations that are not restricted by the often-assumed condition that dρJ/dt be a function of ρJ only, which is sufficient but not necessary to prevent signaling.

The SEA assumption—in the spirit of the fourth law of thermodynamics [10]—can be cast in terms of a variational principle which selects the dissipation operators DρJ. As a first step, to trivially preserve the non-negativity and self-adjointness of ρ during its time evolution, the generalized square root of ρJ, γJ(t)=ρJ(t)U, is defined where U is an arbitrary unitary operator such that

ρJ=γJγJ†. (A4)

The dissipative term in Equation (A1) is rewritten as

−{DρJ,ρJ}=γ˙JdγJ†+γJγ˙Jd†withγ˙Jd=−DρJγJ. (A5)

Next, on the set L(HJ) of linear operators on HJ, the real inner product (·|·) is defined as

(X|Y)=Tr(X†Y+Y†X)/2, (A6)

so that the unit-trace condition for ρJ is rewritten as (γJ|γJ)=1, implying that the γJ’s lie on the unit sphere in L(HJ)—along with their time-evolved trajectories, γJ(t). Along these trajectories, the distance traveled between t and t+dt can be expressed as

dℓJ=(γ˙J|G^J(γJ)|γ˙J)dt, (A7)

where G^J(γJ) is some real, dimensionless, symmetric, and positive-definite operator on L(HJ) (a superoperator on H, possibly a nonlinear function of ρJ) that plays the role of a local metric tensor field characterizing the system’s internal perception of distance between nonequilibrium states.

The rates of change of the overall system entropy, 〈S〉 (Equation (A3)), and of the overall system mean values of the Q linear charges, 〈Cq〉=Tr(ρCq), can be written as

d〈S〉dt=∑J=1Ms˙|Js˙|J=2(S)ρJγJ|γ˙Jd, (A8)
d〈Cq〉dt=∑J=1Mcq˙|Jcq˙|J=2(Cq)ρJγJ|γ˙Jd, (A9)

where both equations exhibit additive contributions from the subsystems.

Finally, the variational principle that leads to expressions for the γ˙Jd and the DρJ that define the composite-system version of the SEA equation of motion is stated as follows:

  • (SEAQT3): 

    The dissipative part of the evolution in Equation (A1) ensures that, with respect to a local dissipative metric G^J, the direction of the local trajectory γJ(t) maximizes the local contribution of s˙|J to the overall system’s entropy production rate; while the constraints cq˙|J=0 guarantee that the dissipative part of the dynamics does not contribute to the rates of change of the locally perceived global charges Cq (so that they emerge as constants of the motion if they also commute with the Hamiltonian, i.e., [H,Cq]=0).

Introducing the Lagrange multipliers ϑqJ and τJ for the constraints, the SEAQT γ˙Jd’s are found by solving the maximization problem

maxγ˙JdΥJ=s˙|J−∑q=1QϑqJcq˙|J−kBτJ2γ˙Jd|G^J|γ˙Jd, (A10)

where the last constraint corresponds to the condition (dℓJd/dt)2=constant, necessary for maximizing with respect to direction only (see [9,17,18] for more details). Taking the variational derivative of ΥJ with respect to |γ˙Jd) and setting it equal to zero results in

δΥJ|δγ˙Jd)=|2(M)ρJγJ)−kBτJG^J|γ˙Jd)=0, (A11)

where the identity (X|G^J=G^J|X), which follows from the symmetry of the metric G^J is used and the “locally perceived nonequilibrium Massieu operator” is defined as

(M)ρJ=(S)ρJ−∑q=1QϑqJ(Cq)ρJ. (A12)

Equation (A11) then yields

|γ˙Jd)=1kBτJG^J−1|2(M)ρJγJ), (A13)

Here, the Lagrange multipliers ϑqJ (implicit in (M)ρJ) are the solution of the system of equations obtained by substituting Equation (A13) into the conservation constraints, cq˙|J=0. Thus,

(Cℓ)ρJγJ|G^J−1|(M)ρJγJ=0∀ℓ. (A14)

Using Cramer’s rule, this system can be solved explicitly for the ϑqJ’s to obtain convenient expressions for the γ˙Jd’s as ratios of determinants (as in the original formulations). The ϑqJ’s are nonlinear functionals of ρ that may be interpreted as “local nonequilibrium entropic potentials” conjugated with the conserved charges Cq. The first two charges are always the identity operator, C1=I, which implements the Trρ=1 constraint and the Hamiltonian operator, C2=H, which implements the TrρH=constant constraint. The Lagrange multiplier ϑ2J plays the role of “local nonequilibrium inverse temperature” conjugated with the locally perceived energy, and for the stable equilibrium states of the SEA dynamics, it coincides with the thermodynamic inverse temperature kBβ.

Additional charges may be considered as generators of the dissipative dynamics. For example, the vector of particle-number operators {C3=N1,…,C3+r−1=Nr}, all commuting with H, can be used to implement the number-of-particles conservation constraints TrρNj=const. The corresponding Lagrange multipliers ϑiJ play the role of “local nonequilibrium chemical potentials” conjugated with the locally perceived number of particles, and for the stable equilibrium states of the SEA dynamics, they converge to kBβμj where the μj’s are thermodynamic chemical potentials. In view of the recent interest and results about thermalization with non-commuting “charges” [74,75,76,77], it is noteworthy that the requirement that the non-Hamiltonian generators of the motion all commute with the operator H is not necessary for their mean values to be time-invariants of the SEAQT dissipative term in Equation (A1). It is only necessary for them to be time-invariants of the Hamiltonian nondissipative term. Therefore, the SEAQT equations of motion are already applicable, with no modifications needed, and able to model nonequilibrium relaxation towards the thermal state of a quantum system with non-commuting charges. In the SEAQT framework the operators Cℓ are called the non-Hamiltonian generators of the motion. Other examples include the momentum component operators for a free particle or the magnon operator of a magnetic material.

Following [9], the “local nonequilibrium affinity” operators are defined as

|ΛJ)=G^J−1/2|2(M)ρJγJ), (A15)

so that the overall rate of entropy production becomes

d〈S〉dt=∑J=1M(ΛJ|ΛJ)kBτJ, (A16)

where (ΛJ|ΛJ) is the norm of operator 2(M)ρJγJ with respect to the metric G^J−1 and may be interpreted as the “degree of disequilibrium” of subsystem J. Hence, the necessary and sufficient condition for the overall state to be locally nondissipative (no contribution to the overall entropy production from subsystem J) is that operator 2(M)ρJγJ vanishes.

The metric superoperator G^J plays a role analogous to the symmetric thermal conductivity tensor k^ in heat transfer theory. In that context, k^ defines the general near-equilibrium linear relationship, |q″)=−k^|∇T), between the heat flux vector q″ and the conjugated “degree of disequilibrium” vector, i.e., the temperature gradient ∇T. Here, the SEAQT dissipative term in the equation of motion expresses a more general linear relationship between the local evolution operator γ˙Jd and the nonequilibrium Massieu operator, (S)ρJ−∑qϑqJ(Cq)ρJ. This relation is more general, as it holds not only near equilibrium but also anywhere far from equilibrium. In the present quantum modeling context, it represents the nonlinear SEA extension into the far-nonequilibrium domain of Onsager’s linear near-equilibrium theory, with reciprocity naturally embedded through the symmetry of any metric. As in heat transfer theory where the conductivity tensor for an isotropic material is k^=kI^, in the SEAQT formalism, an analogous simplification is obtained when G^J=I^J, the identity operator on L(HJ). This corresponds to assuming a uniform Fisher–Rao metric, as is done in early versions of the SEAQT formalism.

In order for the SEAQT equation of motion to be independent of the unitary operators U used (in γJ=ρJU) to define the generalized square roots of ρJ, the choice of the metric superoperator, G^J, is further restricted by the following general assumption:

  • (SEAQT4): 

    G^J=LJ−1I^J is assumed, with LJ a strictly positive, hermitian operator on HJ and I^J the identity operator on L(HJ).

From this, it follows that: G^J|X)=|LJ−1X); G^J−1|X)=|LJX); (XγJ|G^J−1|YγJ)=12TrρJ(X†LJY+Y†LJX); and the dissipative terms in Equation (A1) become

−{DρJ,ρJ}=2kBτJLJ(M)ρJρJ+ρJ(M)ρJLJ; (A17)

The system of equations that determines the Lagrange multipliers ϑqJ in (M)ρJ is then

TrρJ(Cℓ)ρJLJ(M)ρJ+(M)ρJLJ(Cℓ)ρJ=0forℓ=1,…,Q; (A18)

where the dependence on γJ is only through the product γJγJ†, i.e., the local state operator ρJ; and the (non-negative) entropy production is

d〈S〉dt=4∑J=1MTr[ρJ(M)ρJLJ(M)ρJ]kBτJ. (A19)
  • (SEAQT5): 
    The operator LJ, which determines the local dissipative metric G^J=LJ−1I^J, is assumed to commute with the nonequilibrium Massieu operators (M)ρJ, i.e., given the spectral form (M)ρJ=∑iJ=1dimHJmiJJRiJJ where the RiJJ’s are one-dimensional eigenprojectors, the operator LJ (for every J) can be written as
    LJ=τJ4∑iJ=1dimHJ1τiJJRiJJ,andLJ−1=4τJ∑iJ=1dimHJτiJJRiJJ, (A20)
    (the prefactor τJ/4 is introduced here to make contact with the notation in previous papers on SEA and SEAQT and to keep operator LJ dimensionless) so that the SEA dissipator DρJ in the SEAQT Equation (A1) takes the form
    DρJ=−LJ(M)ρJ=−(M)ρJLJ=−τJ4∑iJ=1dimHJmiJJτiJJRiJJ, (A21)
    and the constraining Equation (A18) and the overall entropy production become
    TrρJ{DρJ,(Cℓ)ρJ}=0forℓ=1,…,Q, (A22)
    d〈S〉dt=1kB∑J=1M∑iJ=1dimHJ(miJJ)2τiJJTr(ρRiJJ). (A23)

Appendix B. HE–SEAQT Assumptions for Noninteracting Subsystems

In this appendix, the HE assumptions discussed in Section 4 are merged with the SEAQT assumptions discussed in Appendix A and completed with two additional assumptions to obtain the HE–SEAQT formulation. For simplicity, the minimal set of SEA generators of the motion, i.e., Q=2, C1=I and C2=H, is assumed. Equation (61) with kBαJ=ϑ1J and kBβJ=ϑ2J then becomes

(M)ρJ=MJ=SJ−ϑ1JIJ−ϑ2JHJ=kB∑KJ=1MJ[(αKJJ−ϑ1J/kB)PKJJ+(βKJJ−ϑ2J/kB)HKJJ]=kB∑KJ=1MJ[(αKJJ−αJ)PKJJ+(βKJJ−βJ)HKJJ], (A24)

where, to simplify the notation in what follows, the superscript HE is dropped and in the last step the Lagrange multipliers, ϑ1J=kBαJ and ϑ2J=kBβJ, are renamed and called “SEA nonequilibrium potentials.”

Since by Assumption CSHE3 ρJ and HJ share the same eigenprojectors and degeneracies, the operators LJ, MJ, and ρJ commute with each other, the eigenprojectors RiJJ and PiJJ coincide, and Equations (A2) and (A17) can be rewritten as

dρJdt=−{DρJ,ρJ}=4τJkBMJLJρJ=4τJ∑KJ=1MJ[(αKJJ−αJ)PKJJ+(βKJJ−βJ)HKJJ]LJρJ, (A25)

Furthermore, recalling that each ρJ is non-singular (Assumption CSHE2),

dSJdt=−4τJMJLJ=−4kBτJ∑KJ=1MJ[(αKJJ−αJ)PKJJ+(βKJJ−βJ)HKJJ]LJ. (A26)

Equation (A18), which determine the two SEA nonequilibrium potentials αJ and βJ, can then be rewritten as

Tr(LJρJMJ)=Tr(LJρJSJ)−kBαJTr(LJρJ)−kBβJTr(LJρJHJ)=0, (A27)
Tr(LJρJMJHJ)=Tr(LJρJSJHJ)−kBαJTr(LJρJHJ)−kBβJTr(LJρJHJHJ)=0, (A28)

yielding the solution

kBαJ=ASJAHHJ−AHJASHJAIJAHHJ−AHJAHJ=ASJAIJ−kBβJAHJAIJ,kBβJ=AIJASHJ−ASJAHJAIJAHHJ−AHJAHJ, (A29)

where the following weighted mean values are defined:

AIJ=Tr(LJρJ),AHJ=Tr(LJρJHJ),ASJ=Tr(LJρJSJ), (A30)
AHHJ=Tr(LJρJHJHJ),ASHJ=Tr(LJρJSJHJ). (A31)

Finally, the following additional assumptions are assumed:

  • (HE–SEAQT6): 

    The Hamiltonian operator is time-independent; therefore, the energy eigenvalues, eigen-projectors, degeneracies, and sector identity operators PKJJ are as well.

  • (HE–SEAQT7): 
    Within each HE sector K,J the relaxation times are the same for all energy eigenlevels, i.e.,
    τiK,JK,J=τKJJforalliK,J’sandeveryKandJ. (A32)

It follows that

4LJτJ=∑iJ=1NJ1τiJJPiJJ=∑KJ=1MJ∑iK,J=1MK,J1τiK,JK,JPiK,JK,J=∑KJ=1MJ1τKJJ∑iK,J=1MK,JPiK,JK,J=∑KJ=1MJ1τKJJPKJJ, (A33)
LJρJ=τJ4∑KJ=1MJpKJJτKJJρ˜KJJ, (A34)

and, therefore, recalling the mutual orthogonality of the sector identities PKJJ, Equations (A25) and (A26) reduce to

dρJdt=−{DρJ,ρJ}=∑KJ=1MJpKJJτKJJ[(αKJJ−αJ)ρ˜KJJ+(βKJJ−βJ)HKJJρ˜KJJ], (A35)
dSJdt=−kB∑KJ=1MJ1τKJJ[(αKJJ−αJ)PKJJ+(βKJJ−βJ)HKJJ], (A36)
d〈S〉dt=kB∑KJ=1MJ1τKJJTrρ˜KJJ(αKJJ−αJ)PKJJ+(βKJJ−βJ)HKJJ2. (A37)

and the SEA potentials αJ and βJ can be written as

kBαJ=BSJBHHJ−BHJBSHJBHHJ−BHJBHJ=BSJ−kBβJBHJ,kBβJ=BSHJ−BSJBHJBHHJ−BHJBHJ, (A38)

where the redefined weighted mean values (Equations (A30) with τ˜J=τJ/4AIJ and BXJ=AXJ/AIJ) are

1τ˜J=∑KJ=1MJpKJJτKJJ,BHJ=τ˜J∑KJ=1MJ〈HKJJ〉τKJJ,BSJ=τ˜J∑KJ=1MJ〈SKJJ〉τKJJ, (A39)
BHHJ=τ˜J∑KJ=1MJ〈HKJJHKJJ〉τKJJ,BSHJ=τ˜J∑KJ=1MJ〈SKJJHKJJ〉τKJJ. (A40)

Consistent with the assumption that the subsystems are noninteracting (interaction Hamiltonian V=0), no energy exchange occurs between them. Consequently, each subsystem relaxes independently toward the canonical Gibbs state ρJSE=exp(−βJSEHJ)/ZJ(βJSE) with inverse temperature βJSE determined uniquely by its initial mean energy Tr(ρJ(0)HJ). Since these final temperatures generally differ, the noninteracting subsystems do not reach mutual equilibrium. Clearly, when no HE decomposition is assumed, MJ=1, Equations (A39) and (A40) reduce to

τ˜J=τJ,BHJ=〈HJ〉,BSJ=〈SJ〉,BHHJ=〈HJHJ〉,BSHJ=〈SJHJ〉. (A41)

Author Contributions

All authors contributed equally to all phases of this work, including conceptualization, methodology, writing, review, editing, supervision. All authors have read and agreed to the published version of the manuscript.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest.

Funding Statement

This research received no external funding.

Footnotes

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References

  • 1.Hatsopoulos G.N., Gyftopoulos E.P. A Unified Quantum Theory of Mechanics and Thermodynamics. Part I. Postulates. Found. Phys. 1976;6:15–31. doi: 10.1007/BF00708660. [DOI] [Google Scholar]
  • 2.Hatsopoulos G.N., Gyftopoulos E.P. A Unified Quantum Theory of Mechanics and Thermodynamics. Part IIa. Available Energy. Found. Phys. 1976;6:127–141. doi: 10.1007/BF00708955. [DOI] [Google Scholar]
  • 3.Hatsopoulos G.N., Gyftopoulos E.P. A Unified Quantum Theory of Mechanics and Thermodynamics. Part IIb. Stable Equilibrium States. Found. Phys. 1976;6:439–455. doi: 10.1007/BF00715033. [DOI] [Google Scholar]
  • 4.Hatsopoulos G.N., Gyftopoulos E.P. A Unified Quantum Theory of Mechanics and Thermodynamics. Part III. Irreducible Quantal Dispersions. Found. Phys. 1976;6:561–570. doi: 10.1007/BF00715108. [DOI] [Google Scholar]
  • 5.Beretta G.P. arXiv. Massachusetts Institute of Technology; 2005. On the General Equation of Motion of Quantum Thermodynamics and the Distinction between Quantal and Nonquantal Uncertainties; ScD thesis, Massachusetts Institute of Technology, 1981.quant-ph/0509116 [DOI] [Google Scholar]
  • 6.Beretta G.P., Gyftopoulos E.P., Park J.L., Hatsopoulos G.N. Quantum Thermodynamics. A New Equation of Motion for a Single Constituent of Matter. Il Nuovo C. B. 1984;82:169–191. doi: 10.1007/BF02732871. [DOI] [Google Scholar]
  • 7.Beretta G.P., Gyftopoulos E.P., Park J.L. Quantum Thermodynamics. A New equation of Motion for a General Quantum System. Il Nuovo C. B. 1985;87:77–97. doi: 10.1007/BF02729244. [DOI] [Google Scholar]
  • 8.Beretta G.P. Nonlinear Quantum Evolution Equations to Model Irreversible Adiabatic Relaxation with Maximal Entropy Production and Other Nonunitary Processes. Rep. Math. Phys. 2009;64:139–168. doi: 10.1016/S0034-4877(09)90024-6. [DOI] [Google Scholar]
  • 9.Beretta G.P. Steepest Entropy Ascent Model for Far-Nonequilibrium Thermodynamics: Unified Implementation of the Maximum Entropy Production Principle. Phys. Rev. E. 2014;90:042113. doi: 10.1103/PhysRevE.90.042113. [DOI] [PubMed] [Google Scholar]
  • 10.Beretta G.P. The Fourth Law of Thermodynamics: Steepest Entropy Ascent. Philos. Trans. R. Soc. A. 2020;378:20190168. doi: 10.1098/rsta.2019.0168. [DOI] [PubMed] [Google Scholar]
  • 11.Ray R.K., Beretta G.P. No-Signaling in Steepest Entropy Ascent: A Nonlinear, Non-Local, Non-Equilibrium Quantum Dynamics of Composite Systems Strongly Compatible with the Second Law. Entropy. 2025;27:1018. doi: 10.3390/e27101018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Breuer H.P., Petruccione F. The Theory of Open Quantum Systems. 1st ed. Oxford University Press; Oxford, UK: 2007. [DOI] [Google Scholar]
  • 13.von Neumann J. Mathematical Foundations of Quantum Mechanics. Princeton University Press; Princeton, NJ, USA: 1955. translated from the original 1932 German edition. [DOI] [Google Scholar]
  • 14.Beretta G.P. Time–Energy and Time–Entropy Uncertainty Relations in Nonequilibrium Quantum Thermodynamics under Steepest-Entropy-Ascent Nonlinear Master Equations. Entropy. 2019;21:679. doi: 10.3390/e21070679. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Korsch H.J., Steffen H. Dissipative Quantum Dynamics, Entropy Production and Irreversible Evolution Towards Equilibrium. J. Phys. A Math. Gen. 1987;20:3787. doi: 10.1088/0305-4470/20/12/028. [DOI] [Google Scholar]
  • 16.Hensel M., Korsch H.J. Dissipative Quantum Dynamics: Solution of the Generalized von Neumann Equation for the Damped Harmonic Oscillator. J. Phys. A Math. Gen. 1992;25:2043. doi: 10.1088/0305-4470/25/7/040. [DOI] [Google Scholar]
  • 17.Gheorghiu-Svirschevski S. Nonlinear Quantum Evolution with Maximal Entropy Production. Phys. Rev. A. 2001;63:022105. doi: 10.1103/PhysRevA.63.022105. [DOI] [Google Scholar]
  • 18.Gheorghiu-Svirschevski S. Addendum to “Nonlinear Quantum Evolution with Maximal Entropy Production”. Phys. Rev. A. 2001;63:054102. doi: 10.1103/PhysRevA.63.054102. [DOI] [Google Scholar]
  • 19.Tabakin F. Model Dynamics for Quantum Computing. Ann. Phys. 2017;383:33–78. doi: 10.1016/j.aop.2017.04.013. [DOI] [Google Scholar]
  • 20.Tabakin F. Local Model Dynamics for Two Qubits. Ann. Phys. 2023;457:169408. doi: 10.1016/j.aop.2023.169408. [DOI] [Google Scholar]
  • 21.Lindblad G. On the Generators of Quantum Dynamical Semigroups. Commun. Math. Phys. 1976;48:119–130. doi: 10.1007/BF01608499. [DOI] [Google Scholar]
  • 22.Gorini V., Kossakowski A., Sudarshan E.C.G. Completely Positive Dynamical Semigroups of N-Level Systems. J. Math. Phys. 1976;17:821–825. doi: 10.1063/1.522979. [DOI] [Google Scholar]
  • 23.Kosloff R. Quantum Thermodynamics and Open-Systems Modeling. J. Chem. Phys. 2019;150:204105. doi: 10.1063/1.5096173. [DOI] [PubMed] [Google Scholar]
  • 24.Manzano D. A Short Introduction to the Lindblad Master Equation. AIP Adv. 2020;10:025106. doi: 10.1063/1.5115323. [DOI] [Google Scholar]
  • 25.Kossakowski A. On Necessary and Sufficient Conditions for a Generator of a Quantum Dynamical Semi-Group. Bull. Acad. Sci. Math. 1972;20:1021–1025. [Google Scholar]
  • 26.Ingarden R.S., Kossakowski A. On the Connection of Nonequilibrium Information Thermodynamics with Non-Hamiltonian Quantum Mechanics of Open Systems. Ann. Phys. 1975;89:451–485. doi: 10.1016/0003-4916(75)90190-6. [DOI] [Google Scholar]
  • 27.Kraus K. In: States, Effects, and Operations: Fundamental Notions of Quantum Theory; Lecture Notes in Physics (Lectures in Mathematical Physics at the University of Texas at Austin) Böhm A., Dollard J.D., Wootters W.H., editors. Volume 190. Springer; Berlin/Heidelberg, Germany: 1983. [DOI] [Google Scholar]
  • 28.Nielsen M.A., Chuang I.L. Quantum Computation and Quantum Information. 10th printing ed. Cambridge University Press; Cambridge, UK: 2009. [Google Scholar]
  • 29.Choi M.D. Completely Positive Linear Maps on Complex Matrices. Linear Algebra Appl. 1975;10:285–290. doi: 10.1016/0024-3795(75)90075-0. [DOI] [Google Scholar]
  • 30.Kraus K. General State Changes in Quantum Theory. Ann. Phys. 1971;64:311–335. doi: 10.1016/0003-4916(71)90108-4. [DOI] [Google Scholar]
  • 31.Stinespring W.F. Positive Functions on C*-Algebras. Proc. Am. Math. Soc. 1955;6:211–216. doi: 10.2307/2032342. [DOI] [Google Scholar]
  • 32.Spohn H. Approach to Equilibrium for Completely Positive Dynamical Semigroups of N-Level Systems. Rep. Math. Phys. 1976;10:189–194. doi: 10.1016/0034-4877(76)90040-9. [DOI] [Google Scholar]
  • 33.Spohn H., Lebowitz J.L. From the Microscopic to the Macroscopic. World Scientific; Singapore: 2025. Irreversible Thermodynamics for Quantum Systems Weakly Coupled to Thermal Reservoirs; pp. 73–106. [DOI] [Google Scholar]
  • 34.Witten E. A Mini-Introduction to Information Theory. Riv. Nuovo C. 2020;43:187–227. doi: 10.1007/s40766-020-00004-5. [DOI] [Google Scholar]
  • 35.von Spakovsky M.R., Reynolds W.T., Jr., Damián Ascencio C.E. Quantum Thermodynamics: SEAQT Formalism. 1st ed. Springer-Nature; New York, NY, USA: 2026. [Google Scholar]
  • 36.Li G., von Spakovsky M.R. Steepest-Entropy-Ascent Quantum Thermodynamic Modeling of the Relaxation Process of Isolated Chemically Reactive Systems using Density of States and the Concept of Hypoequilibrium State. Phys. Rev. E. 2016;93:012137. doi: 10.1103/PhysRevE.93.012137. [DOI] [PubMed] [Google Scholar]
  • 37.Li G., von Spakovsky M.R. Generalized Thermodynamic Relations for a System Experiencing Heat and Mass Diffusion in the Far-from-Equilibrium Realm Based on Steepest Entropy Ascent. Phys. Rev. E. 2016;94:032117. doi: 10.1103/PhysRevE.94.032117. [DOI] [PubMed] [Google Scholar]
  • 38.Li G., von Spakovsky M.R. Modeling the Nonequilibrium Effects in a Nonquasiequilibrium Thermodynamic Cycle Based on Steepest Entropy Ascent and an Isothermal-Isobaric Ensemble. Energy. 2016;115:498–512. doi: 10.1016/j.energy.2016.09.010. [DOI] [Google Scholar]
  • 39.Li G., von Spakovsky M.R. Study on Nonequilibrium Size and Concentration Effects on the Heat and Mass Diffusion of Indistinguishable Particles Using Steepest-Entropy-Ascent Quantum Thermodynamics. J. Heat Transf. 2017;139:122003. doi: 10.1115/1.4036735. [DOI] [Google Scholar]
  • 40.Li G., von Spakovsky M.R. Steepest-Entropy-Ascent Model of Mesoscopic Quantum Systems Far from Equilibrium Along with Generalized Thermodynamic Definitions of Measurement and Reservoir. Phys. Rev. E. 2018;98:042113. doi: 10.1103/physreve.98.042113. [DOI] [Google Scholar]
  • 41.Li G., von Spakovsky M.R., Hin C. Steepest Entropy Ascent Quantum Thermodynamic Model of Electron and Phonon Transport. Phys. Rev. B. 2018;97:024308. doi: 10.1103/PhysRevB.97.024308. [DOI] [Google Scholar]
  • 42.Keck J.C., Gillespie D. Rate-Controlled Partial-Equilibrium Method for Treating Reacting Gas Mixtures. Combust. Flame. 1971;17:237–241. doi: 10.1016/S0010-2180(71)80166-9. [DOI] [Google Scholar]
  • 43.Beretta G.P., Keck J.C., Janbozorgi M., Metghalchi H. The Rate-Controlled Constrained-Equilibrium Approach to Far-from-Local-Equilibrium Thermodynamics. Entropy. 2012;14:92–130. doi: 10.3390/e14020092. [DOI] [Google Scholar]
  • 44.Hadi F., H. Sheikhi M.R. A Comparison of Constraint and Constraint Potential Forms of the Rate-Controlled Constraint-Equilibrium Method. J. Energy Resour. Technol. 2015;138:022202. doi: 10.1115/1.4031614. [DOI] [Google Scholar]
  • 45.Gorban A.N., Karlin I.V. Quasi-Equilibrium Closure Hierarchies for the Boltzmann Equation. Phys. A Stat. Mech. Appl. 2006;360:325–364. doi: 10.1016/j.physa.2005.07.016. [DOI] [Google Scholar]
  • 46.Kooshkbaghi M., Frouzakis C.E., Boulouchos K., Karlin I.V. Spectral Quasi-Equilibrium Manifold for Chemical Kinetics. J. Phys. Chem. A. 2016;120:3406–3413. doi: 10.1021/acs.jpca.6b01709. [DOI] [PubMed] [Google Scholar]
  • 47.Snowden T.J., van der Graaf P.H., Tindall M.J. Methods of Model Reduction for Large-Scale Biological Systems: A Survey of Current Methods and Trends. Bull. Math. Biol. 2017;79:1449–1486. doi: 10.1007/s11538-017-0277-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Keck J.C. Rate-Controlled Constrained Cquilibrium Method for Treating Reactions in Complex Systems. In: Levine R.D., Tribus M., editors. The Maximum Entropy Formalism. MIT Press; Cambridge, MA, USA: 1979. pp. 219–245. [Google Scholar]
  • 49.Keck J.C. Rate-Controlled Constrained-Equilibrium Theory of Chemical Reactions in Complex Systems. Prog. Energy Combust. Sci. 1990;16:125–154. doi: 10.1016/0360-1285(90)90046-6. [DOI] [Google Scholar]
  • 50.Español P. Statistical Mechanics of Coarse-Graining. In: Karttunen M., Lukkarinen A., Vattulainen I., editors. Novel Methods in Soft Matter Simulations. Springer; Berlin/Heidelberg, Germany: 2004. pp. 69–115. [DOI] [Google Scholar]
  • 51.Ren Z., Pope S.B., Vladimirsky A., Guckenheimer J.M. The Invariant Constrained Equilibrium Edge Preimage Curve Method for the Dimension Reduction of Chemical Kinetics. J. Chem. Phys. 2006;124:114111. doi: 10.1063/1.2177243. [DOI] [PubMed] [Google Scholar]
  • 52.Grmela M. Contact Geometry of Mesoscopic Thermodynamics and Dynamics. Entropy. 2014;16:1652–1686. doi: 10.3390/e16031652. [DOI] [Google Scholar]
  • 53.Grmela M., Klika V., Pavelka M. Gradient and GENERIC Time Evolution Towards Reduced Dynamics. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 2020;378:20190472. doi: 10.1098/rsta.2019.0472. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Barbaresco F. Symplectic Foliation Structures of Non-Equilibrium Thermodynamics as Dissipation Model: Application to Metriplectic Nonlinear Lindblad Quantum Master Equation. Entropy. 2022;24:1626. doi: 10.3390/e24111626. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Morrison P.J., Updike M.H. Inclusive Curvaturelike Framework for Describing Dissipation: Metriplectic 4-Bracket Dynamics. Phys. Rev. E. 2024;109:045202. doi: 10.1103/PhysRevE.109.045202. [DOI] [PubMed] [Google Scholar]
  • 56.Barbaresco F. Jean-Marie Souriau’s Symplectic Foliation Model of Sadi Carnot’s Thermodynamics. Entropy. 2025;27:509. doi: 10.3390/e27050509. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Chiavazzo E. Approximation of Slow and Fast Dynamics in Multiscale Dynamical Systems by the Linearized Relaxation Redistribution Method. J. Comput. Phys. 2012;231:1751–1765. doi: 10.1016/j.jcp.2011.11.007. [DOI] [Google Scholar]
  • 58.Beretta G.P., Janbozorgi M., Metghalchi H. Degree of Disequilibrium Analysis for Automatic Selection of Kinetic Constraints in the Rate-Controlled Constrained-Equilibrium Method. Combust. Flame. 2016;168:342–364. doi: 10.1016/j.combustflame.2016.02.005. [DOI] [Google Scholar]
  • 59.Rivadossi L., Beretta G.P. Validation of the ASVDADD Constraint Selection Algorithm for Effective RCCE Modeling of Natural Gas Ignition in Air. ASME J. Energy Resour. Technol. 2018;140:052201. doi: 10.1115/1.4038376. [DOI] [Google Scholar]
  • 60.Jin J., Pak A.J., Durumeric A.E.P., Loose T.D., Voth G.A. Bottom-Up Coarse-Graining: Principles and Perspectives. J. Chem. Theory Comput. 2022;18:5759–5791. doi: 10.1021/acs.jctc.2c00643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Holladay R.T. Ph.D. Thesis. Virginia Tech; Blacksburg, VA, USA: 2019. Modeling the Effects of Dissipation in a Quantum Algorithm on an NMR Quantum Computer. [Google Scholar]
  • 62.Morishita T., Kobayashi K., Ishikawa A. Relaxation Dynamics of Nonresonant Excitation Transfer Processes Assisted by Coherent Phonon Environment. Jpn. J. Appl. Phys. 2023;62:102005. doi: 10.35848/1347-4065/acfcfa. [DOI] [Google Scholar]
  • 63.Morishita T., Kobayashi K., Ishikawa A. Quantum Nano-system Dynamics Based on the Steepest-Entropy-Ascent Quantum Thermodynamics. J. Phys. Soc. Jpn. 2023;92:024001. doi: 10.7566/JPSJ.92.024001. [DOI] [Google Scholar]
  • 64.Enrique Rocha-Soto L., Eduardo Damian-Ascencio C., Saldaña-Robles A., Cano-Andrade S. Prediction of the Relaxation Time of a Transmon Qubit with the Steepest-Entropy-Ascent Quantum Thermodynamics Framework. J. Phys. A Math. Theor. 2025;58:365301. doi: 10.1088/1751-8121/adffcd. [DOI] [Google Scholar]
  • 65.Damian C., Loaiza-Brito O. The Hagedorn Temperature as a Nonequilibrium Dynamical Bottleneck in String Thermodynamics. arXiv. 2026 doi: 10.48550/arXiv.2605.06497.2605.06497 [DOI] [Google Scholar]
  • 66.Rocha-Soto L.E., Damian-Ascencio C.E., Saldaña-Robles A., Cano-Andrade S. A Description of the Quantum Mpemba Effect using the Steepest-Entropy-Ascent Quantum Thermodynamics Framework. arXiv. 2026 doi: 10.48550/arXiv.2603.24522.2603.24522 [DOI] [Google Scholar]
  • 67.Beretta G.P., Keck J.C. The Constrained-Equilibrium Approach to Nonequilibrium Dynamics. In: Gaggioli R.A., editor. Second Law Analysis and Modeling. Volume 3. ASME; New York, NY, USA: 1986. pp. 135–139. [Google Scholar]
  • 68.Gyftopoulos E.P., Beretta G.P. Thermodynamics: Foundations and Applications. Dover Publications; Mineola, NY, USA: 2005. Reprint of 1991 Macmillan edition. [Google Scholar]
  • 69.Beretta G.P. Universal Foundations of Thermodynamics: Entropy and Energy Beyond Equilibrium and Without Extensivity. Entropy. 2026;28:371. doi: 10.3390/e28040371. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Beretta G.P., Gyftopoulos E.P. What is a chemical equilibrium state? ASME J. Energy Resour. Technol. 2015;137:021008. doi: 10.1115/1.4026384. [DOI] [Google Scholar]
  • 71.Beretta G.P. A Theorem on Lyapunov Stability for Dynamical Systems and a Conjecture on a Property of Entropy. J. Math. Phys. 1986;27:305–308. doi: 10.1063/1.527390. [DOI] [Google Scholar]
  • 72.Callen H.B. Thermodynamics and an Introduction to Thermostatistics. 2nd ed. John Wiley & Sons; New York, NY, USA: 1985. [Google Scholar]
  • 73.Militello B. Steepest Entropy Ascent for Two-State Systems with Slowly Varying Hamiltonians. Phys. Rev. E. 2018;97:052113. doi: 10.1103/PhysRevE.97.052113. [DOI] [PubMed] [Google Scholar]
  • 74.Yunger Halpern N., Faist P., Oppenheim J., Winter A. Microcanonical and Resource-Theoretic Derivations of the Thermal State of a Quantum System with Noncommuting Charges. Nat. Commun. 2016;7:12051. doi: 10.1038/ncomms12051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Murthy C., Babakhani A., Iniguez F., Srednicki M., Yunger Halpern N. Non-Abelian Eigenstate Thermalization Hypothesis. Phys. Rev. Lett. 2023;130:140402. doi: 10.1103/PhysRevLett.130.140402. [DOI] [PubMed] [Google Scholar]
  • 76.Kranzl F., Lasek A., Joshi M.K., Kalev A., Blatt R., Roos C.F., Yunger Halpern N. Experimental Observation of Thermalization with Noncommuting Charges. PRX Quantum. 2023;4:020318. doi: 10.1103/PRXQuantum.4.020318. [DOI] [Google Scholar]
  • 77.Majidy S., Braasch W.F., Lasek A., Yunger Halpern N., Guryanova Y., Faist P., Braak D., Oppenheim J. Noncommuting Conserved Charges in Quantum Thermodynamics and Beyond. Nat. Rev. Phys. 2023;5:689–698. doi: 10.1038/s42254-023-00641-9. [DOI] [Google Scholar]

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