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Scientific Reports logoLink to Scientific Reports
. 2017 Apr 28;7:1257. doi: 10.1038/s41598-017-01401-3

Families of stable solitons and excitations in the PT-symmetric nonlinear Schrödinger equations with position-dependent effective masses

Yong Chen 1,2, Zhenya Yan 1,2,, Dumitru Mihalache 3, Boris A Malomed 4,5
PMCID: PMC5430832  PMID: 28455499

Abstract

Since the parity-time-(PT-) symmetric quantum mechanics was put forward, fundamental properties of some linear and nonlinear models with PT-symmetric potentials have been investigated. However, previous studies of PT-symmetric waves were limited to constant diffraction coefficients in the ambient medium. Here we address effects of variable diffraction coefficient on the beam dynamics in nonlinear media with generalized PT-symmetric Scarf-II potentials. The broken linear PT symmetry phase may enjoy a restoration with the growing diffraction parameter. Continuous families of one- and two-dimensional solitons are found to be stable. Particularly, some stable solitons are analytically found. The existence range and propagation dynamics of the solitons are identified. Transformation of the solitons by means of adiabatically varying parameters, and collisions between solitons are studied too. We also explore the evolution of constant-intensity waves in a model combining the variable diffraction coefficient and complex potentials with globally balanced gain and loss, which are more general than PT-symmetric ones, but feature similar properties. Our results may suggest new experiments for PT-symmetric nonlinear waves in nonlinear nonuniform optical media.

Introduction

The Hamiltonians in the quantum mechanics are usually required to be Hermitian, which secures the corresponding spectra to be real1. Nevertheless, it had been demonstrated by Bender and Boettcher in 1998 that non-Hermitian Hamiltonians obeying the parity-time (PT) symmetry may also produce entirely real spectra28. The PT symmetry implies that the real and imaginary parts of the complex-valued potential, U(x)=V(x)+iW(x), are, respectively, even and odd functions of the coordinate2: V(x) = V(−x), W(−x) = −W(x). For a given real part of the potential, the spectrum of most PT-symmetric systems remains real, as long as the amplitude of the imaginary component of the potential is kept below a certain critical value (the PT-symmetry-breaking threshold); nevertheless, dynamical models featuring unbreakable PT symmetry are known too9. Pioneering theoretical works had predicted a possibility to realize the PT-symmetric wave propagation in optical media with symmetrically placed gain and loss elements1014, which was followed by the experimental implementation in optical and atomic settings, including synthetic photonic lattices, metamaterials, microring lasers, whispering-gallery microcavities, and optically induced atomic lattices1522. In particular, phase transitions between regions of the unbroken and broken PT symmetry have been observed in many experiments.

On the theoretical side, the consideration of PT-symmetric potentials in both one- and multi-dimensional linear and nonlinear Schrödinger (NLS) or Gross-Pitaevskii (GP) equations has revealed many remarkable PT-symmetry-breaking phenomena, including several models that give rise to PT-symmetric solitons2352. It is commonly known that the soliton theory has been widely applied to fluid mechanics, plasma physics, Bose-Einstein condensates (BECs), nonlinear optics, and many other fields. In particular, optical solitons can utilize the nonlinearity in optical fibers to balance the group-velocity dispersion, thus stably propagating in long-scale telecommunication links. More recently, stable PT-symmetric solitons were also investigated in the third-order NLS equation53, the generalized GP equation with a variable group-velocity coefficient54, and the derivative NLS equation55. The vast work performed in the field of nonlinear waves in PT-symmetric systems has been summarized in two recent comprehensive reviews56, 57.

As mentioned above2, the usual one-dimensional (1D) PT-symmetric Hamiltonian is =x2+V(x)+iW(x), with V(−x) = V(x) and W(−x) = −W(x). However, physics of semiconductors gives rise to a Hamiltonian in which the effective mass of collective excitations58, M(x), may be variable (position-dependent)5966: M=122x(1M(x)x)+V(x).

To the best of our knowledge, Hamiltonians combining a variable effective mass and complex-valued PT-symmetric potentials, in particular, M(PT)=122x(1M(x)x)+V(x)+iW(x), have not been studied yet. In fact, this model represents more general settings than the above-mentioned one occurring in semiconductors. Indeed, the effective mass for collective excitations propagating in lattice media is determined by local properties of the underlying lattice67, 68, which may be nonuniform in many situations, thus making the effective mass position-dependent. In the context of optics, essentially the same Hamiltonian governs the light propagation in the spatial domain, where the effective diffraction coefficient, 1/M, can be also made x-dependent in nonuniform photonic lattices69, 70.

The goal of the present work is to introduce 1D and 2D NLS models with such Hamiltonians, incorporating a particular physically relevant PT-symmetric potential, namely, a generalized Scarf-II potentials (i.e., a hyperbolic version of the quantum-mechanical potential introduced by Scarf 71). We reveal characteristic properties of both 1D and 2D linear and nonlinear modes in such models, including solitons in the case of cubic nonlinearity, which are quite generic and can be extended to other physically relevant complex-valued PT-symmetric potentials.

Results

1D PT-symmetric nonlinear waves in the effective diffraction

In Kerr-type nonlinear media with the complex-valued PT-symmetric potential and the effective diffraction coefficient defined by the position-dependent mass, m(x)1/M(x) (in particular, it represents the above-mentioned variable diffraction coefficient in optics), the scaled 1D modified NLS equation for the wave function ψ(x,z) is

iψz=[x(m(x)x)+V(x)+iW(x)g|ψ|2]ψ, 1

where z is the propagation distance, x is the transverse coordinate, and g is the strength of the Kerr nonlinearity. Replacing z by time t, Eq. (1) may be used as the GP equation for the BEC wave function, with the effective mass affected by a nonuniform optical lattice72. In the spatial-domain optics, real potential V(x) represents the local modification of the refractive index, whereas W(x) stands for the transverse symmetric distribution of the optical gain (W > 0) and loss (W < 0). Under the conditions that V(x) + iW(x) is a PT-symmetric potential and m(x) is an even function of x, it is easy to see that Eq. (1) is invariant under the action of PT-symmetric transformation, where the spatial-reflection operator P and time-reversal operator T are defined as usual2, P:xx;T:ii,zz. Equation (1) may be rewritten in the variational form, iψz=δH(ψ)/(δψ), with a non-Hermitian but PT-symmetric field Hamiltonian, (ψ)=+{m(x)|ψx|2+[V(x)+iW(x)]|ψ|2g2|ψ|4}dx, where the asterisk denotes the complex conjugate. Further, the power (norm) of the wave function, P(z)=+|ψ(x,z)|2dx, evolves according to equation dP/dz=2+W(x)|ψ|2dx, which can be immediately deduced from Eq. (1).

Linear spectra of unbroken and broken PT-symmetric phases

We now introduce the diffraction coefficient with a localized spatial modulation,

m(x)=mα(x)=m0sechαx+1, 2

and a physically relevant PT-symmetric ingredient of the model in the form of a generalized Scarf-II potential

Vα(x)=V1sech2x+V2sechαx, 3
Wα(x)=(tanhx)(sechx)[W1+W2sechαx], 4

where m 0 > −1 and α > 0 are both real constants, V1=14(4θ02+α2+6α+8), V2=m04(3α2+8α+4), W1=θ0(α+3), and W2=m0θ0(2α+3). Here m 0 and θ 0 account for the modulation of the local diffraction coefficient m α, even real potential V α, and odd gain-loss distribution W α, respectively. For m 0 = 0, Eq. (2) yields a constant diffraction coefficient, m = 1, hence Eq. (1) reduces to the usual NLS equation. The corresponding complex-valued potential (3) and (4) becomes the usual Scarf-II potential: U(x)=V1sech2x+iW1sechxtanhx 73, where the corresponding Hamiltonian H(x)=x2+U(x) may have two branches of energy eigenvalues and interpreted as the so-called quasi-parity74. Moreover, the Hamiltonian H(x) can be shown to exhibit the spontaneous PT-symmetry breaking when the strength of the imaginary part, |W1|, exceeds a threshold V1+1/4 75. Below, we use the complex potential with m 0 > 0 and α > 0, which may be viewed as a generalization of the basic Scarf-II potential.

First, we consider linear spectra of phases with unbroken and broken PT symmetries in the framework of the linear spectral problem with PT-symmetric operator Lˆ that includes variable diffraction coefficient (2) and PT-symmetric potential (3) and (4). The problem is based on the equation for localized eigenfunctions Φ(x) and respective eigenvalues λ,

LˆΦ(x)=λΦ(x),Lˆddx(m(x)ddx)+V(x)+iW(x). 5

In the limit of m 0 = 0 in Eq. (2), Lˆ amounts to the standard Hamiltonian operator with the usual PT-symmetric Scarf-II potential, which has been studied in detail by means of analytical and numerical methods54, 75. For m 0 > 0, we focus on natural values of powers in Eq. (2), α = 1, 2, and 3. By means of the available numerical Fourier spectral algorithm76, 77, we find symmetry-breaking boundaries in the (m 0, θ 0) parameter plane, below and above which the PT symmetry is unbroken and broken, respectively, as shown in Figs. 1(a1,b1,c1)). It is seen that, for fixed m 0, there always exists a critical values of θ 0, beyond which the symmetry-breaking phase transition makes the spectra complex-valued. On the other hand, for given θ 0, the phase transition may occur more than once with the increase of m 0, featuring transitions of the energy spectra first from real to complex, then back to real (restoration of the PT symmetry), and finally again from real to complex values. This scenario is drastically different from what is known in the case of the usual Hamiltonian with the PT-symmetric Scarf-II potential75. To illustrate these findings, a few lowest energy levels are displayed in Figs. 1(a2,b2,c2) (real parts) and Figs. 1(a3,b3,c3) (imaginary parts).

Figure 1.

Figure 1

Linear spectrum in PT-symmetric potentials. (a1,b1,c1) The PT-symmetry of states produced by linear eigenvalue problem (5), with the position-dependent diffraction coefficient (2) and generalized PT-symmetric Scarf-II potentials (3) and (4), is unbroken/broken in the domains below/above the solid blue curves. The results are displayed for α = 1, 2, 3, respectively. (a2,b2,c2) Real and (a3,b3,c3) imaginary parts of first several eigenvalues λ as a function of m 0 for θ 0 = 0.6, 1, 0.7, respectively. The insets in (b2) and (b3,c3) show, severally, the separation and coalescence of the real and imaginary parts of the second and third energy eigenvalues.

Nonlinear localized modes and their instability

For the given spatial profile of the diffraction coefficient (2) and the generalized PT-symmetric Scarf-II potential (3) and (4), it is possible to find analytically particular exact solutions for stationary nonlinear localized modes (bright solitons) of Eq. (1) for g > 0 in Eq. (1), i.e., the self-focusing sign of the cubic nonlinearity (see Methods):

ψ(x,z)=ρsechα+22xexp[iθ0tan1(sinhx)+iμz], 6

where ρ=m0(4θ02+3α2+10α+8)/(4g), and the propagation constant is μ=(α2+1)2. Without loss of generality, we display subsequent results for the normalization defined by g = 1.

The integral power of the nonlinear localized modes (6) is P=+|ψ(x,z)|2dx=ρ2+sechα+2xdx, which is 12πρ2, 43ρ2, 38πρ2 for α = 1, 2, 3, respectively. It is also relevant to examine the transverse power flow of these modes (alias the Poynting vector), S(x)=(i/2)(φφxφφx)=ρ2θ0sechα+3(x), whose sign is solely determined by θ 0 for any α > 0. It is clearly seen from Eq. (4) that the signs of gain-loss distribution W α are also determined by the single parameter θ 0, for m 0 ≥ 0 and α > 0. Thus we conclude that the power always flows from the gain region to one carrying the loss, regardless of the sign of θ 0.

For different powers α = 1, 2, 3, we aim to study the linear stability of exact nonlinear modes (6) by numerically calculating the largest absolute value of imaginary parts of the linearization eigenvalue δ from Eq. (23), see below, in the modulation-parameter plane (m 0, θ 0). Figures 2(A–C) exhibit the so found stability (blue) and instability (other colors) regions of the localized modes (6) for α = 1, 2, 3, respectively. For these three cases, we, respectively, choose three stable points (i.e., ones with the unbroken PT symmetry): (m0,θ0)=(0.5,0.1),(0.4,0.1),(0.2,0.1), to display the corresponding PT-symmetric potentials in Figs. 2(a–c). The single-well potential becomes deeper, whereas the amplitude of the gain-and-loss distribution slowly decreases, as α increases and m 0 decreases. For these three cases, we show exact solitonic solutions (6) and their numerically found counterparts in Figs. 2(a1,b1,c1), to corroborate that they are mutually identical. For other values of propagation constant −μ, exact analytical solutions are not available, but we can use the numerical method (validated by the comparison with the exact solutions) to produce fundamental solitons. It follows from Figs. 2(a2,b2,c2) that the solitons’ powers are monotonously increasing functions of μ. While existence ranges of the numerically found solitons have nearly the same upper cutoff μup19.8, the lower cutoffs are different: μ1low=0.6, μ2low=1.48, μ3low=4.11, respectively, with a trend to growth. In the existence range of the numerically found solitons, the dependence of the corresponding linear-stability eigenvalues (the largest absolute value of the imaginary part of the perturbation growth rate δ) on the propagation constant −μ is shown in Figs. 2(a3,b3,c3). It is seen that the numerically found soliton solutions in Figs. 2(a1,b1,c1), corresponding to μ = 2.25, 4, 6.25, respectively, are completely stable, in accordance with the stability of the corresponding exact nonlinear modes (see Figs. 2(A–C)).

Figure 2.

Figure 2

Stability of exact nonlinear modes (6). (AC) The linear-stability map, as obtained from the numerical solution of Eq. (23), in the (m0,θ0) plane for α=1,2,3, respectively. The stability is determined by the largest absolute value of imaginary parts of the linearization eigenvalue δ, which are displayed by means of the color bar on a common logarithmic scale, log[|(Im(δ)|)]. (ac) The real and imaginary parts of the PT-symmetric complex potentials determined by Eqs. (3) and (4) for (α, m 0, θ 0) = (1, 0.5, 0.1), (2, 0.4, 0.1), (3, 0.2, 0.1), respectively. For α = 1, 2, 3, which correspond to (a1,b1,c1), respectively, the real parts, imaginary parts, and intensity profiles are displayed, as obtained from the exact solutions, φe, and their numerically found counterparts (fundamental solitons), φn, for μ = 9/4, 4, 25/4, respectively. (a2,b2,c2) Power P versus the frequency, −μ. (a3,b3,c3) Linear-stability spectra of numerically found fundamental solitons versus μ. (a4,b4,c4) The stable evolution of the solitons (no matter exact or numerical ones, the evolution being identical) from (a1,b1,c1). (a5,b5,c5) Unstable evolution of the numerically found solitons at μ=10,μ=5,μ=10.5, respectively. The insets in (a2,b2,c2) indicate power curves near the lower cutoff points of μ. Note that t-axes should be z-axes in (a4,a5,b4,b5,c4,c5).

To validate the linear-stability results, we have simulated the propagation, by taking the input provided by the stationary modes in Figs. 2(a1,b1,c1) with the addition of 2% random perturbations, as is shown in Figs. 2(a4,b4,c4), respectively. In practice, we simulate the beam propagation with the initial input ψ(x,z=0)=φ(x)(1+ϵ), where φ(x) is a nonlinear mode, and ϵ is a complex broadband random perturbation. In MATLAB, the 2% white noise ϵ can be realized by utilizing a random matrix such as ϵ=0.04(rand(N,1)0.5)(1+i)/2, where rand(N, 1) is an Nby–1 array of pseudorandom uniform values on the open interval (0, 1) (similarly in other cases, even for the 2D situation). Finally, based on the linear stability results presented in Figs. 2(a3,b3,c3), we choose solutions that are predicted to be unstable (with μ = 10, 5, 10.5), to test the dynamical behavior of the corresponding numerically found soliton solutions. It is found that they are indeed (weakly) unstable, see Figs. 2(a5,b5,c5).

Further, following the results of the linear-stability analysis shown in Figs. 2(A–C), we have tested the propagation dynamics of the exact nonlinear modes (6), varying the parameter m 0 or θ 0 in Eqs. (2)–(4). For the brevity’s sake, hereafter we use the words “unbroken” and “broken” to mention if the corresponding linear modes, considered above, do or do not keep their PT symmetry. For fixed α = 1 and m 0 = 0.5, as θ 0 increases continuously from 0.1 to 0.3 (unbroken), nonlinear modes (6) always feature stable propagation dynamics, as shown in Fig. 3(a1). However, as θ 0 increases to slightly larger values, e.g., 0.32 (unbroken), instability sets in, see Fig. 3(a2). Moreover, we have found that a stable nonlinear localized mode (6) with (m 0, θ 0) = (0.75, 0.1) belongs to the region of broken linear PT-symmetry (see Fig. 3(a3)), with the real part of the corresponding complex potential having a single-well shape, see Fig. 3(a4). The latter result implies that the exact PT-symmetric nonlinear modes may be stable while their linear counterparts are not.

Figure 3.

Figure 3

Propagation dynamics of exact nonlinear localized modes (6). (a1) m0=0.5,θ0=0.3, unbroken; (a2) m0=0.5,θ0=0.32, unbroken; (a3) m0=0.75,θ0=0.1, broken; (b1) m0=0.4,θ0=0.5, unbroken; (b2) m0=0.4,θ0=0.55, broken; (b3) m0=0.8,θ0=0.3, broken; (c1) m0=0.2,θ0=0.36, unbroken; (c2) m0=0.54,θ0=0.1, unbroken; (c3) m0=0.54,θ0=0.36, broken. (a4,b4,c4) Real and imaginary parts of the PT-symmetric potential corresponding to cases (a3,b3,c3), respectively. Other parameters are, severally, α = 1, 2, and 3, for the first, second, and third columns. Note that t-axes should be z-axes in (a1,b1,c1,a2,b2,c2,a3,b3,c3).

For fixed α = 2 and m 0 = 0.4, as θ 0 grows continuously from 0.1 to 0.5 (unbroken) and further to 0.55 (broken), similar results occur, see Figs. 3(b1,b2). Here too, we find a stable nonlinear localized mode, while the PT symmetry of its linear counterpart is broken, for parameters (m 0, θ 0) = (0.8, 0.3), see Fig. 3(b3), even if the real part of the corresponding complex potential is a weak barrier (rather than a well), whose amplitude is smaller than that of the corresponding gain-loss distribution, see Fig. 3(b4). For θ 0 = 0.1, we increased m 0 continuously from 0.4 to 0.6 (unbroken), so that a continuous family of stable solitons could also be readily found.

For α = 3, when we fix m 0 = 0.2 and increase θ 0 continuously from 0.1 to 0.36 (unbroken), similar results still hold, see Fig. 3(c1). On the other hand, when, for θ 0 = 0.1, m 0 increases to 0.54, the nonlinear localized mode may be unstable, as in Fig. 3(c2), even if the PT symmetry of the linear state remains unbroken. Most interesting, if we increase θ 0 to 0.36 in the same case, the nonlinear localized mode restabilizes itself, while the PT symmetry of the linear state gets broken, see Fig. 3(c3). Another interesting feature is that the real part of the corresponding complex potential may now exhibit a double-well shape, as shown in Fig. 3(c4).

Interactions between exact bright solitons and sech pulses

To additionally test the robustness of the exact bright solitons (6), we simulated their collisions with boosted (moving) sech-shaped solitary pulses. For α = 1, 2, 3, we respectively choose (m0,θ0)=(0.5,0.1),(0.4,0.1),(0.2,0.1) with the unbroken PT symmetry of the linear state and consider initial conditions ψα(x,0)=φα(x)+sech(x+20)e1.8ix with φα(x) given by Eq. (6), and e 1.8ix imposing the boost onto the sech pulse with the unitary amplitude and initial position at x = −20. Direct simulations demonstrate that the exact nonlinear modes φα(x) propagate steadily without any change of shape and velocity after the collision, see Figs. 4(a,c,e). In other simulations, we chose values (m0,θ0)=(0.75,0.1),(0.8,0.3),(0.54,0.36), which correspond to the linear modes with broken PT symmetry, and took the corresponding initial conditions as ψ1(x,0)=φ1(x)+sech(x+40)e2.2ix with φ1(x) given by Eq. (6) for α = 1, as well as ψ2,3(x,0)=φ2,3(x)+sech(x+40)e4ix, with φ2,3(x) given by Eq. (6) for α = 2, 3. In the case of α = 1, the exact soliton still demonstrates the steady propagation after the collision, while in the cases of α = 2, 3 the amplitude of the initial exact soliton rapidly grows after the collision, thus manifesting interaction-induced instability.

Figure 4.

Figure 4

Collisions between exact bright solitons and boosted sech-shaped solitary pulses, produced by simulations of Eq. (1). (a) α=1,m0=0.5,θ0=0.1 (unbroken), with the input composed of the exact soliton (6) and the solitary pulse sech(x+20)e1.8ix, (b) α=1,m0=0.75,θ0=0.1 (broken), with the initial solitary pulse sech(x+40)e2.2ix; (c) α=2,m0=0.4,θ0=0.1 (unbroken), with the initial solitary pulse sech(x+20)e1.8ix, (d) α=2,m0=0.8,θ0=0.3 (broken), with the initial solitary pulse sech(x+40)e4ix; (e) α=3,m0=0.2,θ0=0.1 (unbroken), with the initial solitary pulse sech(x+20)e1.8ix, (f) α=3,m0=0.54,θ0=0.36 (broken), with the initial solitary pulse sech(x+40)e4ix. Other parameters are α=1,2,3 for the first, second, and third row, respectively. Note that t-axes should be z-axes.

Adiabatic transformation of stable nonlinear modes

Here, we elaborate three different scenario of dynamical control of nonlinear localized modes, making use of adiabatically varying parameters of the potential38, 5355, m 0 → m 0(z) or θ 0 → θ 0(z). We choose the following temporal-modulation pattern:

{m0,θ0}(z)={({m02,θ02}{m01,θ01})sin(πz/2000)+{m01,θ01},0z<1000,{m02,θ02},z1000. 7

This implies replacing Eq. (1) by

iψz=[xm(x,z)x+V(x,z)+iW(x,z)g|ψ|2]ψ, 8

where m(x,z),V(x,z),W(x,z) are given by Eqs. (2), (3) and (4) respectively, with m 0 → m 0(z) and θ 0 → θ 0(z).

For the cases of α = 1, 2, 3, Figs. 5(a1,b1,c1), respectively, exhibit stable switch of the nonlinear localized modes ψ(x,z) governed by Eq. (8), starting from the initial condition given by Eq. (6). In these figures, we demonstrate the transformation of initially stable nonlinear localized modes for (m01,θ01)=(0.5,0.1),(m01,θ01)=(0.4,0.1),(m01,θ01)=(0.2,0.1), with α = 1, 2, 3, to ones corresponding, respectively, to (m02,θ02)=(0.5,0.3),(m02,θ02)=(0.4,0.5),(m02,θ02)=(0.2,0.36), i.e., m 0 is fixed, while θ 0 varies. In these cases, both the initial and final parameter values correspond to linear modes with unbroken PT symmetry. Likewise, fixing θ 0 and setting m 0 → m 0(z) as per by Eq. (7), we can perform similar transformations of stable exact nonlinear localized modes, as is shown in Figs. 5(a2,b2,c2). Figure 5(b2) displays a typical stable transformation of the nonlinear modes (6) with α = 2, also ending with parameters corresponding to the linear state with unbroken PT symmetry.

Figure 5.

Figure 5

The transformation of initially stable nonlinear modes, produced by simulations of Eq. (8). (a1) m01=0.5,θ01=0.1,θ02=0.3, (a2) m01=0.5,m02=0.75,θ01=0.1, (a3) m01=0.5,m02=0.75,θ01=0.1,θ02=0.3; (b1) m01=0.4,θ01=0.1,θ02=0.5, (b2) m01=0.4,m02=0.6,θ01=0.1, (b3) m01=0.4,m02=0.6,θ01=0.1,θ02=0.5; (c1) m01=0.2,θ01=0.1,θ02=0.36, (c2) m01=0.2,m02=0.54,θ02=0.36, (c3) m01=0.2,m02=0.54,θ01=0.1,θ02=0.36. Cases (a1,b1,b2,c1) exhibit the stable transformation between parameter sets correspond to stable linear states with unbroken PT symmetry. (c2,c3) Stable transformation between parameter sets corresponding to unbroken and broken PT-symmetry of the linear states. (a2,a3,b3) Unstable transformation of the initially stable nonlinear mode between parameter sets corresponding to unbroken and broken PT-symmetry of the linear states. Other parameters are α=1,2,3 for the first, second, and third rows, respectively. Note that t-axes should be z-axes.

On the other hand, Fig. 5(a2) reveals unstable transformation of the nonlinear modes (6) with α = 1, and Fig. 5(c2) exhibits stable transformation of the nonlinear modes (6) with α = 3, both from initial parameters corresponding to the linear state with unbroken PT symmetry to final ones corresponding to broken PT symmetry in the linear state. Finally, the transformation is also implemented by varying both m 0 and θ 0. Instability of such simultaneous transformation, observed in Fig. 5(a3) may be attributed to the instability of the corresponding single-parameter variation, shown above in Fig. 5(a2). Further, Fig. 5(b3) reveals that the simultaneous variation of m 0 and θ 0 may give rise to an unstable output, while both corresponding the single-component variations are stable, see Figs. 5(b1,b2). Nevertheless, in Fig. 5(c3) we stably transform an initially exact nonlinear mode, with unbroken PT symmetry of the respective linear state, to another exact nonlinear mode, which corresponds to the broken PT symmetry in the linear state, varying both parameters. The stable outcome of the simultaneous variation of m 0 and θ 0 may be possible if the separate variation of each parameter produced a stable output.

Thus, we conclude that the simultaneous variation of the two parameters leads to an unstable output if either of the two corresponding separate variations is unstable, see Figs. 5(a1–a3). If both separate excitations produce stable outputs, their simultaneous action may give either an unstable output, see Figs. 5(b1–b3), or a stable one, see Figs. 5(c1–c3).

1D constant-intensity waves

Recently, a class of complex potentials that are more general than the PT-symmetric complex-valued ones has been put forward39, 7880. Similar to the PT-symmetric potentials, these more general complex potentials admit the existence of continuous families of stationary states, supported by the balance between gain and loss (unlike isolated stationary solutions found in generic dissipative systems), a part of which may be stable39, 7880. The real and imaginary parts of these potentials are defined81 V(x) = −v 2(x), W(x) = dv(x)/dx, where v(x) is an arbitrary real function. Here, we address a generalization of such potentials in the model with the variable diffraction coefficient, m(x), in the form of

V(x)=m(x)v2(x),W(x)=d(m(x)v(x))dx, 9

where v(x) is a known real function of space. If m(x) (e.g., that defined in Eq. (2)) and v(x) are both even functions, then the complex potential given by Eq. (9) is a PT-symmetric one. In a more general case, when the potential is not PT-symmetric, it nevertheless provides for the global balance between the gain and loss, in the case of localized or periodic functions m(x)v(x), because W(x) is defined in Eq. (9) as a full derivative.

For the general potential taken as per Eq. (9), stationary constant-intensity (alias CW, i.e., continuous-wave) solutions of Eq. (1) with any g are found in the form of (see Methods)

ψ(x,z)=Cexp[i0xv(s)ds+igC2z]. 10

where C is a real constant amplitude. The power flow (the Poynting vector) corresponding to the CW solution (10) is S(x)=C2v(x). To examine dynamical properties of the CW solution (10), we consider three different types of the complex potentials (9), in which the diffraction coefficient m(x) is chosen as in Eq. (2), and v(x) is taken as an Hermite-Gauss (HG) function, Hn(x)eωx2/2 (H n(x) is the Hermite polynomial, and ω>0 is a frequency), or as a simple periodic one, v 0 cos(x). Generic examples of this class of complex potentials correspond to m(x)=0.5sech(x)+1, with v(x)=H2(x)ex2/2 (a PT-symmetric HG form), or v(x)=H3(x)ex2/2 (a non-PT-symmetric HG form), or, finally, v(x)=cos(x) (a PT-symmetric periodic form). The profiles and gain-loss regions of these three complex potentials are displayed in Figs. 6a, 7(a) and 8(a), respectively. In the linear limit (g = 0) in these three cases, if the CW inputs are taken merely as ψ(x,0)=C, without the correct phase given by Eq. (10), the beams grow fast in the center, leading to instability, as shown in Figs. 6(b), 7(b) and 8(b). However, if the inputs are taken as solution (10) with the correct phase, the growth of perturbations is initially suppressed, occurring later as the modulational instability of the CW (Figs. 6(c), 7(c) and 8(c)). It is worthy to note that the beam in the PT-symmetric system with the HG complex potential steadily propagates farther than that in the case of the non-PT HG complex potential, as the PT-symmetric potential naturally provides for a better balance of the gain and loss. When the truncation length of the input CW becomes larger, the stable-propagation distance increases too under the action of the PT-symmetric HG potential (see Fig. 6(d)), but it does not increase in the case of the non-PT-symmetric HG potential (see Fig. 7(d)).

Figure 6.

Figure 6

Constant-intensity waves in linear and nonlinear PT-symmetric systems with the complex potential of Hermite-Gauss (HG) type. (a) Real (solid blue) and imaginary (dashed red) parts of the complex potential V(x)+iW(x) given by Eq. (9) hereafter, magenta- and cyan-filled areas designate the presence of the gain and loss, respectively. (b) The evolution of the constant-amplitude wave without the correctly introduced initial phase at z = 0 in the linear setting (g = 0). Spatial diffraction of (c) narrow and (d) wide truncated constant-intensity waves. The evolution of the constant-amplitude wave with the correct phase at z = 0 under (e) the self-focusing (g = 1) nonlinearity and (f) the self-defocusing (g = −1) nonlinearity.

Figure 7.

Figure 7

Constant-intensity waves in linear and nonlinear non-PT-symmetric systems with the complex potential of HG type. The same as in Fig. 6, but for the non-PT -symmetric complex potential of the HG type, see the text.

Figure 8.

Figure 8

Constant-intensity waves in linear and nonlinear PT-symmetric systems with the complex potential of cos type. The same as in Figs. 6 and 7, but for the PT-symmetric complex potential of the cos type, see the text.

We have also investigated the nonlinear evolution of the CW input in the presence of the self-focusing and self-defocusing Kerr nonlinearity (g = +1 and −1, respectively) for the same three complex potentials. As a result, we find that the CW state maintains stable propagation over a smaller distance than that in the corresponding linear model, as can be seen in Figs. 6(e), 7(e) and 8(e) for the self-focusing nonlinearity, and in Figs. 6(f), 7(f) and 8(f) for the self-defocusing nonlinearity.

2D PT-symmetric nonlinear waves

Multidimensional spatial solitons are a subject of great interest to nonlinear optics8285. We here consider the formation of bright spatially localized solitons in the 2D PT-symmetric setting. In this case, the field evolution is governed by the 2D NLS equation with a PT-symmetric potential:

iψz={[m(x,y)]+V(x,y)+iW(x,y)g|ψ|2}ψ, 11

where is the 2D gradient (x,y), and m(x, y) is a 2 × 2 matrix function, which we take in the diagonal form, mα(x,y)=diag[mα(x),mα(y)] with m α(x) given by Eq. (2). We look for stationary 2D modes in the form of ψ=φ(x,y)eiμz with φ(x,y)=u(x,y)eiθ(x,y), where u(x, y) and θ(x, y) are real amplitude and phase, respectively, which satisfy stationary equations:

(mα(x)ux)x+(mα(y)uy)y[θx2mα(x)+θy2mα(y)]uV(x,y)uμu+gu3=0, 12
(mα(x)θxu2)x+(mα(y)θyu2)yW(x,y)u2=0. 13

The 2D PT-symmetric potentials V(x,y)+iW(x,y) (i.e., V(x, y) = V(−x, −y) and W(−x, −y) = −W(x, y)), which, like in the 1D setting, admit particular exact solutions for α = 1, 2, and 3, are given below in Eqs. (24a), (25a) and (26a), respectively, along with the exact solutions (see Methods).

In particular, similar to the previous 1D case, it is possible to find stationary constant-intensity (CW) solutions of Eq. (11)

ψ(x,y,z)=Beiθ(x,y)+igA2z,B=const 14

(cf. Eq. (10)) for a family of 2D complex potentials similar to their 1D counterparts (9):

V(x,y)=θ[(θ)m],W(x,y)=[(θ)m],

where θ(x, y) is an arbitrary real function. 2D CW solutions (14) will be considered in detail elsewhere.

Comparison of exact 2D solitons and numerical solutions

For α = 1, 2, 3, we first choose three parameter sets, (m0,θ0)=(0.5,0.1),(0.4,0.1),(0.2,0.1), with the corresponding 2D PT-symmetric complex potentials shown in Figs. 9(a,b), 10(a,b) and 11(a,b), respectively. The corresponding exact soliton solutions, given by Eqs. (24a), (25a) and (26a), with μ = 9/2, 8, and 25/2, are shown in the second row of Figs. 9, 10 and 11, respectively.

Figure 9.

Figure 9

2D PT-symmetric solitons for α = 1. (a) Real and (b) imaginary parts of the 2D PT-symmetric complex potentials given by Eq. (24a). (c) Comparison of real parts, imaginary parts, and intensity of exact soliton solution φe(x,0) and numerically found fundamental soliton φn(x,0) at μ = 9/2, cf. Fig. 2(a1) pertaining to the 1D setting. (d) The intensity, (e) amplitude, and (f) phase of the exact soliton. (g) The intensity, (h) real part, and (i) imaginary part of the numerically found fundamental soliton. Parameters are (m0,θ0)=(0.5,0.1).

Figure 10.

Figure 10

2D PT-symmetric nonlinear waves for α = 2. The same as in Fig. 9, but for α = 2, and μ = 8 in panel (c). Parameters are (m0,θ0)=(0.4,0.1).

Figure 11.

Figure 11

2D PT-symmetric nonlinear waves for α = 3. The same as in Fig. 9, but for α = 3, and μ = 25/2 in panel (c). Parameters are (m0,θ0)=(0.2,0.1).

To verify the analytical soliton solutions, we have numerically found the corresponding stationary fundamental solitons of Eq. (11), which are displayed in the third row of Figs. 9, 10 and 11, respectively. As is shown in Figs. 9(c), 10(c) and 11(c), the difference between the exact solutions and their numerical counterparts falls below 10−9, hence the exact solutions are correct.

Furthermore, using the numerical method, we calculate the integral power at other values of the soliton parameter μ and identify the existence ranges of the numerically found solitons, as shown in Fig. 12(a), where the lower cutoffs are μ13.4, μ26.3, μ311.1, and there are no finite upper cutoffs. These numerical soliton solutions are more often than not unstable, especially for larger values of μ. We display their linear-stability spectra in Figs. 12(b–d) around μ = 9/2, 8, and 25/2, respectively, i.e., around the values at which the corresponding exact nonlinear modes exist. As a result, we find that in first case, (α,m0,θ0)=(1,0.5,0.1), almost all the corresponding numerical and exact solitons are unstable; however, in the second and third cases, viz., (α,m0,θ0)=(2,0.4,0.1) and (3, 0.2, 0.1), there exist some stability regions, which are distributed around μ = 8 and 25/2. To confirm these linear-stability results, in what follows we investigate the dynamics by dint of direct numerical simulations.

Figure 12.

Figure 12

2D integral power P and linear stability versus the soliton’s propagation constant, −μ. (a) Power P versus μ. For the three different cases, (α,m0,θ0)=(1,0.5,0.1),(2,0.4,0.1),(3,0.2,0.1), there are no upper cutoffs of the existence domains for the solitons. The corresponding lower cutoffs are μ13.4,μ26.3,μ311.1, respectively. (bd) The linear-stability spectra of numerically found fundamental solitons versus μ, around the corresponding exact nonlinear modes at μ = 9/2, 8, 25/2, respectively. The insets in (bd) clearly show a portion of stability results when μ is located in lower and smaller intervals.

Dynamical behavior of 2D nonlinear modes

To display the evolution of the 2D exact or numerically found nonlinear modes, we plot the corresponding intensity isosurfaces. For α = 1, as shown in Figs. 13(a,d), instability is produced by simulations of the long-time evolution, although at shorter times, such as t = 200, the solution seems as a stable one, see Fig. 13(b). The instability sets in at t280 (Fig. 13(c)). However, for α = 2 and 3, both Figs. 13(e,g) exhibit fully robust evolution of the initial-state solitons taken from Figs. 10 and 11, respectively. To confirm their stability, we display the corresponding final-state soliton profiles in Figs. 13(f,h), which are identical to the corresponding initial profiles in Figs. 10 and 11.

Figure 13.

Figure 13

Stable and unstable evolution of 2D solitons. (a) The unstable evolution in terms of the intensity isosurfaces, corresponding to half the maximum initial intensity, of the 2D soliton from Fig. 9 (these and other results are virtually identical for exact solitons and their numerically found counterparts); (b) apparently stable and (c) intermediate states with emergent instability states; (d) the unstable final state. (e) The stable evolution of the soliton from Fig. 10, and (f) its final shape. (g) The stable evolution of the soliton from Fig. 11, and (h) its final shape. Note that t-axes should be z-axes in (a,e) and “t=” should be “z=” in (b,c,d,f,g,h).

We have also numerically investigated the stability of the solitons at the lowest-power points μ 1 = 3.4, μ 2 = 6.3, and μ 3 = 11.1 for α = 1, 2, and 3, respectively. They all turn out to be unstable, although they may seem stable at a shorter propagation distance. Figure 14 specifically exhibits their evolution and the corresponding intermediate and final states. These results indicate a somewhat surprising fact that the localized nonlinear mode with the lowest power is not necessarily stable. On the other hand systematic simulations demonstrate that the numerically found solitons are fully stable in the vicinity of the corresponding exact nonlinear modes, that is, near μ1=9/2,μ2=8,μ3=25/2 for α = 1, 2, 3. For this reason, the exact soliton solutions are especially important ones, as they help to spot stability areas for broad soliton families.

Figure 14.

Figure 14

Unstable evolution of 2D solitons. (a1,b1,c1) The unstable evolution of numerical found solitons corresponding to μ1=3.4,μ2=6.3,μ3=11.1 for α=1,2,3, respectively. (a2,b2,c2) The corresponding initial states; (a3,b3,c3) apparently stable intermediate states; (a4,b4,c4) becoming-unstable intermediate states; (a5,b5,c5) unstable final states. Note that t-axes should be z-axes in (a1,b1,c1) and “t=” should be “z=” in (a2,a3,a4,a5,b2,b3,b4,b5,c2,c3,c4,c5).

It is worthy to note that the dynamical-stability results are in good agreement with the predictions produced above by the linear-stability analysis (see Figs. 12(b–d)). Thus, the latter analysis, in the combination with systematic direct simulations, make it possible to identify soliton-stability regions in a reliable form.

Discussion

We have reported analytical and numerical results for new classes of 1D and 2D stable spatial solitons in cubic nonlinear media with the PT-symmetric generalized Scarf-II potentials and variable (position dependent) diffraction coefficients. First, in the linear version of the model, parameter regions of the unbroken and broken PT symmetry have been numerically delineated. Then, in the presence of the Kerr nonlinearity, particular exact solutions for nonlinear localized modes with real eigenvalues have been obtained in the analytical form, and verified numerically. These solitons are shown to be stable through the linear-stability analysis and by means of direct simulations, in wide ranges of the governing parameters. It is worthy to note that the addition of the Kerr nonlinearity can fix the broken PT symmetry of the linear system, transforming complex eigenvalues into real ones. In addition, stable bright solitons have been found in parameter regions where the PT symmetry of the linear states is broken, for various shapes of the underlying real part of the potential, such as single- and double-well forms. Finally, interactions and adiabatic transformations of the exact solitons have been studied in detail, and the existence range and propagation dynamics of numerically found solitons have been examined too. We also study the evolution of constant-intensity waves in a model combining the variable diffraction coefficient and complex potentials with globally balanced gain and loss, which are more general than PT-symmetric ones, but feature similar properties. These theoretical results suggest new experiments for PT-symmetric nonlinear waves in nonlinear and nonuniform optical media, and provide useful theoretical guidance for studies in related fields, such as BECs.

Methods

Nonlinear stationary modes

Stationary solution of Eq. (1) are looked for in the usual form, ψ(x,z)=φ(x)eiμz, where −μ is the propagation constant, and the localized complex wave function satisfies the following ordinary differential equation with the x-dependent diffraction coefficient:

[ddxm(x)ddxV(x)iW(x)+g|φ|2]φ=μφ. 15

We take the complex wave function as φ(x)=u(x)exp(i0xv(s)ds) with real amplitude u(x), and superfluid phase velocity given by

v(x)=1m(x)u2(x)0xW(s)u2(s)ds. 16

The amplitude satisfies the following second-order ordinary differential equation:

ddx[m(x)dudx]=[V(x)+m(x)v2(x)gu2+μ]u, 17

which may be transformed by setting u˜(x)m(x)ux into a system of coupled first-order equations:

du(x)dx=u˜(x)m(x), 18
du˜(x)dx=[V(x)+m(x)v2(x)gu2+μ]u, 19

solvable as a boundary-value problem by means of standard shooting methods60. To achieve a higher precision and computation speed, we actually used the spectral renormalization method86 with some necessary modifications. The method is spectrally efficient and relatively easy to implement not only in the 1D case but also in the higher-dimensional settings.

Implementation of the numerical solution

To construct 1D localized solutions, one first needs to develop a convergent iteration, to guarantee that the amplitude neither blows up nor decays to zero. This may be realized by setting φ(x)=λw(x), where λ is a constant to be determined. Using the Fourier transform and the modified spectral renormalization method86, we thus arrive as the following iteration scheme:

wˆ=1kx2+pF1+λ2kx2+pF2, 20

where F1={[mx1(ikxwˆ)(V+iW)wμw+pmw]/m}, F2=(g|w|2w/m), λ2=+[(kx2+p)|wˆ|2F1wˆ]dkx/+F2wˆdkx, denotes the 1D Fourier transform, and p is an appropriate positive constant (here p = 10 is taken for the 1D case). A Gaussian or sech can be taken as an input, which eventually leads to absolute errors <10−9, in both the convergence criterion and the numerically obtained solution satisfying Eq. (17). In general, one may restrict the number of iterations to <100; however, for the sake of high precision, we admitted up to 1000 iterative steps. Once the above-mentioned conditions for two absolute errors are satisfied simultaneously, the desired numerical soliton is obtained as φ(x)=λ1[wˆ(x)].

In the 2D case, we needed to accordingly change F 1 in Eq. (20), although the iteration scheme ran similar to its counterpart in the 1D case:

wˆ=1kx2+ky2+pF1+λ2kx2+ky2+pF2, 21

where F1={[m(x)1]1(kx2wˆ)+[m(y)1]1(ky2wˆ)+mx(x)1(ikxwˆ) +my(y)1(ikywˆ) (V+iW)wμw+pw}, denotes, the 2D Fourier transformation, and p is an appropriate positive constant (here p = 100 is taken for the 2D case). Other settings and procedures are similar to those in the 1D case.

The linear-stability analysis

For the given position-dependent function m(x) and complex-valued PT-symmetric potential V(x) + iW(x), one may solve Eq. (17) (or equivalently, Eqs. (18) and (19)), to obtain stationary soliton solutions φ(x), by analytical or the above-mentioned methods. Then localized nonlinear modes of Eq. (1) can be found in the stationary form, as ψ(x,z)=φ(x)eiμz. To explore the linear stability of the localized modes in the 1D case, we consider a perturbed solution87, 88,

ψ(x,z)={φ(x)+ϵ[F(x)eiδz+G(x)eiδz]}eiμz, 22

where ϵ is an infinitesimal perturbation amplitude, F(x) and G(x) are the eigenfunctions of the linearized problem, and −δ is the respective eigenfrequency, the instability taking place if some eigenvalues are not purely real. Inserting the perturbed solution (22) into Eq. (1) and linearizing with respect to ϵ, we obtain the following eigenvalue problem:

(Lˆ1gφ2gφ2Lˆ1)(F(x)G(x))=δ(F(x)G(x)), 23

where Lˆ1x(m(x)x)[V(x)+iW(x)]+2g|ϕ|2μ. The PT-symmetric nonlinear modes are linearly stable provided that δ has no imaginary part, otherwise they are linearly unstable. The whole stability spectrum δ can be numerically calculated by the Fourier collocation method (see ref. 88).

For the 2D case (11), the operator Lˆ1 in Eq. (23) is changed into Lˆ1=x[m(x)x]+y[m(y)y][V(x,y)+iW(x,y)]+2g|φ|2μ. Other technical details are similar to those in the 1D case. As concerns the numerical computation of the full stability spectrum in the 2D case, the Fourier-collocation method is usually of low precision for a small number of Fourier modes. If one increases the number of the modes for a higher accuracy, the necessary size of the dense matrix corresponding to the eigenvalue problem may become prohibitively large88. Therefore the full 2D linear-stability spectrum in the (m 0, θ 0) space is not displayed any more, because of the necessary large space size and number of Fourier modes. But we will roughly depict the 2D linear-stability spectrum with respect to the soliton parameter μ (see Figs. 12(b–d)), in contrast to the dynamical stability of long-time wave propagation. By the way, on the account of the same reason that large spatial domains and number of the Fourier modes are necessary for a high accuracy in the 2D case, the corresponding PT-symmetric linear spectra are not exhibited further. Nevertheless, through repeated numerical tests, we find that it is instructive that the PT-symmetric breaking curves in the 1D case can provide powerful reference for those in the 2D case.

2D nonlinear modes for the PT-symmetric potentials with different parameters α

The 2D PT-symmetric potentials and exact solutions of Eqs. (12) and (13), which they admit, are listed as follows:

Case 1 (α = 1):

m1(x,y)=diag(m0sechx+1,m0sechy+1),V1(x,y)=14σ=x,y[15m0sechσ(4θ02+15)sech2σm0(4θ02+21)×sech3σ]+m0(θ02+214)(sechxsechy)3,W1(x,y)=θ0σ=x,ysechσtanhσ(5m0sechσ+4),φ1(x,y)=m0(4θ02+21)/(4g)(sechxsechy)3/2×exp{iθ0[tan1(sinhx)+tan1(sinhy)]}, 24a

where μ = 9/2.

Case 2 (α = 2):

m2(x,y)=diag(m0sech2x+1,m0sech2y+1),V2(x,y)=σ=x,y[(8m0θ026)sech2σm0(θ02+10)sech4σ]+m0(θ02+10)(sechxsechy)4,W2(x,y)=θ0σ=x,ysechσtanhσ(7m0sech2σ+5),φ2(x,y)=m0(θ02+10)/g(sechxsechy)2exp[iθ0σ=x,ytan1(sinhσ)], 25a

where μ = 8.

Case 3 (α = 3):

m3(x,y)=diag(m0sech3x+1,m0sech3y+1),V3(x,y)=14σ=x,y[(4θ02+35)sech2σ55m0sech3σ+m0(4θ02+65)sech5σ]+m04(4θ02+65)(sechxsechy)5,W3(x,y)=3θ0σ=x,ysechσtanhσ(3m0sech3σ+2),φ3(x,y)=m0(4θ02+65)/(4g)(sechxsechy)5/2×exp{iθ0[tan1(sinhx)+tan1(sinhy)]}, 26a

where μ = 25/2.

Acknowledgements

The authors thank the three referees for their valuable comments and suggestions. This work of Z.Y. and Y.C. was partially supported by the NSFC (Grant Nos. 11571346 and 61621003) and the Youth Innovation Promotion Association CAS. The work of B.A.M. is supported, in part, by grant No. 2015616 from the joint program in physics between NSF and Binational (US-Israel) Science Foundation.

Author Contributions

Z.Y. and Y.C. conceived the idea and presented the overall theoretical analysis. Y.C. and Z.Y. discussed and performed the numerical calculations. Y.C., Z.Y., D.M. and B.A.M. contributed to writing the manuscript and discussing and interpreting the obtained results.

Competing Interests

The authors declare that they have no competing interests.

Footnotes

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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