Abstract
Domain decomposition based time integrators allow the usage of parallel and distributed hardware, making them well-suited for the temporal discretization of parabolic systems. In this study, a rigours convergence analysis is given for such integrators without assuming any restrictive regularity on the solutions or the domains. The analysis is conducted by first deriving a new variational framework for the domain decomposition, which is applicable to the two standard degenerate examples. That is, the p-Laplace and the porous medium type vector fields. Secondly, the decomposed vector fields are restricted to the underlying pivot space and the time integration of the parabolic problem can then be interpreted as an operators splitting applied to a dissipative evolution equation. The convergence results then follow by employing elements of the approximation theory for nonlinear semigroups.
Mathematics Subject Classification: 65M55, 65M12, 35K65, 65J08
Introduction
Nonlinear parabolic equations of the form
| 1 |
equipped with suitable boundary and initial conditions, are frequently encountered in applications. If the diffusion constant vanishes for some values of u and , i.e., the equation is degenerate, one obtains a quite different dynamics compared to the linear case. The two main nonlinear features are finite speed of propagation and the absence of parabolic smoothening of the solution. Concrete applications can, e.g., be found when modelling gas flow through porous media, phase transitions and population dynamics. A survey of such applications is given in [25, Section 1.3 and Chapter 2]. In order to keep the presentation as clear-cut as possible, we will mostly ignore the presence of lower-order advection and reactions terms.
Approximating the solution of a partial differential equation typically results in large-scale computations, which require the usage of parallel and distributed hardware. One possibility to design numerical schemes that make use of such hardware is to decompose the equation’s domain into a family of subdomains. The domain decomposition method then consists of an iterative procedure where, in every step, the equation is solved independently on each subdomain and the resulting solutions are thereafter communicated to the adjacent subdomains. This independence of the decomposed equations and the absence of global communication enables the parallel and distributed implementation of domain decomposition methods. For linear parabolic equations the common procedure is to first discretize the equation in time by a standard implicit integrator. Then an elliptic equation on is obtained in every time step, which is iteratively solved by a domain decomposition based discretization. We refer to the monographs [19, 21, 24] for an in-depth treatment of this approach. Another possibility is to apply the domain decomposition method to the full space-time domain , which leads to an iterative procedure over parabolic problems that can be parallelized both in space and time; see, e.g., [12, 13, 15].
When considering nonlinear parabolic problems one finds that there are hardly any results concerning the analysis of domain decomposition based schemes. Two exceptions are the papers [17, 18], where domain decomposition schemes are analyzed for non-degenerate quasilinear parabolic equations and the degenerate two-phase Stefan problem, respectively. The lack of results in the context of degenerate equations is rather surprising from a practical point of view, as the equations’ finite speed of propagation is ideal for applying domain decomposition strategies. For example, a solution that is initially zero in parts of the domain will in each time step only propagate to a small number of neighboring subdomains, which limits the computational work considerably. However, from a theoretical perspective the lack of convergence results is less surprising. The issue is that the standard domain decomposition schemes all link together the equations on the subdomains via boundary conditions. As the solutions of degenerate parabolic equations typically lack higher-order regularity, making sense of such boundary linking is, at the very least, challenging.
In order to remedy this, we propose to directly introduce the domain decomposition in the time integrator via an operator splitting procedure. More precisely, let be an overlapping decomposition of the spatial domain , as exemplified in Fig. 1. On these subdomains we introduce the partition of unity and the operator decomposition, or splitting,
| 2 |
Two possible (formally) first-order integrators are then the sum splitting
| 3 |
which represents a “quick and dirty” scheme that is straightforward to parallelize, and the Lie splitting
| 4 |
which is usually more accurate but requires a further partitioning of the subdomains in order to enable parallelization, as illustrated in Fig. 1. In contrast to the earlier domain decomposition based schemes, where an iterative procedure is required with possibly many instances of boundary communications, one time step of either splitting scheme only needs the solution of s elliptic equations together with the communication of the data related to the overlaps. Similar splitting schemes have, e.g., been considered in the papers [2, 16, 20, 26] when applied to linear, and to some extent semilinear, parabolic problems. However, there does not seem to be any analysis applicable to degenerate, or even quasilinear, parabolic equations in the literature.
Fig. 1.
Examples of overlapping domain decompositions of a domain , with subdomains (left) and subdomains that are further decomposed into families of pairwise disjoint sets (right), respectively
Hence, the goal of this paper is twofold. First, we aim to derive a new energetic, or variational, framework that allows a proper interpretation of the operator decomposition (2) for two commonly occurring families of degenerate parabolic equations. These are the p-Laplace type evolutions, where the prototypical example is given by , and the porous medium type equations, where in the simplest case. For the porous medium application we will use the strategic reformulation
of the decomposition (2), in order to enable an energetic interpretation.
Secondly, we will strive to obtain a general convergence analysis for the domain decomposition based time integrators, including the sum and Lie splitting schemes. The main idea of the convergence analysis is to introduce the nonlinear Friedrich extensions of the operators f and , via our new abstract energetic framework, and then to employ a Lax-type result from the nonlinear semigroup theory [5].
Function spaces
Throughout the analysis , , will be an open, connected and bounded set and the parameter is fixed. Next, let be a family of overlapping subsets of such that holds. Here, each is either an open connected set, or a union of pairwise disjoint open, connected sets such that . On we introduce the partition of unity such that
For details on the construction of explicit domain decompositions and partitions of unity we refer to [2, Section 3.2] and [20, Section 4.1].
The related weighted Lebesgue space can now be defined as the set of all measurable functions u on such that the norm
is finite. The space is a reflexive Banach space, which follows by observing that the map is an isometric isomorphism [9, Chapter 1]. We will also make frequent use of the product space , equipped with the norm
which is again a reflexive Banach space [1, Theorem 1.23].
The idea is now to introduce a suitable pivot space H and the energetic spaces and , such that the action of the linear differential operator, denoted by , arising in the nonlinear vector field and its weighted counterpart, , can be interpreted as elements in and , respectively. As a concrete example, consider the p-Laplacian . Here, is the distributional gradient, and . The space becomes the intersection between and a weighted version of . The p-Laplace and porous medium type equations require different pivot and energetic spaces, and we therefore start by developing an abstract setting fitting both equation families.
Let be a real Hilbert space space and denote the space of distributions on by . For a given we introduce the linear operator
which is assumed to be continuous in the following fashion.
Assumption 1
If in H then, for ,
As the regularity of the weights implies that for all , we can define the product by
The energetic spaces V and are then given as
and
respectively. On the energetic spaces we consider the operators
where maps to the corresponding functions that can be represented by, and maps to the corresponding functions that can be represented by, respectively.
Lemma 1
.
Proof
For an arbitrary it follows, for , that
for every and . As , we have a representation of in , i.e., for every . Hence, .
Next, assume that . Then we can write
for every and . Let be the zero extension of to the whole of . We can then define the measurable function on as , which satisfies
Furthermore, the norm of can be bounded by
This yields that for , i.e., and we thereby have the identification .
Lemma 2
If Assumption 1 holds, then the operators and , , are linear and closed.
Proof
The linearity of the operators is clear, since is a linear operator. Let the sequence satisfy
Assumption 1 then yields that
for every and . Hence, can be represented by the function , i.e., holds and the operator is therefore closed. The closedness of follows by the same line of reasoning.
On the energetic spaces V and , , we define the norms
respectively.
Lemma 3
If Assumption 1 holds, then the spaces and , , are reflexive Banach spaces.
Proof
Consider the reflexive Banach space , equipped with the norm , and introduce the linear and isometric operator
The graph of the closed operator coincides with the image , which makes a closed linear subset of X. Here, is a reflexive Banach space [1, Theorem 1.22] and, as G is isometric, it is isometrically isomorphic to . Hence, the latter is also a reflexive Banach space. The same line of argumentation yields that V is a reflexive Banach space.
Hereafter, we will assume the following.
Assumption 2
The set V is dense in H.
Under this assumption it also holds that is a dense subsets of H. By the construction of the energetic norms, one then obtains that the reflexive Banach spaces and are densely and continuously embedded in H and we have the following Gelfand triplets
Here, the density of in and , respectively, follows, e.g., by [14, Bemerkung I.5.14]. For future reference, we denote the dual pairing between a Banach space X and its dual by , and the Riesz isomorphism from H to by
Here, the Riesz isomorphism satisfies the relations
for all , and .
Remark 1
Throughout the derivation of the energetic framework we have assumed that the partition of unity consists of elements in . This is somewhat restrictive from a numerical point of view, but this regularity is required if nothing else is known about the operator . Fortunately, in concrete examples; see Sects. 6 and 7, one commonly has that . If we then choose a partition of unity in , we have the property that for every , and we can once more derive the above energetic setting by testing with functions in , instead of in .
Energetic extensions of the vector fields
With the function spaces in place, we are now able to define the general energetic extensions of our vector fields.
Assumption 3
For a fixed , let fulfill the properties below.
The map fulfills the Carathéodory condition, i.e., is continuous for a.e. and is measurable for every .
The growth condition holds for a.e. and every , where and is nonnegative.
The map is monotone, i.e., for every and a.e. the inequality holds.
The map is coercive, i.e., there exists and such that for every and a.e. the condition holds.
Compare with [27, Section 26.3].
We introduce the full energetic operator as
The operator F is well defined, as for and by () we obtain that . Furthermore, we define the decomposed energetic operators , , by
These operators are well defined, as
is finite for every , due to (). This family of operators is a decomposition of F, as it fulfills
We can now derive the basic properties of the (perturbed) energetic operators, namely, strict monotonicity and coercivity of and . These operators are also hemicontinuous, i.e., the maps are continuous on [0, 1] for .
Lemma 4
If the Assumptions 1–3 hold and , then the operators and , , are strictly monotone, coercive and hemicontinuous.
Proof
We will only derive the properties for , as the same argumentation holds for . The strict monotonicity of the operator follows using (), as
holds for all with .
Next, we prove the coercivity of . By assumption (), we have
for every . Hence, we have the limit
as , which implies the coercivity of .
Last, we prove that is hemicontinuous. Consider a sequence in [0, 1] with limit t and introduce
As holds for almost every , due to (), and
where the right-hand side is an element, we obtain that
by the dominated convergence theorem. This implies that is hemicontinuous, and the same trivially holds for .
Corollary 1
If the Assumptions 1–3 hold and , then the operators and , , are all bijective.
Proof
As and are all, by Lemma 4, strictly monotone, coercive and hemicontinuous, their bijectivity follows by the Browder–Minty theorem; see, e.g., [27, Theorem 26.A].
Friedrich extensions of the vector fields
The energetic setting is too general for the convergence analysis that we have in mind. We therefore introduce the nonlinear Friedrich extensions of our vector fields, i.e., we restrict the domains of the energetic operators such that they become (unbounded) operators on the pivot space H. More precisely, we define the Friedrich extension of the full vector field by
Analogously, we introduce the Friedrich extensions , , of the decomposed vector fields by
We can derive that these operators are in fact maximal dissipative, i.e.,
Lemma 5
If the Assumptions 1–3 hold, then the operators and , , are all maximal dissipative.
Proof
By () of Assumption 3, we have that
for all . Next, for given and one has, in virtue of Corollary 1, that there exists a unique such that , or equivalently
Hence, and in H, i.e., . The operators , , are therefore maximal dissipative. The same argumentation holds for f.
Before we continue with our analysis we recapitulate a few properties of a general maximal dissipative operator . The resolvent
is well defined, for every , and nonexpansive, i.e.,
The latter follows directly by the definition of dissipativity. Furthermore, the resolvent and the related Yosida approximation satisfies the following.
Lemma 6
If is maximal dissipative, then
in H for every and , respectively.
The proof of Lemma 6 can, e.g., be found in [3, Proposition II. 3.6] or [7, Proposition 11.3]. Next, we will relate the full vector field f with its decomposition .
Lemma 7
Proof
Choose a , then and the sum satisfies the relation
for all . Hence, , which yields that and .
Unfortunately, the set is in general not equal to , as does not necessarily imply that for every . This issue is well known and we will encounter it when decomposing the p-Laplacian; compare with Sect. 6. We will therefore assume that the mild regularity property below holds.
Assumption 4
for all .
Under this assumption one has the following identification, which is sufficient for our convergence analysis.
Lemma 8
If the Assumptions 1–4 hold, then the closure of is f, i.e.,
Proof
By Lemma 7 and the fact that the maximal dissipative operator f is closed [3, Proposition II.3.4], we obtain that
Next, choose an arbitrary . Since
we can define via
for every . By Lemma 6, we have the limits
Hence, the set is dense in , i.e., its closure in is equal to .
Abstract evolution equations and their approximations
With the Friedrich formulation of our full vector field , the parabolic equations all take the form of an abstract evolution equations, i.e.,
| 5 |
on H. Furthermore, with the decomposition , the splitting schemes (3) and (4) are given by the operators
respectively. Here, and are both approximations of the exact solution u at time .
As the resolvent of a maximal dissipative operator is well defined and nonexpansive on H, it is a natural starting point for a solution concept. To this end, consider the operator family defined by
where the limit is well defined in H for every and ; see [6, Theorem I]. The operator family is in fact a (nonlinear) semigroup and each is a nonexpansive operator on H. The unique mild solution of the evolution Eq. (5) is then given by the function , which is continuous on bounded time intervals. An extensive exposition of the nonlinear semigroup theory can, e.g., be found in [3].
There is a discrepancy between the domain of the solution operator, i.e., , and the fact that the operators and are not necessarily invariant over it. In order to avoid several technicalities induced by this, we will assume the following.
Assumption 5
The domain is dense in H.
As f is the closure of , one has the inclusions
which implies that . Hence, is also dense in H when Assumption 5 holds.
We can now formulate the following simplified version of the Lax-type convergence result given in [5, Corollary 4.3].
Lemma 9
Consider an operator family , where each operator is nonexpansive on H and the operator family is consistent, i.e.,
If the Assumptions 1–5 hold, then
for every and .
Theorem 1
If the Assumptions 1–5 hold, then the sum splitting (3) is convergent in H to the mild solution of the abstract evolution Eq. (5), i.e.,
for every and .
Proof
As each resolvent is nonexpansive on H for all values of , one has the bound
and is therefore nonexpansive on H. To validate the consistency of , we first observe that
The consistency can then be formulated in terms of the Yosida approximation, i.e., for every one has the limit
in H, as ; compare with Lemma 6. The desired convergence is then proven as the hypotheses of Lemma 9 hold.
Theorem 2
If the Assumptions 1–5 hold, then the Lie splitting (4) is convergent in H to the mild solution of the abstract evolution Eq. (5), i.e.,
for every and .
Proof
We once more prove convergence by validating the hypotheses of Lemma 9. The nonexpansivity of the operator on H follows trivially as every resolvent has the same property. In order to validate the consistency of , let and consider the telescopic expansion
| 6 |
where and
As the arguments of the Yosida approximations in (6) are h dependent, we can not directly use Lemma 6. Instead, we assume for the time being that the limit
| 7 |
exists. By introducing the maximal dissipative operator
which satisfies , we have the reformulation
By Lemma 6 and the nonexpansivity of , one then obtains the limit
Hence, if (7) exists then . Furthermore, if (7) exists for every , then in H.
The limit (7) obviously exists for . If it exists for then it also exists for , as
in H, as . By induction, the limit (7) exists for every , and is therefore consistent.
Remark 2
The results can be extended to perturbed equations , e.g., arising if a lower-order advection or reaction term is added to the diffusion process. Here, g and are both assumed to satisfy a shifted dissipativity condition of the form
with M being a nonnegative constant, and the range condition for . This is, e.g., satisfied when is Lipschitz continuous. More elaborate perturbation examples are given in [3, Section II.3.2]. For these perturbed evolution equations, one has convergence for the modified splitting schemes, with a single step given by
respectively. If is in addition Lipschitz continuous, then convergence is also obtained for the semi-implicit schemes
The convergence of the modified schemes follow just as for the proof of Theorem 2 together with the fact that [5, Corollary 4.3] is valid for operators that have Lipschitz constants of the form .
Parabolic equations of p-Laplace type
As a first problem class we consider the parabolic equations of p-Laplace type with homogeneous Neumann boundary conditions, i.e.,
| 8 |
The domain is assumed to have a locally Lipschitz boundary , and the map satisfies Assumption 3 for a given . The classical p-Laplacian is then given by
After multiplication with v and a subsequent integration by parts, the variational form of (8) and its decomposition is formally given by
| 9 |
Here, we have introduce a domain decomposition , where , together with a partition of unity chosen in ; compare with Remark 1.
In order to fit the variational form into the abstract setting of Sect. 3, we choose the pivot space and the operator as the distributional gradient
This choice of fulfills the continuity Assumption 1, since for a convergent sequence and an arbitrary one can write
for every, where is the j-th partial derivative in a distributional sense. The space V is then
A bootstrap argument using the Sobolev embedding theorem yields the identification . Since is dense in , Assumption 2 is also fulfilled.
With these choices, is simply the weak gradient of and we obtain the standard energetic form of p-Laplace type vector fields, i.e.,
The domain of the corresponding Friedrich extension can be written as
and fu is given by the weak divergence of . The same characterization can be made for and , respectively. Applying Lemma 5 the operators f and , , are maximal dissipative and Lemma 7 yields that
Validation of Assumption 5 requires further structure of the map . For the classical p-Laplacian the related is continuously differentiable and , which implies that is a subset of . Hence, is dense in and Assumption 5 is valid in this context. Finally, if Assumption 4 holds then the convergence results from Sect. 5 can directly be applied.
Apart from the special cases when or , the domains of p-Laplace type vector fields can not be expected to coincide with . The issue is that for an element one has
where the function only lies in , with . The term is therefore, in general, not an function. In order to give a possible setting for which Assumption 4 is valid, we assume that the domain decomposition is chosen such that
| 10 |
That is, the subdomain separates the boundary from the other subdomains; as illustrated in Fig. 2.
Fig. 2.
An example of a domain decomposition that fulfills (10)
Lemma 10
Consider a domain decomposition that satisfies (10) and with subdomains , , that all have the segment property. If in addition satisfies and the map fulfills Assumption 3() with , then the Friedrich extension f of a p-Laplace type vector field and its decomposition into the operators fulfill Assumption 4.
Proof
For an arbitrary there exists a unique such that and Assumption 4 is then valid if . To prove this, we first observe that and for some , as and . Hence, [8, Theorem 2 and Remarks pp. 829–830] implies that is locally Hölder continuous on and we obtain that
for every open domain such that .
As , we have the integration by parts
| 11 |
for every . Due to the extra interior regularity of we can, e.g., extend (11) to all , where and is a.e. zero on for some open subdomain that has the segment property and fulfills . The latter implies that is the zero extension of ; see, e.g., [1, Theorem 5.29].
Next, let , for , and consider . Here,
for every , i.e., and a.e. on . If then .
For , we can test with and integrate by parts (11). Writing out and rearranging the terms gives us
i.e., , as the integrand on the right-hand side is in .
It remains to prove that u lies in . As the closure of does not intersect the outer boundary , we can choose an open subset such that on , its boundary is locally Lipschitz continuous and . Let , then a.e. on and . The local Lipschitz continuity of implies, e.g., via [1, Theorem 5.24], that there exists an extension such that a.e. on . Furthermore, is zero a.e. on , i.e., it is a zero extension of an function on some subdomain , with . For every we therefore have a partitioning of the form and the integration by parts (11) is well defined for . By the same argumentation as for , one obtains that u lies in .
Remark 3
From a numerical perspective the construction (10) with a separating subdomain is suboptimal for general time dependent PDEs, as it may increase the amount of communication in the implementation of scheme. However, as discussed in Sect. 1, we are foremost interested in the approximation of solutions with compact support in . Hence, for sufficiently short time intervals (0, T) there is obviously no communication related to ; as exemplified in Fig. 2.
Parabolic equations of porous medium type
A second problem class that fits into our abstract setting is the parabolic equations of porous medium type with homogeneous Dirichlet boundary conditions, i.e.,
| 12 |
Here, the domain is assumed to have a locally Lipschitz boundary , and the map fulfills Assumption 3 for a given p that satisfies
This restriction on p is made in order to assure the embedding
| 13 |
which is central in our forthcoming analysis. The standard porous medium equation is then given by
and the fast diffusion equation is obtained for the same , but with ; see [25]. The two-phase Stefan problem [11, Section 5.10] follows by choosing
where , and Assumption 3 is then valid for .
After multiplying (12) by w, where in and on , and integrating by parts twice, the variational form of (12) and its decomposition is formally
| 14 |
Above, we have once more introduced a domain decomposition of together with a partition of unity .
With the proper interpretation, the left-hand side of (14) is given by the inner product on ; compare with [14, Bemerkung III.1.13]. The formal variational formulation (14) therefore leads us to choosing the pivot space and the operator
The operator obviously fulfills the continuity Assumption 1. The space V is now
and as before , where v is the unique function stated in the definition of V. By the embedding (13) and [14, Bemerkung I.5.14], we obtain that
i.e., Assumption 2 is fulfilled. With these choices, we have the energetic form given by
In order to characterize the Friedrich operator f, we introduce the Dirichlet Laplacian , where
As is the Riesz isomorphism from to , the inner product on satisfies
for all ; compare with [10]. Next, for there exists a such that
for all , or equivalently
Hence, ; see, e.g., [1, Lemma 3.31], and we obtain the characterization
and for .
Analogously to Sect. 6, we have and we can therefore allow a partition of unity in . The spaces , , are then
Again, we write for the unique function v from this definition.
After introducing and , as described in Sect. 3, we have by Lemmas 5 and 7 that the operators f and , , are maximal dissipative and
Instead of Assumption 4 we can prove the stronger condition
To prove the equality take an arbitrary . Since , we also have that for every weight function and
That is, u also lies in for .
Assumption 5 requires some further regularity of the map and the validation that vanishes on the boundary . For the porous medium equation and the two-phase Stefan problem one has that for every . The set of functionals of the form , where and , is therefore a subset of . It is also a dense subset of , as is dense in and is dense in . Hence, Assumption 5 is valid for these two prototypical examples, and the convergence results of Sect. 5 hold.
Remark 4
The variational setting of porous medium type equations, with as pivot space, is by no means standard. However, it enables a clear-cut way of introducing the related Friedrich operator. The variational setting has, e.g., been proposed in [14, Bemerkung I.5.14]. It has also been employed in [10] when proving convergence of finite element/implicit Euler approximations for the porous medium equation, on its very weak form. Note that the standard approach to prove that is a maximal dissipative operator on is to directly observe that it is the gradient of a convex function; see [4, Example 3].
Numerical experiments
We conclude by illustrating the convergence of the sum (3) and Lie (4) splitting schemes. In order to obtain a numerical example where the spatial error is negligible, we will consider a nonlinear parabolic equation with a known solution and a fine spatial grid. To this end, we choose the classical one-dimensional parabolic p-Laplace equation, i.e., Eq. (8) with
If the initial value is chosen as the Dirac delta then the solution of the parabolic p-Laplace equation in is given by the Barenblatt solution
where , and . As we require the initial value in (8) to be an -element, we choose for a . The solution is then given by for , where the end time T is assumed to satisfy the condition .
Next, observe that one time step of either splitting scheme consists of solving equations of the form , or equivalently
| 15 |
A possible finite element discretization is obtained by equidistantly partitioning into M subintervals , with , and replacing with the finite dimensional space , consisting of continuous functions on that are linear in each subinterval. Let denote the standard basis of hat functions and assume that is the union of the m subintervals . For being a known approximation of the element z from (15), with on , the finite element approximation of then has the form on and otherwise. By employing mass lumping [23, Chapter 15], the unknown coefficients satisfy the algebraic equation system
where . By utilizing Newton’s method for the algebraic equation systems, we obtain computable space time discretizations based on domaindecomposition splittings.
For our numerical experiments we set , , and decompose into eight consecutive subdomains , all of the same width and with equally sized overlaps. We also introduce a fine equidistant partitioning of with subintervals, such that each of the seven overlaps contain 100 subintervals. In the implementation of the Lie splitting we set ,
When the same domain decomposition is employed for the sum splitting, we refer to it as the Sum2 scheme. In order to study the influence of the number of operators in the splitting schemes, we also consider the sum splitting with a decomposition, where
This is referred to as the Sum4 scheme. In all cases, the weight functions are chosen to be continuous and piecewise linear. We finally estimate the full (space time) error at time in the norm of , by taking the difference between the numerical approximation and the linear interpolation of the exact solution.
The -errors for various time steps h and are presented in Fig. 3 for the Lie, Sum2 and Sum4 schemes. As a reference, we also give the errors for the implicit Euler (IE) scheme. From the results it is clear that the approximation schemes converge and the temporal errors are dominating the full error. If the latter was not the case, the error curves would level out for small time steps h. In this somewhat academic example, we even obtain the classical first-order convergence for all the schemes. This is most likely due to the regularity of the solution, which is smooth away from the interface between and . Note that such regularity is not to be expected in general and neither is first-order convergence.
Fig. 3.
The -errors at time with respect to the time step h for various time integrators and (left) and for the Sum2 splitting scheme and various p values (right), respectively
Comparing the results of Sum2 and Sum4 reveals that the error constant dubbles when passing from to operators, which comes as no surprise as the time step h is scaled by the number of operators in the sum splitting (3). Hence, the number of operators should be kept at a minimum to assure a moderate error constant. Note that for complex geometries in spatial dimensions, one is typically forced to use operators in order to obtain a reasonable spatial accuracy.
We conclude by investigating the influence of the parameter p on the convergence of the sum splitting schemes (similar results hold for the Lie splitting). In Fig. 3 the convergence for the Sum2 method is illustrated for various time steps h and . As seen from the results, the convergence rate does not seem to be affected by the parameter p. The only observed impact on the splitting integrators is a mild time step restriction for extreme p values. This is in stark contrast to classical domain decomposition schemes applied to the elliptic p-Laplace equation. Here, the the convergence rate, with respect to the number of iterations, is predicted to deteriorate for large values of p [22, Section 5].
Acknowledgements
Part of this study was conducted during the second author’s guest research stay at the Institut für Mathematik, TU Berlin. The second author would like to thank Etienne Emmrich for enabling this inspiring stay. The authors thank the anonymous referee for making them aware of the results in [22].
Footnotes
This work was funded by CRC 901 control of self-organizing nonlinear systems: theoretical methods and concepts of application.
Contributor Information
Monika Eisenmann, Email: meisenma@math.tu-berlin.de.
Eskil Hansen, Email: eskil.hansen@math.lth.se.
References
- 1.Adams RA, Fournier JF. Sobolev Spaces. Amsterdam: Elsevier; 2003. [Google Scholar]
- 2.Arrarás A, in’t Hout KJ, Hundsdorfer W, Portero L. Modified Douglas splitting methods for reaction–diffusion equations. BIT. 2017;57(2):261–285. doi: 10.1007/s10543-016-0634-9. [DOI] [Google Scholar]
- 3.Barbu V. Nonlinear Semigroups and Differential Equations in Banach Spaces. Leyden: Noordhoff; 1976. [Google Scholar]
- 4.Brézis H. Monotonicity methods in Hilbert spaces and some applications to nonlinear partial differential equations. In: Zarantonello E, editor. Contributions to Nonlinear Functional Analysis. New York: Academic Press; 1971. pp. 101–156. [Google Scholar]
- 5.Brézis H, Pazy A. Convergence and approximation of semigroups of nonlinear operators in Banach spaces. J. Funct. Anal. 1972;9(1):63–74. doi: 10.1016/0022-1236(72)90014-6. [DOI] [Google Scholar]
- 6.Crandall MG, Liggett TM. Generation of semi-groups of nonlinear transformations on general Banach spaces. Am. J. Math. 1971;93(2):265–298. doi: 10.2307/2373376. [DOI] [Google Scholar]
- 7.Deimling K. Nonlinear Functional Analysis. Berlin: Springer; 1985. [Google Scholar]
- 8.DiBenedetto E. local regularity of weak solutions of degenerate elliptic equations. Nonlinear Anal. 1983;7(8):827–850. doi: 10.1016/0362-546X(83)90061-5. [DOI] [Google Scholar]
- 9.Drábek P, Kufner A, Nicolosi F. Quasilinear Elliptic Equations with Degenerations and Singularities. Berlin: Walter de Gruyter; 1997. [Google Scholar]
- 10.Emmrich E, Šiška D. Full discretization of the porous medium/fast diffusion equation based on its very weak formulation. Commun. Math. Sci. 2012;10(4):1055–1080. doi: 10.4310/CMS.2012.v10.n4.a2. [DOI] [Google Scholar]
- 11.Friedman A. Variational Principles and Free-Boundary Problems. Malabar, Fla: Krieger; 1988. [Google Scholar]
- 12.Gander MJ. A waveform relaxation algorithm with overlapping splitting for reaction diffusion equations. Numer. Linear Algebra Appl. 1999;6(2):125–145. doi: 10.1002/(SICI)1099-1506(199903)6:2<125::AID-NLA152>3.0.CO;2-4. [DOI] [Google Scholar]
- 13.Gander MJ, Halpern L. Optimized Schwarz waveform relaxation methods for advection reaction diffusion problems. SIAM J. Numer. Anal. 2007;45(2):666–697. doi: 10.1137/050642137. [DOI] [Google Scholar]
- 14.Gajewski H, Gröger K, Zacharias K. Nichtlineare Operatorgleichungen und Operatordifferentialgleichungen. Berlin: Akademie-Verlag; 1974. [Google Scholar]
- 15.Giladi E, Keller HB. Space-time domain decomposition for parabolic problems. Numer. Math. 2002;93(2):279–313. doi: 10.1007/s002110100345. [DOI] [Google Scholar]
- 16.Hansen, E., Henningsson, E.: Additive domain decomposition operator splittings—convergence analyses in a dissipative framework. IMA J. Numer. Anal. (2016) (to appear)
- 17.Kim MY, Park EJ, Park J. Mixed finite element domain decomposition for nonlinear parabolic problems. Comput. Math. Appl. 2000;40(8–9):1061–1070. doi: 10.1016/S0898-1221(00)85016-6. [DOI] [Google Scholar]
- 18.Lapin AV. Domain decomposition method for grid approximation of two-phase Stefan problem. Sov. J. Numer. Anal. Math. Model. 1991;6(1):25–42. [Google Scholar]
- 19.Mathew TP. Domain Decomposition Methods for the Numerical Solution of Partial Differential Equations. Berlin: Springer; 2008. [Google Scholar]
- 20.Mathew TP, Polyakov PL, Russo G, Wang J. Domain decomposition operator splittings for the solution of parabolic equations. SIAM J. Sci. Comput. 1998;19(3):912–932. doi: 10.1137/S1064827595288206. [DOI] [Google Scholar]
- 21.Quarteroni A, Valli A. Domain Decomposition Methods for Partial Differential Equations. Oxford: Clarendon Press; 1999. [Google Scholar]
- 22.Tai XC, Xu J. Global and uniform convergence of subspace correction methods for some convex optimization problems. Math. Comput. 2002;71:105–124. doi: 10.1090/S0025-5718-01-01311-4. [DOI] [Google Scholar]
- 23.Thomée V. Galerkin Finite Element Methods for Parabolic Problems. 2. Berlin: Springer; 2006. [Google Scholar]
- 24.Toselli A, Widlund O. Domain Decomposition Methods—Algorithms and Theory. Berlin: Springer; 2005. [Google Scholar]
- 25.Vázquez JL. The Porous Medium Equation. Oxford: Oxford University Press; 2007. [Google Scholar]
- 26.Vabishchevich P, Zakharov P. Domain decomposition scheme for first-order evolution equations with nonselfadjoint operators. In: Iliev OP, Margenov SD, Minev PD, Vassilevski PS, Zikatanov LT, editors. Numerical Solution of Partial Differential Equations: Theory, Algorithms, and Their Applications. New York: Springer; 2013. pp. 279–302. [Google Scholar]
- 27.Zeidler E. Nonlinear Functional Analysis and Its Applications. II/B. New York: Springer; 1990. [Google Scholar]



