Evolutionary $\Gamma$-convergence of weak-type
Augusto Visintin

TL;DR
This paper introduces a new concept of evolutionary onvergence for operators on time-dependent functions, extending classical onvergence, and proves compactness results with applications to quasilinear flows.
Contribution
It extends classical onvergence to a time-dependent setting and establishes compactness and stability results for quasilinear flows involving pseudo-monotone operators.
Findings
Proves ompactness of equi-coercive sequences
Introduces evolutionary onvergence of weak type
Applies results to quasilinear flow stability
Abstract
A notion of evolutionary -convergence of weak type is introduced for sequences of operators acting on time-dependent functions. This extends the classical definition of -convergence of functionals due to De Giorgi. The -compactness of equi-coercive and equi-bounded sequences of operators is proved. Applications include the structural compactness and stability of quasilinear flows for pseudo-monotone operators.
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Taxonomy
TopicsApproximation Theory and Sequence Spaces · Advanced Mathematical Modeling in Engineering
Evolutionary -convergence of weak-type
Augusto Visintin Dipartimento di Matematica dell’Università degli Studi di Trento – via Sommarive 14, 38050 Povo di Trento, Italia – email: [email protected]
Abstract
A notion of evolutionary -convergence of weak type is introduced for sequences of operators acting on time-dependent functions. This extends the classical definition of -convergence of functionals due to De Giorgi. The -compactness of equi-coercive and equi-bounded sequences of operators is proved. Applications include the structural compactness and stability of quasilinear flows for pseudo-monotone operators.
Keywords: -convergence
AMS Classification (2000): 35K60, 47H05, 49J40, 58E.
1 Introduction
In this note we deal with a notion of evolutionary -convergence of weak type, which extends De Giorgi’s basic definition; see [9] and e.g. the monographs [1], [2], [3], [7].
Here we formulate -convergence for operators (rather than functionals) that act on time-dependent functions ranging in a Banach space . This definition of evolutionary -convergence is quite different from that of [17] and from that of [8], [12], [13]. In those works -convergence is set for almost any , whereas here it is assumed just in the weak topology of , and thus is a substantially weaker notion. This definition fits the rather general framework of -convergence, defined in Chap. 16 of [7]; see also references therein. However [7] does not encompass Theorem 3.2 ahead, which is the main achievement of this work and is at the basis of the results of [20]; see also the survey [19].
After results of Brezis and Ekeland [4], Nayroles [16] and Fitzpatrick [10], a class of first-order quasilinear flows can be given a variational formulation, without assuming monotonicity of the operator. In the parallel work [20], Theorem 3.2 is applied to prove structural compactness and structural stability of the corresponding Cauchy problem. This applies to a large number of PDEs of mathematical physics, see [20].
We proceed as follows. In Section 2 we define evolutionary -convergence of weak type. In Theorem 3.2 we prove compactness for this convergence. In Theorem 4.1 we apply Theorem 3.2 to the structural compactness and stability of nonmonotone flows.
2 Definition of evolutionary -convergence of weak type
In this section we extend De Giorgi’s basic notion of -convergence to operators (rather than functionals) that act on time-dependent functions ranging in a Banach space .
Functional set-up. Let be a real separable and reflexive Banach space, , , and
[TABLE]
Examples of interest will be the Lebesgue measure of , and such that . Let us set
[TABLE]
and equip either space with the respective graph norm.
Let us equip with a topology that is intermediate between the weak and the strong topology. 111 The generality of this topology is instrumental to the application to structural stability, see [20]. A reader interested just in evolutionary -convergence might go through this section assuming that is the Lebesgue measure and that is the weak topology.
For any operator , let us set
[TABLE]
Evolutionary -convergence of weak type. Let be a bounded sequence of operators ; by this we mean that, for any bounded subset of , the set is bounded in . If is also an operator , we shall say that
[TABLE]
if and only if, denoting by the cone of the nonnegative functions of ,
[TABLE]
We shall say that a sequence -converges if it -converges with respect to , that a functional is -lower semicontinuous if it is lower semicontinuous with respect to , and so on.
By the classical definition of sequential -convergence, (2.5) means that for any
[TABLE]
[TABLE]
By the properties of ordinary -convergence, (2.5) entails that
[TABLE]
Remarks 2.1**.**
(i) This definition of evolutionary -convergence is not equivalent either to that of [17] or to that of [8], [12], [13]. In those works -convergence is actually assumed for almost any , whereas here it is just weak in .
(ii) The present definition is based on testing the sequence on functions of time, and may equivalently be reformulated in terms of set-valued functions as follows. Denoting by the -algebra of the Lebesgue-measurable subsets of , (2.5) is tantamount to
[TABLE]
As the elements of are in one-to-one correspondence with the characteristic functions of , this equivalence can be checked by mimicking the argument based on the Lusin theorem, that we use in the proof below.
(iii) By restating the definition (2.4), (2.5) as in the previous remark, it fits the rather general framework of -convergence, that is defined in Chap. 16 of [7], see also references therein. The results of that monograph however do not encompass the theorem of -compactness of the next section.
(iv) Although we consider generic operators , our main concern is for superposition (i.e., Nemytskiĭ-type) operators of the form
[TABLE]
(By this we mean that is globally measurable and is lower semicontinuous for a.e. .)
3 Evolutionary -compactness of weak type
In this section we prove a theorem of compactness for the evolutionary -convergence that we just defined. This will be based on a result of Hiai [11], that we now display.
As a preparation, let us say that a functional is invariant by translations if, denoting by the function obtained by extending to with null value,
[TABLE]
The next result will play a role in the present analysis.
Lemma 3.1** ([11]).**
Let be a real separable Banach space and . Let a functional () be lower semicontinuous and also additive, in the sense that
[TABLE]
Then there exists a normal function such that
[TABLE]
*Moreover, if is convex then is also convex for a.e. , and the function is unique, up to modification on sets of the form with .
Finally, if the functional is invariant by translations, then does not depend on .*
This lemma may be compared e.g. with Section 2.4 of [6], which however deals with a finite-dimensional space .
We are now ready to state and prove the main result of this note.
Theorem 3.2**.**
Let be a real separable and reflexive Banach space, , , and be a sequence of normal functions . Assume that this sequence is equi-coercive and equi-bounded, in the sense that
[TABLE]
and that
[TABLE]
Let fulfill (2.1). Let be a topology on that either coincides or is finer than the weak topology, and such that
[TABLE]
Then there exists a normal function such that a.e. in , and such that, defining the operators for any as in (2.10), possibly extracting a subsequence,
[TABLE]
Moreover, if does not depend on for any , then the same holds for .
Proof. For the reader’s convenience, we split this argument into several steps.
(i) First we show that, denoting by the cone of the nonnegative functions of ,
[TABLE]
The separable Banach space has a countable dense subset , e.g., the family of polynomials with rational coefficients. Let us denote by the cone of the nonnegative elements of . For any , by (3.4) a suitable subsequence weakly -converges to a function , and
[TABLE]
A priori the selected subsequence might depend on . However, because of the countability of , via a diagonalization procedure one can select a subsequence that is independent of . (Henceforth we shall write in place of , dropping the prime.) For that subsequence thus
[TABLE]
that is, for any ,
[TABLE]
[TABLE]
(The recovery sequence in (LABEL:eq.evol.c=) may depend on .)
As any is the uniform limit of some sequence in , for any bounded sequence in
[TABLE]
By the density of in , (3.8) then follows.
(ii) Next we extend (3.8) to any .
By the classical Lusin theorem, for any there exists a sequence in such that, setting ,
[TABLE]
Hence
[TABLE]
As in (see (LABEL:eq.evol.c=)), the sequence is equi-integrable. By this property and by (3.14)2,
[TABLE]
(3.8) is thus extended to any .
(iii) Next we prove that
[TABLE]
(Here some care is needed, since is not a linear space.) Let us fix any , any , and any sequence as in (LABEL:eq.evol.c=). By the boundedness of and by (3.4), the sequence = is bounded in and is equi-integrable. There exists then a function such that, possibly extracting a subsequence, in . 222 We denote the strong and weak convergence respectively by and .
Thus
[TABLE]
Thus by (LABEL:eq.evol.c=)
[TABLE]
Therefore is determined by , and is independent of the specific sequence that fulfills (LABEL:eq.evol.c=). This defines an operator
[TABLE]
The equality (3.18) thus reads
[TABLE]
Recalling the definition (2.3), we see that this completes the proof of (3.16).
(iv) Finally, we show that there exists a normal function such that the operator that we just defined in (3.19) is as in (2.10).
By (3.5), for any the functional
[TABLE]
is additive in the sense of (3.2) below. This property then also holds for the limit functional
[TABLE]
By selecting in (2.8), we get that is lower semicontinuous. By Lemma 3.1 then there exists a normal function as we just specified.
4 Applications
In this section we briefly illustrate how the notion of evolutionary -convergence of weak type can be applied to prove the structural compactness and structural stability of flows of the form
[TABLE]
here is a Hilbert space, and is a semi-monotone operator. This is a particular case of the class of generalized pseudo-monotone operators of Browder and Hess [5], and includes mappings of the form
[TABLE]
with continuous w.r..t. the first argument, and maximal monotone w.r..t. the second one. We refer to [19] for a more expanded outline and to [20] for a detailed presentation.
Under suitable restrictions, there exists a topology as above in Section 2, such that
[TABLE]
After defining the functional
[TABLE]
one can show that
[TABLE]
This provides a (nonstandard) variational structure of the flow, and paves the way to the use of a notion of evolutionary -convergence of weak type.
Structural compactness and structural stability. We define structural stability as robustness to perturbations of the structure of the problem, e.g. operators in differential equations. These notions have obvious applicative motivations, as data and operators are accessible just with some approximation. See e.g. [19] and [20].
Let us briefly illustrate these notions for a problem of the form , being a multi-valued operator acting in a Banach space and a datum. Given bounded families and , we formulate the stability of the problem via two properties:
(i) structural compactness: existence of convergent sequences of data and of operators (in a sense to be specified);
(ii) structural stability: if for any , , and , then is a solution of the asymptotic problem: .
Structural compactness and structural stability of minimization principles can adequately be dealt with via De Giorgi’s theory of -convergence. Next we outline how this can be extended to flows, after these have been variationally formulated as in (4.4) and (4.5).
Theorem 4.1** ([20]).**
Let be a real separable Hilbert space, and be the measure on that fulfills (2.1). Let be a sequence of normal functions such that
[TABLE]
and define the operators by
[TABLE]
Then there exists a normal function such that
[TABLE]
and such that, defining the corresponding operator as in (4.9), possibly extracting a subsequence
[TABLE]
Moreover, if does not depend on for any , then the same holds for .
This result provides the structural compactness and structural stability of flows of the form
[TABLE]
with as above, see [20]. This can also be extended to doubly-nonlinear flows, see [19].
Acknowledgment
The author is a member of GNAMPA of INdAM.
This research was partially supported by a MIUR-PRIN 2015 grant for the project “Calcolo delle Variazioni” (Protocollo 2015PA5MP7-004).
This author is indebted to Giuseppe Buttazzo, who brought Hiai’s paper [11] to his attention.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] H. Attouch: Variational Convergence for Functions and Operators. Pitman, Boston 1984
- 2[2] A. Braides: Γ Γ \Gamma -Convergence for Beginners. Oxford University Press, Oxford 2002
- 3[3] A. Braides: A Handbook of Γ Γ \Gamma -Convergence. In: Handbook of Partial Differential Equations.Stationary Partial Differential Equations, vol. 3 (M. Chipot, P. Quittner, Eds.) Elsevier, Amsterdam 2006, pp. 101 213
- 4[4] H. Brezis, I. Ekeland: Un principe variationnel associé à certaines équations paraboliques. I. Le cas indépendant du temps and II. Le cas dépendant du temps. C. R. Acad. Sci. Paris Sér. A-B 282 (1976) 971–974, and ibid. 1197–1198
- 5[5] F. Browder and P. Hess: Nonlinear mappings of monotone type in Banach spaces. J. Functional Analysis 11 (1972) 251–294
- 6[6] G. Buttazzo: Semicontinuity, relaxation and integral representation in the calculus of variations. Pitman, Longman and Wiley, New York, 1989
- 7[7] G. Dal Maso: An Introduction to Γ Γ \Gamma -Convergence. Birkhäuser, Boston 1993
- 8[8] S. Daneri, G. Savarè: Lecture notes on gradient flows and optimal transport. ar Xiv:1009.3737 v 1, 2010
