Abstract
This paper deals with the research of solutions of bounded variation (BV) to evolution inclusion coupled with a time and state dependent maximal monotone operator. Different problems are studied: existence of solutions, unicity of the solution, existence of periodic and bounded variation right continuous (BVRC) solutions. Second-order evolution inclusions and fractional (Caputo and Riemann–Liouville) differential inclusions are also considered. A result of the Skorohod problem driven by a time- and space-dependent operator under rough signal and a Volterra integral perturbation in the BRC setting is given. The paper finishes with some results for fractional differential inclusions under rough signals and Young integrals. Many of the given results are novel.
Keywords:
bounded variation; differential inclusion; maximal monotone operator; pseudo-distance; right continuous; second order; fractional derivative; fixed point MSC:
34A60; 26A33; 34H05; 34A08; 34G25; 47H10; 49J52; 49J53
1. Introduction and Preliminaries
The main objective of this paper is to present the existence theory of a class of fractional equation coupled with a time- and state-dependent maximal monotone operator with domain in a separable Hilbert space in the BV setting. Taking account of the complexity of the study, we present in Section 1 and Section 2 various new properties of the perturbed dynamic
where is a time-dependent maximal monotone operator with domain in the Hilbert space H and is a multivalued mapping. This dynamic has enjoyed intense activity, with applications in economics, mechanics, medicine, biology, etc. As a direct application, we establish in Section 3 several variants concerning the existence of periodic and bounded variation right continuous (BVRC) solution for the aforementioned differential inclusion. The perturbation of the second-order differential inclusion by a time-dependent maximal monotone operator is studied in Section 4. We continue in Section 5 with fractional equations coupled with time and state dependent maximal monotone operators in the BVRC setting. In Section 6, we present a new version of the Skorohod problem for differential inclusion driven by time and state dependent maximal monotone operator in the vein of Castaing et al. [1,2], Rascanu [3], and L.Maticiuc, A. Rascanu, L. Slominski, and M. Topolewski [4]. Let . Our aim is to find a continuous, bounded variation (BVC) function and a continuous, bounded variation function (BVC) satisfying
where the functions and are continuous and uniformly bounded, and denotes the Riemann–Stieltjes integral of continuous function with respect to , the space of continuous functions of bounded variation defined on with values in . The principal novelties are that is a time- and state-dependent maximal monotone operator, and the integral Volterra perturbation and the Young integral perturbation are considered. Section 7 is devoted to evolution problems driven by time and state dependent operators under rough signal (Young integral) with applications in optimization. We refer to Brogliato et al. [5] for a large synthesis of applications in the study of dynamic systems coupled with time and state dependent maximal monotone operators. In particular, the second-order evolution inclusions governed by time- and state-dependent maximal monotone operators arise from unilateral mechanic problems with dry friction; see [6,7,8,9]. Currently, this work is a continuation of the pioneering ones [10,11] dealing with absolute continuous solutions to the fractional differential inclusion coupled with a time and state dependent maximal monotone operator and particularly the second-order evolution inclusion. It is known that this study is a difficult one and contains as a particular case the convex sweeping process [12,13,14], namely , the normal cone of a closed convex moving set in H. In recent years, there has been intense activity around the second-order sweeping process [15,16,17,18,19,20,21,22,23,24,25]. In addition, there has been a significant development in fractional differential theory and applications; see [26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44].
Withing the BV setting, the study of differential inclusions driven by fractional equations and a time- and state-dependent maximal monotone operator under rough signal is a great novelty. We provide the existence of a BVC solution to an evolution problem driven by a time and state dependent maximal monotone operator perturbed by a rough signal with application in optimization problems. Likewise, the existence of BVRC periodic solutions in this framework is stated for the first time in the literature.
Throughout the paper, is an interval of and H is a real separable Hilbert space whose inner product is denoted by and the associated norm by .
We use the following definitions and notations. We denote by the closed unit ball of On the space of continuous maps , we consider the norm of uniform convergence on I. By for (resp. ), we denote the space of measurable maps such that (resp. which are essentially bounded) endowed with the usual norm (resp. endowed with the usual essential supremum norm ). By and , we denote the space of absolutely continuous functions from I to H with derivatives in and , respectively. If , we note for simplicity. By , we denote the set of all continuous functions in such that their first derivatives are continuous and their second derivatives belong to .
We introduce in the following the definition and some properties of maximal monotone operators needed in the proofs of our results, and we refer the reader to [45,46] for their basic theory and more details.
Let be a set-valued operator. We use classical definitions of the domain , the range , and the graph of A. We say that is monotone, if whenever , . It is maximal monotone if its graph could not be contained strictly in the graph of any other monotone operator, in this case, for all , , where stands for the identity mapping of H.
If A is a maximal monotone operator, then for every , is non-empty, closed, and convex, such that the projection of the origin into , , exists and is unique.
If the maximal monotone operator is time-dependent, it will be noted . If it is time and space dependent, it will be noted .
Let and be two maximal monotone operators; then, we denote by (see [47]) the pseudo-distance between A and B defined by
Clearly, and iff But is not a distance, since in a general case, the triangle inequality is not fulfilled.
An interesting property of is the following. If is a family of closed, convex sets for , and their normal cones, for , where denotes the Hausdorff distance.
To prove our main results, we need the following lemmas (see [48]).
Lemma 1.
Let A be a maximal monotone operator of H. If and are such that
then and .
Lemma 2.
Let , A be maximal monotone operators of H such that . Suppose also that with and with weakly for some . Then and .
Lemma 3.
Let , A be maximal monotone operators of H such that and for some , all and . Then for every , there exists a sequence such that
We finish this section with some types of Gronwall’s lemma, which are crucial for our purposes.
Lemma 4.
Let μ be a positive Radon measure on I. Let and be such that , . Let satisfying
where α is a nonnegative constant. Then
Proof.
This lemma is due to M.M. Marques. For a proof, see, e.g., ([49], Lemma 2.1). □
Lemma 5.
Let μ be a non-atomic positive Radon measure on the interval I. Let c, p be nonnegative real functions such that , and let . Assume that for
Then, for
The proof (see [50], Lemma 2.7, or [51], Lemma 4, taking ) is not a consequence of the classical Gronwall lemma dealing with Lebesgue measure on I. It relies on a deep result of Moreau–Valadier on the derivation of (vector) functions of bounded variation [52]. Let us recall Schauder’s fixed point theorem [53].
Theorem 1.
Let C be a non-empty closed bounded convex subset of a Banach space E and let be a continuous mapping. If is relatively compact, then f has a fixed point.
For the sake of completeness, we give a result about the existence of BVRC solutions for an evolution inclusion with time-dependent m-accretive operator. Its proof is given in [54]. Let E be a separable Banach space and let denote the closed convex weakly locally compact class which contains no line ([55]).
Theorem 2.
Let . Let be a time-dependent m-accretive operator satisfying ; there exists a nonnegative real number c such that
has right closed graph, , and for each , for each , the set is relatively compact, and in short, is ball-compact.
is scalar upper semicontinuous: for , for with and ,
There exists a non-decreasing and right continuous function such that with the Stieltjes measure such that, for , for and
Let be a convex weakly compact valued mapping such that:
- (i)
- F is scalarly -measurable, that is, for each , the scalar function is -measurable;
- (ii)
- For each , is scalarly upper semicontinuous, that is, for each , the scalar function is upper semicontinuous on E;
- (iii)
- for all for some positive constant M.
Let and let be the density of λ relative to the measure ν. Then for all , the evolution problem
admits a BVRC solution u with , that is, there exists a BVRC mapping and a Lebesgue-integrable mapping such that
We now provide two corollaries of Theorem 2 which will be useful in the following.
Corollary 1.
Let be a time-dependent m-accretive operator satisfying , , , . Let such that:
- (i)
- is -measurable on I for all ;
- (ii)
- is continuous on E for all ;
- (iii)
- for all .
Let and let be the density of λ with respect to the measure ν. Then for all , the evolution problem
admits at least a BVRC solution u with , that is, there exists a BVRC function such that
Corollary 2.
Let be a time-dependent maximal monotone operator satisfying , , , . Let such that
- (i)
- is -measurable on I for all ;
- (ii)
- for all ;
- (iii)
- for all ,
For some constant , let and let be the density of λ relative to the measure ν. Assume further that there is such that , . Then for all , the evolution problem
admits a unique BVRC solution u with , that is, there exists a unique BVRC function such that
Proof.
We need only to prove the uniqueness. Suppose that there are two BVRC solutions u and v:
By the monotonicity of , we obtain
and by the Lipschitz condition on ,
Then, u and v are bounded variation and right continuous and have the density and relative to , by a result of Moreau concerning the differential measure [56], is BVRC and we have
such that, by integrating on and using the above estimate, we obtain
According to the assumption and using Grownwall’s Lemma 4, we deduce from the last inequality that in I. This completes the proof. □
2. Existence of BVRC Solution to Differential Inclusion with Time-Dependent Maximal Monotone Operator and Perturbation
We present a specific study on the existence of bounded variation right continuous (BVRC) solutions in a separable Hilbert space H to the inclusion of the form
where , is a maximal monotone time-dependent operator satisfying some conditions and the perturbation F is a convex weakly compact-valued -measurable such that is upper semicontinuous and satisfying some growth condition.
First, we fix some notations and preliminary facts. Let a positive Borel regular measure (alias Radon measure) on and let us denote by the space of -measurable and -integrable mappings . If g is a positive -measurable and -integrable, then the set
is convex and weakly compact; in particular, the set
where M is a positive constant, is convex and weakly compact. In most usual applications, is the Lebesgue measure on I and
where is the -algebra of Lebesgue sets in I.
Our results are proved using the following assumptions for the operators :
There exists a nonnegative real number c such that for all .
, for all where is non-decreasing right continuous on I with .
, for all where is non-decreasing continuous on I with .
is boundedly compactly measurable, in the sense that there is a convex compact-valued Borel -measurable mapping such that for all where is a positive -integrable function.
is ball-compact.
is convex compact and .
has right closed graph, .
has closed graph, .
Lemma 6.
Assume that for every , is a maximal monotone operator satisfying and . Let and .
Then the evolution inclusion
admits a unique BVRC solution, in the sense that there is a positive Radon measure ν on I, a BVRC mapping satisfying
where is the density of the measure μ with respect to the measure ν, and is the density of the differential measure with respect to the measure ν.
Moreover, one has the estimate
where L is a positive constant depending on , and M.
Proof.
Consider, for every , the operator defined by
and
It is clear that for each , is a maximal monotone operator. Let us show that is of BVRC in variation. Let , , , , and .
We have
then
and
where . On the other hand, for every and we have
Consequently, all the hypotheses of Theorem 3.1 in [48] are verified with the operator , where the measure is replaced by the Radon measure ; then we conclude the existence of a unique BVRC solution to the problem
with , and the density of the differential measure with respect to the measure satisfies , where K is positive constant depending on . Set . Then u is BVRC with and the density of with respect to the measure satisfies
where is the density of the measure with respect to the measure so that
with the estimate
This completes the proof. □
Remark 1.
The proof of Lemma 6 uses a technique due to Azzam-Boutana ([57], Theorem 4) dealing with absolutely continuous in variation. Actually, the tool is constructive and allows us to give a precise sense of BVRC solution to the inclusion
Indeed, given and , let us consider the Radon measure . Then is absolutely continuous with respect to the measure and let be the density of the measure with respect to the measure . Then by the proof of Lemma 6, there is a unique BVRC solution to the inclusion
with initial condition and required estimation. So it amounts to saying that a mapping u is a solution to the above inclusion with perturbation f meaning that u is BVRC and the couple satisfies the above inclusion. And so this allows us to give the definition of the solution to the inclusion with and perturbation .
By the solution of , it amounts to finding a pair where is BVRC and such that and such that
Lemma 7.
Assume that for every , is a maximal monotone operator satisfying , and .
Let be a -measurable convex weakly compact-valued mapping with for all , where M is a positive constant and let
be the set of all -measurable and μ-integrable selections of X. Then the BVRC solution set to the inclusion
is sequentially compact with respect to the pointwise convergence.
Proof.
Carefully apply the results and notations of Lemma 6. First we note that is convex weakly compact in . For each , consider for every , the operator defined by
and
It is already seen that for each , is a maximal monotone operator satisfying the conditions for all , for some positive constant d, and the operators G are equi-BVRC in variation:
where . Then by ([48], Theorem 3), we assert the existence of a unique BVRC solution to the problem
with , and the density of the differential measure with respect to the measure satisfies , a.e. where K is positive constant depending on . Set . Then is BVRC with and the density of of the differential measure with respect to the measure satisfies
such that
with the estimate
This shows that the BVRC solution set of the inclusion
is non-empty and satisfies the conditions (3) and (4). Let be a sequence in . We have to prove that there is a (not relabeled) subsequence that converge pointwise to a with . First by weak compactness, we may assume that weakly converges in to g with for all such that weakly converges to in . Furthermore, since is bounded in norm and in variation, and is ball-compact (cf , by the Helly principle [58], we may ensure that converges pointwise to a BVRC function u. So we may ensure that with weakly in . As weakly in . We may assume that Komlos converges to . Further, we note that for all . It is clear that is bounded, and hence relatively weakly compact. By applying Lemma 2 to and to a weakly convergent subsequence of to show that , it remains to establish the main fact,
There is a -negligible set N such that
Let . Let . From (5)
and by monotonicity
From (6), we deduce that
Passing to the limit when , this last inequality (7) immediately gives
As a consequence, by Lemma 1, we obtain , with for all . The proof is complete. □
Lemmas 6 and 7 are important for our purposes.
Theorem 3.
Assume that for every , is a maximal monotone operator satisfying , and . Let be a -measurable convex weakly compact-valued mapping with for all , where M is a positive constant, and let
be the set of all -measurable and μ-integrable selections of X.
Let be a convex weakly compact-valued mapping satisfying:
- (i)
- for all , where M is a positive constant;
- (ii)
- For every , the mapping is -measurable;
- (iii)
- For every , for every , the mapping is upper semicontinuous.
Then the BVRC solution set to the inclusion
is sequentially compact with respect to the pointwise convergence.
Proof.
We make explicit the notion of BVRC solutions and prove first the existence according to the above results.
Step 1. For each , let us define
where is the unique BVRC solution (see Lemma 6) to the inclusion
By –, it is clear that is nonempty with because of condition . In fact, is the set of -selections of the convex weakly compact-valued scalarly -measurable mapping by noting that is BVRC right continuous, then is Borel, i.e., -measurable; hence, by , is -measurable. Clearly, if g is a fixed point of (), then is a BVRC solution to the inclusion under consideration:
Now we show that is a convex -compact-valued upper semicontinuous mapping. By weak compactness, it is enough to show that the graph of is sequentially -compact. Let such that
-converges to ,
-converges to .
We need to show that . By virtue of Lemma 7, it is already known that the set of solutions to
is sequentially compact with respect to the pointwise convergence. Hence, we may assume that converges pointwise to . Since ,
holds in I, for every -measurable and for every . Thus, by integrating
it follows that
Whence we obtain
for every -measurable . Consequently,
By the separability of H and by ([55], Prop. III.35), we obtain
Applying the Kakutani–Ky Fan fixed point theorem to the convex weakly compact-valued upper semicontinuous mapping shows that admits a fixed point, , thus proving the existence of at least one BVRC solution to our inclusion.
Step 2. Compactness follows easily from the above arguments and the pointwise compactness of given Lemma 7. □
The following result has some importance in further applications
Corollary 3.
Assume that for every , is a maximal monotone operator satisfying , and .
Let satisfying:
- (i)
- for all ;
- (ii)
- for all ;
- (iii)
- for all , for some constant .
Let .
Assume further that there is such that , .
Then there is a unique BVRC solution to the problem
Proof.
Existence follows from Theorem 3. The proof of uniqueness is carried out in a similar way to that of Corollary 2. □
3. Towards the Existence of BVRC Periodic Solution
Proposition 1.
Assume that for every , is a maximal monotone operator satisfying , and .
Let satisfying:
- (i)
- for all ;
- (ii)
- for all ;
- (iii)
- for all , for some constant .
Let .
Assume further that there is such that , .
Then there is a unique BVRC periodic solution to the problem
Proof.
Existence of BVRC solution follows from Theorem 3.
Uniqueness: The demonstration takes place with necessary adaptations similarly to that of Corollary 2.
Periodicity: Let and be two BVRC solutions to the problem under consideration, that is,
By repeating the previous calculus and applying again Gronwall’s Lemma 4, we have
in particular,
This shows that the mapping is a Lipschitz mapping from into . Since is convex compact, by the Schauder fixed point theorem, there exists at least one such that . This provides us a BVRC periodic solution to . □
There is a direct application to the sweeping process.
Proposition 2.
Let be a closed convex-valued mapping satisfying
for all , where is non-decreasing continuous on I with .
is compact and ;
Let satisfying:
- (i)
- is -measurable on I;
- (ii)
- for all ;
- (iii)
- for all , for some constant .
Let .
Assume further that there is such that , .
Then there is a unique BVRC periodic solution to the problem
The following result deals with another class of time-dependent maximal monotone operator [54].
Proposition 3.
Let be a time-dependent maximal monotone operator satisfying , , and and of Theorem 2.
Let such that:
- (i)
- is -measurable on I for all ;
- (ii)
- for all ;
- (iii)
- for all , for some constant .
Let and let be the density of λ relative to the measure ν. Assume further that there is such that , .
Then, for all , the evolution problem
admits a unique BVRC periodic solution u with , that is, there exists a BVRC function such that
Proof.
Existence of the BVRC solution follows from Theorem 2. We need only to prove the uniqueness.
Uniqueness: Let u and v be two BVRC solutions to the problem under consideration, that is,
By the monotonicity of , we obtain
Equivalently,
By hypothesis ,
On the other hand, we know that u and v are BVC and have the densities and relative to ; due to a result of Moreau concerning the differential measure [56], is BVC and we have
such that by integrating on with respect to the measure and using the above estimate, we obtain
that is,
According to the assumption , and using Grownwall’s Lemma 4, we deduce from the last inequality that in I.
Periodicity: Let and be two BVRC solutions to the problem under consideration, that is,
By repeating the above argument, we have
such that again by Gronwall’s Lemma 4,
such that
This shows that the mapping is a Lipschitz mapping from into . Since is convex compact, by the Schauder fixed point theorem, there exists at least one such that . This provides us a BVRC periodic solution to . □
Most cases of the BVRC periodic solution given here are new. Several variants dealing with absolutely continuous or BVC periodic solutions are available. For the sake of brevity, we omit the details. However, it is worth mentioning that indealing with the uniqueness of a BVRC solution, a special condition is required.
4. Second-Order Problem with Perturbation of the BVRC Setting
Now we study some second-order evolution inclusions driven by a time- and state-dependent maximal monotone operator in the bounded variation right continuous setting. The interest in studying second-order evolution problems is motivated by their applications; see the large synthesis by Brogliato et al. [5], particularly dry friction in mechanics [8,9].
Let and let H be a separable Hilbert space. We state the existence of a second-order evolution driven by a time- and state-dependent maximal monotone operator in the bounded variation right continuous setting. In the remainder of the work, denotes the Stieltjes measure associated with a non-decreasing right continuous function with . The following assumptions are used for obtaining our results.
for all , for some positive constant c.
, for all and for all , where is non-decreasing right continuous on I with .
, for all and for all , where is non-decreasing continuous on I with and .
is boundedly compactly measurable, in the sense of (i) and (ii):
- (i)
- for all where is a positive -integrable function;
- (ii)
- for any bounded subset , there is a compact-valued Borel-measurable mapping such that for all .
Theorem 4.
Let be a maximal monotone operator satisfying , and .
Let be such that for every , the mapping and for every , the mapping is continuous on and satisfies:
- (i)
- for all ;
- (ii)
- for all ,
for some nonnegative constant M.
Let and . Assume further that there is such that , where is the density of the measure μ with respect to the measure ν.
Then, for any there exists an absolutely continuous and a BVRC with density with respect to ν, such that
Proof.
Let
Then is closed convex using the weak compactness of the convex weakly compact-valued integral and equi-absolutely continuous. For each , the time-dependent maximal monotone operator is equi-BVRC in variation:
for all where . Let us set where is the Stieljies measure associated to the non-decreasing right continuous function . Let us denote by the density of the measure with respect to . By applying Corollary 3, where is replaced by , with replaced by , for any , there is a unique BVRC solution to
with for all and -a.e. The existence and uniqueness of such a solution is ensured by Corollary 3. Indeed, for any fixed , the mapping satisfies for all , for all , , for all . Now for each , let us consider the mapping
Then it is clear that because by , for all . We are going to show the main fact where is convex compact in with
But this last set is convex compact in , e.g., [59]. Our aim is to prove that is continuous in order to obtain the existence theorem by a fixed point approach. This needs a careful look using the estimate of the BVRC solution given above. It is enough to show that, if converges uniformly to h in , then the sequence of BVRC solutions associated with
converges pointwise to the BVRC solution associated with h
As is bounded in variation since , for with , for all , it is relatively compact by the Helly principle [58]; we may ensure that converges pointwise to a BV mapping . As , for , u is BVRC with and . Now, since for all , and , we may assume that converges weakly in to with , so that by identifying the limits
we obtain
hence, and weakly converges to in , so we may assume that it Komlos converges to .
It is clear that pointwise. Hence,
in . Hence, we may assume that Further, we note that for all . Indeed, we have . It is clear that is bounded, hence relatively weakly compact. By applying Lemma 2 to and to a convergent subsequence of to show that , there is a -negligible set N such that
Let . Let . Apply Lemma 3 to and to find a sequence such that . From
by monotonicity,
From
let us write
so that
Passing to the limit using , this last inequality immediately gives
As a consequence, by Lemma 1, we obtain , a.e. with for all , so that by uniqueness, . Consequently, for all ,
and since and is pointwise bounded : , we conclude by the Lebesgue theorem that
such that in . Since is continuous with , by the Schauder theorem, has a fixed point, say , which means
□
We present a study of second-order differential equation with m-point boundary conditions coupled with a time-dependent maximal monotone operator. For the sake of completeness, we recall and summarize some results developed in [60].
Lemma 8.
Assume that H is a separable Hilbert space and . Let , , be an integer number, and satisfying the condition
Let be the function defined by
where
and
Then the following assertions hold:
- (i)
- For every fixed , the function is right derivable on and left derivable on .
- (ii)
- and satisfieswhere
- (iii)
- If with and , thenwhere
- (iv)
- Let and let be the function defined byThen we haveFurther, the function is derivable on and its derivativewhere
- (v)
- If , the function is scalarly derivable, and its weak derivative satisfies
The following is a direct consequence of Lemma 8.
Proposition 4.
Let . The m-point boundary problem
has a unique -solution , with integral representation formulas
where
The following result is crucial for our purposes. For the sake of brevity, we omit the proof; one can find the details in Theorem 5.1 of [60].
Proposition 5.
With the hypotheses and notations of Proposition 4, let H be a separable Hilbert space and let be a measurable convex compact-valued and integrably bounded mapping. Then the solution set of -solutions to
is bounded, convex, equicontinuous, and compact in .
Now comes an existence result with a second-order differential inclusion with m-point boundary condition coupled with a time-dependent maximal monotone operator with Lipschitz perturbation.
Theorem 5.
Let . Let be a maximal monotone operator satisfying , and .
Let be such that for every , the mapping and for every , the mapping is continuous on and satisfies:
- (i)
- for all ;
- (ii)
- for all ,
for some nonnegative constant M.
Let .
Assume further that there is such that , where is the density of the measure μ with respect to the measure ν.
Then there is a mapping and a BVRC mapping satisfying
Proof.
Let be the solution set to the second-order differential inclusion with m-point boundary conditions
Then by Proposition 5, is convex compact in . Let us set where is the Stieljies measure associated to the nondecreasing right continuous function r. Let us denote by the density of the measure with respect to . By applying Corollary 3 for any , there is a unique BVRC solution to
with for all and -a.e. Now for every , let us set
Then it is clear that because by for all . We claim that is continuous. For this purpose, by repeating the arguments given in the proof of Theorem 4 or Lemma 7 via the Komlos argument, we show that if in , then the BVRC solution associated with to
converges pointwise to the BVRC solution associated with h to
As , we conclude via the estimation in Lemma 8 that such that in .
Since is continuous, has a fixed point, say , which means
By Lemma 8, this means
The proof is complete. □
The following is a variant dealing with a new class of time-dependent maximal monotone operator (see Theorem 2).
Theorem 6.
Let . Let be a time-dependent maximal monotone operator satisfying , , and , of Theorem 2.
Let be such that for every , the mapping and for every , the mapping is continuous on and satisfies
- (i)
- for all ;
- (ii)
- for all ,
for some nonnegative constant M. Let and let be the density of λ relative to the measure ν.
Assume further that there is such that , where is the density of the measure with respect to the measure ν.
Then there is a mapping and a BVRC mapping satisfying
Proof.
We repeat the proof of the preceding theorem with careful modifications.
Let be the solution set to the second-order differential inclusion with m-point boundary conditions
Then by Proposition 5, is convex compact in . Let us set , where is the Stieljies measure associated to the nondecreasing right continuous function r and is the Lebesgue measure on I. Let us denote by the density of the measure with respect to . By applying Corollary 2 for any , there is a unique BVRC solution to
with for all and where K is a positive generic constant. Now for every , let us set
Then it is clear that because by for all . We claim that is continuous. For this purpose, by repeating the Komlos arguments, we show that if in , then the BVRC solution associated with to
converges pointwise to the BVRC solution associated with h to
As is bounded in variation, since , for with , for all , it is relatively compact by the Helly principle [58], and we may ensure that converges pointwise to a BV mapping . As , for , u is BVRC with a.e. and . Now, since for all , and , we may assume that converges weakly in to with a.e. so that by identifying the limits,
we obtain
hence, and weakly converges to in , so we may assume that it Komlos converges to . It is clear that pointwise. Hence,
weakly in . Hence, we may assume that
Komlos. Further, we note that for all . There is a -negligible set N such that
Let . Let . From
by monotonicity
From
let us write
so that
Passing to the limit using , this last inequality immediately gives
As a consequence, by Lemma 1, we obtain , a.e. with for all so that by uniqueness . As we conclude via the estimation in Lemma 8 that so that in .
Since is continuous, has a fixed point, say , which means
By Lemma 8, this means
The proof is complete. □
A variant of Theorem 5 dealing with continuous bounded variation (BVC) solutions is available.
Theorem 7.
Let H be a separable Hilbert space. Let, for every , be a maximal monotone operator satisfying , and .
Let be a continuous mapping satisfying
- (i)
- (ii)
for some positive constant M.
Then for , there is a BVC mapping , and a BVC mapping satisfying
with the property for all for some constant .
Proof.
This is similar to the proof of Theorem 5, using Theorem 3.1 of [50]. □
5. On Fractional Differential Inclusions
5.1. On a Riemann–Liouville Fractional Differential Inclusion Coupled with Time- and State-Dependent Maximal Monotone Operators
In this subsection, we present a concrete version of the existence of solutions to a fractional differential inclusion (FDI) coupled with a time- and state-dependent maximal monotone operator in the vein of [10,32]. We begin with some preliminary facts.
Definition 1.
(Fractional Bochner integral) Let . The fractional Bochner integral of order of the function f is defined by
In the above definition, the sign “∫” denotes the Bochner integral.
Definition 2.
Let . We define the Riemann–Liouville fractional derivative of order of f by
where .
We refer to [38,39,42] for the general theory of Fractional Calculus and Fractional Differential Equations.
We denote by the space of all continuous functions in such that their Riemann–Liouville fractional derivatives of order are continuous and their Riemann–Liouville fractional derivatives of order are Bochner-integrable.
We recall and summarize some useful results in [32].
Lemma 9.
Let , and . Then the mapping defined by
is the unique -solution to the (FDI)
Lemma 10.
Let . Let be a convex compact-valued measurable and integrably bounded multimapping. Then the -solution set to the fractional differential inclusion (FDI)
is bounded, equicontinuous, compact in endowed with the topology of uniform convergence. Furthermore the -solution set is characterized by
Now comes an existence result to an FDI coupled with a time and state dependent maximal monotone operator.
Theorem 8.
Let and . Assume that for any , is a maximal monotone operator satisfying , and .
Let be such that for every , the mapping and for every , the mapping is continuous on and satisfies
- (i)
- for all ;
- (ii)
- for all ,
for some nonnegative constant M.
- (A)
- Then the bounded closed convex subset in the Banach space defined byis equi-K-Lipschitz.
- (B)
- Let , for all and let .Assume further that there is such that , .Then there is a mapping and a BVRC mapping satisfying
Proof.
(A) Let us consider the bounded closed convex subset in the Banach space defined by
We note that is equi-Lipschitz (cf. Lemma [32]). Indeed, for any , denotes the convex weakly compact-valued integrably bounded mapping , and for any , we have
with such that
where and .
(B) For any , the time-dependent maximal monotone operator is equi-BVRC in variation: For all , we have by
where . So is non-decreasing right continuous on I with . Further, by , we have
for all , where d is a positive generic constant, because , which is is uniformly bounded. Further, each satisfies for all , and for all . So by virtue of Corollary 3, for every , there is a unique BVRC solution to
where is the density of the differential measure with respect to the measure . For each h, let us set
Then it is clear that , because by for all where is a compact-valued Borel-measurable mapping. We note that , where is convex compact in :
Now we check that is continuous. It is sufficient to show that, if uniformly converges to h in , then the BVRC solution associated with
converges pointwise to the BVRC solution associated with h
by repeating the machinery given in the proof of Theorem 4 via the Komlos argument. As is bounded in variation, since , for where R is a positive generic constant, with , for all , it is relatively compact by the Helly principle [58], and we may assume that converges pointwise to a BV mapping . As , for , and u is BVRC with and . Now, since for all , and , we may assume that converges weakly in to with a.e. so that by identifying the limits
we obtain
hence, and weakly converges to in and so weakly converges to in , so by repeating the monotonicity and Komlos arguments given in Theorem 4, we have and , so that by uniqueness. Since is continuous with , by the Schauder theorem, has a fixed point, say . This means that
with
Coming back to Lemma 10 and applying the above notations, this means that we have just shown that there exists a mapping satisfying
□
Our tools allow us to treat other variants by considering other classes of FDI given in [10,30,31,32,60].
5.2. On a Caputo Fractional Differential Inclusion Coupled with Time- and State-Dependent Maximal Monotone Operators
We study an example of a Caputo fractional differential inclusion coupled with a time- and state-dependent maximal monotone operator. For the sake of completeness, we recall some needed properties for the fractional calculus and provide a series of lemmas on the fractional integral. Throughout, we assume .
Definition 3.
The Caputo fractional derivative of order of a function , is defined by
Here and denotes the integer part of γ.
Denote by
where is the derivative of u,
where and are the fractional Caputo derivatives of order and of u, respectively. We recall and summarize some properties of a Green function given in [30] that is used in the statement of the problem under consideration.
Lemma 11.
Let be a function defined by
Then the following assertions hold:
- (i)
- Let and let be a function defined byThen the following hold:
- (ii)
- Assume that u is a -solution towhere ; then with .
We recall and summarize a crucial lemma (Lemma 3.5 [30]).
Lemma 12.
Let be a convex weakly compact-valued measurable mapping such that . Then the -solution set to the FDI
is bounded, convex, equicontinuous, weakly compact in the Banach space and equi-Lipschitz.
Now comes an existence result with a Caputo fractional differential inclusion coupled with a time- and state-dependent maximal monotone operator.
Theorem 9.
Let . Let be a maximal monotone operator satisfying , and .
Let be such that for every , the mapping and for every , the mapping is continuous on and satisfies:
- (i)
- for all ;
- (ii)
- for all ,
for some nonnegative constant M.
- (A)
- Then the bounded closed convex subset of -solutions to the FDI:is equi-K-Lipschitz in the Banach space .
- (B)
- Let , for all and let .Assume further that there is such that , .Then there is a mapping and a BVRC mapping satisfying
Proof.
The proof is omitted. It is sufficient to repeat the proof of the previous theorem with careful modifications using the properties of the Caputo fractional inclusion. □
6. Skorohod Problem
By using the above techniques we obtain a fairly general version of Skorohod problem involving time et state dependent maximal monotone operator in the BVC setting.
Theorem 10.
Let and . Let be a maximal monotone operator satisfying and .
Let be the space of continuous functions of bounded variation defined on I with values in . Let be the space of linear mappings f from to endowed with the operator norm
Let us consider a class of continuous integrand operators satisfying
- (a)
- ;
- (b)
- ,
where M is . We note the perturbed Riemann–Stieljies integral of against z with .
Let be a continuous mapping satisfying:
- (c)
- for all ;
- (d)
- ,
for all .
Let us set and let be the Stieltjes measure associated with ρ. Let .
Then there exists a BVC function and a BVC function satisfying
where is the density of the differential measure with respect to the measure .
Proof.
Let . Let us set for all
then by Proposition 2.2 in Friz-Victoir [61], we have
Moreover
so that by condition (a)
for all and in particular
for all . Further, we have
so that with our notation
for all where is a non-decreasing continuous function with . Let us set for all
then is continuous with for all . By an easy computation, , for all . Taking account of (14), by Theorem 3.1 ([50]), there is a unique BVC mapping solution of the problem
with for all where K is positive constant depending on the data (cf. Theorem 3.1 in [50] for details). Set
Then is BVC with . Now we construct by induction as follows. Let for all
By Proposition 2.2 in Friz-Victoir [61], we have the estimate
for all and in particular
for all . Further, we have
so that with our notation
for all . Further, satisfies , for all with for all . Again, by Theorem 3.1 ([50]), there is a unique BVC mapping solution of the problem
with for all . Set for all
so that is BVC, and
As is equicontinuous and for all , , we may assume that converges uniformly to a BVC mapping with and for all . Now, recall that
for all . So is bounded and equicontinuous. By the Ascoli theorem, we may assume that converges uniformly to a continuous mapping h. Similarly, is bounded and equicontinuous: , for all . By the Ascoli theorem, we may assume that converges uniformly to a continuous mapping k. Hence, converges uniformly to , and converges uniformly to using the Lipschitz condition (b). Then by Friz-Victoir [61] (Proposition 2.7), converges uniformly to . By hypothesis , converges pointwise to . Hence, for each by the Lebesgue theorem. So by identifying the limit
Further, we note that for all . Indeed we have . It is clear that is bounded. By applying Lemma 2 to and to a convergent subsequence of to show that , it remains to check that
As for all , we have such that with weakly in . We use Komlos’s trick to finish. For convenient notation, let
Then weakly converges in to z.
We will show that
Since weakly in , we may assume that Komlos converges to . Further, we note that for all . Indeed we have . It is clear that is bounded, hence relatively compact. By applying Lemma 2 to and to a convergent subsequence of to show that , there is a -negligible set N such that
Let . Let . Apply Lemma 3 to and to find a sequence such that . From
by monotonicity
From
let us write
so that
Passing to the limit using , this last inequality immediately gives
As a consequence, by Lemma 3 we obtain , a.e. with for all . The proof is therefore complete. □
In Theorem 10, we present a new result for the Skorohod problem (SKP) driven by a time- and state-dependent operator under rough signal and Volterra integral perturbation in the BVC setting. So it has several novelties and our tools allow us to state several variants of Theorem 10 according to the nature of the perturbation and the operator. It is a challenge to obtain the uniqueness. Nevertheless, some uniqueness results are discussed below. In this setting, our result is quite new by comparison with some classical integral equations existing in the literature.
Proposition 6.
Let and . Let be a closed convex-valued mapping satisfying , for all , where is non-decreasing continuous with .
Let be a continuous mapping satisfying for all and , for all .
Let μ be a probability nonatomic Radon measure on I and let . Let . Then there exists a BVC function and a BVC function satisfying
where is the density of of the differential measure with respect to the measure ν. The BVC solution is unique
.
Proof.
From , we have for all . Let us set . Then . Hence, the existence follows by repetition of the arguments given in Theorem 10, with replaced by . Now we prove unicity of the BVC solution . Assume that and are two solutions with
By our construction, it is easily seen that are BVC. By monotonicity, we have
On the other hand, since x and are BVC and have the densities and relative to the measure , by a result of Moreau concerning the differential measure [56], is BVC and we have
so that by integrating on we obtain
We have
so that
By applying Gronwall’s Lemma 5, we conclude that . Then and and the proof is complete. □
In this vein, some more uniqueness of solutions is available using specific Gronwall lemmas. However, the uniqueness solutions to the sweeping process with perturbation is an open question, although existence is ensured. We refer to [2] for some problems of uniqueness related to the sweeping process perturbed by rough signal. Also, related (SKP) problems for the sweeping process are developed in [1,62] with the existence and uniqueness of solution.
7. Fractional Differential Inclusion/Evolution Inclusion under Rough Signals and Young Integrals: The BVRC Setting
Let be the space of bounded variation continuous mappings defined on with values in . We recall some notations. By we denote the space of linear mappings from to endowed with the operator norm
Let . A map is a control function on [0, T] if is continuous, superadditive [61] and for . An example of a control function is for , or where is a positive Lebesgue integrable function.
Let us consider the class of continuous integrand operator satisfying the conditions
where is a control function on and M is a positive constant. If a set of continuous mappings from into is controlled by a control function : for all , for all , then the set of mappings from into is uniformly bounded and uniformly bounded in variation, in particular . Indeed, we have
with and for all so that using Proposition 1.11 [61], , . Consequently the Young integral along z is well-defined and belongs to , and according to Friz-Victoir Theorem 6.8 [61], we have the following estimates:
for all with and
for all . As consequence, we see that the set of mappings
in is uniformly bounded, and by the continuity of , since and is also equicontinuous; further, it is additionally uniformly bounded in variation. Altogether, is uniformly bounded, equicontinuous, and uniformly bounded in variation. When is compact and equi-Lipchitz, then is compact with respect to the topology uniform convergence.
Theorem 11.
Let . Assume that for every , is a maximal monotone operator satisfying and .
Let and .
Let be a continuous mapping satisfying:
- (i)
- for all .
- (ii)
- for all .
Let . Assume further that there is such that , .
Assume that .
Then for any , there exists a mapping and a BVRC mapping satisfying the dynamic with rough signal
Let be a lower semicontinuous integrand such that is convex on for every . Then the problem of minimizing the cost function subject to
has an optimal solution.
Proof.
For any continuous mapping , , by Corollary 3, there is a unique BVRC solution to the differential inclusion
with uniformly bounded and equi-BVRC:
for some constant . So one has for all for some constant K for all continuous functions g. Now let us consider the set defined by
each mapping being given for every by
where G is the Green function ([10], Lemma 8). We note that is convex compact and equi-Lipschitz ([10], Theorem 3): , where N is a positive constant. Then for any , using and ,
so that for any , ) with by . In particular, the integral has a meaning for all with uniformly bounded in variation. As consequence, it was stated that
is compact in . For each , let us set (again with the above Green function G)
where is a unique BVRC solution to the differential inclusion
Then it is clear that . Now we check that is continuous relative to . It is enough to show that, if converges uniformly to h in , then the sequence , where each is the unique BVRC solution of the differential inclusion
converges pointwise to the unique BVRC solution of the differential inclusion
This requires careful examination. Since is equi-BVRC for each , the estimate
we may suppose that converges pointwise to a BVRC mapping : and we may assume that weakly converges to in with , so for every we have, as ,
Keeping in mind that for all , we show that w is the solution of the differential inclusion
by applying the Komlos argument.
Now let us write by ([10], Lemma 8)
Since on I as , we deduce that
which entails that uniformly on I, as desired. Then is continuous; hence, by the Schauder theorem, has a fixed point, say . This means that for every
with
According to ([10], Lemma 9), this means that we have just shown that there exists a mapping satisfying
Let be a mimimizing sequence in this FDI/EVI, namely
At first, by compactness of the solution set in the FDI, there is a subsequence not relabelled in converging uniformly to . Second, by compactness of the solution set in the evolution inclusion
there is a subsequence not relabelled such that converges pointwise to a BVRC mapping u with weakly in . By compactness of
we may ensure that uniformly. So by repeating the above argument, we are ensured that u satisfies the inclusion
From
this inclusion is equivalent to
again with the Green function considered before. Therefore, by passing to the limit, in this equality, we obtain
Altogether, we see that satisfies the dynamic
According to the lower semicontinuity of the integral functional (see Theorem 8.16 [63]), we obtain
We see that the pair is an optimal solution. □
There is a great novelty in dealing with the dynamic system R.L fractional differential inclusion/evolution inclusion with rough signal in the BVRC setting. In case of the dynamic Caputo fractional differential inclusion/evolution inclusion with rough signal, we provide the variant below.
Theorem 12.
Let . Assume that for every , is a maximal monotone operator satisfying , and is closed.
Let and .
Let be a continuous mapping satisfying:
- (i)
- for all .
- (ii)
- for all .
Let .
Assume further that there is such that , .
Assume that .
Then for any , there exists a mapping and a BVRC mapping satisfying to the dynamic FDI/ EVI with rough signal
Let be a lower semicontinuous integrand such that is convex on for every . Then the problem of minimizing the cost function subject to
has an optimal solution.
Proof.
The proof is omitted. It is sufficient to repeat the proof of the previous theorem with suitable modifications using the properties of the Caputo fractional inclusion given in Theorem 9. □
Direct applications to the convex sweeping process are available.
8. Conclusions
We have established, in the BV frames, existence and uniqueness results for dynamical systems of fractional equations coupled with time- and state-dependent maximal monotone operators, in particular the BV solution for a second order of evolution inclusion with application to the convex sweeping process. The existence of BVRC periodic solutions is stated for first time in the literature. Our results are strong and contain novelties. However, there remain several issues that require further development, for instance, the Skorohod problems, by considering the case when the moving set is not convex. We also have to develop the study of evolution inclusions in the context of unbounded perturbations. In most of the presented settings, the existence of solutions is established, but the question of uniqueness is an open question, particularly with unbounded perturbations in Skorohod, rough signal, Volterra, or Young integral settings. An extension to the stochastic framework could also be considered.
Author Contributions
Conceptualization, C.C., C.G.-T. and M.D.P.M.M.; Methodology, C.C., C.G.-T. and M.D.P.M.M.; Validation, C.C., C.G.-T. and M.D.P.M.M. All authors contributed equally to this work and have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
Data are contained within the article.
Acknowledgments
The authors would like to express their thanks to the reviewers for their helpful comments and advice.
Conflicts of Interest
The authors declare no conflicts of interest.
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