Differential inclusion systems with fractional competing operator and multivalued fractional convection term
Abstract
In this work, the existence of solutions (in a suitable sense) to a family of inclusion systems involving fractional, possibly competing, elliptic operators, fractional convection, and homogeneous Dirichlet boundary conditions is established. The technical approach exploits Galerkin’s method and a surjective results for multifunctions in finite dimensional spaces as well as approximating techniques.
Keywords: Differential inclusion system, fractional competing operator, fractional convection, Dirichlet boundary condition, generalized solution, Galerkin’s method.
MSC 2020: 35H30, 35J92, 35D30.
1 Introduction
Let be a bounded domain in , , with a smooth boundary , let , and let be two compact convex-valued multifunctions. Consider the differential inclusion system
(1.1) |
where
-
and for each .
The symbol , with and , denotes the fractional -Laplacian, defined by setting, provided is smooth enough,
with . When it becomes the classical -Laplacian, namely
Moreover, indicates the distributional Riesz fractional gradient of in the sense of [19, 20]. If appropriately decays and is sufficiently smooth then, setting
one has [20, pp. 289 and 298]
The right-hand sides and satisfy the conditions below, where, to avoid cumbersome formulae, we shall write
(1.2) |
-
is measurable on for all and is upper semi-continuous for a.e. .
-
There exist , , , such that
a.e. in and for all .
-
There are , , , fulfilling
a.e. in and for all , .
The involved differential operators are of the type
where , , , while convection comes from the presence of fractional gradients at right-hand sides. exhibits different behaviors depending on the values of . Precisely, if , then , Problem (1.1) falls inside the local framework, and has been already investigated in some recent works; see, e.g., [9] for single-valued reactions and [18, 4] as regards multi-valued ones. Moreover, the nature of drastically changes depending on . In fact, when , the operator is basically patterned after the (possibly) fractional -Laplacian, which turns out non-homogeneous because . If it coincides with the fractional -Laplacian. Both cases have been widely investigated and meaningful results are by now available in the literature. On the contrary, for the operator contains the difference between the fractional - and -Laplacians. It is usually called competitive and, as already pointed out in [14, 17], doesn’t comply with any ellipticity or monotonicity condition. In fact, given and chosen , , the expression
turns out negative for small and positive when is large. Therefore, nonlinear regularity theory, comparison principles, as well as existence theorems for pseudo-monotone maps cannot be employed. Moreover, since the reactions are multi-valued and contain the fractional gradient of the solutions, also variational techniques are no longer directly usable. To overcome these difficulties we first exploit Galerkin’s method, thus working with a sequence of finite dimensional functional spaces. For each , an approximate solution to (1.1) is obtained via a suitable version (cf. Proposition 3) of a classical surjectivity result. Next, letting yields a solution in a generalized sense (cf. Definitions 8 and 10), which turns out weak sense once .
Fractional gradients were first introduced more than sixty years ago by Horváth [12], but took a great interest especially after the works of Shieh and Spector [19, 20, 5]. The operator appears as a natural non-local version of , to whom it formally tends when . It enjoys good geometric and physical properties [2, 21], like invariance under translations or rotations, homogeneity of order , continuity, etc.
Section 2 contains some auxiliary results and the functional framework needed for handling both fractional gradients and the fractional -Laplacian. The existence of (generalized, strong generalized, or weak) solutions to (1.1) is established in Section 3.
2 Preliminaries
Let be two nonempty sets. A multifunction is a map from into the family of all nonempty subsets of . A function is called a selection of when for every . Given , put If are topological spaces and turns out closed in for all closed sets then we say that is upper semi-continuous. Suppose is a measurable space and is a topological space. The multifunction is called measurable when for every open set . The result below, stated in [1, p. 215], will be repeatedly useful.
Proposition 1.
Let be a closed-valued multifunction such that:
-
•
is measurable for all ;
-
•
is upper semi-continuous for a.e. .
Let be measurable. Then the multifunction admits a measurable selection.
Let be a real normed space with topological dual and duality brackets . Given a nonempty set , define . We say that is monotone when
and of type provided
The next elementary result [8, Proposition 2.1] ensures that condition holds true for the fractional -Laplacian.
Proposition 2.
Let be of type and let be monotone. Then satisfies condition .
A multifunction is called coercive provided
The following result is a direct consequence of [11, Proposition 3.2.33].
Theorem 3.
Let be a finite-dimensional normed space and let be a convex compact-valued multifunction. Suppose is upper semi-continuous and coercive. Then there exists satisfying .
Hereafter, if and are two topological spaces, the symbol means that continuously embeds in . Given , put , denote by the usual norm of , and indicate with the norm on arising from Poincaré’s inequality, namely
If , we set on ; cf. [6, Section 5]. Fix . The Gagliardo seminorm of a measurable function is
while denotes the fractional Sobolev space
endowed with the norm
As usual, on the space
we will consider the equivalent norm
Let and let be the fractional Sobolev critical exponent, i.e., when , otherwise. Thanks to Propositions 2.1–2.2, Theorem 6.7, and Corollary 7.2 of [6] one has
Proposition 4.
If then:
-
(a)
.
-
(b)
for all .
-
(c)
The embedding in (b) is compact once .
However, contrary to the non-fractional case, we know [15] that
Define, for every ,
The operator is called (negative) -fractional -Laplacian. It possesses the following properties.
-
turns out monotone, continuous, and of type ; vide, e.g., [7, Lemma 2.1].
-
One has
Hence, maps bounded sets into bounded sets.
-
The first eigenvalue of is given by (cf. [13])
To deal with distributional fractional gradients, we first introduce the Bessel potential spaces , where . Set, for every ,
On account of [16, Section 7.1] one can assert that:
-
1)
and .
-
2)
enjoys the semi-group property, i.e., for any , with being the convolution operator.
Now, put
as well as
Using 1) and 2) we easily get
Moreover, by [19, Theorem 2.2], one has
Theorem 5.
If and then
Finally, given , define
Thanks to Theorem 5 we infer
(2.1) |
The next basic notion is taken from [19]. For , let
If and makes sense then the vector
where partial derivatives are understood in a distributional sense, is called distributional Riesz -fractional gradient of . Theorem 1.2 in [19] ensures that
Further, looks like the natural extension of to the fractional framework, In fact, it exhibits analogous properties and, roughly speaking, when ; see, e.g., [10, Section 2].
3 Existence results
To shorten notation, for , we set and denote by the duality brackets of . Lemma 2.6 in [3] guarantees that
(3.1) |
Hence, the differential operator turns out well-defined on . Let be given by
for every . Thanks to properties – stated in Section 2, is bounded and continuous. Consequently,
Lemma 6.
Under , the operator defined by
maps bounded sets into bounded sets and is continuous.
Lemma 7.
Let – be satisfied. Then:
-
turns out nonempty, convex, closed for all .
-
The multifunction is bounded and strongly-weakly upper semi-continuous.
Proof.
Since , if , combining Proposition 4 with (2.1) yields
Thus,
Now, pick any . Through and Proposition 1 we realize that admits a measurable selection . By one has
as well as . Hence, . This proves , because convexity and closing follow at once from the analogous properties of .
Let us next verify . The above inequalities also guarantee that maps bounded sets into bounded sets. If is a nonempty weakly closed subset of while converges to in , then turns out bounded. The same holds true concerning the set
So, up to sub-sequences, there exists , , such that
One evidently has , because is weakly closed. Mazur’s principle provides a sequence of convex combinations of satisfying
By , this easily entails
Consequently, , i.e., , as desired. ∎
Our existence result can be established after introducing some suitable constants and the notion of generalized solution to (1.1). Since , , embeddings (2.1) produce
(3.2) |
with appropriate . Via (3.1) and its analogue for couples – we next have
(3.3) |
where . Finally, set
Definition 8.
We say that is a generalized solution of (1.1) if there exist two sequences and fulfilling:
-
(i)
in ;
-
(ii)
in ;
-
(iii)
.
Theorem 9.
Proof.
The space is separable, therefore it possesses a Galerkin’s basis, namely a sequence of linear sub-spaces of such that:
-
;
-
;
-
.
Pick any . Consider the problem: Find fulfilling
(3.5) |
By Lemma 7 the multifunction
takes convex closed values, maps bounded sets into bounded sets, and is upper semi- continuous. If and then, thanks to , we have
Using yields
whence, on account of (3.2),
Finally, through (3.3) we obtain
namely
(3.6) |
where
Since (3.4) holds, the multifunction turns out coercive. Now, Theorem 3 can be applied, and there exists a solution to Problem (3.5), i.e.,
(3.7) |
for suitable . From (3.6), written with , and (3.7) it follows
Thus, is bounded. By reflexivity one has in , taking a sub-sequence when necessary. Consequently, (i) of Definition 8 holds. Through Lemma 6 and (3.7) we next infer that turns out bounded. Therefore, always up to sub-sequences,
(3.8) |
Now, given any , Property and (3.7) yield
Because of this forces
(3.9) |
namely, condition (ii) is true. Using (3.7)–(3.9) entails
(3.10) |
as , which shows (iii) in Definition 8. Summing up, the pair turns out a generalized solution to (1.1). ∎
If we strengthen as follows:
-
For each there exist , , and such that
a.e. in and for all ,
then the next notion of strongly generalized solution can be given. Obviously, implies , because forces
Definition 10.
Theorem 11.
Proof.
Reasoning as in the proof of Theorem 9 yields both and two sequences , that comply with (i)–(ii) in Definition 8 as well as (3.10). Thus, it remains to show . By and Hölder’s inequality we have
because turns out bounded. The condition , then, forces in , where a sub-sequence is considered if necessary; see Proposition 4. Hence,
(3.11) |
Through (3.10)–(3.11), we arrive at
namely of Definition 10 also holds. ∎
Finally, recall that is called a weak solution to (1.1) when there exists such that
(3.12) |
Corollary 12.
Acknowledgment
This work was supported in part by: 1) the Research project of MIUR Prin 2022 Nonlinear differential problems with applications to real phenomena (Grant No. 2022ZXZTN2); 2) the Natural Science Foundation of Guangxi (Grant Nos. 2021GXNSFFA196004 and 2024GXNSFBA010337); 3) the National Natural Science Foundation of China (Grant No. 12371312); 4) the Natural Science Foundation of Chongqing (Grant No. CSTB2024 NSCQ-JQX0033); 5) the Postdoctoral Fellowship Program of CPSF (Grant No. GZC20241534); 6) the Systematic Project of Center for Applied Mathematics of Guangxi (Yulin Normal University) (Grant Nos. 2023CAM002 and 2023CAM003).
The second author is a member of the GNAMPA of INdAM.
References
- [1] J. Appell, E. De Pascale, and P.P. Zabreiko, Multivalued superposition operators, Rend. Sem. Mat. Univ. Padova 86 (1991), 213–231.
- [2] J.C. Bellido, J. Cueto, and C. Mora-Corral, Non-local gradients in bounded domains motivated by continuum mechanics: Fundamental theorem of calculus and embeddings, Adv. Nonlinear Anal. 12 (2023), paper no. 20220316.
- [3] L. Brasco, E. Lindgren, and E. Parini, The fractional Cheeger problem, Interfaces Free Bound. 16 (2014), 419–458.
- [4] J. Cen, S.A. Marano, and S. Zeng, Differential inclusion systems with double phase competing operators, convection, and mixed boundary conditions, Appl. Math. Lett. 167 (2025), paper no. 109556.
- [5] G.E. Comi and G. Stefani, A distributional approach to fractional Sobolev spaces and fractional variation: Asymptotics I, Rev. Mat. Complut. 36 (2023), 491–569.
- [6] E. Di Nezza, G. Palatucci, and E. Valdinoci, Hitchhiker’s guide to the fractional Sobolev spaces, Bull. Sci. Math. 136 (2012), 521–573.
- [7] S. Frassu and A. Iannizzotto, Extremal constant sign solutions and nodal solutions for the fractional -Laplacian, J. Math. Anal. Appl. 501 (2021), paper no. 124205.
- [8] L. Gambera and S.A. Marano, Fractional Dirichlet problems with singular and non-locally convctive reaction, Adv. Nonlinear Anal., to appear.
- [9] L. Gambera, S.A. Marano, and D. Motreanu, Quasilinear Dirichlet systems with competing operators and convection, J. Math. Anal. Appl. 530 (2024), paper no. 127718.
- [10] L. Gambera, S.A. Marano, and D. Motreanu, Dirichlet problems with fractional competing operators and fractional convection, Fract. Calc. Appl. Anal. 27 (2024), 2203–2218.
- [11] L. Gasinski and N.S. Papageorgiou, Nonlinear Analysis, Chapman and Hall /CRC, Boca Raton, FL, 2005.
- [12] J. Horváth, On some composition formulas, Proc. Amer. Math. Soc. 10 (1959), 433–437.
- [13] E. Lindgren and P. Lindqvist, Fractional eigenvalues, Calc. Var. Partial Differential Equations 49 (2014), 795–826.
- [14] Z. Liu, R. Livrea, D. Motreanu, and S. Zeng, Variational differential inclusions without ellipticity condition, Electron. J. Qual. Theory Differ. Equ. 43 (2020), 17 pp.
- [15] P. Mironescu and W. Sickel, A Sobolev non embedding, Atti Accad. Naz. Lincei Cl. Sci. Fis. Mat. Natur. Rend. Lincei Mat. Appl. 26 (2015), 291–298.
- [16] Y. Mizuta, Potential Theory in Euclidean Spaces, Gakkotosho, Tokyo, 1996.
- [17] D. Motreanu, Quasilinear Dirichlet problems with competing operators and convection, Open Math. 18 (2020), 1510–1517.
- [18] D. Motreanu, Systems of hemivariational inclusions with competing operators, Mathematics 12 (2024), paper no. 1766.
- [19] T.T. Shieh and D. E. Spector, On a new class of fractional partial differential equations, Adv. Calc. Var. 8 (2015), 321–336.
- [20] T.T. Shieh and D.E. Spector, On a new class of fractional partial differential equations II, Adv. Calc. Var. 11 (2018), 289–307.
- [21] M. S̆ilhavý, Fractional vector analysis based on invariance requirements (critique of coordinate approaches), Contin. Mech. Thermodyn. 32 (2019), 207–228.