This paper introduces weighted stochastic field exponent Sobolev spaces, explores their properties, and applies them to analyze stochastic PDEs with stochastic field growth, advancing the mathematical framework for such problems.
Contribution
The paper develops new weighted stochastic field exponent Sobolev spaces and demonstrates their application to stochastic partial differential equations with stochastic growth conditions.
Findings
01
Defined new weighted stochastic field exponent spaces
02
Established properties and embeddings of these spaces
03
Applied the framework to stochastic PDEs with growth conditions
Abstract
In this study, we consider weighted stochastic field exponent function spaces Lϑp(.,.)(D×Ω) and Wϑk,p(.,.)(D×Ω). Also, we investigate some basic properties and embeddings of these spaces. Finally, we present an application of these spaces to the stochastic partial differential equations with stochastic field growth.
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Full text
Weighted
Stochastic Field Exponent Sobolev Spaces and Nonlinear Degenerated Elliptic
Problem
Ismail AYDIN
Sinop University Faculty of Arts and Sciences Department of
Mathematics
In this study, we consider weighted stochastic field exponent function
spaces Lϑp(.,.)(D×Ω) and Wϑk,p(.,.)(D×Ω). Also, we
investigate some basic properties and embeddings of these spaces. Finally,
we present an application of these spaces to the stochastic partial
differential equations with stochastic field growth.
Nonlinear partial differential equations arise in chemical and biological
problems, in formulating fundamental laws of nature, in different areas of
physics, applied mathematics and engineering (such as solid mechanics, fluid
dynamics, acoustics, nonlinear optics, plasma physics, quantum eld theory)
and numerous applications. To study these equations is a very difficult task
because there are no general methods to solve such equations. Moreover, the
existence and the uniqueness of the solutions are fundamental, hard-to-prove
questions for any nonlinear equation with given boundary conditions.
In various applications (such as elasticity, non-Newtonian fluids and
electrorheological fluids, see [11]), it can be seen the boundary
value obstacle problems for elliptic equations. Many of these type equations
have been investigated for constant exponents of nonlinearity but it seems
to be more realistic to assume the variable exponent.
Harjulehto et. al [6] investigate an overview of applications to
differential equations with non-standard growth. Also, Aoyama [1]
discussed the some properties of Lebesgue spaces with variable exponent on a
probability space. In 2014, Tian et. al [13] introduced stochastic
field exponent function spaces Lp(.,.)(D×Ω)
and Wk,p(.,.)(D×Ω). They gave also an
application to the stochastic partial differential equations with stochastic
field growth in these spaces. Moreover, Lahmi et. al [8] proved the
existence of solutions for the nonlinear p(.)-degenerate problems
involving nonlinear operators. This study is a generalization of [8],
[12] and [13]. Stochastic partial differential equations have
many applications in finance, such as option pricing etc.
In this paper, we define weighted stochastic field exponent function spaces Lϑp(.,.)(D×Ω) and Wϑk,p(.,.)(D×Ω), and discuss some basic
properties of these spaces. Finally, we discuss the existence and uniqueness
of the weak solution for the nonlinear degenerated weighted p(.,.)
elliptic problem (the stochastic partial differential equations with
stochastic field growth)
[TABLE]
where A(x,t,s,ξ) is a Carathéodory function, which is
measurable stochastic fields on D×Ω and continuous for s and
ξ under some conditions.
It is known that pseudo-monotone operators have been many applications in
nonlinear elliptic equations. For example, Browder [2] studied a
class of pseudo-monotone operators and applied it to a kind of boundary
value problems for nonlinear elliptic equations.
By the theory of pseudo-monotone operators, our aim is to show the
compactness techniques and the existence of a least weak solution of (1.1). The special case of the equation of (1.1) is the following equation
[TABLE]
Let λ be a product measure on D×Ω and u(x,t) be a
Lebesgue measurable stochastic field on D×Ω, where D is a
bounded open subset of Rd(d>1), and (Ω,\tciFourier,P) is a
complete probability space.
2. Weighted Stochastic Field Exponent Lebesgue and Sobolev Spaces
Definition 1**.**
We denote the family of all measurable functions p(.,.):D×Ω⟶[1,∞) (called a
stochastic field exponent). In this paper, the function p(.,.)
always denotes a stochastic field exponent. Moreover, we put
[TABLE]
A positive, measurable and locally integrable function ϑ defined
on D×Ω is called a weight function. Now, we introduce the
integrability conditions used on the framework of weighted variable Lebesgue
and Sobolev spaces
[TABLE]
where s(.,.) is a positive function. The weighted modular
function ρp(.,.),ϑ on D×Ω is defined by
[TABLE]
where dλ=dλ(x,t)=dxdt.
The spaces Lϑp(.,.)(D×Ω) consist
of all measurable stochastic fields (functions) u on D×Ω
such that D×Ω∫∣u(x,t)∣p(x,t)ϑ(x,t)dλ<∞ and endowed with the Luxemburg
norm
[TABLE]
It is well known that u∈Lϑp(.,.)(D×Ω) if and only if ∥u∥p(.,.),ϑ=uϑp(.,.)1p(.,.)<∞.
Moreover, it is clear that, if the inequality 0<C≤ϑ is
satisfied, then Lϑp(.,.)(D×Ω)↪Lp(.,.)(D×Ω). In this study, we
assume that 1<p−≤p(.,.)≤p+<∞ and (H1),(H2).
Moreover, we use the abbreviations and symbols; a.e., ⟶ and
⇀ for almost everywhere, strong convergence and weak
convergence, respectively.
It can be seen that the space Lϑp(.,.)(D×Ω) is uniformly convex, so it is reflexive, see [4].
Moreover, we denote by Lϑ∗q(.,.)(D×Ω) as the dual space of Lϑp(.,.)(D×Ω) where p(.,.)1+q(.,.)1=1 and ϑ∗=ϑ1−q(.,.).
Now, we give the relationships between ∥.∥p(.,.),ϑ and ρp(.,.),ϑ as follows.
Proposition 1**.**
If u∈Lϑp(.,.)(D×Ω), then we have
(i)
∥u∥p(.,.),ϑp−≤ρp(.,.),ϑ(u)≤∥u∥p(.,.),ϑp+* with ∥u∥p(.,.),ϑ≥1.*
2. (ii)
∥u∥p(.,.),ϑp+≤ρp(.,.),ϑ(u)≤∥u∥p(.,.),ϑp−* with ∥u∥p(.,.),ϑ≤1.*
Theorem 1**.**
The inequality
[TABLE]
holds for every f∈Lϑp(.,.)(D×Ω)
and g∈Lϑ∗q(.,.)(D×Ω) with the
constant C depends on p(.,.) where p(.,.)1+q(.,.)1=1
and ϑ∗=ϑ1−q(.)
Proof.
If we consider the Hölder inequality, then we get
[TABLE]
for some C>0. That is the desired result.
Theorem 2**.**
(see [12],[13])The space Lϑp(.,.)(D×Ω) is a reflexive Banach space with
respect to norm ∥.∥p(.,.),ϑ.
Proposition 2**.**
The space Lϑp(.,.)(D×Ω) is
continuously embedded in Lloc1(D×Ω). This
means that every function in Lϑp(.,.)(D×Ω) has distributional (weak) derivative.
Proof.
Suppose that u∈Lϑp(.,.)(D×Ω)
and let K=K1×K2⊂D×Ω be a compact set. By
the Hölder inequality, there exists an AK>0 such that
[TABLE]
where p(.,.)1+q(.,.)1=1. It is obvious that ϑ−p(.,.)1q(.,.),K<∞ if and only
if ρq(.,.),K(ϑ−p(.,.)1)<∞.
Since ϑ−p(.,.)−11∈Lloc1(D×Ω), we have
[TABLE]
If we use (2.1) and (2.2), then the proof is completed.
Remark 1**.**
If ϑ−p(.,.)−11∈/Lloc1(D×Ω), then the space Lϑp(.,.)(D×Ω) might not be continuously embedded in Lloc1(D×Ω).
Theorem 3**.**
Let u∈Lϑp(.,.)(D×Ω) and un∈Lϑp(.,.)(D×Ω) with ∥un∥p(.,.),ϑ≤C for some C>0. If un⟶u a.e. in D×Ω, then un⇀u in Lϑp(.,.)(D×Ω).
Proof.
Since the space Lϑp(.,.)(D×Ω) is
reflexive by Theorem 2, we only need to show that
[TABLE]
for each g∈Lϑ∗q(.,.)(D×Ω) where p(.,.)1+q(.,.)1=1 and ϑ∗=ϑ1−q(.,.). It is well known that ∥un∥p(.,.),ϑ≤C if and only if ρp(.,.),ϑ(Cun)≤1 for each n∈N. This follows by the Fatou’s Lemma and the definition of the norm that
[TABLE]
Thus, we get ∥u∥p(.,.),ϑ≤C. By the
absolute continuity of the Lebesgue integral, we have
[TABLE]
where g∈Lϑ∗q(.,.)(D×Ω) and K⊂D×Ω. This yields that meas(K)⟶0lim∥gχK∥q(.,.),ϑ∗=0, and there
exists a δ>0 such that
[TABLE]
for meas(K)<δ. By the Egorov theorem, there exists a set L⊂D×Ω such that un⟶u uniformly on L with meas((D×Ω)−L)<δ. If we choose n0 such that n≥n0, then we have
[TABLE]
Let us denote K=(D×Ω)−L. By (2.3) and (2.4), we have
[TABLE]
That is the desired result.
Definition 2**.**
We set the weighted stochastic field variable Sobolev spaces Wϑk,p(.,.)(D×Ω) by
[TABLE]
equipped with the norm
[TABLE]
where α∈N0d is a multi-index, ∣α∣=α1+α2+...+αd and Dα=∂x1α1...∂xdαd∂∣α∣. The space (Wϑk,p(.,.)(D×Ω),∥.∥Wϑk,p(.,.)(D×Ω)) is a
reflexive Banach space by [13, Theorem 2.5].
Moreover, the space Wϑ1,p(.,.)(D×Ω)
is defined by
[TABLE]
with the norm ∥u∥Wϑ1,p(.,.)(D×Ω)=∥u∥p(.,.),ϑ+∥∇u∥p(.,.),ϑ.
The space W0,ϑ1,p(.,.)(D×Ω) is the
closure of
[TABLE]
in Wϑ1,p(.,.)(D×Ω). Also, it is
obvious that C(D×Ω) is a subspace of W0,ϑ1,p(.,.)(D×Ω), and the dual
space of W0,ϑ1,p(.,.)(D×Ω) is W0,ϑ∗−1,q(.,.)(D×Ω), where p(.,.)1+q(.,.)1=1 and ϑ∗=ϑ1−q(.,.).
The following theorem present the Poincaré inequality for the weighted
Sobolev spaces W0,ϑk,p(.,.)(D×Ω).
For the proof, we refer [14].
Remark 2**.**
If we use the similar method in [14, Theorem 7], then we have the
Poincaré inequality for W0,ϑk,p(.,.)(D×Ω), that is, there exists a C>0 such that the inequality
[TABLE]
holds for every u∈W0,ϑk,p(.,.)(D×Ω) (or u∈C(D×Ω)).
Therefore, the space W0,ϑ1,p(.,.)(D×Ω) equipped with the norm
[TABLE]
for u∈W0,ϑ1,p(.,.)(D×Ω). It is
note that the norms ∥.∥Wϑ1,p(.,.)(D×Ω) and ∥∣.∣∥W0,ϑ1,p(.,.)(D×Ω) are equivalent on Wϑ1,p(.,.)(D×Ω). Then, Wϑ1,p(.,.)(D×Ω)
is continuously embedded in Lϑp(.,.)(D×Ω) if and only if the inequality (2.5) is satisfied for every u∈W0,ϑ1,p(.,.)(D×Ω).
3. Compact Embedding Theorems
In this section, we present several compact embeddings between the weighted
stochastic field variable Lebesgue and Sobolev spaces. Because, we need
these embeddings to investigate weak solutions of stochastic partial
differential equation (1.1). Now, let us introduce the function p∗(.,.) and ps(.,.) defined by
[TABLE]
[TABLE]
and we have
[TABLE]
for almost all (x,t)∈D×Ω.
Proposition 3**.**
(see [9])Assume that the boundary of D×Ω possesses the cone property and p(.,.)∈C(D×Ω). If q(.,.)∈C(D×Ω) and 1≤q(x,t)≤p∗(x,t) for (x,t)∈D×Ω, then W1,p(.,.)(D×Ω) is compactly embedded in Lq(.,.)(D×Ω).
Theorem 4**.**
Assume that the boundary of D×Ω possesses the
cone property, p(.,.)∈C(D×Ω) and 1<p(x,t) for all (x,t)∈D×Ω. Suppose that
(i)
0<ϑ(x,t)∈Lα(.,.)(D×Ω)* with (x,t)∈D×Ω, α(.,.)∈C(D×Ω) and 1<α−.*
2. (ii)
1<q(x,t)<α(x,t)α(x,t)−1p∗(x,t)* for all (x,t)∈D×Ω.*
Then, there is a compact embedding from W1,p(.,.)(D×Ω) to Lϑq(.,.)(D×Ω).
Proof.
For the proof, we use similar method in [5, Theorem 2.1]. Let u∈W1,p(.,.)(D×Ω) and set r(x,t)=α(x,t)−1α(x,t)q(x,t)=α0(x,t)q(x,t). Then (ii)
implies r(x,t)<p∗(x,t). This follows that W1,p(.,.)(D×Ω)↪↪Lr(.,.)(D×Ω) by Proposition 3.
Moreover, for u∈W1,p(.,.)(D×Ω), we get ∣u∣q(x,t)∈Lα0(x,t)(D×Ω). By the Hölder inequality
[TABLE]
Therefore, we have W1,p(.,.)(D×Ω)⊂Lϑq(.,.)(D×Ω). Now, let (un)n∈N⊂W1,p(.,.)(D×Ω) and un⇀0 in W1,p(.,.)(D×Ω).
Since W1,p(.,.)(D×Ω) is compactly embedded in Lr(.,.)(D×Ω) by the Proposition 3, we get un⟶0 in Lr(.,.)(D×Ω), that is, ∥un∥r(.,.)⟶0. This yields ρr(.,.)(un)⟶0 and
[TABLE]
or equivalently
[TABLE]
Thus, we have
[TABLE]
which implies ∥un∥q(.,.),ϑ⟶0. That is the desired result.
Theorem 5**.**
Let all conditions in Proposition 3 be
hold. Moreover, assume that the assumptions in Theorem 4
replacing p(.,.) by ps(.,.) are also
satisfied. Thus we obtain
[TABLE]
where r(x,t)≤ps∗(x,t) for all (x,t)∈D×Ω and 0<C≤ϑ.
Proof.
First of all, we will show that Wϑ1,p(.,.)(D×Ω) is continuously embedded in W1,ps(.,.)(D×Ω). Let u∈Wϑ1,p(.,.)(D×Ω). Then it is clear that u,∣∇u∣∈Lϑp(.,.)(D×Ω). If we consider the Hölder inequality, Proposition 2 and ϑ−s(.,.)∈L1(D×Ω), then we have
[TABLE]
where
[TABLE]
and
[TABLE]
Hence, we get
[TABLE]
where
[TABLE]
and
[TABLE]
Therefore, we obtain
[TABLE]
Since ps(.,.)<p(.,.), we have Lϑp(.,.)(D×Ω)↪Lp(.,.)(D×Ω)↪Lps(.,.)(D×Ω), see [7, Theorem 2.8]. Then there exists C∗∗>0
such that
[TABLE]
for almost everywhere in D×Ω. By (3.3) and (3.4), we
conclude that Wϑ1,p(.,.)(D×Ω)⊂W1,ps(.,.)(D×Ω). If we consider the
Banach theorem in [3], we get Wϑ1,p(.,.)(D×Ω)↪W1,ps(.,.)(D×Ω). This follows from Theorem 4 that
[TABLE]
This completes the proof.
Now, we reveal some required conditions for the equation (1.1). Assume
that A:Rd×Ω×R×Rd⟶Rd and f:Rd×Ω⟶R satisfy the following growth conditions:
where k(x,t) is a positive function in Lq(.,.)(D×Ω) where
p(.,.)1+q(.,.)1=1 and α, β are positive
constants.
Let A0(x,t,s,ξ):Rd×Ω×R×Rd⟶R be a Carathéodory function such that for a.e. (x,t)∈Rd×Ω and for all s∈R, ξ∈Rd, the growth condition
[TABLE]
is satisfied where g:R⟶R+ is a continuous function that belongs to L1(R) and γ(x,t) belongs to Lϑ∗q(.,.)(D×Ω). Finally, we assume
that f∈Wϑ∗−1,q(.,.)(D×Ω).
Lemma 1**.**
(see [8])Assume that (H3)−(H5) hold and let {un}n∈N be a sequence in W0,ϑ1,p(.,.)(D×Ω) such that un⇀u in W0,ϑ1,p(.,.)(D×Ω) and
[TABLE]
Then un⟶u in W0,ϑ1,p(.,.)(D×Ω).
4. Existence of Weak Solution of Stochastic Partial Differential
Equations With Stochastic Field Growth
Definition 3**.**
A function u∈W0,ϑ1,p(.,.)(D×Ω)
is said to be a weak solution (1.1), if
[TABLE]
for all φ∈W0,ϑ1,p(.,.)(D×Ω).
Definition 4**.**
A bounded operator T from W0,ϑ1,p(.,.)(D×Ω) to its dual Wϑ∗−1,q(.,.)(D×Ω) is called pseudo-monotone if and only if for any
sequences (uk)k∈N in W0,ϑ1,p(.,.)(D×Ω)
satisfying
(i)
uk⇀u* in W0,ϑ1,p(.,.)(D×Ω) as k⟶∞,*
2. (ii)
k⟶∞limsup⟨T(uk),uk−u⟩≤0**
imply T(uk)⇀T(u) and ⟨T(uk),uk⟩⟶⟨T(u),u⟩.
Definition 5**.**
Assume that X is a reflexive Banach space and X∗ denotes dual of X. Also, let ⟨.,.⟩ be a pair between X and X∗.
Then a mapping Γ:X⟶X∗ is called coercive if
there exists a u∈X such that
[TABLE]
Let us define the operator Γ:W0,ϑ1,p(.,.)(D×Ω)⟶Wϑ∗−1,q(.,.)(D×Ω) by
[TABLE]
where φ∈W0,ϑ1,p(.,.)(D×Ω)
and p(.,.)1+q(.,.)1=1. Hence, we can write the equation (1.1) as ⟨Γ(u),φ⟩=⟨f,φ⟩.
Proposition 4**.**
(Weak compactness of bounded set)Let X be a reflexive
Banach space. Moreover, assume that (uk)k∈N is a sequence such that
(i) uk∈X
(ii) ∥uk∥X≤C for all k∈N,
that is, (uk)k∈N is a bounded sequence in X, then there exists a subsequence (ukl)l∈N and an element u0∈X such that ukl⇀u0 in
X.
Theorem 6**.**
(see [10])Let X be a reflexive Banach space and
assume Γ:X⟶X∗ is continuous (bounded),
coercive and pseudo-monotone. Then for every g∈X∗ there exists a
solution u∈X of the equation Γ(u)=g.
Now, we are ready to give our main motivation of the paper.
Theorem 7**.**
If the conditions (H3),(H4) and (H5) hold, then there exists at least a weak solution of (1.1).
Proof.
The proof base on three parts.
**Step 1. **First of all, we will show that the operator Γ is
bounded. The operator Γ is equal to the sum of two operators such
that Γ=Γ1+Γ2 where
[TABLE]
and
[TABLE]
If we consider (H3), Proposition 1 and Hölder inequality, then we have
[TABLE]
where
[TABLE]
and p(.,.)1+q(.,.)1=1. This yields that Γ1 is
bounded. In similar way, since γ∈Lϑ∗q(.,.)(D×Ω), we get
[TABLE]
[TABLE]
where
[TABLE]
and p(.,.)1+q(.,.)1=1. Thus, we obtain that Γ2
is bounded. Therefore, we get that Γ is bounded.
Step 2. Now, we will show that the operator Γ is coercive.
By (H5), we have
[TABLE]
for some r>1. On the other hand, since the norm ∥A0(x,t,u,∇u)∥q(.,.),ϑ∗ is bounded,
then we have
[TABLE]
This follows that
[TABLE]
**Step 3. **Now, we will obtain that the operator Γ is
pseudo-monotone from W0,ϑ1,p(.,.)(D×Ω) to Wϑ∗−1,q(.,.)(D×Ω). Let uk⇀u in W0,ϑ1,p(.,.)(D×Ω) and k⟶∞limsup⟨Γ(uk),uk−u⟩≤0. Since Γ is bounded and uk⇀u, then we
have
and then ∇uk⟶∇u a.e. in D×Ω
for a subsequence denoted by (uk)k∈N. Since A and A0 are Carathéodory functions, we have
[TABLE]
This yields that h=Γ(u) and the operator Γ is
pseudo-monotone. Finally, if we consider the Theorem 6, then
there exists at least a weak solution of (1.1).
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