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Article

The Existence of Entropy Solutions for a Class of Parabolic Equations

Zhejiang College, Shanghai University of Finance & Economics, Jinhua 321013, China
*
Author to whom correspondence should be addressed.
Mathematics 2023, 11(17), 3753; https://doi.org/10.3390/math11173753
Submission received: 25 July 2023 / Revised: 22 August 2023 / Accepted: 28 August 2023 / Published: 31 August 2023

Abstract

:
The existence and uniqueness of entropy solutions for a class of parabolic equations involving a p ( x ) -Laplace operator are investigated. We first prove existence of the global weak solution for the p ( x ) -Laplacian equations with regular initial data via the difference and variation methods as well as the standard domain expansion technique. Then, by constructing and solving a related approximation problem, the entropy solution for the p ( x ) -Laplacian equations with irregular initial data in whole space is also obtained.

1. Introduction

In this paper, we consider the following nonlinear parabolic p ( x ) -Laplacian equations:
u t div ( | u | p ( x ) 2 u ) + λ | u | q ( x ) 2 u = f ( x , u ) + g ( x ) , in R N × R + , u ( x , 0 ) = u 0 ( x ) , in R N ,
where u 0 , g ( x ) L 1 ( R N ) ( N 2 ) , λ > 0 , q ( x ) 2 . The exponent p ( x ) is a so-called Log-Hölder continuous function, namely, there exists a positive constant c 0 such that
| p ( x ) p ( y ) | c 0 log | x y | for   every x , y R N with | x y | 1 2 ,
which satisfies
1 < p = inf x R N p ( x ) sup x R N p ( x ) = p + < + .
The study of partial differential equations referring to p ( x ) -Laplacian attracts much attention due to the extensive application in the study of electrorheological fluid, image processing and other various fields with significant physical backgrounds (see [1,2,3]). As we know, electrorheological fluid is mainly used to make liquids and solids transform in electric fields, such as the automobile transmission principle, and the image processing is often used to remove noise, enhance image quality, restore, segment and extract features. The results on both elliptic and parabolic equations involving a variable exponent have kept growing in recent years. We refer to the references [4,5,6,7,8,9,10,11,12].
One of the interesting topics in the study of p ( x ) -Laplacian equations is the existence of solutions for the differential equations with irregular data (such as L 1 -data, measure data). Because of the irregularity of the initial value and the forced term, the normal technique of getting weak solutions for the equation is no longer feasible. People may transfer to find the “very weak” solution, such as, DiPerna [13] who first introduced a renormalized solution into the Boltzmann equations, which overcame the deficiency of a strong a priori estimation and obtained the weak solutions. After that, Bénilan and Boccardo introduced the concept of entropy solution and obtained a unique entropy solution for the nonlinear elliptic problem in [14]. Then, more and more scholars studied renormalized and entropy solutions in elliptic equations (see [15,16,17]) and parabolic equations (see [18,19,20,21,22]). At the same time, many people have made more general equations about Leray–Lions-type operator equations [23,24,25,26,27], anisotropic equations [26,28] and fractional equations [29]. When R N is replaced by a bounded domain Ω R N in (1), Zhang and Zhou in [22] obtained the existence and uniqueness of the renormalized and entropy solutions in (1) with λ = 0 ,   f ( x , u ) = 0 , and then Bendahmane and Wittbold proved the existence and uniqueness of the renormalized solution in [18]. Recently, under the assumptions: f is a Carathéodory mapping and there exist positive constants l , C , c 1 , c 2 , σ 0 and b ( x ) L 1 ( Ω ) such that
( H 1 )
( f ( x , s 1 ) f ( x , s 2 ) ) ( s 1 s 2 ) l | s 1 s 2 | 2 for a.e. x Ω and any s 1 , s 2 R ;
( H 2 )
c 2 | s | q + 1 C f ( x , s ) s c 1 | s | q + 1 + C , q 1 for a.e. x Ω and any s R ;
( H 3 )
| f ( x , s ) | b ( x ) for a.e. x Ω and all s R with | s | < σ 0 ,
Niu and Chai in [21] obtained a unique entropy solution and the global attractor in L q ( Ω ) in the case of λ = 0 ,   f ( x , u ) = f ( x , u ) in (1). The generalized equations involving a variable exponent are also getting more attractive than before. Li and Gao in [20] considered the existence of a renormalized solution when the equation contains the gradient term g ( x , t , u , u ) . Jamea, Lamrani and El Hachimi in [30] obtained the existence of the entropy solutions of the p ( x ) -Laplace equations with the Neumann boundary condition. In case of Ω R N being an arbitrary domain, the uniqueness of the entropy solution or renormalized solution is investigated by [24,31].
In view of what is mentioned above, we intend to get not only the existence of the entropy solution but also the uniqueness of the solution for the equation (1) in the whole space. To this end, we assume that external force f ( x , u ) is a Carathéodory function satisfying f ( x , s ) s 0 for almost all x R N , and
l 1 | s 1 s 2 | 2 ( f ( x , s 1 ) f ( x , s 2 ) ) ( s 1 s 2 ) l 2 | s 1 s 2 | 2 ,
for any s 1 , s 2 R and positive constants l 1 , l 2 . It is notable that there are more difficulties to be solved when we locate the problem in an unbounded domain, such as no compactness Sobolev embedding, invalidity of Poincaré inequality, and so on. One can see that the double boundedness in (3) is different from the conditions ( H 1 ) and ( H 2 ) in [21]. Actually, the authors in [21] depended on the Vitali’s convergence theorem and Marcinkiewicz space to get the important convergence of f ( x , u n ) in L 1 . In our situation, we cannot use this technique again, and we refer to the global Lipschitz condition of f ( x , u ) to get the corresponding convergence. Moreover, in order to overcome the limitation brought by the unbounded region, we firstly obtain the global weak solution in R N by the difference and variation methods and the standard region expansion technique, and then prove the existence and uniqueness of the entropy solution in whole space by constructing and solving the approximation problem which corresponds to the p ( x ) -Laplacian equation with irregular initial data.
This paper is organized as follows. In Section 2, we provide the definitions and relevant lemmas, and list our results. Section 3 is devoted to obtaining a unique weak solution in the bounded domain, then extend to R N . In Section 4, we prove the existence and uniqueness of the entropy solution in R N .
For the convenience, throughout the paper, we denote Ω × ( 0 , T ) by Ω T and R N × ( 0 , T ) by Q T for any T > 0 . C is a positive constant, which may be different from line to line and even in the same line.

2. Notations, Definitions and Preliminary Results

In this section, we recall the definitions and some basic properties of the generalized Lebesuge and Sobolev spaces (see [32,33] for more details).
Let Ω be an open domain of R N , N 2 . For a variable exponent p ( x ) C ( Ω ) satisfying the log-Hölder continuity condition (2), we define the Lebesgue space L p ( · ) ( Ω ) as
L p ( · ) ( Ω ) = { u : Ω R , u   is   measurable   and Ω | u | p ( x ) < }
with the norm
u L p ( · ) ( Ω ) = inf { λ > 0 : Ω | u ( x ) λ | p ( x ) d x 1 } ,
which is a separable and reflexive Banach space. The dual space of L p ( x ) ( Ω ) is L p ( x ) ( Ω ) , where 1 p ( x ) + 1 p ( x ) = 1 . The Sobolev space D 0 1 , p ( x ) ( Ω ) is defined as the closure of C 0 ( Ω ) in the norm
u D 0 1 , p ( · ) ( Ω ) = u L p ( · ) ( Ω ) .
For a positive integer m, the generalized Sobolev space W m , p ( · ) ( Ω ) is defined as
W m , p ( · ) ( Ω ) = { u L p ( · ) ( Ω ) : D α u L p ( · ) ( Ω ) , | α | m }
with norm
u W m , p ( · ) ( Ω ) = | α | m D α u L p ( · ) ( Ω ) .
Under the assumption (2), smooth functions are dense in it, and the space W 0 m , p ( · ) ( Ω ) can be defined as the completion of C 0 ( Ω ) in W m , p ( · ) ( Ω ) with respect to the norm · W m , p ( · ) ( Ω ) .
Let T k , k 0 be the truncation function:
T k ( r ) = min { k , max { r , k } } = k , if r k , r , if | r | < k , k , if r k ,
and its primitive function Φ k : R R +
Φ k ( r ) = 0 r T k ( s ) ds = r 2 2 , if | r | k , k | r | k 2 2 , if | r | k .
It is obvious that Φ k ( r ) 0 and Φ k ( r ) k | r | .
Lemma 1
(see [33,34]). The space L p ( · ) ( Ω ) is a separable, uniformly convex Banach space, and its conjugate space is L p ( · ) ( Ω ) , where 1 p ( x ) + 1 p ( x ) = 1 . For any u L p ( x ) ( Ω ) and v L p ( x ) ( Ω ) , we have
Ω | u v | d x 1 p + 1 p u L p ( · ) ( Ω ) v L p ( · ) ( Ω ) 2 u L p ( · ) ( Ω ) v L p ( · ) ( Ω ) .
Lemma 2
(see [33,34]). Let
ρ ( u ) = Ω | u | p ( x ) d x   f o r   a l l   u L p ( · ) ( Ω ) .
Then,
(1) 
ρ ( u ) > 1 ( = 1 , < 1 ) if and only if u L p ( · ) ( Ω ) > 1 ( = 1 , < 1 , r e s p e c t i v e l y ) ;
(2) 
if u L p ( · ) ( Ω ) > 1 , then u L p ( · ) ( Ω ) p ρ ( u ) u L p ( · ) ( Ω ) p + ;
(3) 
if u L p ( · ) ( Ω ) < 1 , then u L p ( · ) ( Ω ) p + ρ ( u ) u L p ( · ) ( Ω ) p .
We are now in a position to give the main results of this paper.
Theorem 1.
Let u 0 , g L 1 ( R N ) and (2) and (3) hold, then the problem (1) admits a unique entropy solution u for any T > 0 .

3. Proof of the Weak Solution

In this section, we first consider the existence of weak solutions in a bounded, smooth domain Ω R N with the boundary condition:
u ( t ) | Ω = 0 for   all   values   of t > 0 .
Definition 1.
A function  u ( x , t )  is called a weak solution of (1) and (4) on  [ 0 , T ] ,  if for any  T > 0 , 
u C ( [ 0 , T ] ; L 2 ( Ω ) ) L p ( 0 , T ; D 0 1 , p ( x ) ( Ω ) ) L q ( x ) ( Ω T )
with  u ( L p ( · ) ( Ω T ) ) N ,   u t L ( p ) ( 0 , T ; D 1 , p ( · ) ( Ω ) ) + L q ( · ) ( Ω T )  and   u | t = 0 = u 0  almost everywhere in Ω such that 
Ω T ( u φ t + | u | p ( x ) 2 u · φ + λ | u | q ( x ) 2 u φ ) d x d t = Ω T ( f ( x , u ) φ + g φ ) d x d t + Ω u 0 φ ( 0 ) d x
 for any   φ C 1 ( Ω ¯ T )  with   φ = 0 o n Ω × ( 0 , T ] .
Next, we prove the existence and uniqueness of weak solution to (1) and (4) by the difference and variation methods (see [8]).
Proposition 1.
Let Ω R N be a bounded smooth domain and assumptions (2) and (3) hold. Then for any u 0 L 2 ( Ω ) and a smooth function g, there exists a unique weak solution u to (1) and (4) for any T > 0 .
Proof. 
We denote W = { u L 2 ( Ω ) D 0 1 , p ( · ) ( Ω ) L q ( · ) ( Ω ) } with the norm
u W = u L 2 ( Ω ) + u D 0 1 , p ( · ) ( Ω ) + u L q ( · ) ( Ω ) .
Then, it is obvious that W is a Banach space. Now we construct an approximation sequence of solution for problems (1) and (4). Let n be a positive integer. Denote h = T n , we consider the following elliptic problems:
u k u k 1 h div ( | u k | p ( x ) 2 u k ) + λ | u k | q ( x ) 2 u k = f ( x , u k ) + g , u k | Ω = 0 , k = 1 , 2 , , n .
We divide the proof of this proposition into four steps.
Step 1. Find solution u k of (5) for every k { 1 , 2 , , n } . For k = 1 , we introduce a functional J in W as follows
J ( u ) = 1 2 h Ω | u | 2 d x + Ω 1 p ( x ) | u | p ( x ) d x + λ Ω 1 q ( x ) | u | q ( x ) d x 1 h Ω u 0 u d x Ω F ( x , u ) d x Ω g u d x ,
where F ( x , u ) = 0 u f ( x , s ) d s . Firstly, by condition of f ( x , u ) , we have
Ω F ( x , u ) d x 0 ,
and by Hölder and Young inequalities, it is easy to see that
Ω u 0 u d x C ( ε ) Ω | u 0 | 2 d x + ε Ω | u | 2 d x ,
and
Ω g u d x C ( ε ) Ω | g | 2 d x + ε Ω | u | 2 d x ,
where ε > 0 is a small positive number. Thus, applying (7)–(9) and choosing ε sufficiently small, we have from (6) that
J ( u ) 1 4 h Ω | u | 2 d x + 1 p + Ω | u | p ( x ) d x + λ q + Ω | u | q ( x ) d x C ( Ω | u 0 | 2 d x + Ω | g | 2 d x ) C ( u 0 L 2 ( Ω ) 2 , g L 2 ( Ω ) 2 ) .
This immediately implies that
C inf w W J ( w ) J ( 0 ) C .
Now, we choose a minimizing sequence { v m } m = 1 W such that
J ( v m ) inf w W J ( w ) .
Then we have J ( v m ) C for m = 1 , 2 , , and by the argument as (7)–(9), it reduces to
1 4 h Ω | v m | 2 d x + 1 p + Ω | v m | p ( x ) d x + λ q + Ω | v m | q ( x ) d x C + C ( v 0 m L 2 ( Ω ) , g L 2 ( Ω ) ) .
Therefore, we have
v m L 2 ( Ω ) C , v m L q ( x ) ( Ω ) C , v m L p ( x ) ( Ω ) C ,
and there exists a subsequence { v m j } j = 1 { v m } m = 1 and a function u 1 W , such that
v m j u 1 weakly   in L 2 ( Ω ) L q ( x ) ( Ω ) , v m j u 1 weakly   in ( L p ( x ) ( Ω ) ) N .
Since W 1 , p ( x ) ( Ω ) L α ( x ) ( Ω ) , 1 α ( x ) < p * ( x ) = N p ( x ) N p ( x ) , we get
v m j u 1 strongly   in L α ( x ) ( Ω ) .
By means of f condition, we have | f ( x , s ) | l | s | , where l = m a x { l 1 , l 2 } . Then,
Ω | F ( x , v m j ) F ( x , u 1 ) | d x = Ω | u 1 v m j f ( x , s ) d s | d x Ω u 1 v m j | f ( x , s ) | d s d x 1 2 Ω | ( u 1 v m j ) ( u 1 + v m j ) | d x 1 2 u 1 v m j L α ( x ) ( Ω ) u 1 + v m j L α ( x ) ( Ω ) < ε ,
as j + , where 1 α ( x ) + 1 α ( x ) = 1 . Thus, we conclude that F ( x , v m j ) F ( x , u 1 ) strongly in L 1 ( Ω ) , J ( u ) is weakly lower semi-continuous on W, that is,
J ( u 1 ) lim inf j J ( v m j ) = inf w W J ( w ) .
This implies that u 1 W is a minimizer of the functional J ( u ) in W, i.e.,
J ( u 1 ) = inf w W J ( w ) .
With u 1 , by using the same argument as before, we can find weak solution u k of (5) for k = 2 , , n .
Step 2. Find the limit u of u h with h = T n based on u k . Taking L 2 inner product to (5) by u k , one has
Ω u k u k 1 h u k d x + Ω | u k | p ( x ) d x + λ Ω | u k | q ( x ) d x = Ω f ( x , u k ) u k d x + Ω g u k d x .
By Hölder and Young inequalities, we have
Ω u k u k 1 h u k d x 1 2 h Ω | u k | 2 d x 1 2 h Ω | u k 1 | 2 d x ,
and
Ω g u k d x 2 u k L q ( x ) ( Ω ) g L q ( x ) ( Ω ) ε u k L q ( x ) ( Ω ) β + C ( ε ) g L q ( x ) ( Ω ) β ε Ω | u k | q ( x ) d x + C ( ε , g L q ( x ) ( Ω ) ) ,
where 1 β + 1 β = 1 ,
β = q , u k L q ( x ) ( Ω ) 1 ; q + , u k L q ( x ) ( Ω ) 1 .
Then, combining (10)–(12) and f ( x , s ) s 0 , we have
1 2 h Ω | u k | 2 d x + Ω | u k | p ( x ) d x + λ 2 Ω | u k | q ( x ) d x 1 2 h Ω | u k 1 | 2 d x + C ( ε ) .
Integrating above inequality with respect to time on ( ( k 1 ) h , k h ] , one has
Ω | u k | 2 d x + 2 ( k 1 ) h k h Ω | u k | p ( x ) d x d t + λ ( k 1 ) h k h Ω | u k | q ( x ) d x d t Ω | u k 1 | 2 d x + 2 h C ( λ ) .
Summing up all the equalities of (14) for k = 1 , 2 , , n , we have
Ω | u n | 2 d x + 2 i = 1 n ( i 1 ) h i h Ω | u i | p ( x ) d x d t + λ i = 1 n ( i 1 ) h i h Ω | u i | q ( x ) d x d t Ω | u 0 | 2 d x + C T .
Now, for every h = T n , we define
u h ( x , t ) = u 0 ( x ) , t = 0 , u 1 ( x ) , 0 < t h , u j ( x ) , ( j 1 ) h < t j h , u n ( x ) , ( n 1 ) h < t n h = T .
Then we have
Ω | u h ( x , t ) | 2 d x + 2 0 T Ω | u h ( x , t ) | p ( x ) d x d t + λ 0 T Ω | u h ( x , t ) | q ( x ) d x d t Ω | u 0 ( x ) | 2 d x + C T .
It implies that
0 T min { u h L p ( x ) ( Ω ) p , u h L p ( x ) ( Ω ) p + } d t 0 T Ω | u h ( x , t ) | p ( x ) d x d t C T , 0 T min { u h L q ( x ) ( Ω ) q , u h L q ( x ) ( Ω ) q + } d t 0 T Ω | u h ( x , t ) | q ( x ) d x d t C T .
Thus, we obtain
u h L ( 0 , T ; L 2 ( Ω ) ) + u h L p ( 0 , T ; D 0 1 , p ( · ) ( Ω ) ) + u h L q ( · ) ( Ω T ) + u h L p ( · ) ( Ω T ) C T ,
and we may choose a subsequence (we also denote it by the original sequence for simplicity) such that
u h u weakly   *   in L ( 0 , T ; L 2 ( Ω ) ) ;
u h u weakly   in L p ( 0 , T ; D 0 1 , p ( · ) ( Ω ) ) L q ( · ) ( Ω T ) ;
| u h | q ( x ) 2 u h η weakly   in L q ( · ) ( Ω T ) ;
| u h | p ( x ) 2 u h ξ weakly   in ( L p ( · ) ( Ω T ) ) N ,
which follows that
u L ( 0 , T ; L 2 ( Ω ) ) + u L p ( 0 , T ; D 0 1 , p ( · ) ( Ω ) ) + u L q ( · ) ( Ω T ) C T .
For each φ C 1 ( Ω ¯ T ) with φ ( · , T ) = 0 , φ ( x , t ) | Ω = 0 and for every k { 1 , 2 , , n } , let φ ( x , k h ) be a test function in (5), we get
1 h Ω u k ( x ) φ ( x , k h ) d x 1 h Ω u k 1 ( x ) φ ( x , k h ) d x + Ω | u k | p ( x ) 2 u k · φ ( x , k h ) d x + λ Ω | u k | q ( x ) 2 u k φ ( x , k h ) d x = Ω f ( x , u k ) φ ( x , k h ) d x + Ω g ( x ) φ ( x , k h ) d x .
Summing up above equalities for k = 1 , 2 , , n 1 , recalling the definition of u h in (15) and φ ( · , T ) = φ ( · , n h ) = 0 , we have
h k = 1 n 1 Ω u h ( x , k h ) φ ( x , k h ) φ ( x , ( k + 1 ) h ) h d x Ω u 0 ( x ) φ ( x , h ) d x + h k = 1 n Ω ( | u h | p ( x ) 2 u h ) ( x , k h ) · φ ( x , k h ) d x + λ h k = 1 n Ω ( | u h | q ( x ) 2 u h ) ( x , k h ) φ ( x , k h ) d x = h k = 1 n Ω f ( x , u h ( x , k h ) ) φ ( x , k h ) d x + h k = 1 n Ω g ( x ) φ ( x , k h ) d x .
In what follows, we deal with every term in above equation in turn. In view of (18), we obtain
h k = 1 n Ω ( | u h | p ( x ) 2 u h ) ( x , k h ) · φ ( x , k h ) d x = 0 T Ω ( | u h | p ( x ) 2 u h ) ( x , τ ) · φ ( x , τ ) d x d τ + k = 1 n ( k 1 ) h k h Ω ( | u h | p ( x ) 2 u h ) ( x , τ ) · ( φ ( x , k h ) φ ( x , τ ) ) d x d τ 0 T Ω ξ · φ ( x , τ ) d x d τ , as h 0 .
Since u L p ( x ) C u L p ( x ) , L p ( 0 , T ; W 0 1 , p ( x ) ( Ω ) ) L p ( 0 , T ; L γ ( x ) ( Ω ) ) L s ( x ) ( Ω T ) , where 1 γ ( x ) < p * ( x ) = N p ( x ) N p ( x ) , s ( x ) min { p , γ ( x ) } , then we obtain
u h u strongly   in L s ( x ) ( Ω T ) ,
and then
u h u   a . e . in   Ω T , | u h | q ( x ) 2 u h | u | q ( x ) 2 u   a . e . in   Ω T .
From (17), we have
| u h | q ( x ) 2 u h L q ( x ) ( Ω T ) u h L q ( x ) ( Ω T ) q + 1 + u h L q ( x ) ( Ω T ) q 1 C .
According to the well-known results of Lemma 1.3 in [35], we conclude that η = | u | q ( x ) 2 u . Hence
h k = 1 n Ω ( | u h | q ( x ) 2 u h ) ( x , k h ) φ ( x , k h ) d x = 0 T Ω ( | u h | q ( x ) 2 u h ) ( x , τ ) φ ( x , τ ) d x d τ + k = 1 n ( k 1 ) h k h Ω ( | u h | q ( x ) 2 u h ) ( x , τ ) ( φ ( x , k h ) φ ( x , τ ) ) d x d τ 0 T Ω | u | q ( x ) 2 u φ ( x , τ ) d x d τ , as h 0 .
For the term of f ( x , u ) , we first deduce from (3) that
| f ( x , u h ) | l | u h | ,
where l = m a x { l 1 , l 2 } . Since for a.e. x R N , the map u f ( x , u ) is continuous, then combining (16), (21) and (23), it implies that
  f ( x , u h ) f ( x , u ) a . e . in   Ω T , f ( x , u h ) L q ( x ) ( Ω T ) C 1 u h L q ( x ) ( Ω T ) C .
By using Lemma 1.3 of [35] again, we obtain
f ( x , u h ) f ( x , u ) weakly   in   L q ( x ) ( Ω T ) ,
it follows that
h k = 1 n Ω f ( x , u h ( x , k h ) ) φ ( x , k h ) d x = 0 T Ω f ( x , u h ( x , τ ) ) φ ( x , τ ) d x d τ + k = 1 n ( k 1 ) h k h Ω f ( x , u h ( x , τ ) ) ( φ ( x , k h ) φ ( x , τ ) ) d x d τ 0 T Ω f ( x , u ) φ ( x , τ ) d x d τ , as h 0 .
Moreover, it is obvious that
h k = 1 n Ω g ( x ) φ ( x , k h ) d x = 0 T Ω g ( x ) φ ( x , τ ) d x d τ + k = 1 n ( k 1 ) h k h Ω g ( x ) ( φ ( x , k h ) φ ( x , τ ) ) d x d τ 0 T Ω g φ ( x , τ ) d x d τ , as h 0 .
Therefore, let h converge to 0 and use above mentioned convergence result, we obtain from (20) that
0 T Ω u φ t d x d τ Ω u 0 ( x ) φ ( x , 0 ) d x + 0 T Ω ξ · φ d x d τ + λ 0 T Ω | u | q ( x ) 2 u φ d x d τ = 0 T Ω f ( x , u ) φ d x d τ + 0 T Ω g φ d x d τ .
Now, we choose φ C 0 ( Ω T ) , then (24) reduces to
0 T Ω u φ t d x d τ = 0 T Ω ξ · φ d x d τ λ 0 T Ω | u | q ( x ) 2 u φ d x d τ + 0 T Ω f ( x , u ) φ d x d τ + 0 T Ω g φ d x d τ ,
and it immediately shows
u t L ( p ) ( 0 , T ; D 1 , p ( · ) ( Ω ) ) + L q ( · ) ( Ω T ) .
Finally, by combining (19) and (26), we obtain
u C ( [ 0 , T ] ; L 2 ( Ω ) ) .
Step 3. The function u is a weak solution. It is enough for us to prove ξ = | u | p ( x ) 2 u a.e. in Ω T . By taking u as a test function in (24), we have
u 0 L 2 ( Ω ) 2 u ( T ) L 2 ( Ω ) 2 2 + 0 T Ω ξ · u d x d τ + λ 0 T Ω | u | q ( x ) d x d τ = 0 T Ω f ( x , u ) u d x d τ + 0 T Ω g u d x d τ .
Denote A u = | u | p ( x ) 2 u and recall the following elementary inequality
( | ξ | p 2 ξ | η | p 2 η ) ( ξ η ) 0 , for   all ξ , η R N ,
we see that
Ω ( A u k A v ( τ ) ) · ( u k v ( τ ) ) d x 0 ,
for each k = 1 , 2 , , n , and every v L p ( 0 , T ; D 0 1 , p ( · ) ( Ω ) ) . From (10), we obtain
1 h Ω ( u k u k 1 ) u k d x + Ω A u k · v ( τ ) d x + Ω A v ( τ ) · ( u k v ( τ ) ) d x + λ Ω | u k | q ( x ) d x Ω f ( x , u k ) u k d x Ω g u k d x 0 .
Applying the estimates
Ω ( u k u k 1 ) u k d x = Ω | u k | 2 d x Ω u k u k 1 d x u k L 2 ( Ω ) 2 u k 1 L 2 ( Ω ) 2 2 ,
and then integrating (30) with respect to time over ( ( k 1 ) h , k h ] , we have
u k L 2 ( Ω ) 2 u k 1 L 2 ( Ω ) 2 2 + ( k 1 ) h k h Ω A u k · v ( τ ) d x d τ + ( k 1 ) h k h Ω A v ( τ ) · ( u k v ( τ ) ) d x d τ + λ ( k 1 ) h k h Ω | u k | q ( x ) d x d τ ( k 1 ) h k h Ω f ( x , u k ) u k d x d τ ( k 1 ) h k h Ω g u k d x d τ 0 .
Summing up the above inequalities for k = 1 , 2 , , n , we obtain
u h ( T ) L 2 ( Ω ) 2 u 0 L 2 ( Ω ) 2 2 + 0 T Ω A u h · v d x d τ + 0 T Ω A v · ( u h v ) d x d τ + λ 0 T Ω | u h | q ( x ) d x d τ 0 T Ω f ( x , u h ) u h d x d τ + 0 T Ω g u h d x d τ .
Passing to limits as h 0 and noting
u ( T ) L 2 ( Ω ) lim inf h 0 u h ( T ) L 2 ( Ω ) , 0 T Ω | u | q ( x ) d x d τ lim inf h 0 0 T Ω | u h | q ( x ) d x d τ ,
we obtain that
u ( T ) L 2 ( Ω ) 2 u 0 L 2 ( Ω ) 2 2 + 0 T Ω ξ · v d x d τ + 0 T Ω A v · ( u v ) d x d τ + λ 0 T Ω | u | q ( x ) d x d τ 0 T Ω f ( x , u ) u d x d τ + 0 T Ω g u d x d τ .
Let’s substitute (27) into (31), we have
u ( T ) L 2 ( Ω ) 2 + 0 T Ω ξ · ( v u ) d x d τ + 0 T Ω A v · ( u v ) d x d τ 0 ,
and further that
0 T Ω ( ξ A v ) · ( u v ) d x d τ u ( T ) L 2 ( Ω ) 2 0 .
By choosing v = u ζ w for any ζ > 0 , w L p ( 0 , T ; D 0 1 , p ( · ) ( Ω ) ) in the above inequality, one has
0 T Ω ( ξ A ( u ζ w ) ) · w d x d τ 0 .
Passing to limits as ζ 0 and using Lebesgue’s dominated convergence theorem, we obtain
0 T Ω ( ξ A u ) · ψ d x d τ 0 ,
for every ψ L p ( 0 , T ; D 0 1 , p ( · ) ( Ω ) ) . Thus, we conclude that ξ = A u a.e. in Ω T . Therefore, we finish the proof of the existence of weak solutions.
Step 4. The uniqueness of the weak solution. Suppose there exist two weak solutions u and v to problem (1) with (4), then u v satisfies the following problem
( u v ) t div ( | u | p ( x ) 2 u | v | p ( x ) 2 v ) + λ ( | u | q ( x ) 2 u | v | q ( x ) 2 v ) = f ( x , u ) f ( x , v ) , in Ω × R + , u v = 0 , on Ω × R + , u ( x , 0 ) v ( x , 0 ) = 0 , in Ω .
Choosing u v as a test function in the above problem, we obtain from condition (3) that
1 2 d d t u v L 2 ( Ω ) 2 + Ω ( | u | p ( x ) 2 u | v | p ( x ) 2 v ) · ( u v ) d x + λ Ω ( | u | q ( x ) 2 u | v | q ( x ) 2 v ) ( u v ) d x = Ω ( f ( x , u ) f ( x , v ) ) ( u v ) d x l 2 Ω | u v | 2 d x = l 2 u v L 2 ( Ω ) 2 .
Discarding the nonnegative term and using Gronwall inequality, we have
u v L 2 ( Ω ) 2 ( t ) e 2 l 2 t u 0 v 0 L 2 ( Ω ) 2 = 0
for every t ( 0 , T ) , which implies u = v a.e. in Ω T . Therefore, we obtain the uniqueness of weak solutions. □
Proposition 2.
If the conditions (2) and (3) are satisfied, then for any u 0 L 2 ( R N ) and a smooth function g, there exists a unique weak solution u to (1) for any fixed T > 0 .
Proof. 
We use the standard domain expansion technique to get the desired result. The proof is along with the idea of Babin–Vishik (see [36,37]). For the convenience of the readers, we give the detail below. Let u R , R + be the sequence of solutions of the (1) on the B R = { x R N , | x | R } with the initial data u 0 , R = ψ ( | x | ) u 0 ( x ) , where ψ ( ξ ) is a smooth function and satisfies
ψ ( ξ ) = 1 as | ξ | R 1 ; ψ ( ξ ) = 0 as | ξ | R ; 0 ψ ( ξ ) 1 and | ψ ( k ) ( ξ ) | C k .
Note that
u 0 u 0 , R L 2 ( R N ) 2 = R N ( 1 ψ ( | x | ) ) 2 | u 0 | 2 d x { | x | > R 1 } | u 0 | 2 d x 0 as R .
We use the method of difference variation to obtain the weak solution, where the original equation is replaced by u k u k 1 h with u t and u with u k , which satisfies (10)–(14). For u 0 , R L 2 ( B R ) , we see the estimates (10)–(14) are true uniformly with respect to R. Define these functions as zero for | x | R and denote functions so extended multiplied by ψ ( | x | ) , by u R . From (10)–(14), it follows that there exists a subsequence u j = u R j of u R , which is weakly convergent in L p ( 0 , T ; D 0 1 , p ( · ) ( B R ) ) L q ( · ) ( 0 , T ; L q ( · ) ( B R ) ) and ∗-weakly convergent in L ( 0 , T ; L 2 ( B R ) ) .
Denote the limit of u j by u = u ( x , t ) . For every fixed R = R k , denote by u k j = L k u j the restriction on B R k × [ 0 , T ] of u j , L k is the operator of restriction. For L k u j , the estimates (10)–(14) are valid, where the norms are on the domain B R k . From estimates (10)–(14), it follows that there exists a subsequence u j 1 , such that L k u j 1 is weakly convergent in the above mentioned spaces. Denote the limit of L k u j 1 by u k . Since
0 T B R L k u j 1 v ( x , t ) d x d t = 0 T R N u j 1 v ( x , t ) d x d t ,
for any v C 0 ( B R × [ 0 , T ] ) , we have u k = L k u . As in the case of a bounded domain, we prove that L k u is a solution of (1) in B R × [ 0 , T ] in the class of distributions, so that we have
0 T R N u t v ( x , t ) d x d τ + 0 T R N | u | p ( x ) 2 u · v ( x , t ) d x d τ + λ 0 T R N | u | q ( x ) 2 u v ( x , t ) d x d τ = 0 T R N f ( x , u ) v ( x , t ) d x d τ + 0 T R N g v ( x , t ) d x d τ ,
for any v C 0 ( B R 1 × [ 0 , T ] ) .
Since R is arbitrary, we deduce that (33) is fulfilled for arbitrary v C 0 ( [ 0 , T ] × R N ) , and u is a solution of (1). From (32), we see that the solution satisfies (1). In estimates (10)–(14) we pass to the limit as R and we find that these estimates are true for u = u .
The proof of this proposition is finished. □

4. Proof of the Entropy Solution

In this section, we consider the following related approximate problem
u t n div ( | u n | p ( x ) 2 u n ) + λ | u n | q ( x ) 2 u n = f ( x , u n ) + g n , in R N × R + , u n ( x , 0 ) = u 0 n , in R N ,
where { g n } n N , { u 0 n } n N are smooth approximations of g and u 0 , respectively, satisfying
u 0 n L 1 ( R N ) u 0 L 1 ( R N ) , g n L 1 ( R N ) g L 1 ( R N ) .
By Propositions 1 and 2, we obtain the approximate solutions u n when the initial value u 0 n L 2 ( R N ) , g n is a smooth function. Due to the initial value u 0 n converges to u 0 , the g n converges to g in L 1 -norm, we verify u is an entropy solution of (1). Next, we give the definition of entropy solutions firstly.
Definition 2.
A function u ( x , t ) is called an entropy solution to problem (1), if for any T > 0 ,
(1) 
u C ( [ 0 , T ] ; L 1 ( R N ) ) ,
(2) 
f ( x , u ) L 1 ( Q T ) ,
(3) 
T k ( u ) L p ( 0 , T ; W 0 1 , p ( · ) ( R N ) ) L q ( · ) ( Q T ) ,
(4) 
T k ( u ) ( L p ( · ) ( Q T ) ) N ,
and
R N Φ k ( u φ ) ( T ) d x R N Φ k ( u 0 φ ( 0 ) ) d x + 0 T φ t , T k ( u φ ) d t + Q T | u | p ( x ) 2 u · T k ( u φ ) d x d t + λ Q T | u | q ( x ) 2 u T k ( u φ ) d x d t = Q T f ( x , u ) T k ( u φ ) d x d t + Q T g T k ( u φ ) d x d t ,
holds for all k > 0 and φ C 0 1 ( Q T ) .
Proof of Theorem 1.
We divide the proof into several steps.
Step 1.  T h e c o n v e r g e n c e o f { u n } i n C ( [ 0 , T ] ; L 1 ( R N ) )
Let n and m be two integers, then by (34), we have
R N ( u n u m ) t φ d x + R N ( | u n | p ( x ) 2 u n | u m | p ( x ) 2 u m ) · φ d x + λ R N ( | u n | q ( x ) 2 u n | u m | q ( x ) 2 u m ) φ d x = R N ( f ( x , u n ) f ( x , u m ) ) φ d x + R N ( g n g m ) φ d x ,
for all φ L p ( 0 , T ; D 0 1 , p ( x ) ( Ω ) ) L ( Q T ) with φ ( L p ( x ) ( Q T ) ) N . Choosing φ = 1 k T k ( u n u m ) in (35), we get
R N ( u n u m ) t 1 k T k ( u n u m ) d x + 1 k R N ( | u n | p ( x ) 2 u n | u m | p ( x ) 2 u m ) · T k ( u n u m ) d x + λ k R N ( | u n | q ( x ) 2 u n | u m | q ( x ) 2 u m ) T k ( u n u m ) d x = 1 k R N ( f ( x , u n ) f ( x , u m ) ) T k ( u n u m ) d x + 1 k R N ( g n g m ) T k ( u n u m ) d x .
By elementary inequality (28), the second term on the left-hand side of (36) estimates
R N ( | u n | p ( x ) 2 u n | u m | p ( x ) 2 u m ) · T k ( u n u m ) d x = { x R N , | u n u m | < k } ( | u n | p ( x ) 2 u n | u m | p ( x ) 2 u m ) · ( u n u m ) d x 0 .
Due to T k ( u n u m ) = s g n ( u n u m ) | T k ( u n u m ) | , the third term on the left-hand side of (36) reads
= = R N ( | u n | q ( x ) 2 u n | u m | q ( x ) 2 u m ) T k ( u n u m ) d x = R N ( | u n | q ( x ) 2 u n | u m | q ( x ) 2 u m ) s g n ( u n u m ) | T k ( u n u m ) | d x 0 .
By virtue of condition (3), the terms on the right-hand side of (36) shows
= = 1 k R N ( f ( x , u n ) f ( x , u m ) ) T k ( u n u m ) d x = 1 k R N ( f ( x , u n ) f ( x , u m ) ) s g n ( u n u m ) | T k ( u n u m ) | d x l 2 k R N | u n u m | | T k ( u n u m ) | d x ,
1 k R N ( g n g m ) T k ( u n u m ) d x R N | g n g m | d x = g n g m L 1 ( R N ) .
Inserting (37)–(40) into (36) and then after discarding, we obtain
R N ( u n u m ) t 1 k T k ( u n u m ) d x l 2 k R N | u n u m | | T k ( u n u m ) | d x + g n g m L 1 ( R N ) ,
that is,
d d t ( { | u n u m | < k } 1 2 k | u n u m | 2 + { | u n u m | k } | u n u m | d x ) 2 l 2 { | u n u m | < k } 1 2 k | u n u m | 2 + l 2 { | u n u m | k } | u n u m | d x + g n g m L 1 ( R N ) 2 l 2 ( { | u n u m | < k } 1 2 k | u n u m | 2 + { | u n u m | k } | u n u m | d x ) + g n g m L 1 ( R N ) .
By Gronwall’s inequality, we obtain
{ | u n u m | < k } 1 2 k | u n u m | 2 + { | u n u m | k } | u n u m | d x e 2 l 2 t ( { | u 0 n u 0 m | < k } 1 2 k | u 0 n u 0 m | 2 + { | u 0 n u 0 m | k } | u 0 n u 0 m | d x ) + 1 2 l 2 e 2 l 2 t g n g m L 1 ( R N ) e 2 l 2 t ( { | u 0 n u 0 m | < k } | u 0 n u 0 m | + { | u 0 n u 0 m | k } | u 0 n u 0 m | d x ) + 1 2 l 2 e 2 l 2 t g n g m L 1 ( R N ) = e 2 l 2 t u 0 n u 0 m L 1 ( R N ) + 1 2 l 2 e 2 l 2 t g n g m L 1 ( R N ) : = a n , m .
Let k converge to 0, we then conclude that
R N | u n u m | d x a n , m .
Since { g n } , { u 0 n } are convergent in L 1 , we have a n , m 0 for n , m + . Thus, { u n } is a Cauchy sequence in C ( [ 0 , T ] ; L 1 ( R N ) ) and u n converges to u in C ( [ 0 , T ] ; L 1 ( R N ) ) . Then, we get the first item in the definition of entropy solution. Moreover, we find an a.e. convergent subsequence (still denoted by { u n } ) in Q T such that
u n u a . e . in Q T ,
and
T k ( u n ) T k ( u ) a . e . in Q T .
Step 2.  U p t o a s u b s e q u e n c e , f ( x , u n ) c o n v e r g e s t o f ( x , u ) i n L 1 ( Q T ) f o r a n y T > 0 .
Since for a.e. x R N , the map u f ( x , u ) is continuous. Then, we have from (41) that
f ( x , u n ) f ( x , u ) a . e . in Q T .
From condition (3), l = max { l 1 , l 2 } , and u n u strongly   in   L 1 ( Q T ) , we have
Q T | f ( x , u n ) f ( x , u ) | d x d t l Q T | u n u | d x d t < ε ,
as n . Then, we obtain that
f ( x , u n ) f ( x , u ) strongly   in   L 1 ( Q T ) .
Therefore, we obtain the second item in the definition of entropy solution.
Step 3.  T h e c o n v e r g e n c e o f | u n | q ( x ) 2 u n | u | q ( x ) 2 u in L 1 ( Q T ) .
On one hand, by choosing T k ( u n ) as a test function in (34), we have
R N Φ k ( u n ) ( T ) d x R N Φ k ( u 0 n ) d x + 0 T R N | T k ( u n ) | p ( x ) d x d t + λ 0 T R N | u n | q ( x ) 1 | T k ( u n ) | d x d t = 0 T R N f ( x , u n ) T k ( u n ) d x d t + 0 T R N g n T k ( u n ) d x d t .
Applying the fact Φ k ( r ) 0 , Φ k ( r ) k | r | and f ( x , s ) s 0 , we have
0 T R N | T k ( u n ) | p ( x ) d x d t k T g L 1 ( R N ) + k u 0 L 1 ( R N ) C k ,
λ 0 T R N | u n | q ( x ) 1 | T k ( u n ) | d x d t k T g L 1 ( R N ) + k u 0 L 1 ( R N ) C k .
By above inequalities, we have the boundedness
Q T | u n | q ( x ) 1 d x d t = { | u n | k } | u n | q ( x ) 1 d x d t + { | u n | k } | u n | q ( x ) 1 d x d t max { k q + 2 , k q 2 } { | u n | k } | u n | d x d t + 1 k { | u n | k } | u n | q ( x ) 1 | T k ( u n ) | d x d t C .
In view of (41), we conclude that
u n u weakly   in L q ( x ) 1 ( Q T ) .
On the other hand, by integrating (36) with respect to time, we get
R N 1 k Φ k ( u n u m ) ( T ) d x + 1 k Q T ( | u n | p ( x ) 2 u n | u m | p ( x ) 2 u m ) · T k ( u n u m ) d x d t + λ k Q T ( | u n | q ( x ) 2 u n | u m | q ( x ) 2 u m ) T k ( u n u m ) d x d t Q T | f ( x , u n ) f ( x , u m ) | d x d t + T R N | g n g m | d x + R N | u 0 n u 0 m | d x .
Similar to before, we obtain
E ( n ) = 1 k Q T ( | u n | q ( x ) 2 u n | u m | q ( x ) 2 u m ) T k ( u n u m ) d x d t 1 λ ( Q T | f ( x , u n ) f ( x , u m ) | d x d t + T R N | g n g m | d x + R N | u 0 n u 0 m | d x ) : = b n , m .
Since f ( x , u n ) f ( x , u ) in   L 1 ( Q T ) , g n g in   L 1 ( R N ) , u 0 n u 0 in   L 1 ( R N ) , we have b n , m 0 , as n , m + , i.e., E ( n ) 0 , as n , m + .
Moreover, we also note that
Q T | u n u m | q ( x ) 1 d x d t = { | u n u m | k } | u n u m | q ( x ) 1 d x d t + { | u n u m | k } | u n u m | q ( x ) 1 d x d t max { k q + 2 , k q 2 } Q T | u n u m | d x d t + 1 k { | u n u m | k } | u n u m | q ( x ) 1 | T k ( u n u m ) | d x d t .
Next, we deal with the second term on the right side of the above inequality. We first recall the well-known inequalities:
c ( p ) | a b | p ( | a | p 2 a | b | p 2 b ) ( a b ) , for   any   a , b R N , p 2 ,
and for every ε ( 0 , 1 ] , 1 < p < 2 ,
| a b | p c ( p ) ε ( p 2 ) / p ( | a | p 2 a | b | p 2 b ) ( a b ) + ε | b | p , for   any   a , b R N ,
where c ( p ) = 2 1 p p 1 when p 2 and c ( p ) = 3 2 p p 1 when 1 < p < 2 . Since q ( x ) 2 , we have
1 k { | u n u m | k : q ( x ) 2 } | u n u m | q ( x ) 1 | T k ( u n u m ) | d x d t q + 1 2 1 q + E 1 k ( | u n | q ( x ) 2 u n | u m | q ( x ) 2 u m ) sgn ( u n u m ) | T k ( u n u m ) | d x d t ( 2 q + 1 ) ( q + 1 ) E ( n ) 0 , as n , m ,
where E = { | u n u m | k : q ( x ) 2 } . Since { u n } is a Cauchy sequence in C ( [ 0 , T ] ; L 1 ( R N ) ) and (51) hold true, we then conclude that
Q T | u n u m | q ( x ) 1 d x d t 0 , as n , m + .
Therefore, { u n } is a Cauchy sequence in L q ( x ) 1 ( Q T ) . In view of (48), we obtain
| u n | q ( x ) 2 u n | u | q ( x ) 2 u strongly   in   L 1 ( Q T ) .
Step 4.  T h e c o n v e r g e n c e o f T k ( u n ) T k ( u ) strongly   in ( L p ( x ) ( Q T ) ) N .
We deduce from (46), (47) and | T k ( u n ) | | u n | that
0 T R N | T k ( u n ) | q ( x ) d x d t 0 T R N | u n | q ( x ) 1 | T k ( u n ) | d x d t C k ,
0 T min { T k ( u n ) L p ( x ) ( R N ) p + , T k ( u n ) L p ( x ) ( R N ) p } d t 0 T R N | T k ( u n ) | p ( x ) d x d t C k ,
and
0 T min { T k ( u n ) L p ( x ) ( R N ) p + , T k ( u n ) L p ( x ) ( R N ) p } d t 0 T R N | T k ( u n ) | p ( x ) d x d t max { k p + 1 , k p 1 } 0 T R N | u n | d x d t C ( k ) .
Then, we conclude that T k ( u n ) is bounded in L p ( 0 , T ; W 0 1 , p ( x ) ( R N ) ) L q ( x ) ( Q T ) . From (42), the third item of entropy solution is obviously.
Next, we prove the limit of u n meets the fourth item of entropy solution.
Since { u n } C ( [ 0 , T ] ; L 1 ( R N ) ) and | T k ( u n ) | | u n | , | T k ( u n ) | k , we have
0 T R N | T k ( u n ) | p * ( x ) d x d t max { k p * + 1 , k p * 1 } 0 T R N | T k ( u n ) | d x d t max { k p * + 1 , k p * 1 } 0 T R N | u n | d x d t C ( k ) ,
where p * ( x ) = N p ( x ) N p ( x ) . By virtue of boundedness of T k ( u n ) in L p * ( x ) ( Q T ) and T k ( u n ) in ( L p ( x ) ( Q T ) ) N , there is a subsequence ( still denoted by { u n } ) such that
T k ( u n ) T k ( u ) weakly   in L p * ( x ) ( Q T ) , T k ( u n ) ξ weakly   in ( L p ( x ) ( Q T ) ) N .
Then, we get
Q T T k ( u n ) · φ d x d t Q T ξ · φ d x d t ,
and
Q T T k ( u n ) · φ d x d t = Q T T k ( u n ) · φ d x d t Q T T k ( u ) · φ d x d t = Q T T k ( u ) · φ d x d t .
Thus, ξ = T k ( u ) a.e. in ( L p ( x ) ( Q T ) ) N , i.e.,
T k ( u n ) T k ( u ) weakly   in ( L p ( x ) ( Q T ) ) N ,
which means that we obtain the fourth item of entropy solution.
In order to get the result of this step, we refer to the regularization method which is given by Landes [38]. We introduce a time-regularization of function T k ( u ) , which is defined
( T k ( u ) ) μ ( x , t ) = μ t e μ ( s t ) T k ( u ( x , s ) ) d s ,
here, T k ( u ) is extended by 0 for s < 0 . It satisfies the following properties:
( T k ( u ) ) μ L p ( 0 , T ; W 0 1 , p ( x ) ( R N ) ) L ( Q T ) , ( T k ( u ) ) μ ( L p ( x ) ( Q T ) ) N , | ( T k ( u ) ) μ ( x , t ) | k ( 1 e μ t ) < k , ( ( T k ( u ) ) μ ) t = μ ( T k ( u ) ( T k ( u ) ) μ ) ,
and
( T k ( u ) ) μ T k ( u ) strongly   in   ( L p ( x ) ( Q T ) ) N .
Let us take a sequence { ψ j }   of   C 0 ( R N ) functions that strongly converge to u 0 in L 1 ( R N ) , and set
η μ , j ( u ) = ( T k ( u ) ) μ + e μ t T k ( ψ j ) .
The definition of η μ , j , which is a smooth approximation of T k ( u ) , is needed to deal with a nonzero initial datum (see also [22,39]). Note that this function has the following properties:
( η μ , j ( u ) ) t = μ ( T k ( u ) + η μ , j ( u ) ) , η μ , j ( u ) ( 0 ) = T k ( ψ j ) , | η μ , j ( u ) | k , η μ , j ( u ) T k ( u ) strongly   in   ( L p ( x ) ( Q T ) ) N , as   μ + .
We set
ω n = T 2 k ( u n T h ( u n ) + T k ( u n ) η μ , j ( u ) ) ,
and it is easy to see that ω n = 0 for | u n | > M = 4 k + h . Now, we choose ω n as test function in (34) with h > k > 0 , then it follows that
0 T u n t , ω n d t + Q T | T M ( u n ) | p ( x ) 2 T M ( u n ) · ω n d x d t + λ Q T | u n | q ( x ) 2 u n ω n d x d t = Q T f ( x , u n ) ω n d x d t + Q T g n ω n d x d t .
For the first term of (61), we have (see the detail proof of Lemma 2.1 in [39])
0 T u n t , ω n d t ω ( n , μ , j , h ) ,
where ω ( n , μ , j , h ) satisfies
lim h + lim j + lim μ + lim n + ω ( n , μ , j , h ) = 0 .
Combining (61) with (62), we have
Q T | T M ( u n ) | p ( x ) 2 T M ( u n ) · ω n d x d t Q T f ( x , u n ) ω n d x d t + Q T g n ω n d x d t λ Q T | u n | q ( x ) 2 u n ω n d x d t + ω ( n , μ , j , h ) .
Splitting the integral on the left-hand side on the set where | u n | < k and where | u n | k and discarding some nonnegative terms, we find
Q T | T M ( u n ) | p ( x ) 2 T M ( u n ) · T 2 k ( u n T h ( u n ) + T k ( u n ) η μ , j ( u ) ) d x d t Q T | T k ( u n ) | p ( x ) 2 T k ( u n ) · ( T k ( u n ) η μ , j ( u ) ) d x d t { | u n | k } | | T M ( u n ) | p ( x ) 2 T M ( u n ) | · | η μ , j ( u ) | d x d t .
Inserting above inequality into (63), one has
Q T | T k ( u n ) | p ( x ) 2 T k ( u n ) · ( T k ( u n ) η μ , j ( u ) ) d x d t { | u n | k } | | T M ( u n ) | p ( x ) 2 T M ( u n ) | · | η μ , j ( u ) | d x d t + Q T f ( x , u n ) ω n d x d t + Q T g n ω n d x d t λ Q T | u n | q ( x ) 2 u n ω n d x d t + ω ( n , μ , j , h ) .
Moreover, we get further
I ( n ) = def Q T ( | T k ( u n ) | p ( x ) 2 T k ( u n ) | T k ( u ) | p ( x ) 2 T k ( u ) ) · ( T k ( u n ) T k ( u ) ) d x d t { | u n | k } | | T M ( u n ) | p ( x ) 2 T M ( u n ) | · | η μ , j ( u ) | d x d t Q T | T k ( u ) | p ( x ) 2 T k ( u ) · ( T k ( u n ) T k ( u ) ) d x d t + Q T f ( x , u n ) T 2 k ( u n T h ( u n ) + T k ( u n ) η μ , j ( u ) ) d x d t + Q T g n T 2 k ( u n T h ( u n ) + T k ( u n ) η μ , j ( u ) ) d x d t λ Q T | u n | q ( x ) 2 u n T 2 k ( u n T h ( u n ) + T k ( u n ) η μ , j ( u ) ) d x d t + ω ( n , μ , j , h ) . = I 1 + I 2 + I 3 + I 4 + I 5 + ω ( n , μ , j , h ) .
Now, we show the limits of I 1 , I 2 , I 3 , I 4   and   I 5 are zero when n , μ , h   and   j tend to infinity, respectively.
L i m i t o f I 1 . We know that | T M ( u n ) | p ( x ) 2 T M ( u n ) is bounded in ( L p ( x ) ( Q T ) ) N , and by the dominated convergence theorem χ { | u n | k } | η μ , j ( u ) | converges strongly in L p ( x ) ( Q T ) to χ { | u | k } | T k ( u ) | , which is zero, as n , μ tends to infinity. Thus, we obtain
lim μ + lim n + I 1 = lim μ + lim n + { | u n | k } | | T M ( u n ) | p ( x ) 2 T M ( u n ) | | T k ( u ) | d x d t = 0 .
L i m i t o f I 2 . From (57), we have T k ( u n ) T k ( u ) weakly   in ( L p ( x ) ( Q T ) ) N , then
lim n + I 2 = 0 .
L i m i t o f I 3 . Notice that
I 3 Q T | f ( x , u n ) f ( x , u ) | | T 2 k ( u n T h ( u n ) + T k ( u n ) η μ , j ( u ) ) | d x d t + Q T | f ( x , u ) T 2 k ( u n T h ( u n ) + T k ( u n ) η μ , j ( u ) ) | d x d t 2 k Q T | f ( x , u n ) f ( x , u ) | d x d t + Q T | f ( x , u ) T 2 k ( u n T h ( u n ) + T k ( u n ) η μ , j ( u ) ) | d x d t .
For the first term on the right-hand side of the last inequality of (67), according to (43) we have
lim n + 2 k Q T | f ( x , u n ) f ( x , u ) | d x d t = 0 .
For the second term on the right-hand side of the last inequality of (67), and (41) and (42) hold, we get
f ( x , u ) T 2 k ( u n T h ( u n ) + T k ( u n ) η μ , j ( u ) ) f ( x , u ) T 2 k ( u T h ( u ) + T k ( u ) η μ , j ( u ) ) a . e . in   Q T ,
and
f ( x , u ) T 2 k ( u n T h ( u n ) + T k ( u n ) η μ , j ( u ) ) 2 k f ( x , u ) .
By Lebesgue dominated convergence theorem, we have
lim n + Q T | f ( x , u ) T 2 k ( u n T h ( u n ) + T k ( u n ) η μ , j ( u ) ) | d x d t = Q T | f ( x , u ) T 2 k ( u T h ( u ) + T k ( u ) η μ , j ( u ) ) | d x d t .
Since η μ , j is a smooth approximation of T k ( u ) , we obtain that
lim h + lim j + lim μ + lim n + | I 3 | lim h + Q T | f ( x , u ) T 2 k ( u T h ( u ) ) | d x d t = 0 .
L i m i t o f I 4 , I 5 . Similarly to L i m i t o f I 3 , for g n g   in   L 1 ( R N ) and (52) hold, we can conclude
lim h + lim j + lim μ + lim n + | I 4 | lim h + Q T | g T 2 k ( u T h ( u ) ) | d x d t = 0 ,
and
lim h + lim j + lim μ + lim n + | I 5 | lim h + Q T | | u | q ( x ) 2 u T 2 k ( u T h ( u ) ) | d x d t = 0 .
Therefore, passing to the limits in (64) as n , μ , j , h tend to infinity, by means of (65)–(70), we deduce that
lim n + I ( n ) = 0 .
Recalling the well-known inequalities (49) and (50), we have
{ ( x , t ) Q T : p ( x ) 2 } | T k ( u n ) T k ( u ) | p ( x ) d x d t ( 2 p + 1 ) ( p + 1 ) I ( n ) ,
and
{ ( x , t ) Q T : 1 < p ( x ) < 2 } | T k ( u n ) T k ( u ) | p ( x ) d x d t 3 2 p p 1 ε ( p 2 ) / p I ( n ) + ε Q T | T k ( u ) | p ( x ) d x d t .
Since I ( n ) 0   as   n + , then using the arbitrariness of ε and T k ( u ) is bounded in ( L p ( x ) ( Q T ) ) N , we conclude that
lim n + Q T | T k ( u n ) T k ( u ) | p ( x ) d x d t = 0 ,
which implies that, for every k > 0 ,
T k ( u n ) T k ( u ) strongly   in   ( L p ( x ) ( Q T ) ) N .
Step 5.  T h e i n t e g r a l i n d e n t i t y .
Taking T k ( u n φ ) as a test function in (34), we have
R N Φ k ( u n φ ) ( T ) d x R N Φ k ( u 0 n φ ( 0 ) ) d x + 0 T φ t , T k ( u n φ ) d t + 0 T R N | u n | p ( x ) 2 u n · T k ( u n φ ) d x d t + λ 0 T R N | u n | q ( x ) 2 u n T k ( u n φ ) d x d t = 0 T R N f ( x , u n ) T k ( u n φ ) d x d t + 0 T R N g n T k ( u n φ ) d x d t .
We will prove the convergence term by term in (72). Because Φ k is Lipschitz continuous and u n converges to u in C ( [ 0 , T ] ; L 1 ( R N ) ) , then
R N Φ k ( u n φ ) ( T ) d x R N Φ k ( u φ ) ( T ) d x , R N Φ k ( u n φ ) ( 0 ) d x R N Φ k ( u 0 φ ( 0 ) ) d x ,
as n + . Since (71) hold, then there exists a constant L such that
Q T | u n | p ( x ) 2 u n · T k ( u n φ ) d x d t = Q T | T L ( u n ) | p ( x ) 2 T L ( u n ) · T k ( T L ( u n ) φ ) d x d t = { | T L ( u n ) φ | k } | T L ( u n ) | p ( x ) 2 T L ( u n ) · ( T L ( u n ) φ ) d x d t { | T L ( u ) φ | k } | T L ( u ) | p ( x ) 2 T L ( u ) · ( T L ( u ) φ ) d x d t = Q T | T L ( u ) | p ( x ) 2 T L ( u ) · T k ( T L ( u ) φ ) d x d t = Q T | u | p ( x ) 2 u · T k ( u φ ) d x d t .
From (44) and (52), as n + , we conclude that
0 T R N f ( x , u n ) T k ( u n φ ) d x d t 0 T R N f ( x , u ) T k ( u φ ) d x d t ,
and
0 T R N | u n | q ( x ) 2 u n T k ( u n φ ) d x d t 0 T R N | u | q ( x ) 2 u T k ( u φ ) d x d t .
Then, let n + in (72), we obtain
R N Φ k ( u φ ) ( T ) d x R N Φ k ( u 0 φ ( 0 ) ) d x + 0 T φ t , T k ( u φ ) d t + 0 T R N | u | p ( x ) 2 u · T k ( u φ ) d x d t + λ 0 T R N | u | q ( x ) 2 u T k ( u φ ) d x d t = 0 T R N f ( x , u ) T k ( u φ ) d x d t + 0 T R N g T k ( u φ ) d x d t .
Therefore, we prove that u is an entropy solution to problem (1).
Step 6. The uniqueness of the entropy solution.
Assume that there is another entropy solution v to the problem (1). For any T > 0 , setting φ = u n in (73), we have
R N Φ k ( v u n ) ( T ) d x R N Φ k ( u 0 u n ( 0 ) ) d x + 0 T u t n , T k ( v u n ) d t + 0 T R N | v | p ( x ) 2 v · T k ( v u n ) d x d t + λ 0 T R N | v | q ( x ) 2 v T k ( v u n ) d x d t = 0 T R N f ( x , v ) T k ( v u n ) d x d t + 0 T R N g T k ( v u n ) d x d t .
At the same time, we take T k ( v u n ) as a test function in (34) to obtain
0 T u t n , T k ( v u n ) d t + 0 T R N | u n | p ( x ) 2 u n · T k ( v u n ) d x d t + λ 0 T R N | u n | q ( x ) 2 u n T k ( v u n ) d x d t = 0 T R N f ( x , u n ) T k ( v u n ) d x d t + 0 T R N g n T k ( v u n ) d x d t .
Subtracting (75) from (74), it yields
R N Φ k ( v u n ) ( T ) d x R N Φ k ( u 0 u n ( 0 ) ) d x + 0 T R N ( | v | p ( x ) 2 v | u n | p ( x ) 2 u n ) · T k ( v u n ) d x d t + λ 0 T R N ( | v | q ( x ) 2 v | u n | q ( x ) 2 u n ) T k ( v u n ) d x d t = 0 T R N ( f ( x , v ) f ( x , u n ) ) T k ( v u n ) d x d t + 0 T R N ( g g n ) T k ( v u n ) d x d t .
Due to the properties of Φ k and the same initial condition for u n and v, as n , we get
R N Φ k ( v u n ) ( T ) d x R N Φ k ( v u ) ( T ) d x , R N Φ k ( v u n ) ( 0 ) d x 0 .
Moreover, the fact g n g   in   L 1 ( R N ) , | T k ( r ) | k process
0 T R N ( g g n ) T k ( v u n ) d x d t 0 ,
and from the assumptions on f, we obtain
0 T R N ( f ( x , v ) f ( x , u n ) ) T k ( v u n ) d x d t 0 T R N l 2 | v u n | | T k ( v u n ) | d x d t 2 l 2 0 T R N Φ k ( v u n ) d x d t .
Taking the limit n in (76) and discarding the nonnegative term, we deduce that
R N Φ k ( v u ) ( T ) d x 2 l 2 0 T R N Φ k ( v u ) d x d t .
Using the Gronwall’s inequality, we obtain
0 T R N Φ k ( v u ) d x d t e 2 l 2 t 0 T R N Φ k ( v u ) ( 0 ) d x d t = 0 ,
which implies that Φ k ( v u ) ( t ) = 0 for all t [ 0 , T ] . Thus, we have u = v a.e. in Q T . Therefore, we obtain the uniqueness of entropy solutions. This finishes the proof. □

Author Contributions

Writing—original draft, Z.C.; Writing—review & editing, B.S. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Natural Science Foundation of Zhejiang Province (No. LY20A010003) and NSFC 11671364, 11501517.

Data Availability Statement

Not applicable.

Acknowledgments

The authors sincerely thank the referee for his or her valuable suggestions and comments on this paper.

Conflicts of Interest

The authors declare no conflict of interest.

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Chen, Z.; Shen, B. The Existence of Entropy Solutions for a Class of Parabolic Equations. Mathematics 2023, 11, 3753. https://doi.org/10.3390/math11173753

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Chen Z, Shen B. The Existence of Entropy Solutions for a Class of Parabolic Equations. Mathematics. 2023; 11(17):3753. https://doi.org/10.3390/math11173753

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Chen, Zengfei, and Bingliang Shen. 2023. "The Existence of Entropy Solutions for a Class of Parabolic Equations" Mathematics 11, no. 17: 3753. https://doi.org/10.3390/math11173753

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