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ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu

EXISTENCE OF SOLUTIONS TO BURGERS EQUATIONS IN DOMAINS THAT CAN BE TRANSFORMED INTO

RECTANGLES

YASSINE BENIA, BOUBAKER-KHALED SADALLAH

Abstract. This work is concerned with Burgers equationtu+u∂xu−∂x2u= f (with Dirichlet boundary conditions) in the non rectangular domain Ω = {(t, x) R2; 0< t < T, ϕ1(t) < x < ϕ2(t)} (whereϕ1(t) < ϕ2(t) for all t [0;T]). This domain will be transformed into a rectangle by a regular change of variables. The right-hand side lies in the Lebesgue space L2(Ω), and the initial condition is in the usual Sobolev space H01. Our goal is to establish the existence, uniqueness and the optimal regularity of the solution in the anisotropic Sobolev space.

1. Introduction

One of the most important partial differential equations of the theory of nonlinear conservation laws, is the semilinear diffusion equation, called Burgers equation:

tu+u∂xu−ν∂x2u=f, (1.1) where ustands, generally, for a velocity, t the time variable, xthe space variable andν the constant of viscosity (or the diffusion coefficient). Homogeneous Burgers equation (equation (1.1) with f = 0), is one of the simplest models of nonlinear equations which have been studied.

The mathematical structure of this equation includes a nonlinear convection term u∂xu which makes the equation more interesting, and a viscosity term of higher order ∂x2uwhich regularizes the equation and produces a dissipation effect of the solution near a shock. When the viscosity coefficient vanishes, ν = 0, the Burgers equation reduced to the transport equation, which represents the inviscid Burgers equation∂tu+u∂xu=f.

The study of the equation (1.1) has a long history: In 1906, Forsyth, treated an equation which converts by some variable changes to the Burgers equation. In 1915, Bateman [2] introduced the equation (1.1): He was interested in the case when ν →0, and in studying the movement behavior of a viscous fluid when the viscosity tends to zero. Burgers (1948) has published a study on the equation (1.1) (which it owes his name), in his document [6] about modeling the turbulence phenomena. Using the transformation discovered later by [8] in 1951, about the

2010Mathematics Subject Classification. 35K58, 35Q35.

Key words and phrases. Semilinear parabolic problem; Burgers equation; existence;

uniqueness; anisotropic Sobolev space.

c

2016 Texas State University.

Submitted April 15, 2016. Published June 21, 2016.

1

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same time and independently by Hopf [10], (called the Hopf-Cole transformation), Burgers continued his study of what he called “nonlinear diffusion equation”. This study treated mainly the static aspects of the equation. The results of these works can be found in the book [5].

The objective of Burgers was to consider a simplified version of the incompress- ible Navier Stokes equation∂tu+ (u· ∇)u=ν∆u− ∇pby neglecting the pressure term.

Among the most interesting applications of the one-dimensional Burgers equa- tion, we mention traffic flow, growth of interfaces, and financial mathematics (see for example [11, 15]).

The nonlinear Burgers equation (1.1), withf = 0, can be converted to the linear heat equation and then explicitly solved by the Hopf-Cole transformation. We usually look for explicit solutions for the forced Burgers equation ∂tu+u∂xu− ν∂x2u=f, wheref(x, t) is the forcing term in a rectangular domain. In this work we are interested in proving a result of existence, uniqueness and regularity for the inhomogeneous Burgers problem.

Forf(x, t) =−λ∂xη(x, t), Burgers equation becomes

tu+u∂xu−ν∂x2u=−λ∂xη(x, t), (1.2) which is Burgers stochastic equation, whereη(x, t) stands for the white noise. Using the transformation u(x, t) = −λ∂xh(x, t), we find that (1.2) is equivalent to the equation of KPZ

th(x, t)−λ

2(∂xh(x, t))2−ν∂2xh(x, t) =η(x, t).

This equation has been introduced by Kardar, Parisi and Zhang in 1986, and quickly became the default model for random interface growth in physics.

In a paper by Morandi Cecchi et al. [12], the main result was the existence and uniqueness of a solution to the Burgers problem (with constant coefficients) in the anistropic Sobolev space

H1,2(R) =

u∈L2(R) :∂tu∈L2(R), ∂xu∈L2(R), ∂2xu∈L2(R) where R is a rectangle. The authors used a wrong inequality (namelyR

M(u− M)+(t)dx≤Mk(u−M)+(t)k2) at the end of the proof of Theorem 2 (maximum principle); the inequality appears in the line 14, page 165 (and line 15 page 167).

To rectify this part of the proof it suffices to show that u ∈ L(Q). The proof given by the authors remains true only whenf = 0 (but this was not the objective of their paper), this case being treated by Bressan in [3]. However, in our work, using another method, we prove a more general result concerning the existence, uniqueness and regularity of a solution to the Burgers problem with variable coef- ficients in a rectangle. Then, the existence, uniqueness and regularity of a solution to the Burgers problem in a domain that can be transformed into a rectangle.

Setting of the problem. Recall that Lp(0, a) andHm(0, a) are the usual spaces of Lebesgue and Sobolev, respectively, for 1 ≤ p ≤ ∞ and m ∈ Z. For any Banach space X, we define Lp(0, T;X) to be the space of measurable functions u: (0, T)→X such that

kukLp(0,T;X)=Z T 0

kukpXdt1/p

<∞

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for 1≤p <∞andkukL(0,T;X)= ess sup0<t<TkukX <∞ifp=∞. Lp(0, T;X) is a Banach space. Of course, we haveLp(R) =Lp(0, T;Lp(0, a)).

This article is concerned with two questions regarding the Burgers equation. The first one is to study the existence, uniqueness and regularity of the solution of the semilinear parabolic problem:

tu(t, x) +α(t)u(t, x)∂xu(t, x)−β(t)∂2xu(t, x) +γ(t, x)∂xu(t, x)

=f(t, x) (t, x)∈R,

u(0, x) =u0(x) x∈I, u(t,0) =u(t, a) = 0 t∈(0, T),

(1.3)

in the rectangle R=I×(0, T) where I= (0, a),a∈R+ (T is finite); f ∈L2(R) and u0 ∈ H01(I) are given functions. We assume that the functions α, β depend only ontand the functionγ depends ontandx. We also suppose that there exist positive constants (αi)i=1,2, (βi)i=1,2 andγ1, such that

α1≤α(t)≤α2, β1≤β(t)≤β2, ∀t∈[0, T]

and|∂xγ(t, x)| ≤γ1 or|γ(t, x)| ≤γ1 ∀(t, x)∈R. (1.4) The second question concerns the semilinear parabolic Burgers problem:

tu(t, x) +u(t, x)∂xu(t, x)−ν∂x2u(t, x) =f(t, x) in Ω, u|t=0=u0(x) x∈J,

u|x=ϕi(t)= 0 i= 1,2

(1.5)

in Ω⊂R2, such as

Ω ={(t, x)∈R2; 0≤t≤T, ϕ1(t)< x < ϕ2(t)}

whereJ = [ϕ1(0), ϕ2(0)] and ν is a positive constant,ϕ12 are functions defined on [0, T] belonging toC1(]0, T[). We assume thatϕ1(t)< ϕ2(t) fort∈[0, T].

Using the results obtained in the first part of this work, we look for conditions on the functions (ϕi)i=1,2which guarantee that problem (1.5) admits a unique solution u∈H1,2(Ω). In order to solve problem (1.5), we will follow the method which was used, for example, in Sadallah[13] and Clark et al. [7]. This method consists in proving that this problem admits a unique solution when Ω is transformed into a rectangle, using a change of variables preserving the anisotropic Sobolev space H1,2(Ω).

To establish the existence (and uniqueness) of the solution to (1.5), we impose the assumption

0(t)| ≤c for allt∈[0, T] (1.6) wherec is a positive constant, andϕ(t) =ϕ2(t)−ϕ1(t) for all t∈[0, T].

The result related to the existence of the solution u of (1.3) in a rectangle is obtained thanks to a personal (and detailed) communication of professor Luc Tartar about the Burgers equation with constant coefficients in a rectangle. The authors would like to thank him for his appreciate comments and hints. Our main result is as follows:

Theorem 1.1. Ifu0∈H01(I),f ∈L2(R)andα, β,γsatisfy the assumption (1.4), then problem (1.3)admits a (unique) solution u∈H1,2(R).

Theorem 1.2. Ifu0∈H01(J),f ∈L2(Ω)andϕ12 satisfy the assumption (1.6), then problem (1.5)admits a (unique) solution u∈H1,2(Ω).

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The proof of Theorem 1.1 is based on the Faedo-Galerkin method. We introduce approximate solution by reduction to the finite dimension. By the Faedo-Galerkin method, we obtain the existence of an approximate solution using an existence theorem of solutions for a system of ordinary differential equations. We approximate the equation of problem (1.3) by a simple equation. Then we make the passage to the limit using a compactness argument. The proof of Theorem 1.2 needs an appropriate change of variables which allows us to use Theorem 1.1.

2. Proof of Theorem 1.1

Multiplying the equation of problem (1.3) by a test function w ∈ H01(I), and integrating by parts from 0 toa, we obtain

Z a

0

tuwdx+α(t) Z a

0

u∂xuwdx +β(t)

Z a

0

xu∂xwdx+ Z a

0

γ(t, x)∂xuwdx

= Z a

0

f wdx, ∀w∈H01(I), t∈(0, T),

(2.1)

This is the weak formulation of problem (1.3). The solution of (2.1) satisfying the conditions of problem (1.3) is calledweak solution.

To prove the existence of a weak solution to (1.3), we choose the basis (ej)j∈N?

ofL2(I) defined as a subset of the eigenfunctions of−∂x2 for the Dirichlet problem

−∂x2ejjej, j∈N, ej= 0 on Γ ={0, a}.

More precisely,

ej(x) =

√2

√asinjπx

a , λj= (jπ

a)2, forj∈N.

As the family (ej)j∈N? is an orthonormal basis of L2(I), then it is an orthogonal basis ofH01(I). In particular, forv∈L2(R), we can write

v=

X

k=1

bk(t)ek,

where bk = (v, ek)L2(I) and the series converges inL2(I). Then, we introduce the approximate solutionun by

un(t) =

n

X

j=1

cj(t)ej,

un(0) =u0n=

n

X

j=1

cj(0)ej,

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which has to satisfy the approximate problem Z a

0

tunejdx+α(t) Z a

0

unxunejdx +β(t)

Z a

0

xunxejdx+ Z a

0

γ(t, x)∂xunejdx

= Z a

0

f ejdx,

un(0) =u0n.

(2.2)

for allj= 1, . . . , n, and0≤t≤T.

Remark 2.1. The coefficientscj(0) (which depend onjandn) will be chosen such that the sequence (u0n) converges inH01(I) tou0. Then we suppose in the sequel that limu0n=u0in H01(I).

2.1. Solution of the approximate problem.

Lemma 2.2. For allj, there exists a unique solution un of Problem (2.2).

Proof. Ase1,· · · , en are orthonormal inL2(I), then Z a

0

tunejdx=

n

X

i=1

c0i(t) Z a

0

eiejdx=c0j(t).

On the other hand,−∂x2eiiei, then ∂x2un(t) =−Pn

i=1ci(t)λiei. Therefore, for allt∈[0, T],

−β(t) Z a

0

x2unejdx=β(t)

n

X

i=1

ci(t)λi

Z a

0

eiejdx=β(t)λjcj(t).

Now, if we introduce fj(t) =

Z a

0

f ejdx, kj(t) =−α(t) Z a

0

unxunejdx, hj(t) =−

Z a

0

γ(t, x)∂xunejdx,

forj ∈ {1, . . . , n}, then (2.2) is equivalent to the following system ofn uncoupled linear ordinary differential equations:

c0j(t) =−β(t)λjcj(t) +kj(t) +hj(t) +fj(t), j= 1, . . . , n. (2.3) Observe that the terms kj(t), hj(t) are well defined (because ej and γ(t, x) are regular) andfj is integrable (because f ∈L2(R)). Taking into account the initial conditioncj(0), for each fixedj∈ {1, . . . , n}, (2.3) has a unique regular solutioncj

in some interval (0, T0) withT0 ≤T. In fact, we can prove here thatT0=T. 2.2. A priori estimate.

Lemma 2.3. There exists a positive constantK1 independent of n, such that for allt∈[0, T]

kunk2L2(I)1

Z t

0

k∂xun(s)k2L2(I)ds≤K1.

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Proof. Multiplying (2.2) bycj and summing forj= 1, . . . , n, we obtain 1

2 d dt

Z a

0

u2ndx+β(t) Z a

0

(∂xun)2dx−1 2

Z a

0

xγ(t, x)u2ndx= Z a

0

f undx.

Indeed, because of the boundary conditions, we have α(t)

Z a

0

u2nxundx=α(t) 3

Z a

0

x(un)3dx= 0, and an integration by parts gives

−1 2

Z a

0

xγ(t, x)u2ndx= Z a

0

γ(t, x)unxundx.

Then, by integrating with respect tot (t∈(0, T)), and according to (1.4), we find that

1

2kunk2L2(I)1

Z t

0

k∂xun(s)k2L2(I)ds

≤1

2ku0nk2L2(I)+ Z t

0

kf(s)kL2(I)kun(s)kL2(I)ds+γ1 2

Z t

0

kun(s)k2L2(I)ds.

Using Poincar´e’s inequality

kunk2L2(I)≤ a2

2 k∂xunk2L2(I), both with the elementary inequality

|rs| ≤ ε 2r2+s2

2ε, ∀r, s∈R, ∀ε >0, (2.4) withε= a21, we obtain

kunk2L2(I)1 Z t

0

k∂xun(s)k2L2(I)ds

≤ ku0nk2L2(I)+ a21

Z t

0

kf(s)k2L2(I)ds+γ1

Z t

0

kun(s)k2L2(I)ds, so

kunk2L2(I)1

Z t

0

k∂xun(s)k2L2(I)ds

≤ ku0nk2L2(I)+ a21

Z t

0

kf(s)k2L2(I)ds +γ1

Z t

0

kun(s)k2L2(I)1 Z s

0

k∂xun(τ)k2L2(I)dτ ds.

As the sequence (u0n) converges inH01(I) to u0 (see Remark 2.1) and f ∈L2(R), there exists a positive constantC1 independent ofnsuch that

ku0nk2L2(I)+ a21

kfk2L2(R)≤C1

and

kunk2L2(I)1

Z t

0

k∂xun(s)k2L2(I)ds

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≤C11

Z t

0

kun(s)k2L2(I)1

Z s

0

k∂xun(τ)k2L2(I)dτ ds, then by Gronwall’s inequality,

kunk2L2(I)1

Z t

0

k∂xun(s)k2L2(I)ds≤C1exp(γ1t).

TakingK1=C1exp(γ1T), we obtain kunk2L2(I)1

Z t

0

k∂xvn(s)k2L2(I)ds≤K1.

Lemma 2.4. There exists a positive constantK2 independent of n, such that for allt∈[0, T]

k∂xunk2L2(I)1 Z t

0

k∂x2un(s)k2L2(I)ds≤K2. Proof. As−∂x2ejjej, we deduce that

n

X

j=1

cj(t)λjej=−

n

X

j=1

cj(t)∂x2ej=−∂x2un(t),

then, multiplying both sides of (2.2) by cjλj and summing for j = 1, . . . , n, we obtain

1 2

d dt

Z a

0

(∂xun)2dx+β(t) Z a

0

(∂x2un)2dx

=− Z a

0

f ∂x2undx+ Z a

0

γ(t, x)∂xunx2undx+α(t) Z a

0

unxunx2undx.

(2.5)

Using Cauchy-Schwartz inequality, (2.4) withε=β1/2 leads to

| Z a

0

f ∂x2undx| ≤Z a 0

|∂2xun|2dx1/2Z a 0

|f|2dx1/2

≤β1

4 Z a

0

|∂x2un|2dx+ 1 β1

Z a

0

|f|2dx,

(2.6)

and

| Z a

0

γ(t, x)∂xunx2undx|= 1 2

Z a

0

xγ(t, x)∂xu2ndx ≤γ1

2 Z a

0

|∂xun|2dx. (2.7) Now, we have to estimate the last term of (2.5). An integration by parts gives

Z a

0

unxunx2undx= Z a

0

unx(1

2(∂xun)2) dx=−1 2

Z a

0

(∂xun)3dx.

Since∂xunsatisfiesRa

0xundx= 0 we deduce that the continuous function∂xun is zero at some pointy0n∈(0, a), and by integrating 2∂xunx2un betweeny0n and y, we obtain

|∂xun|2=| Z y

y0n

x(∂xun)2dx|= 2|

Z y

y0n

unx2undx|, the Cauchy-Schwartz inequality gives

k∂xunk2L(I)≤2k∂xunkL2(I)k∂x2unkL2(I).

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But

k∂xunk3L3(I)≤ k∂xunk2L2(I)k∂xunkL(I). So, (1.4) yields

| Z a

0

α(t)unxunx2undx| ≤Z a 0

|∂x2un|2dx1/4 α4/52

Z a

0

|∂xun|2dx5/4

. Finally, thanks to Young’s inequality|AB| ≤ |A|pp +|B|p

0

p0 , with 1< p <∞and p0=p−1p , we have

|AB|=|(β11/pA)(β1/p

0

1

B β1

)| ≤ β1

p|A|p+ β1

p0β1p0|B|p0. Choosingp= 4 (thenp0=43) in the previous formula,

A= ( Z a

0

|∂x2un|2dx)1/4, B= α4/52

Z a

0

|∂xun|2dx5/4 , the estimate of the last term of (2.5) becomes

| Z a

0

α(t)unxunx2undx| ≤ β1 4

Z a

0

|∂x2un|2dx+3 4

α4/32 β11/3

Z a

0

|∂xun|2dx5/3 . (2.8) Let us return to inequality (2.5): By integrating between 0 andt, from the estimates (2.6), (2.7), and (2.8) we obtain

k∂xunk2L2(I)1

Z t

0

k∂x2un(s)k2L2(I)ds

≤ k∂xu0nk2L2(I)+ 2 β1

Z t

0

kf(s)k2L2(I)ds +C2

Z t

0

k∂xun(s)k2L2(I)

5/3

ds+γ1

Z t

0

k∂xun(s)k2L2(I)ds, where C2 = 32α

4/3 2

β11/3. Observe that f ∈ L2(R)), and k∂xu0nk2L2(I) is bounded (see Remark 2.1). Then, there exists a constantC3 such that

k∂xunk2L2(I)1

Z t

0

k∂x2un(s)k2L2(I)ds

≤C3+C2

Z t

0

k∂xun(s)k2L2(I)

2/3

k∂xun(s)k2L2(I)ds+γ1

Z t

0

k∂xun(s)k2L2(I)ds.

Consequently, the function

ϕ(t) =k∂xunk2L2(I)1

Z t

0

k∂x2un(s)k2L2(I)ds satisfies the inequality

ϕ(t)≤C3+ Z t

0

(C2k∂xun(s)k4/3L2(I)1)ϕ(s)ds.

Gronwall’s inequality shows that ϕ(t)≤C3expZ t

0

(C2k∂xun(s)k4/3L2(I)1)ds .

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According to Lemma 2.3 the integral Rt

0k∂xunk4/3L2(I)ds is bounded by a constant independent ofn(andt). So there exists a positive constantK2 such that

k∂xunk2L2(I)1

Z t

0

k∂x2un(s)k2L2(I)ds≤K2.

Lemma 2.5. There exists a positive constantK3 independent of n, such that for allt∈[0, T]

k∂tunk2L2(R)≤K3. Proof. Let

gn=f −α(t)unxun+β(t)∂x2un−γ(t, x)∂xun.

To show that∂tun is bounded inL2(R), we will first show thatgn is bounded in L2(R). According to Lemmas 2.3 and 2.4, the termsγ(t, x)∂xunandβ(t)∂x2un are bounded in L2(R). On the other hand, by the hypothesisf ∈L2(R). It remains only to show thatα(t)unxun∈L2(R).

Lemma 2.3 proves thatkunk2L(0,T;H01(I)) is bounded. Then, using the injection ofH01(I) inL(I), we obtain

| Z T

0

Z a

0

(α(t)unxun)2dxdt| ≤α22 Z T

0

kunk2L(I)

Z a

0

|∂xun|2dx dt

≤α22CI

Z T

0

kunk2H1

0(I)k∂xunk2L2(I)dt

≤α22CIkunk2L(0,T;H01(I))k∂xunk2L2(R),

whereCI is a constant independent ofn. Hencegn is bounded in L2(R). So,∂tun

is also bounded inL2(R). Indeed, from (2.2) forj= 1, . . . , n, we have Z a

0

tunejdx= Z a

0

(f−α(t)unxun+β(t)∂y2un−γ(t, x)∂xun)ejdx,

= Z a

0

gnejdx,

multiplying both sides byc0j and summing forj= 1, . . . , n, k∂tunk2L2(I)=

Z a

0

gntundx,

we deduce thatk∂tunkL2(R)≤ kgnkL2(R). 2.3. Existence and uniqueness. Lemmas 2.3, 2.4 and 2.5 show that the Galerkin approximationun is bounded inL(0, T, L2(I)), and inL2(0, T, H2(I)), and∂tun is bounded inL2(R). So, it is possible to extract a subsequence from un (that we continue to denoteun) such that

un→u weakly inL2(0, T, H01(I)), (2.9) un →u strongly in L2(0, T, L2(I)) and a.e. in R, (2.10)

tun→∂tu strongly inL2(R). (2.11) Lemma 2.6. Under the assumptions of Theorem 1.1, problem (1.3)admits a weak solution u∈H1,2(R).

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Proof. Note that (2.11) implies Z T

0

Z a

0

tunwdxdt→ Z T

0

Z a

0

tuwdxdt, ∀w∈L2(R).

From (2.9) and (2.10),

unxun→u∂xu weakly in L2(R), then

Z T

0

Z a

0

α(t)unxunwdxdt→ Z T

0

Z a

0

α(t)u∂xuwdxdt, ∀w∈L2(R), and

Z T

0

Z a

0

γ(t, x)∂xunwdxdt→ Z T

0

Z a

0

γ(t, x)∂xuwdxdt, ∀w∈L2(R).

Our goal is to use these properties to pass to the limit. In problem (2.2), when n→+∞, for each fixed indexj, we have

Z a

0

tu+α(t)u∂xu

ejdx+β(t) Z a

0

xu∂xejdx+ Z a

0

γ(t, x)∂xuejdx

= Z a

0

f ejdx,

(2.12)

Since (ej)j∈Nis a base ofH01(I), for allw∈H01(I), we can write w(t) =

X

k=1

bk(t)ek, that is to saywN(t) =PN

k=1bk(t)ek→w(t) inH01(I) whenN →+∞.

Multiplying (2.12) bybk and summing fork= 1, . . . , N, then Z a

0

tu+α(t)u∂xu

wNdx+β(t) Z a

0

xu∂xwNdx+ Z a

0

γ(t, x)∂xuwNdx

= Z a

0

f wNdx.

LettingN→+∞, we deduce that Z a

0

tu+α(t)u∂xu

wdx+β(t) Z a

0

xu∂xwdx+ Z a

0

γ(t, x)∂xuwdx= Z a

0

f wdx, so,usatisfies the weak formulation (2.1) for allw∈H01(I) andt∈[0;T].

Finally, we recall that, by hypothesis, limn→+∞un(0) :=u0. This completes the

proof of the “existence” part of Theorem 1.1.

Lemma 2.7. Under the assumptions of Theorem 1.1, the solution of problem(1.3) is unique.

Proof. Let us observe that any solution u ∈ H1,2(R) of problem (1.3) is in u ∈ L(0, T, L2(I)). Indeed, it is not difficult to see that such a solution satisfies

1 2

d dt

Z a

0

u2dx+β(t) Z a

0

(∂xu)2dx−1 2

Z a

0

xγ(t, x)u2dx= Z a

0

f udx, because

α(t) Z a

0

u2xudx= α(t) 3

Z a

0

x(u)3dx= 0,

(11)

and Z a

0

γ(t, x)∂xuudx= Z a

0

γ(t, x)∂x(u2

2 ) dx=−1 2

Z a

0

xγ(t, x)u2dx.

Consequently (see the proof of Lemma 2.3) kuk2L2(I)1

Z t

0

k∂xu(s)k2L2(I)ds

≤ ku0k2L2(I)+ a21

Z t

0

kf(s)k2L2(I)ds+γ1

Z t

0

ku(s)k2L2(I)ds, so,

kuk2L2(I)1

Z t

0

k∂xu(s)k2L2(I)ds

≤ ku0k2L2(I)+ a21

Z t

0

kf(s)k2L2(I)ds +γ1

Z t

0

ku(s)k2L2(I)1 Z s

0

k∂xu(τ)k2L2(I)dτ ds.

Then there exist a positive constantCsuch that kuk2L2(I)1

Z t

0

k∂xu(s)k2L2(I)ds

≤C+γ1

Z t

0

ku(s)k2L2(I)1

Z s

0

k∂xu(τ)k2L2(I)dτ ds.

Hence, Gronwall’s lemma gives kuk2L2(I)1

Z t

0

k∂xu(s)k2L2(I)ds≤K,

whereK=Cexp(γ1T). This shows thatu∈L(0, T, L2(I)) for allf ∈L2(I).

Now, let u1, u2∈H1,2(R) be two solutions of (1.3). We put u=u1−u2. It is clear thatu∈L(0, T, L2(I)). The equations satisfied byu1andu2 lead to

Z a

0

[∂tuw+α(t)uw∂xu1+α(t)u2w∂xu+β(t)∂xu∂xw+γ(t, x)w∂xu] dx= 0.

Taking, fort∈[0, T],w=uas a test function, we deduce that 1

2 d

dtkuk2L2(I)+β(t)k∂xuk2L2(I)

=− Z a

0

γ(t, x)u∂xudx−α(t) Z a

0

u2xu1dx−α(t) Z a

0

u2u∂xudx.

(2.13)

An integration by parts gives α(t)

Z a

0

u2xu1dx=−2α(t) Z a

0

u∂xuu1dx, then (2.13) becomes

1 2

d

dtkuk2L2(I)+β(t)k∂xuk2L2(I)= 1 2

Z a

0

xγ(t, x)u2dx+ Z a

0

α(t)(2u1−u2)u∂xudx.

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By (1.4) and inequality (2.4) withε= 2β1, we obtain

| Z a

0

α(t)(2u1−u2)u∂xudx|

≤ 1 4β1

α22(2ku1kL(0,T ,L2(I))+ku2kL(0,T ,L2(I)))2kuk2L2(I)1k∂xuk2L2(I). Furthermore,

1 2

Z a

0

xγ(t, x)u2dx≤ γ1

2 kuk2L2(I).

So, we deduce that there exists a non-negative constantD, such as 1

2 d

dtkuk2L2(I)≤Dkuk2L2(I),

and Gronwall’s lemma leads tou= 0. This completes the proof.

3. Proof of the theorem 1.2 Let

Ω ={(t, x)∈R2; 0< t < T; ϕ1(t)< x < ϕ2(t)}, whereT is a positive finite number. The change of variables: Ω→R,

(t, x)7→(t, y) = (t, x−ϕ1(t) ϕ2(t)−ϕ1(t))

transforms Ω into the rectangle R =]0, T[×]0,1[. Putting u(t, x) = v(t, y) and f(t, x) =g(t, y), then problem (1.5) becomes

tv(t, y) + 1

ϕ(t)v(t, y)∂yv(t, y)

− ν

ϕ2(t)∂y2v(t, y) +γ(t, y)∂yv(t, y) =g(t, y) in R, v(0, y) =v0(y) =u01(0) +ϕ(0)y), y∈(0,1),

v(t,0) =v(t,1) = 0 t∈(0, T),

(3.1)

where

ϕ(t) =ϕ2(t)−ϕ1(t), γ(t, y) =−yϕ0(t) +ϕ01(t)

ϕ(t) .

Now, we take I = (0,1), α(t) = ϕ(t)1 , β(t) = ϕ2ν(t), then problem (3.1) can be written as

tv(t, y) +α(t)v(t, y)∂yv(t, y)−β(t)∂y2v(t, y) +γ(t, y)∂yv(t, y) =g(t, y) (t, y)∈R,

v(0, y) =v0(y) y∈I, v(t,1) =v(t,0) = 0 t∈(0, T),

It is easy to see that this change of variables preserves the spacesH01,H1,2andL2. In other words

f ∈L2(Ω) ⇔ g∈L2(R) u∈H1,2(Ω) ⇔ v∈H1,2(R)

u0∈H01(J) ⇔ v0∈H01(I)

(3.2)

(13)

Remark 3.1. Observe that the hypotheses (1.4) are fulfilled. This means that the functionsα, β andγ satisfy the following conditions

α1< α(t)< α2, ∀t∈[0, T], β1< β(t)< β2, ∀t∈[0, T],

|∂yγ(t, y)| ≤γ1, ∀(t, y)∈R.

So, Burgers problem (1.5) is equivalent to problem (3.1), and by Theorem 1.1, there exists a unique solution v ∈ H1,2(R) of problem (3.1). Then (3.2) implies that the nonhomogeneous Burgers problem (1.5) in the domain Ω admits a unique solutionu∈H1,2(R).

This work can be generalized to the case whenϕ1, ϕ2 are Lipshitz continuous functions on [0, T] instead ofC1(]0, T[). On the other hand, this is an interesting question: What happens if ϕ1(0) = ϕ2(0)? This is a singular case which needs some hypotheses onϕ12 neart= 0. In a forthcoming work, we will answer this question.

References

[1] R. A. Adams;Sobolev spaces, Academic Press, New York, 1975.

[2] H. Bateman;Some recent researches on the motion of fluids, Mon. Weather Rev. 43 (1915), 163-170.

[3] N. Bressan, A. Quarteroni;An implicit/explicit spectral method for Burgers equation, Calcolo, 23 (1987), 265-284.

[4] H. Brezis; Functional analysis, Sobolev spaces and partial differential equations, Springer, New York, 2011.

[5] J. M. Burgers;The nonlinear diffusion equation, Reidel, Dordrecht, 1974.

[6] J. M. Burgers;A mathematical model illustrating the theory of turbulence, Adv. Appl. Mech.

1 (1948) 171-199.

[7] H. R. Clark, M. A. Rincon, A. Silva;Analysis and numerical simulation of viscous Burgers equation, Numerical Functional Analysis and Optimization, 32:7 (2011) 695-716.

[8] J. D. Cole; On a quasi-linear parabolic equation occurring in aerodynamics, Quart. Appl.

Math.9 (1951) 225-236.

[9] A. R. Forsyth; Theory of differential equations, Part IV - Partial Differential Equations, Campridg University press, Cambridge, 1906, Republished by Dover, New York, 1959 [10] E. Hopf; The partial differential equation ut+uux = µuxx, Comm. Pure Appl. Math. 3

(1950) 201-230.

[11] J. Kevorkian;Partial differential equations: Analytical solution techniques, Brooks/Cole Pub.

Pacific Grove, California, 1990.

[12] M. Morandi Cecchi, R. Nociforo, P. Patuzzo; Burgers problems - Theoretical results, Rivista di Matematica Pura ed Applicata (1997), 159-174.

[13] B.-K. Sadallah;Etude d’un probl`´ eme2m-parabolique dans des domaines plan non rectangu- laires, Boll. U. M. I., (6), 2-B (1983), 51-112.

[14] R. Temam;Infinite-dimensional dynamical systems in mechanics and physics, Springer, New York, 1997.

[15] G. B. Whitham;Lectures on wave propagation, Narosa Pub. House, New Delhi, 1979.

Yassine Benia

Department of Mathematics, University of Tiaret, B.P. 78, 14000, Tiaret, Algeria E-mail address:[email protected]

Boubaker-Khaled Sadallah

Lab. PDE & Hist Maths; Dept of Mathematics, E.N.S., 16050, Kouba, Algiers, Algeria E-mail address:[email protected]

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