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Large time behavior of solutions to Neumann problem for a quasilinear second order degenerate parabolic equation in

domains with non compact boundary

D. Andreucci,

Dip. di Metodi e Modelli, Universit`a ”La Sapienza”

Via A. Scarpa 16, 00161 Roma, Italy

G. R. Cirmi, S. Leonardi, Dip. di Matematica, Citt`a Universitaria,

Viale A. Doria 6, 95125 Catania, Italy

A. F. Tedeev

Inst. Applied Mathematics, Academy of Sciences, R. Luxemburg st. 74, 340114 Donetsk, Ukraine

Appeared in Journal of Differential Equations, 174 (2001), pp.253–288.

Copyright c Academic Press 2001.

Abstract

We investigate the optimal rate of stabilization at large time of a solution to the Neumann problem

ut =PN

i=1

∂xi(ai(x, t, ∇u)) − b(x, t, u), in Ω × (0, T ), T > 0 PN

i=1ai(x, t, ∇u)ni= 0, on ∂Ω × (0, T ) u(x, 0) = u0(x) x ∈ Ω, u0(x) ≥ 0 in Ω

where Ω ⊂ RN, N ≥ 2, is an unbounded domain with sufficiently smooth noncompact boundary ∂Ω satisfying certain isoperimetrical inequality and n = (ni) is the outward normal to ∂Ω.

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1 Introduction

In this paper we consider the following Neumann problem ut =

N

X

i=1

∂xi

(ai(x, t, ∇u)) − b(x, t, u), in D = Ω × (0, +∞) (1)

N

X

i=1

ai(x, t, ∇u)ni = 0, on ∂Ω × (0, +∞) (2)

u(x, 0) = u0(x) in Ω, u0(x) ≥ 0 in Ω. (3) Here Ω ⊂ RN, N ≥ 2, is an unbounded domain with sufficiently smooth noncompact boundary ∂Ω and n = (ni) is the outward normal to ∂Ω.

The coefficients ai(x, t, ξ), i = 1, 2, . . . , N and b(x, t, u) are Carathe`odory functions satisfying suitable growth conditions; moreover we assume that the following ellipticity condition holds

N

X

i=1

ai(x, t, ξ) ξi ≥ ν(x) ψ(t) |ξ|m+1 a.e. x ∈ Ω t ∈]0, +∞[, ∀ξ ∈ RN

where ν(x) and ψ(t) are nonnegative functions verifying additional conditions to be precised later on. The function b(x, t, u) is a lower order term playing the role of absorption.

A typical example of (1) is the following equation

ut =

N

X

i=1

∂xi



|x|θtκ|∇u|m−1∂u

∂xi



− λ uq, where 0 ≤ θ < m, 0 ≤ κ < 1, m > 1, λ ≥ 0 and q ≥ 1.

Our goal is to find the optimal bound of ku(., t)kL(Ω) for t large, where u is a nonnegative solution of the above problem with initial datum belonging to L1(Ω) or slowly decaying at infinity.

Moreover, when b = 0, m > 1 and u0 is compactly supported, we establish a sharp bound of the interface.

The results presented here obviously hold for the Cauchy problem corresponding to the equation (1). Optimal bounds of maximum modulus of solution to Cauchy problem for nonstationary p-laplacian in the nonweighted case can be found in [14, 10, 15]. Analogous results for porous medium equation are contained in papers [1, 7, 17].

Nonweighted parabolic Neumann problems in domains with non compact boundary and with L1- initial datum have been studied in [13] in the linear case and in [26, 5] in the non linear one.

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For further literature concerning qualitative properties of solutions of parabolic equations the reader can refer for instance to Kalashnikov’s survey [16].

Concerning the existence of weak solutions in weighted spaces we quote, among others, the papers [24, 11, 9, 19].

Our approach relies on sharp energy estimates which are essentially based on a sharp form of weighted Gagliardo-Niremberg embedding result for a wide class of domains satisfying suitable isoperimetrical properties.

Let us briefly summarized the contents of the paper. After a section devoted to the notations and the statements of the main results, we state and prove an embedding theorem (see Section 3). Sections 4 and 5 contain the proofs of the optimal bounds of the maximum modulus of a nonnegative solutions of the problem (1)-(3) with initial data respectively in L1 and in Lpo∩ L with po > 1. In the last Section we prove that a solution of the above problem with m > 1, b ≡ 0 and uo compactly supported, has the property of ”finite speed of propagation”.

2 Notations, hypotheses and statements of the main results

Let Ω ⊂ RN, N ≥ 2, be an unbounded domain, containing the origin, with sufficiently smooth and noncompact boundary ∂Ω. We denote by x ≡ (x1, x2, . . . , xN) a point in Ω .

As we have remarked in the Introduction, in order to prove the embedding theorem (see next section) we need some assumptions on the geometry of Ω; to this aim we introduce the function

L(V ) = inf {measN −1(∂Q ∩ Ω) , Q ⊂ Ω open with lipschitz boundary, measNQ = V } and we give the following

Definition 2.1 Ω belongs to the class B1(g) if there exists a positive, nondecreasing function g ∈ C(0, +∞) such that V1−1/N

g(V ) is nondecreasing and

L(V ) ≥ g(V ) ∀V > 0. (1)

The above definition implies the existence of two positive constants γ1, γ2 such that L(V ) ≥ γ1VN −1N for V small enough ,

and

L(V ) ≥ γ2 for V sufficiently large .

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The first estimate gives us back the classical isoperimetrical inequality in the case of bounded domains with lipschitz boundary (see [21] pag. 301), while the second one characterizes domains which ”do not contract at infinity”.

Let us note moreover that examples of domain which do not satisfy condition (1) for small V can be found in [21] at pages 10 and 164.

Given R > 0, let

R= Ω ∩nx ∈ RN : |x| < Ro and

V (R) = measNR. Let us denote by R the inverse function of V (R).

Definition 2.2 Ω belongs to the class B2(g) if Ω ∈ B1(g) and there exists a constant c0 > 0 such that

R(V ) ≥ c0 V

g(V ) ∀V > 0. (2)

Domains belonging to classes similar to B1(g), B2(g) where considered by Gushchin [12], [13]

and subsequent papers.

It is easy to prove that if Ω ∈ B1(g) then R(V ) ≤ N V

g(V ) ∀V > 0. (3)

Thus, assuming Ω ∈ B2(g) essentially amounts to requiring that the volume V (ρ) is equivalent to ρg(V (ρ)). As a matter of fact (2) and (3) are equivalent to

1/N ρg(V (ρ)) ≤ V (ρ) ≤ 1/c0ρg(V (ρ)) ∀ρ > 0. (4) Moreover from (4) it follows that |Ω| = +∞, otherwise we would get a contradiction letting ρ → +∞ in (4).

An example of domain of class B2(g) (and then of class B1(g)) is the paraboloid–like domain Ωh=nx ∈ RN : |x0| < xhNo

where |x0| = (x21+ . . . + x2N −1)1/2, XN > 1, 0 ≤ h ≤ 1 (note that Ω0 is a cylinder and Ω1 is a cone). In this case (see [5])

g(V ) = γ minVN −1N , Vη, η = h(N − 1)

h(N − 1) + 1 ≤ N − 1 N .

(5)

Let now ν(x) be a nonnegative function in Ω and ˜ν(s) be the decreasing rearrangement of ν(x)1 . We assume that

ν(x) ∈ Lloc(Ω), (5)

R→+∞lim

sup2R\ΩRν(x)

Rm = 0 (6)

1

ν(x) ∈ Lα(Ω), 1 + 1

α < m + 1 < N , α ≥ N

m + 1 (7)

∃κ1



0,m + 1 N



such that hκ1(s) = sκ1ν(s) is non decreasing in ]0, +∞[.˜ (8) Let also ψ :]0, +∞[→ R be a monotone nondecreasing function such that

ψ ∈ L1(0, T ) ∀ T > 0. (9)

Set

ψ(t) =˜ Z t

0

ψ(s)ds.

Assumptions (5), (7) and (9) are classical in the theory of weighted parabolic equations (see [22]); technical assumption (8) implies that ˜ν(s) have power–like behavior and it is necessary, at least for power–like weight (see [8]), moreover hypothesis (6) will be used to obtain a mass estimate (see corollary 4.1 later on).

Let ai(x, t, ξ), i = 1, 2, . . . , N be Carath´eodory functions in Ω×RN +1such that the following structural assumptions are satisfied a.e. (x, t) ∈ Ω × R, ∀ ξ, η ∈ RN:

ai(x, t, 0) = 0 i = 1, 2, . . . , N, (10)

N

X

i=1

(ai(x, t, ξ) − ai(x, t, η)) (ξi− ηi) ≥ ν(x)ψ(t)|ξ − η|m+1, (11)

N

X

i=1

|ai(x, t, ξ) − ai(x, t, η)| ≤ ν(x)ψ(t) (|ξ| + |η|)m−1|ξ − η| (12) where m > 1 .

Let b(x, t, χ) be a Carath´eodory function in Ω × R2 such that the following assumptions are satisfied a.e. (x, t) ∈ Ω × R, ∀ χ, ˜χ ∈ R:

b(x, t, 0) = 0, (13)

(b(x, t, χ) − b(x, t, ˜χ)) (χ − ˜χ) ≥ σ|χ − ˜χ|q+1 (14)

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where q > 1 and σ is a positive constant.

The previous assumptions are classical in the theory of parabolic equations with general coefficients and are satisfied, for example, if we take

ai(x, t, ξ) = ν(x)ψ(t)|ξ|m−1ξi i = 1, 2, . . . , N, b(x, t, χ) = |χ|q−1χ.

In order to give the definition of weak solution of the problem (1)-(3) we have to specify the functional setting we shall use.

Let p, γ ≥ 1; then Wp,γ1,0(ν, Ω) is the space of functions u for which is finite the norm

kukW1,0 p,γ(ν,Ω)=

Z

|u|γdx

1/γ

+

Z

ν(x)|∇ u|pdx

1/p

; Wp,γ1,0(νψ, DT) is the space of functions u for which is finite the norm

kukW1,0

p,γ(νψ,DT)=

Z

DT

|u|γdxdt

1/γ

+

Z

DT

ν(x)ψ(t)|∇ u|pdxdt

1/p

; Wp,γ1,1(νψ, DT) is the space of functions u for which is finite the norm

kukW1,1

p,γ(νψ,DT) =

Z

DT (|u|γ + |ut|γ) dx

1/γ

+

Z

DT ν(x)ψ(t)|∇ u|pdx

1/p

.

Due to assumptions (5), (7) and (9) the above weighted Sobolev spaces are Banach spaces (see [22]).

Now, we are in position to give the definition of weak solution of problem (1)-(3).

Let DT = Ω × (0, T ), T > 0, u0 ∈ Lp0(Ω) ∩ L(Ω), u0≥ 0 a.e. in Ω and p0≥ 1.

Definition 2.3 Let 1 ≤ p0 ≤ 2. A weak solution of the problem (1)-(3) in DT is a nonnegative function u ∈ Wm+1,21,0 (νψ, DT) ∩ L(DT) such that holds

Z

DT

"

−uvt+

N

X

i=1

ai(x, t, ∇u)vxi+ b(x, t, u)v

#

dxdt = Z

u0(x)v(x, 0)dx (15) for any v ∈ Wm+1,21,1 (νψ, DT) such that v(x, T ) = 0.

A weak solution of the problem (1)–(3) in D is a weak solution of the problem (1)–(3) in DT for any T > 0.

(7)

Definition 2.4 Let p0 > 2. A weak solution of the problem (1)-(3) is a nonnegative func- tion u ∈ Wm+1,p1,0 o(νψ, DT) ∩ L(DT) such that the identity (15) is satisfied for any v ∈ W1,1

m+1,p00(νψ, DT) such that v(x, T ) = 0.

A weak solution of the problem (1)–(3) in D is a weak solution of the problem (1)–(3) in DT for any T > 0.

Under the hypotheses (5), (7), (9), (10)- (14) the existence of a u of the problem (1)-(3) follows from the results of [9, 11, 18, 19, 20, 23].

Now, let us denote by J−1 the inverse function of J(V ) = Vm−1

 V g(V )

m+1

˜

ν(V ), (16)

The following theorem concerns with the large time behavior of a nonnegative solution of the problem (1)-(3) with initial datum in L1.

Theorem 2.1 Let Ω ∈ B1(g). Assume that hypotheses (5), . . . , (14) hold and let u(x, t) be a solution of the problem (1)-(3) in DT and u0 ∈ L1(Ω) ∩ L(Ω).

Then there exist two positive constants C1, Γ such that for any t > 0 the following estimate is true

ku(·, t)kL(Ω)≤ C1min

ku0kL1(Ω)

J−1Γ ˜ψ(t)ku0km−1L1(Ω)

, tq−11

. (17)

Remark 2.1 We point out that, using approximation arguments, the above theorem still holds under the assumption u0 ∈ L1(Ω).

Moreover, when Ω ∈ B2(g) the result of previous theorem can be sharpened (see Theorem 4.1).

If we take Ω ≡ Ωh, ν(x) = |x|θ, 0 ≤ θ < m, m + 1

N > θ

h(N − 1) + 1, ψ(t) = tκ, 0 ≤ κ ≤ 1, u0 ∈ L1(Ωh) ∩ L(Ωh), u0 ≥ 0 then Theorem 2.1 implies that for all t > 1

ku(·, t)kL(Ω) ≤ C(N, m)ku0k

m+1−θ K

L1 t−λ, if λ > 1

q − 1 (18)

while

ku(·, t)kL(Ω)≤ C(N, m)tq−11 if λ < 1

q − 1 (19)

where

λ = (1 + κ)[1 + (N − 1)h]

K

(8)

and

K = K(h, θ) = (m − 1)[1 + (N − 1)h] + m + 1 − θ.

We notice that the number q defined by the relationship λ = 1

q− 1 plays the role of critical exponent for the problem (1)-(3). Moreover, we note that K(1, 0) = (m − 1)N + m + 1 is the well known Barenblatt’s exponent and the expression (18) when θ = 0, κ = 0, h = 1 is the same obtained in [14] .

In the case κ = 0 and h = 1 formula (18) was given in [25] for a solution to the Cauchy problem, while for κ = 0, θ = 0 it was proven in [5].

Let us also remark that (18) provides sharp dependence of maximum modulus of a solution on the parameters of the problem, i.e. on ν(x), ψ(t), m and the geometry of Ωh when b ≡ 0, see Corollary 6.1.

Now let us set

Jp0(s) = sm−1p0

 s g(s)

m+1

˜

ν(s), ∀ s > 0. (20)

If the initial datum belongs to Lp0(Ω) ∩ L(Ω), p0 > 1 we can prove the following

Theorem 2.2 Let Ω ∈ B1(g). Assume that hypotheses (5, . . . , (14) hold and let u(x, t) be a solution of the problem (1)-(3) in DT and u0 ∈ Lp0(Ω) ∩ L(Ω), p0 > 1.

Then, there exist two positive constants C2, Λ such that for any t > 0 ku(·, t)kL(Ω)≤ C2 ku0kL1(Ω2 ˜R(t))

J−1



Γ ˜ψ(t)ku0km−1L1(Ω2 ˜R(t))

 (21)

where ˜R(t) is defined by the relationship ku0kL1(Ω2 ˜R(t))

J−1



Γ ˜ψ(t)ku0km−1L1(Ω

2 ˜R(t))

 = ku0kLp0(Ω\ΩR˜(t))

Jp−10



Λ ˜ψ(t)ku0km−1Lp0(Ω\Ω

R(t)˜ )

1/p0. (22)

Remark 2.2 When Ω belongs to the class B2(g) the result of the previous theorem can be sharp- ened (see Theorem 5.1). Moreover in the particular case Ω ≡ Ωh, ν(x) = |x|θ with 0 ≤ θ < m,

m + 1

N > θ

h(N − 1) + 1 ψ(t) = tκ, u0(x) = (1 + |x|)−β, 0 < β < 1 + (N − 1)h (see also Remark 5.2), for any t > 1 we have

ku(·, t)kL(Ω)≤ γ1t−λβ. (23)

where

λ = 1 + κ

m + 1 − θ + β(m − 1).

(9)

Let us note that, if κ = θ = 0, (23) can be rewritten as ku(·, t)kL(Ω) ≤ γ1tm+1+β(m−1)β and the above estimate reduces to the results of [26, 15].

Let us denote

Z(t) = inf{ρ > 0 : supp u(·, t) ⊂ Ωρ}.

Obviously, Z(t) gives a measure of the speed of propagation of the support of u. When m > 1 and the initial datum has compact support we shall prove the property of finite speed of propagation for a solution of problem (1)-(3) without absorption term . As a matter of fact in Section 6 we prove the following

Theorem 2.3 Let the hypotheses of theorem 2.1 be satisfied and b ≡ 0. Let supp uo ⊂ BR0 Then for all t > 0

Z(t) ≤ C˜ 3Z(0) + G˜ 0(J−1( ˜ψ(t)ku0km−1L1(Ω))) (24) where

Z(t) =˜ Z(t)

(sup2Z(t)ν(x))m+11 and

G0(s) = s

g(s)(˜ν(s))m+11 .

3 An embedding result

The description of the geometrical characteristics of the domain via isoperimetrical prop- erties allows us to use naturally the symmetrization approach to prove an embedding result.

This approach seems to be the most suitable for domains with noncompact boundary.

The following embedding lemma, which has interest in itself, will be crucial in the proofs of theorems 2.1 and 2.2; the nondegenerate case has been considered in [27].

For the sake of simplicity, from now on we will always denote by c a positive constant, depending only on the data, which may vary from line to line.

Lemma 3.1 Let Ω ∈ B1(g) and ν(x) satisfy the condition (5) and 1

ν(x)1/(p−1) ∈ L1loc(Ω). (1)

Assume moreover that there exist constants θ, γ0 > 0, with 1 < θ < p < N , such that Z s

0 ν(τ )˜ p−θθ dτ ≤ γ0s˜ν(s)p−θθ ∀ s > 0. (2)

(10)

Then for any u ∈ Wp,p1,0(ν, Ω) ∩ Lβ(Ω), 0 < β < q ≤ N θ

N − θ the following inequality holds

I ≥ ¯γ E

p

qq

G1

 E

q q−β

β /E

β

qq−β

, (3)

where

I = Z

ν(x)|∇u|pdx, Eγ = Z

|u|γdx, G1(s) = spq−1

 s g(s)

p

˜ ν(s), provided G1 is increasing.

If θ ≥ β, ¯γ depends only on θ, γo, N . Proof.

We first prove the theorem in the case θ < q ≤ N θ N − θ.

Following the paper [3], we can construct for any s ∈ (0, +∞) a measurable set D(s) ⊂ Ω such that

i) measND(s) = s,

ii) s1 < s2⇒ D(s1) ⊂ D(s2),

iii) D(s) = {x ∈ Ω : |u(x)| > r} for s = µ(r),

where µ(r) = measN{|u(x)| > r} is the distribution function.

Moreover there exists ν(s) > 0, s > 0, such that Z

D(s)

1 ν(x)p−11

dx = Z s

0

1 ν(τ )p−11

dτ. (4)

Let us denote by u(s) the decreasing rearrangement of u(x) i.e.

u(s) = inf {τ > 0 : µ(τ ) < s} , and observe that if θ < q is well known that

Eq= Z +∞

0 [u(s)]qds ≤ c

Z +∞

0 [u(s)]θsθq−1ds

q/θ

. (5)

For any fixed k > 0, to be chosen later on, we have Z +∞

0 [u(s)]θsθq−1ds = Z µ(k)

0 [u(s)]θsθq−1ds +

Z +∞

µ(k)

[u(s)]θsθq−1ds ≡ A1+ A2.

(6)

(11)

In order to estimate A1 we integrate between 0 and µ(k) the identity d

 u(σ)θ

Z σ

0 sθq−1ds



= θ(u(σ))θ−1du(σ) dσ

Z σ 0

sθq−1ds + (u(σ))θσθq−1,

then we use Young and Chebychev inequalities and known properties of rearrangements so that A1 ≤ c

"

Z µ(k)

0



−du(σ) dσ

θ

σθq+θ−1dσ + µ(k)θ/q−θ/βEβθ/β

#

≡ c[A3+ A4].

(7)

Discriminating the cases θ < β and θ ≥ β, one can easily prove that

A2 ≤ c µ(k)θ/q−θ/βEβθ/β (8)

(the constant c in (8) equals 1 if θ ≥ β).

Applying H¨older’s inequality we can estimate A3 getting

A3

Z µ(k)

0



−du(σ) dσ

p

(g(σ))pν(σ)dσ

!θ/p

Z µ(k)

0

σ(θq+θ−1)p−θp (g(σ))p−θ νp−θθ (σ)

1−θ/p

. (9)

Let us prove now that

Z +∞

0



−du(σ) dσ

p

(g(σ))pν(σ)dσ ≤ I. (10)

Working as in [3] we get 1

h Z

{τ <|u|≤τ +h}

|∇u|dx

≤ 1

h Z

{τ <|u|≤τ +h}

ν(x)|∇u|pdx

!1/p

1 h

Z

{τ <|u|≤τ +h}

ν(x)p−11 dx

!p−1p

∀ h > 0.

Letting h → 0 it follows

− d dτ

Z

{|u|>τ }

|∇u|dx

≤ − d

Z

{τ <|u|}ν(x)|∇u|pdx

!1/p

− d dτ

Z

{τ <|u|}ν(x)p−11 dx

!p−1p .

(11)

(12)

By the definition of ν(s) we have

− d dτ

Z

{τ <|u|}ν(x)p−11 dx = −µ0(τ ) 1

[ν(µ(τ ))]p−11 . (12)

On the other hand by the isoperimetrical property of Ω and the Rishel -Fleming formula we deduce

g(µ(τ )) ≤ L(µ(τ )) ≤ − d dτ

Z

{τ <|u|}

|∇u|dx, so that, from (11) and (12), it turns out

(g(µ(τ )))pν(µ(τ ))



−dµ(τ ) dτ

−(p−1)

≤ − d dτ

Z

{τ <|u|}ν(x)|∇u|pdx.

Integrating in ]0, +∞[ the above inequality and using the identity dµ(τ )

dτ = 1

d

dτ(u(µ(τ ))) we obtain (10).

Now, by virtue of Lemma 2.2 in [3] there exists a sequence {νn} such that

 1 νn



 1 ν(x)



a.e. (13)

and

Z µ(k)

0

ds (ν(s))p−θθ

ds = lim

n→+∞

Z µ(k)

0

ds (νn(s))p−θθ

. (14)

Thus from (13) and (14) and our hypotheses on the weight ν we infer Z µ(k)

0

ds (ν(s))p−θθ

ds ≤ γ0µ(k)(˜ν(µ(k)))p−θθ . (15) The monotonicity of the function

s(θq+θ−1)p−θp (g(s))p−θ

, along with inequalities (9), (10) and (15) implies

A3 ≤ cIθp(µ(k))θq+θ−θp

(g(µ(k)))θ (˜ν(µ(k)))θ/p. (16)

(13)

From (5), (7), (8) and (16) we deduce

Eq ≤ c

Iθp(µ(k))θq+θ−θ/p

(g(µ(k)))θ ((˜ν(µ(k)))θ/p+ µ(k)θ/q−θ/βEθ/ββ

q/θ

≤ c

"

I1/p(µ(k))1/q+1−1/p

g(µ(k)) ((˜ν(µ(k)))1/p+ µ(k)1qβ1Eβ1/β

#q

= ch(I G1(µ(k)))1p + (µ(k))1/q−1/βEβ1/βiq.

(17)

Now we choose k such that

I1/p(G1(µ(k))1/p= µ(k)1/q−1/βEβ1/β or, equivalently,

µ(k) = Φ−1

Eβp/β

I

where Φ(s) = G1(s)

sp/q−p/β and Φ−1(s) is its inverse function.

Substituting the above value in (17) we complete the proof in the case q > θ.

To achieve the complete proof we argue in the following way; let q1 such that β < q1 ≤ θ and choose q > θ; note

q1 = qq1− β

q − β + βq − q1 q − β. Applying H¨older’s inequality we deduce

Eq1 ≤ E

q1−βq−β

q E

q−q1q−β

β . (18)

The thesis now follows immediately from the first part of the theorem and monotonicity of right-hand side of (3) with respect to Eq.

Remark 3.1 The assumption (1) and the one on the monotonicity of G1 will be fulfilled in the instances of application of Lemma 3.1, as a consequence of (7), (8) and our choice of the parameters p, q, β, θ.

Remark 3.2 Assume that ν(x) satisfy conditions (8), then Z s

0

˜

ν(τ )m+1N dτ ≤ γ0s˜ν(s)m+1N ∀ s > 0 (19) with γ0 = 1

1−κ1 N m+1

.

Remark 3.3 If Ω = Ω1 and ν(x) ≡ 1 then inequality (3) is the classical Nirenberg–Gagliardo inequality.

(14)

4 Proof of Theorem 2.1

Before proving theorem 2.1 let us premise some auxiliary results useful in the sequel.

Proposition 4.1 Let u be a weak solution of the problem (1)-(3). Assume that hypotheses (5), (7) and (9) hold.

Let

supp u0 ⊂ BRo.

Then for any t > 0 there exists a positive constant c, depending on ku(·, t)k too, such that the following estimate holds

HR(t) ≤ e ku0k22,Ωexp

−c

(R − Ro)m+1 tψ(t)η(R)

!m1

∀R > Ro (1)

where

HR(t) = Z

Ω\ΩR

u2dx + Z t

0

Z

Ω\ΩR

ν(x)ψ(τ )|∇u|m+1dxdτ.

and

η(R) = sup

2R\ΩR

ν(x).

Proof.

Let R > Ro, 0 < ρ ≤ R and

ξ(x) =

0 if |x| ≤ R

|x| − R

ρ if R < |x| < R + ρ 1 if |x| ≥ R + ρ

Choosing ξm+1(|x|)u as test function in the weak formulation of problem (1)-(3) we obtain:

1 2

Z

u2ξm+1dx + Z t

0

Z

N

X

i=1

aiuxiξm+1dxdτ + Z t

0

Z

m+1udxdτ =

− (m + 1) Z t

0

Z

N

X

i=1

aiξxiξmudxdτ

Using Young’s inequality and growth conditions in the right hand side of the previous in- equality we have

1 2

Z

u2ξm+1dx + Z t

0

Z

ν(x)ψ(τ )|∇u|m+1ξm+1dxdτ

≤ cεm+1m Z t

0

Z

ν(x)ψ(τ )|∇u|m+1ξm+1dxdτ + cε−(m+1)

Z t 0

Z

ν(x)ψ(τ )|u|m+1|∇ξ|m+1dxdτ.

(15)

Hence, for ε > 0 sufficiently small, we obtain HR+ρ(t) ≤ cη(R)

ρm+1 Z t

0

ψ(τ )(M (τ ))m−1HR(τ )dτ, (2) where

M (t) = sup

u(x, t).

By the maximum principle (its formal proof can be readily carried out as in [28], Proposition 2) there exists a constant Mo> 0 such that

M (t) ≤ Mo ∀t ∈ (0, T ) and, from (2), we obtain

HR+ρ(t) ≤ cMom−1η(R) ρm+1

Z t

0

ψ(τ )HR(τ )dτ. (3)

Let us absorb, for the sake of simplicity, Mo in the generic constant c.

Let us prove, by induction, the following inequality HRo+kρ(t) ≤ ckku0k22 (tψ(t))k

ρ(m+1)kk![η(R)]k. (4)

Taking u as test function in the weak formulation of problem (1)-(3), easily follows

HRo(t) ≤ cku0k22 (5)

that proves (4) for k = 0.

Let us assume that inequality (4) holds for some integer k > 0. By virtue of (3) and using (4), we can obtain

HRo+(k+1)ρ(t) ≤ cη(R) ρm+1

Z t 0

ψ(τ )HRo+kρ(τ )dτ ≤

ck+1ku0k22 (tψ(t))k+1

ρ(m+1)(k+1)(k + 1)![η(R)]k+1. Then, inequality (4) holds for any integer k > 0.

Let k ≥ 1. Choosing in (4) ρ = R − Ro

k we obtain HR(t) ≤ ckku0k22 k(m+1)k[tψ(t)]k

(R − Ro)(m+1)kk![η(R)]k.

(16)

¿From this inequality, using also Stirling’s formula it follows HR(t) ≤ ku0k22exp

(

−k log c(R − Ro)m+1 e tψ(t)η(R)km

)

. (6)

Now, if

c(R − Ro)m+1

e tψ(t)η(R) ≤ exp(1)

the estimate (1) easily follows from (5). Otherwise, we can obtain (1) from (6) taking as k the integer part of

(c(R − Ro)m+1 e2tψ(t)η(R)

)m1 .

Corollary 4.1 (Mass estimate) Let u be a weak solution of the problem (1)-(3). Assume that hypotheses (5), (6), (7), (9) hold and supp u0 ⊂ BRo.

Then, ∀t > 0

Z

u(x, t)dx ≤ Z

u0(x)dx. (7)

Proof.

Let R > 0, t > 0 and u(x, τ ) be a solution of problem (1)- (3).

Taking

ξR(x) =

0 if x ∈ ΩR

|x| − R

R if x ∈ Ω2R\ ΩR 1 if x ∈ Ω2R

as test function in the weak formulation of problem (1)-(3). we have Z t

0

Z

uτξRdxdτ + Z t

0

Z

N

X

i=1

ai(x, τ, ∇u)(ξR)xidxdτ +

Z t 0

Z

b(x, τ, u)ξRdxdτ = 0

(8)

Using the growth condition (12) and Holder’s inequality (with exponents m + 1 and m+1m ), it follows

Z t 0

Z

N

X

i=1

ai(x, τ, ∇u)(ξR)xidxdτ

≤ c

R(HR(t))m+1m Z t

0

Z

2R\ΩRν(x)ψ(τ )dxdτ

!m+11

(17)

cHR(t)RNm

m

m+1tψ(τ )η(R) Rm+1

m+11

. (9)

By mean of Proposition (4.1) we obtain the following estimate

HR(t)RNm ≤ cku0k22,Ωexp

−γ

"

(R − Ro)m+1 tψ(t)η(R)

#m1

·

·

"

Rm+1 tψ(t)η(R)

#Nm

tψ(t)η(R) Rm

Nm .

(10)

Therefore, from (9), (10) and by virtue of hypothesis (6) we obtain

R→+∞lim Z t

0

Z

N

X

i=1

ai(x, τ, ∇u)(ξR)xidxdτ = 0.

Letting R → +∞ in (8), easily follows (7).

The next lemma will be crucial in the proof of Theorem 2.1.

Let us denote by γ the constant involved in (3) with θ = N (m+1)N +m+1 and γ0 = 1/(1 − κ1N/(m + 1)). Moreover, for any r ≥ 1 we set

Γ(r) = ¯γ(m − 1)(r + 1)

m + 1 r + m

m+1

. (11)

Lemma 4.1 Let Ω ∈ B1(g) and u(x, t) be a weak solution of problem (1)-(3) in DT. Suppose that hypotheses (5)-(9) are satisfied. Then, for any integer r ≥ 1 the following inequalities hold:

Z

ur+1dx

r+11

≤ kuok1,Ω

J−1(Γ(r) ˜ψ(t)kuokm−11,Ω )

r r+1

, (12)

Z

ur+1dx

r+11

≤ cr+1r kuok

1 r+1

1,Ωtr+1r q−11 (13)

where c is a positive constant, independent of r, J(s) is the function defined in (16).

Proof.

Let r ≥ 1; multiplying by ur both sides of equation (1) and integrating on Ω, we get d

dt Z

ur+1dx = −r(r + 1) Z

N

X

i=1

ai(x, t, ∇u)uxiur−1dx − (r + 1) Z

b(x, t, u)urdx. (14)

(18)

Using the ellipticity and growth conditions, together with the identity

|∇u|m+1ur−1=

m + 1 m + r

m+1

|∇ur+mm+1|m+1 we obtain

d dt

Z

ur+1dx ≤ −r(r + 1)

m + 1 r + m

m+1

ψ(t) Z

ν(x)|∇ur+mm+1|m+1, (15) d

dt Z

ur+1dx ≤ −c(r + 1) Z

uq+rdx. (16)

Now, let us estimate the right–hand side of (15) by applying Lemma 3.1(with p = m + 1, q = m+1m+r(r + 1), θ = N (m+1)N +m+1, λ = (m+1)(r+1)m+r , β = m+1r+m) to the function ur+mm+1 and by using also the mass estimate (7). Thus it follows

dEr+1

dt ≤ −r Γ(r) m − 1

ψ(t)[Er+1(t)]m+rr+1 G1

 kuok

r+1

1,Ωr /Er+1(t)1r

. (17)

If we set

w(t) = kuok

r+1

1r

E

1

r+1r (t) we can rewrite (17) as follows

wm−21(w)dw ≥ Γ(r)

m − 1ψ(t)kuokm−11,Ω dt. (18) where

1(s) =

 s g(s)

m+1

˜ ν(s).

Integrating the last inequality between w(0) and w(t) we obtain J(w) ≥ Γ(r) ˜ψ(t)kuokm−11,Ω

which may be rewritten as follows kuok

r+1 r

1,Ω

Er+1(t)1r ≥ J−1Γ(r) ˜ψ(t)kuokm−11,Ω . (19)

¿From the last inequality immediately follows (12).

(19)

Let us prove (13).

Applying the Holder’s inequality and the mass estimate (7) we get Z

ur+1dx ≤ kuok

q−1 q+r−1

1,Ω

Z

uq+rdx

q+r−1r .

Using this inequality we can estimate the right hand side of (16) from above obtaining d

dt Z

ur+1dx ≤ −c(r + 1)kuok

q−1 r

1,Ω

Z

ur+1dx

q+r−1r

and (13) easily follows integrating the above formula.

Proof of the Theorem 2.1 First of all we notice that letting r → +∞ in (13) we get ku(·, t)kL(Ω)≤ ctq−11 , ∀t > 0. (20) Let

pk= (m + 1)k− 1

m, k = 1, 2, ...

Then pk+ m

m + 1 = pk−1+ 1.

Let us denote

Ek(t) = Z

u(x, t)pk+1dx,

k(t) = kuokp1k+1Apkk+1J−1Γ ˜ψ(t)kuokm−11 −pk where

Γ = (m − 1)¯γ 2m+1 , Ak=

k

Y

i=1

θopθi1

1 pi+1 , with θ0, θ1 > 1 constants to be chosen later on.

Our goal will be to prove that for any t > 0 and k ≥ 1 it holds

k(t) ≥ Ek(t). (21)

In fact, once inequality (21) is achieved, since

k

Y

i=1

θopθi1

1

pi+1 ≤ exp

+∞

X

i=1

1

pi+ 1log (θopθi1)

! ,

(20)

letting k → ∞ we will obtain

ku(·, t)kL(Ω) ≤ ckuok1

J−1Γ ˜ψ(t)kuokm−11 −1. (22) Comparing estimates (20) and (22) we will get (17).

We now proceed by induction on k: the validity of (21), for k = 1, follows from Lemma 4.1, since Γ(p1) > Γ and A1 > 1.

Rewriting (15) for r = pk+1 and manipulating therein the constants we can deduce dEk+1

dt ≤ − 1

pm−1k+1 ψ(t)Jk(t) (23)

where

Jk(t) = Z

ν(x)|∇u(x, t)pk+1|m+1dx.

¿From the interpolation Lemma 3.1 it follows

Jk(t) ≥ ¯γ E

m−1 pk+1−pk+1

k+1 (t)

E

m−1 pk+1−pk

k (t) ˜G1 E

pk+1+1 pk+1−pk

k (t)/E

pk+1−pkpk+1

k+1 (t)

!. (24)

Now we set

w(z) =

"

zN −1N g(z)

#m+1

˜ ν(z),

λk= m − 1

pk+1− pk + 1 + pk+ 1 pk+1− pk

m + 1 N , βk= m − 1

pk+1− pk + pk+1+ 1 pk+1− pk

m + 1 N . Working as in [5], from (24) we deduce

Jk(t) ≥ ¯γ (Ek+1(t))λk (Ek(t))βkw E

pk+1+1 pk+1−pk

k (t)/E

pk+1 pk+1−pk

k+1 (t)

!. (25)

With the help of H¨older’s inequality, mass estimate (7) and the inductive hypothesis we infer Jk(t) ≥ ¯γ (Ek+1(t))λk

( ˜Ek(t))βkw ku0k

pk+1+1 pk+1

1 /E

1 pk+1

k+1 (t)

!.

(21)

Therefore from (23) we get dEk+1

dt ≤ − γ¯

pm−1k+1 ψ(t) Ek+1λk ( ˜Ek(t))βkw ku0k

pk+1+1 pk+1

1 /Ek+1(t)

1 pk+1

!. (26)

If we set

fk(t) = ku0k

pk+1+1 pk+1

1

Ek+1(t)

1 pk+1

, from (26) it turns out

w(fk(t))(fk(t))pk+1λk−pk+1−1dfk≥ ¯γ

pmk+1ψ(t)ku0k(p1 k+1+1)(λk−1)

( ˜Ek(t))βk dt. (27) We notice that assumption (8) and the monotonicity property of s1−1/Ng(s) (recall the definition of the class B1(g) ) imply the monotonicity of the function w(s)sκ1; moreover there exists κ2 > 0 such that the function Jsκ21(s) is non decreasing (we can take κ2 = m − 1 + (m + 1)/N − κ1).

These two facts give Z fk(t)

fk(0)

w(s)spk+1k−1)−1ds ≤ w(fk(t))(fk(t))k−1)pk+1

k− 1)pk+1− κ1 , (28) Z t

0

ψ(τ )( ˜Ek(τ ))−βk

≥ A−βk k(pk+1)ku0k−(p1 k+1)βk J−1(a(t))pkβk ( ˜ψ(t))pkβkκ2

Z t 0

ψ(τ )( ˜ψ(τ ))pkβkκ2dτ where

a(t) = Γ ˜ψ(t)ku0km−11 . Moreover we have

Z t

0

ψ(τ )( ˜ψ(τ ))pkβkκ2dτ = ( ˜ψ(t))κ2βkpk+1 κ2βkpk+ 1 and also

Z t

0 ψ(τ )( ˜Ek(τ ))−βkdτ ≥ A−βk k(pk+1)

1 + κ2pkβkku0k−β1 k(pk+1)J−1(a(t))pkβkψ(t).˜ (29)

(22)

Integrating (27) and using inequalities (28) e (29) we have w(fk(t))(fk(t))k−1)pk+1

≥ γ¯ pmk+1

k− 1)pk+1− κ1

1 + κ2βkpk ku0km−11 A−βk k(pk+1)J−1(a(t))βkpkψ(t).˜ (30) Let ϕ(z) = w(z)zpk+1k−1). Then from (30) it turns out

fk(t) ≥ ϕ−1[c(m, N )A−βk k(pk+1)p−mk+1J−1(a(t))βkpka(t)] (31) where

c(m, N ) = m − 1 2m+1

m + 1

N + κ2(m + 1 < 1.

Since the function

s

1

pk+1(λk−1)−1(s) is non decreasing, it follows

ϕ−1(δs) ≥ δ

1

pk+1(λk−1)ϕ−1(s), ∀ 0 < δ < 1.

Therefore, from (31), after calculations we obtain Ek+1(t) ≤ kuokp1k+1+1

[J−1(a(t))]pk+1



Akh(1/σ)1/Npm/Nk+1 i1/(pk+1+1)

pk+1+1

and from here the estimate (21) choosing

θo= (1/σ)1/N, θ1> 1.

If Ω ∈ B2(g) then the result of theorem 2.1 can be sharpened as the following theorem shows.

Theorem 4.1 Let Ω ∈ B2(g) and hypotheses of Theorem (2.1) be satisfied.

Assume the function

R(s) sN1 be nondecreasing in ]0, +∞[.

Then, there exist two positive constants C3, Γ such that for any t > 0 the following estimate holds

ku(·, t)k∞,Ω≤ C3min kuok1,Ω

P−1(Γ ˜ψ(t)kuokm−11,Ω ), tq−11

!

where P−1(s) is the inverse function of

P(s) = sm−1Rm+1(s)˜ν(s) (32)

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