ON BASIN OF ZERO-SOLUTIONS TOA SEMILINEAR PARABOLIC EQUATION WITH ORNSTEIN-UHLENBECK OPERATOR YASUHIRO FUJITA Received 27 April 2005; Accepted 10 July 2005 We consider the basin of the z
Trang 1ON BASIN OF ZERO-SOLUTIONS TO
A SEMILINEAR PARABOLIC EQUATION
WITH ORNSTEIN-UHLENBECK OPERATOR
YASUHIRO FUJITA
Received 27 April 2005; Accepted 10 July 2005
We consider the basin of the zero-solution to a semilinear parabolic equation onRNwith the Ornstein-Uhlenbeck operator Our aim is to show that the Ornstein-Uhlenbeck oper-ator contributes to enlargement of the basin by using the logarithmic Sobolev inequality Copyright © 2006 Yasuhiro Fujita This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
1 Introduction
Letα, β > 0 be given constants We consider the following semilinear parabolic problem:
u t =1
2Δu − αx · Du + βu log u in (0,∞)× R N,
u(0, ·)= ϕ inRN,
(1.1)
where the initial dataϕ satisfies
ϕ > 0 inRN, ψ : =logϕ ∈Lip
RN
Whenα =0, problem (1.1) was considered by Samarskii et al in [8, pages 93–99] When
α > 0, the operator L defined by
L =1
is called the Ornstein-Uhlenbeck operator and has been studied by many authors ([1–
4,6]) In linear parabolic equations, the Ornstein-Uhlenbeck operator contributes good properties to their solutions such as ergodicity and hypercontractivity However, to semi-linear parabolic equations, a contribution of the Ornstein-Uhlenbeck operator is hardly known
Hindawi Publishing Corporation
Journal of Inequalities and Applications
Volume 2006, Article ID 52498, Pages 1 10
DOI 10.1155/JIA/2006/52498
Trang 2Our motivation to study problem (1.1) is that it provides an example of semilinear parabolic equations to which the Ornstein-Uhlenbeck operator contributes Indeed, in (1.1), the Ornstein-Uhlenbeck operatorL contributes to enlargement of the basin of the
zero-solution
Our aim of this paper is to clarify this contribution by using the relation between the parameters α, β Our result states that if α is su fficiently larger than β/2 then the
basin of the zero-solutions is large enough; on the other hand, ifα is sufficiently smaller thanβ/2 then it is small enough Note that as α increases the attractive power to the
origin is stronger in the Ornstein-Uhlenbeck operator Hence, the results above show that enlargement of the basin arises from a contribution of the Ornstein-Uhlenbeck operator The contents of the paper are organized as follows: in Section 2, we state existence and uniqueness of a classical solution to (1.1) InSection 3, we deriveL q-estimates of the classical solution to (1.1) These estimates are based on the logarithmic Sobolev inequality and the Jensen inequality InSection 4, we state our main results and prove them
2 A classical solution to (1.1)
In this section, we will show existence and uniqueness of a classical solution to (1.1) In order to show existence and uniqueness of a classical solution to (1.1), we consider first the following semilinear parabolic problem:
η t =1
2Δη − αx · Dη +1
2e
βt | Dη |2 in (0,∞)× R N,
η(0, ·)= ψ( ·) :=logϕ( ·) inRN
(2.1)
Note thatη is a classical solution to (2.1) if and only if the functionu defined by
u =exp
e βt η
(2.2)
is a classical solution to (1.1) For this reason, we consider (2.1) When the time-depend-ent Hamiltoniane βt | Dη |2/2 of (2.1) is replaced by the time-independent Hamiltonian
H(Dη) for some H ∈ C1(RN), existence and uniqueness of a classical solution to (2.1) was shown in [6] Our proof for (2.1) is almost same as that of [6] So, we omit it Let
Theorem 2.1 ([6]) Assume ( 1.2 ).Then, ( 2.1 ) admits at least one classical solution η such that η ∈ C(Q)
C1,2(Q) with the property
D x η
Now, we state existence and uniqueness of a classical solution to (1.1)
Theorem 2.2 Assume ( 1.2 ) Then ( 2.1 ) admits the unique classical solution u ∈ C(Q)
C1,2(Q) satisfying the following: u( ·)> 0 in Q, and for each T > 0 there exists a constant
C T > 0 satisfying
D log u(t, x) ≤ C T, (t, x) ∈(0,T] × R N (2.5)
Trang 3Yasuhiro Fujita 3
Proof Existence of u satisfying the theorem follows fromTheorem 2.1 Letu1andu2be such solutions Letη j = e − βtlogu j Thenη jsatisfies
η j
t =1
2Δη j − αx · Dη j+1
2e
βtDη j 2
in (0,∞)× R N,
η j(0,·)= ψ( ·) inRN
(2.6)
Hence, we obtain in (0,∞)× R N,
η1− η2
t =1
2Δη1− η2
+
− αx +1
2e
βt
Dη1+Dη2
· D
η1− η2
Note that, for eachT > 0, there exists a constant K T > 0 such that
− αx +1
2e
βt
Dη1+Dη2
(t, x)
≤ K T
1 +| x |, (t, x) ∈(0,T] × R N,
η1− η2
(t, x) ≤ K T
1 +| x |, (t, x) ∈[0,T] × R N
(2.8)
Hence, by the comparison theorem for parabolic equations (cf [5, Theorem 9, page 43]),
we deduce thatη1≡ η2on [0,T] × R N SinceT > 0 is arbitrarily, we conclude the theorem.
3.L q-estimates of the solution to (1.1)
In this section, we will giveL q-estimates of the unique classical solution to (1.1) Letν be
the Borel probability measure onRNdefined by
dν(y) =(α/π) N/2 e − α | y |2d y. (3.1) This measure is called the invariant probability measure for the Ornstein-Uhlenbeck op-eratorL of (1.3), because we have
RN Lχd ν =0, χ ∈ C2
b
RN
(3.2) (see [2,3]) We give the logarithmic Sobolev inequality without proof (cf [7])
Lemma 3.1 [7] For any q > 1 and 0 < χ ∈ C2
b(RN ), we have
RN χ qlogχ q d ν ≤ − q2
2α
q −1
RN χ q −1Lχ d ν + χ q L q(ν)log χ q L q(ν) (3.3) Next, we have the following lemma
Lemma 3.2 For any q > 1 and 0 < χ ∈ C2b(RN ),
Trang 4
Proof Let χ n(x) = χ(x) + (1/n) for n ∈ N Sinceχ q n ∈ C2
b(RN), it follows from (3.2) that
RN L χ q n
Since
L χ n q
= qχ q n −1Lχ +1
2q(q −1)χ n q −2| Dχ |2, (3.6)
we obtain
We conclude (3.4) from the Lebesgue’s dominated convergence theorem
The following proposition follows easily fromTheorem 2.2
Lemma 3.3 Assume ( 1.2 ) Let u be the unique classical solution to ( 1.1 ) obtained in Theorem 2.2 Then, for any T > 0, there exists a constant C T > 0 such that
e − C T(1+| x |)≤ u(t, x) ≤ e C T(1+| x |), (t, x) ∈[0,T] × R N,
Du(t, x) ≤ e C T(1+| x |), (t, x) ∈(0,T] × R N (3.8)
Now, we state the main results of this section
Theorem 3.4 Assume that ( 1.2 ) holds and 2α > β Let u be the unique classical solution
to ( 1.1 ) obtained in Theorem 2.2 Then, for any q ≥2α/(2α − β),
u(t, ·)
L q(ν) ≤exp
e βtlog ϕ L q(ν) , t ≥0. (3.9)
Proof Let ρ ∈ C ∞(RN) be a function such that 0≤ ρ( ·)≤1 and
ρ(x) =
⎧
⎨
⎩
1, | x | ≤1,
We set
ρ n(x) = ρ
x
n
Now, we define the functionu nby
Note that
u q n
t = qu q n −1ρ n(Lu + βu logu),
ρ n Lu = Lu n − uLρ n − Du · Dρ n,
u q nlogu = u q nlogu n − u q nlogρ n
(3.13)
Trang 5Yasuhiro Fujita 5 Here and henceforth, we interpret that 0 log 0=0 Using these equalities, we get forq ≥
2α/(2α − β),
d
dtu n(t, ·)q
L q(ν)
= q
RN u n(t, ·)q −1Lu n(t, ·)d ν + β
RN u n(t, ·)qlogu n(t, ·)d ν
− q
RN
u n(t, ·)q −1
u(t, ·)Lρ n+Du(t, ·)· Dρ n
+βu n(t, ·)qlogρ n
d ν
:= I(t) − J(t).
(3.14)
Since 1≥ qβ/2α(q −1), we have by Lemmas3.1and3.2
I(t) ≤ q
2α
q −1
RN Lu n(t, ·)u n(t, ·)q −1dν + βu n(t, ·)q
L q(ν)logu n(t, ·)q
L q(ν)
≤ βu n(t, ·)q
L q(ν)logu n(t, ·)q
L q(ν), t > 0.
(3.15) Next, let us fixT > 0 arbitrarily ByLemma 3.3, it is easy to see that
θ n(T) : =supJ(t) | t ∈[0,T] −→0 asn −→ ∞ (3.16) Then the function f n(t) defined by
f n(t) =u n(t, ·)q
satisfies
d
dt f n(t) ≤ β f n(t) log f n(t) + θ n(T), 0< t < T. (3.18) Note that since suppρ n ⊃ { x | | x | ≤1}for alln ≥1, we have
f n(t) ≥
{| x |≤1} u(t, x) q dν ≥
{| x |≤1} e − qC T(1+| x |)dν =:γ T > 0, 0≤ t ≤ T, (3.19)
in view ofLemma 3.3 Then, by (3.18), we obtain
d
dtlogf n(t) ≤ β log f n(t) + θ n(T)
γ T , 0< t < T. (3.20) From this inequality, we have
e − βtlogu n(t, ·)q
L q(ν) ≤logχ n ϕq
L q(ν)+θ n(T)
βγ T
1− e − βt
, 0≤ t ≤ T. (3.21)
Trang 6Lettingn → ∞and using the Lebesgue’s dominated convergence theorem, we conclude that
e − βtlogu(t, ·)q
L q(ν) ≤log ϕ q L q(ν), 0≤ t ≤ T. (3.22) SinceT > 0 is arbitrary, we obtain the desired result easily The proof is complete.
Theorem 3.5 Assume that ( 1.2 ) holds and α, β > 0 Let u be the unique classical solution to ( 1.1 ) obtained in Theorem 2.2 Then,
u(t, ·)
L1 (ν) ≥exp
e βtlog ϕ L1 (ν) , t ≥0. (3.23)
Proof Let u nbe the function defined by (3.12) Similarly to the arguments of the proof
ofTheorem 3.4, we get
d
dtu n(t, ·)
L1 (ν) =
RN Lu n(t, ·)dν + β
RN u n(t, ·) logu n(t, ·)dν
−
RN
u(t, ·)Lρ n+Du(t, ·)· Dρ n+βu n(t, ·) logρ n
dν
:= I(t) − J(t).
(3.24)
By (3.2) and the Jensen inequality, we have
I(t) ≥u n(t, ·)
L1 (ν)logu n(t, ·)
L1 (ν), t > 0. (3.25) Next, let us fixT > 0 arbitrarily ByLemma 3.3, it is easy to see that
θ n(T) : =sup
| J(T) | | t ∈[0,T]
Then the functiong n(t) defined by
g n(t) =u n(t, ·)
satisfies
d
dt g n(t) ≥ βg n(t) log g n(t) − θ n(T), 0< t < T. (3.28) Similarly to (3.19), we note that for eachT > 0 there exists a constant T > 0 such that
Then, by (3.28), we obtain
d
dtlogg n(t) ≥ β log g n(t) − θn(T)
T , 0< t < T. (3.30)
Trang 7Yasuhiro Fujita 7 From this inequality, we have
e − βtlogu n(t, ·)
L1 (ν) ≥logu n(0,·)
L1 (ν) − θn(T)
β T
1− e − βt
, 0≤ t ≤ T. (3.31)
Lettingn → ∞and using the Lebesgue’s dominated convergence theorem, we conclude that
e − βtlogu(t, ·)
L1 (ν) ≥log ϕ L1 (ν), 0≤ t ≤ T. (3.32) SinceT > 0 is arbitrary, we obtain the desired result easily The proof is complete.
4 The main results
In this section, we will state our main results of this paper and prove them Forα, β > 0,
we write (1.1)α,βfor the parabolic problem (1.1) to emphasize the dependence onα, β > 0.
We denote byu ϕ,α,βthe unique solution of (1.1)α,βforϕ with (1.2)
Definition 4.1 Let α, β > 0 and q > 1 We defineΓq(α, β) by
Γq(α, β) =ϕ | ϕ( ·)> 0, log ϕ ∈Lip
RN , lim
t →∞u ϕ,α,β(t, ·)
L q(ν) =0
whereν is the Gaussian measure of (3.1) We callΓq(α, β) the basin of (1.1)α,β
We are interested in the problem to compareΓq(α, β) with the ball of the radius δ > 0
defined by
B q(δ) =ϕ | ϕ( ·)> 0, log ϕ ∈Lip
RN , ϕ L q(ν) < δ
Theorem 4.2 Let α, β > 0 and q > 1 Then,
Proof Let ϕ ∈ B1(1) Then, ϕ L1 (ν) ≥1 Sinceν is the probability measure, it follows
fromTheorem 3.5that
lim inf
t →∞ u ϕ,α,β(t, ·)
L q(ν) ≥lim inf
t →∞ u ϕ,α,β(t, ·)
L1 (ν) ≥1. (4.4)
Now, we state the main result of this paper
Theorem 4.3 Let β > 0 and q > 1 Then, we have the following.
(i) There exists a constant α0= α0(β, q) (β/2 < α0) such that
(ii) For each 0 < δ ≤ 1, there exists a constant α1= α1(β, δ, q) (0 < α1< β/2) such that
B q(δ) ⊂Γq(α, β), 0< α ≤ α1. (4.6)
Trang 8ByTheorem 4.3, we see that the Ornstein-Uhlenbeck operatorL contributes to
en-largement of the basin Indeed, ifα ≥ α0, then the basin is large enough to includeB q(1)
On the other hand, if 0< α ≤ α1, the basin is small enough not to includeB q(δ).
Proof (i) Let
α0= qβ
2
Whenα ≥ α0, we getq ≥2α/(2α − β) Hence (i) follows fromTheorem 3.4
(ii) Let
α1= βδ2q/N e − q
We will constructϕ1∈ B q(δ) such that ϕ1∈Γq(α, β) for 0 < α ≤ α1 For 0< α ≤ α1, we set
ρ(x) =exp
−
β
2− α
| x |2− N β
It is easy to see that
ρ L q(ν) =exp
N(β −2α)
2β
2α
q
β −2α + 2α
N/2q
Since 0< α ≤ α1, we getq(β −2α) + 2α ≥ β Hence, for 0 < α ≤ α1, we see that
ρ L q(ν) ≤exp
N(β −2α)
2β
2α
β
N/2q
≤exp
N
2 − αN β
δe − N/2 < δ. (4.11)
Now, chooseC > 0 so that e C ρ L q(ν) < δ This is possible by (4.11) We define the functionu0by
u0(t, x) = ρ(x) exp
Ce βt , (t, x) ∈[0,∞)× R N (4.12)
We set
ϕ0(x) : = u0(0,x) = ρ(x)e C (4.13) Then, it is easy to see thatu0is a solution of (1.1)α,βwithϕ = ϕ0 Furthermore, we have
ϕ0
L q(ν) < δ, lim
t →∞ u0(t, x) =+∞x ∈ R N
However, note thatϕ0does not fulfill (1.2) Hence, we need the following device First of all, let us chooseR > 0 so that
R >
2C
β −2α+
N
β , ν| x | > R
< δ q −ϕ0q
L q(ν) (4.15)
Trang 9Yasuhiro Fujita 9 This is possible by (4.14), becauseν( | x | > R) →0 (R→ ∞) We set
ψ0(x) : =logϕ0(x) = C −
β
2− α
| x |2− N
β
Then, it is easy to see that
Next, we chooseχ ∈ C ∞(RN) such that 0≤ χ( ·)≤1 onRNand
χ(x) =
⎧
⎨
⎩
1, | x | ≤ R,
Then, we define the functionsψ1andϕ1,
ψ1(x) = χ(x)ψ0(x), ϕ1(x) =exp
ψ1(x) , x ∈ R N (4.19)
It is clear to see thatϕ1fulfills (1.2) By (4.17), we have
Letu1= u α,β,ϕ1which is ensured byTheorem 2.2 By (4.15)–(4.17), we see that
ϕ1q
L q(ν) =
| x |≤ R exp
qψ0 d ν +
| x | >Rexp
qχψ0 d ν ≤ϕ0q
L q(ν)+ν| x | > R
< δ q
(4.21) Hence, we see thatϕ1∈ B q(δ).
On the other hand, forj =1, 2, defineη j(j =0, 1) byη j(t, x) = e − βtlogu j(t, x) Since
η jsatisfies
η j
t =1
2Δη j − αx · Dη j+1
2e
βtDη j 2
in (0,∞)× R N,
η j(0,·)= ψ j(·) inRN,
(4.22)
we obtain on (0,∞)× R N,
η1− η0
t =1
2Δη1− η0
+
− αx +1
2e
βt
Dη1+Dη0
· D
η1− η0
ByTheorem 2.2, we see that for anyT > 0 there exists a constant K T such that
− αx +1
2e
βt
Dη1+Dη0
(t, x)
≤ K T
1 +| x |, (t, x) ∈(0,T] × R N,
η1(t, x) − η0(t, x) ≥ − K T
1 +| x |, (t, x) ∈[0,T] × R N
(4.24)
Trang 10By (4.20) and the comparison theorem for parabolic equations (cf [5, Theorem 9, page 43]) we deduce that
η1(t, x) − η0(t, x) ≥0, (t, x) ∈[0,∞)× R N (4.25) Hence, by (4.14), we see that
lim
t →∞ u1(t, x) =+∞, x ∈ R N (4.26)
By Fatou’s lemma, we have
lim
t →∞u1(t, ·)
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Yasuhiro Fujita: Department of Mathematics, Toyama University, Toyama 930-8555, Japan
E-mail address:yfujita@sci.toyama-u.ac.jp
...Yasuhiro Fujita: Department of Mathematics, Toyama University, Toyama 930-8555, Japan
E-mail address:yfujita@sci.toyama-u.ac.jp
... Partial Di fferential Equations of Parabolic Type, Prentice-Hall, New Jersey, 1964.[6] Y Fujita, H Ishii, and P Loreti, Asymptotic solutions of viscous Hamilton-Jacobi... inequalities, American Journal of Mathematics 97 (1975), no 4,
1061–1083.
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