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

CRITICAL EXPONENT FOR THE ASYMPTOTIC BEHAVIOR OF RESCALED SOLUTIONS TO THE POROUS MEDIUM

EQUATION

LIANGWEI WANG, JINGXUE YIN

Abstract. In this article, we find thatµc2N/(N(m−1) + 2) is the critical exponent for the asymptotic behavior of rescaled solutionstµ/2u(tβx, t) for the porous medium equation.

1. Introduction

In this article, we consider the asymptotic behavior of solutions to the Cauchy problem of the porous medium equation

∂u

∂t −∆um= 0 inRN×(0,∞), (1.1)

u(x, t) =u0(x) inRN. (1.2) Here the initial value satisfies

u0∈C0+(RN)≡ {ϕ∈C(RN); lim

|x|→∞ϕ(x) = 0 and ϕ(x)≥0}

andm >1 is a physical constant.

Asymptotic behavior of solutions for the porous medium equation has attracted much attention of mathematicians for a long time and many interesting results have been obtained, see [2, 8, 9, 10, 12, 13, 14, 15, 18, 19, 20, 21].

Friedman and Kamin [9] first revealed the fact that if the nonnegative initial valueu0∈L1(RN), then the solutionu(x, t) of problem (1.1)–(1.2) satisfies

t→∞lim tN(m−1)+2N ku(·, t)−UM(·, t)kL(RN)= 0,

whereUM(x, t) is the source-type solution with the same massM as that ofu0; see also [10, 13].

This result means that if 0≤u0∈L1(RN), then theω-limit set of rescaled solu- tionstµ/2u(tβx, t) withµ= N(m−1)+22N andβ= N(m−1)+21 contains one point; that is, the rescaled solutions tN(m−1)+2N u(tN(m−1)+21 x, t) possess the simple asymptotic behavior (KV point in Figure 1). However, for u0 ∈L(RN), in 2002, V´azquez and Zuazua [14] found that the ω-limit set of the rescaled solutions tµ/2u(tβx, t)

2010Mathematics Subject Classification. 35B40, 35K65.

Key words and phrases. Complexity; asymptotic behavior; porous medium equation.

2017 Texas State University.c

Submitted November 17, 2016. Published January 10, 2017.

1

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of problem (1.1)–(1.2) with µ = 0 and β = 1/2 may contain infinite points, i.e., u(t1/2·, t) (VZ point in Figure 1) possess complicated asymptotic behavior.

Such phenomena that the different exponents of rescaled solutionstµ/2u(tβx, t) show different asymptotic behaviors for the porous medium equation have been studied in [2, 14, 15, 20, 21], for other evolution equations, one can see [3, 4, 5, 6, 7, 11].

For theω-limit set of the rescaled solutionstµ/2u(tβ·, t) of problem (1.1)–(1.2) in C0(RN), we showed in our previous paper [20] that if (µ, β)∈I ( 0< µ <N(m−1)+22N and β > β(µ) = 2−µ(m−1)4 , then there existsu0∈C0+(RN) such that thisω-limit set contains infinite points; see Figure 1). In another paper [21], we revealed that if µ and β in the line segment β(µ) = 2−µ(m−1)4 (0 < µ < N(m−1)+22N , see Figure 1), then there also exists u0∈C0+(RN) such that thisω-limit set contains infinite points. While in this paper, we will reveal the different fact that if (µ, β) ∈ II (µ ≥ N(m−1)+22N , β > 0, then for any u0 ∈ C0+(RN), this ω-limit set contains at most one point, see Figure 1), i.e., the complicated asymptotic behavior of the rescaled solutions cannot happen.

O µ

β

With C omplexity

(KV) β(µ) = 2µ4(m1)

µc=N(m−1)+22N (0,12)

N(m−1)+21

(VZ)

Without Complexity Remain Problems

II I

III

∂u∂t∆(um) = 0 u(x,0) =u0(x)

Figure 1. Theµ-β Parameters Plane

Remark 1.1. From the above results, we can find thatµc= 2N/(N(m−1) + 2) is the critical exponent of µ on the asymptotic behavior of the rescaled solu- tionstµ/2u(tβx, t). It is not clear whether the rescaled solutionstµ/2u(tβx, t) with (µ, β) ∈ III (0 < µ < 2N/(N(m−1) + 2) and 0 < β < (2−µ(m−1))/4, see Figure 1) possess complicated asymptotic behavior, so the problem of the critical exponent forβ still has not been solved.

The rest of this article is organized as following. In the next section, we introduce some definitions and concepts to give a series of lemmas. In the last of this paper, we give and prove our results.

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2. Preliminaries

Before introducing the main results of this paper, we give some concepts as in [1, 16, 17]. Forf ∈L1loc(RN) andr >0, let

k|fk|r= sup

R≥rRN(m−1)+2m−1 Z

|x|≤R

|f(x)|dx.

Then we define the spaceX =X(RN) by

X ≡ {f ∈L1loc(RN);k|fk|1<∞},

and equip this space with the norm k| · k|1. Hence it is a Banach space, and any normk| · k|r,r >0, is an equivalent norm. Forf ∈X, we define

`(f) = lim

r→∞|kfk|r. The spaceX0=X0(RN) is defined by

X0≡ {f ∈X;`(f) = 0}.

Notice thatL1(RN)⊂X0 ⊂X ⊂L1loc(RN) with continuous inclusions. Similarly, L(RN)⊂X0 with continuous inclusion. We now give the definition of solutions for problem (1.1)–(1.2) with the initial valueu0∈X0.

Definition 2.1. A nonnegative measurable function u=u(x, t) defined in ST = [0, T)×RN,T >0, is a solution of (1.1)–(1.2) if

(I) u∈C([0, T);L1loc(RN))TL(0, T;X);

(II) um∈L1((0, T)×Br(0)) for anyBr(0)≡ {x∈RN;|x|< r, r >0};

(III) for every test functionφ∈Cc2,1(ST), it holds Z Z

ST

(uφt+um∆φ)dx dt+Z

RN

u0(x)φ(x,0)dx= 0.

For any u0 ∈ X0, the existence and uniqueness of the solution is well estab- lished in [1, 16, 17]. Moreover, problem (1.1)–(1.2) generates a bounded continuous semigroup in the spaceX0 given by

S(t) :u0→u(x, t); (2.1)

that is, S(t)u0 ∈C([0,∞);X0), see [16, 17]. We now introduce the definitions of scalings and present the commutative relations between the semigroup operators and the dilation operators as in [20, 21]. For λ, µ, β > 0 and u0 ∈ X0, the space-time dilation Γµ,βλ is defined as following:

Γµ,βλ [u0](x)≡Dµ,βλ [S(λ2t)u0(x)] =λµu(λx, λ2t), where the dilationDλµ,βis defined as

Dµ,βλ w(x)≡λµw(λx)

and S(t) is the PME semigroup given by (2.1). From the definitions of Dµ,βλ and S(t), we can get the following commutative relations between the semigroup oper- atorsS(t) and the dilation operatorsDµ,βλ ,

Γµ,βλ u0(x) =Dµ,βλ [S(λ2t)u0(x)] =S(λ2−4β−µ(m−1)t)[Dµ,βλ u0](x).

In particular,

Γµ,βtu0(x) =S(t2−4β−µ(m−1)

2 )[Dµ,βtu0](x), (2.2)

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see details in [20, 21]. The set of functions

ωµ,β(u0)≡ {f ∈C0+(RN);∃tn→ ∞s.t. Dµ,βtn[S(tn)u0](·)−−−−→tn→∞ f inL(RN)}

is called Ω-limit set. We also introduce the following symbol to denote the positive set ofu(x, t) at timet,

Ω(t)≡ {x∈RN;u(x, t)>0}.

Theρ-neighborhood of the set Ω(t) is defined as

ρ(t)≡ {x∈RN; d(x,Ω(t))≤ρ},

whered(x,Ω(t)) is the distance fromxto Ω(t). We now list some important prop- erties of the solutions.

Lemma 2.2 ([16]). If 0 ≤ u0 ∈ L1(RN), then the solution u(x, t) satisfies the L1-L smoothing effect: for every t >0,

ku(·, t)kL(RN)≤C1ku0kLN(m−1)+21(R2N) tN(m−1)+2N , whereC1 is a constant dependent onmandN.

The following lemma was proved in [20], we give here a different proof for the sake of completeness.

Lemma 2.3 ([20]). Let u(x, t) be a nonnegative solution of (1.1)–(1.2) with the initial valueu0 such that 0≤u0∈L1(RN). Then for any0≤t1< t2<∞,

Ω(t2)⊂Ωρ(t2−t1)(t1), where

ρ(t2−t1) =C2(t2−t1)N(m−1)+21 ku0kLN(m−1)+21(m−1RN)

andC2 is a constant dependent onmandN.

Proof. To prove this lemma, we need the fact that ifu(x, t) is a nonnegative solution of (1.1)–(1.2) with the initial datau0satisfying

0≤u0∈L(RN), then

Ω(t2)⊂Ωρ(t2−t1)(t1) for 0≤t1< t2<∞, (2.3) where

ρ(t2−t1) =C(t2−t1)1/2ku0kLm−12(RN). In fact, for any givenx0∈RN withd(x0)>0, ifR≥d(x0), then

RN(m−1)+2m−1 Z

BR(x0)

u0(y)dy≤Cku0kL(RN)RN(m−1)+2m−1 RN

=Cku0kL(RN)Rm−12

≤Cku0kL(RN)d(x0)m−12 ; or ifR < d(x0), then

Z

BR(x0)

u0(y)dy= 0,

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whereBR(x0) ={y;|x0−y|< R}. So B(x0)≡ sup

R≥d(x0)

RN(m−1)+2m−1 Z

BR(x0)

u0(y)dy≤Cku0kL(RN)d(x0)m−12 . (2.4) The condition 0≤u0∈L(RN)⊂X0 implies that if|x| ≤R andr≤R, then

u(x, t)≤CtN(m−1)+2N Rm−12 k|u0k|rN(m−1)+22 for 0< t <∞, see [1, 16]. This result and (2.4) imply that

u(x0, t) = 0 for all 0≤t≤Cku0k−(m−1)L(RN)d(x0)2. This implies Ω(t)⊂Ωρ(t)(0), where

ρ(t) =Cku0kLm−12(RN)t1/2. From this, we can get the desired result.

We now discuss the case that 0≤u0∈L1(RN) to complete the proof. Without loss of generality, we can restrict our consideration to the case oft1= 0. For any 0< t <∞, we select a sequence of times

tk= 2−kt→0 ask→ ∞.

We then consider the evolution in the time intervals Ik = [tk, tk−1]; that is, we will estimate the increase of the support in these time intervals. From theL1-L smoothing effect, at each initial timet=tk, we have

ku(tk)kL(RN)≤C(p, N)ku0kLN(m−1)+21(R2N) tkN(m−1)+2N . (2.5) Therefore, we can deduce from (2.3) that

Ω(tk−1)⊂Ωρ(tk−1−tk)(tk),

whereρ(tk−1−tk) =Cku(tk)kLm−12(RN)(tk−1−tk)1/2. Iterating, we have Ω(t)⊂Ωρ(t)(0),

where ρ(t) =C

X

k=1

ku(tk)kLm−12(RN)(tk−1−tk)1/2≤C

X

k=1

ku0kLN(m−1)+21(m−1RN) tkN(m−1)+21

=Cku0kLN(m−1)+21(m−1RN) tN(m−1)+21

X

k=1

2N(m−1)+2k ≤Cku0kLN(m−1)+21(m−1RN) tN(m−1)+21 . Here we have used the estimates (2.5). The proof is complete.

The next lemma is called Aleksandrov’s reflection (see [16]). We introduce some notation to give this principle. AnyH, hyperplane ofRN, dividesRN into two half spaces Ω1(H) and Ω2(H). We denote byπ=πH the specular symmetry that maps a pointx∈Ω1(H) into its symmetric image with respect to H,πH(x)∈Ω2(H).

Lemma 2.4 (Aleksandrov’s Reflection Principle [16]). Let u≥0 be a solution of problem (1.1)–(1.2)with initial valueu0∈X0. Suppose that for a given hyperplane H and allx∈Ω1(H),

u0H(x))≤u0(x).

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Then, for all times0≤t <∞,

u(πH(x), t)≤u(x, t), x∈Ω1(H).

The following lemma depends on Lemma 2.3 and 2.4.

Lemma 2.5. Supposeu(x, t)is a non-negative solution of (1.1)–(1.2)with initial- value u0∈C0+(RN)andu06≡0. Let

M(t) =Z

|x|≤t

1

2N(m−1)+4 u0(x)dx.

Then there exists a0< t0<∞such that fort≥t0, u(0, t)≥CtN(m−1)+2N M(t)N(m−1)+22 .

Proof. Since the nonnegative initial valueu06≡0 andu0∈C(RN), then there exist constantst1, C3>0 such that

Z

Bt1

u0(x)dx≥C3. Now let

t2=C2N(m−1)+22 C3−2m+2, t3= (2N+1C1|B1|)2N(m−1)+4N C3−2m+2

where C1, C2 are the constants given in Lemma 2.2 and Lemma 2.3 respectively.

Lett0 = max (t1, t2, t3). Then for any t≥t0, using comparison principle, we can suppose that u0 is supported in the ball Bt ={x;|x| ≤t2N(m−1)+41 }. In fact, for generalu0, supposeηt(x) is a cut-off function compactly supported inBtand less

than one with Z

Bt

ηt(x)u0(x)dx≥ 1 2M(t),

then u0ηt is lesser than u0. Therefore, if v is the solution with initial data u0ηt, then

v(x, s)≤u(x, s) for all s >0.

Hence, if this lemma holds forv(x, t), then u(0, t)≥v(0, t)≥C(1

2M(t))N(m−1)+22 tN(m−1)+2N .

Therefore, in the next part of this proof, we assume that suppu0⊂Bt. So, M(t) =Z

RN

u0(x)dx≥C3. TheL1-Lsmoothing effect implies that for any s >0,

0≤u(x, s)≤C1M(t)N(m−1)+22 sN(m−1)+2N . The conservation of mass means that for alls≥0,

Z

RN

u0(x)dx=Z

RN

u(x, s)dx

=Z

|x|≥2t2N(m−1)+41

u(x, s)dx+Z

|x|≤2t2N(m−1)+41

u(x, s)dx,

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the last term can be estimated as Z

|x|≤2t2N(m−1)+41

u(x, s)dx≤2NC1|B1|M(t)N(m−1)+22 sN(m−1)+2N t2N(m−1)+4N , (2.6) where |B1| is the measure of the unit ball B1 in RN. Since suppu0 ⊂ Bt, then Lemma 2.3 indicates that for alls >0,

suppu(x, s)⊂BR1(s),

whereR1(s) =t2N(m−1)+41 +C2M(t)N(m−1)+2m−1 sN(m−1)+21 . Lets=tand R(t) = 4C2M(t)N(m−1)+2m−1 tN(m−1)+21 .

Notice thatt≥t0≥t2=C2N(m−1)+22 C3−2m+2 andM(t)≥C3. So

R(t)>2R1(t)≥4t2N(m−1)+41 . (2.7)

The hypothesis suppu0 ⊂ Bt implies, via the Aleksandrov reflection principle (Lemma 2.4), that for all|x| ≥2t2N(m−1)+41 ands≥0,

u(0, s)≥u(x, s).

So, from (2.7), we have

u(0, t)R(t)N ≥u(0, t)(R(t)N −2Nt2N(m−1)+4N )

= 1

|B1| Z

2t

2N(m−1)+41 ≤|x|≤R(t)

u(0, t)dx

≥ 1

|B1| Z

2t

1

2N(m−1)+4≤|x|≤R(t)

u(x, t)dx

= 1

|B1| Z

|x|≥2t2N(m−1)+41

u(x, t)dx

= 1

|B1| Z

RN

u(x, t)dx− 1

|B1| Z

|x|<2t

1

2N(m−1)+4 u(x, t)dx.

Now using estimate (2.6) andt≥t0≥t3, we obtain u(0, t)R(t)N ≥ 1

|B1|[M(t)−2NC1|B1|M(t)N(m−1)+22 t2N(m−1)+4N ]≥ 1

2|B1|M(t).

It follows from the definition ofR(t) that

u(0, t)≥CtN(m−1)+2N M(t)N(m−1)+22 .

The proof is complete.

3. Results and their proofs

Theorem 3.1. Let u0 ∈ C0+(RN), u0 6≡ 0. If there exist 0 6≡ v ∈ C0(RN), µ0N(m−1)+22N0>0 and a sequence {tn}n=1 withlimn→∞tn= +∞such that

Γµ0t0

n u0=tnµ20[S(tn)u0](tβn0·)−−−−→tn→∞ v in C0(RN), (3.1) then

u0∈L1(RN), µ0= 2N N(m−1) + 2,

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β0=2−µ0[m−1]

4 = 1

N(m−1) + 2.

In other words, if µ >N(m−1)+22N , or if µ= N(m−1)+22N andβ6= N(m−1)+21 , then ω(u0) =∅, or ω(u0) ={0}.

Proof. It follows from (3.1) and Lemma 2.5 that ifnsufficiently large, then v(0) + 1≥[Γµ0t0

n u0](0) =tnµ20[S(tn)u0](0)≥Ct

µ0 2N N(m−1)+2

n 2 M(tn)N(m−1)+22 . (3.2) HereM(t) is given by Lemma 2.5. Lettingn→ ∞, we conclude that

µ0= 2N

N(m−1) + 2 andu0∈L1(RN). Notice also thatu0≥0. This gives

DN(m−1)+2t 2N ,N(m−1)+21 S(t)u0(x) =tN(m−1)+2N u(tN(m−1)+21 x, t)→UM(x,1) (3.3) uniformly on RN as t → ∞. Here UM(x, t) is the source-type solution with the same mass as that ofu0, whereM =R

RNu0(x)dx, see [10, 13]. Therefore, DN(m−1)+2t 2N 0

n S(tn)u0(x)−UM(xtβn0N(m−1)+21 ,1)−−−−→n→∞ 0 (3.4) uniformly onRN. The expression of the source-type solution clearly means

supp(UM(x,1))⊂ {x;|x| ≤CMN(m−1)+2m−1 }, so that ifβ0>N(m−1)+21 , then

UM(xtβn0N(m−1)+21 ,1)→0 for allx6= 0

astn→ ∞. Notice also thatv6≡0, so (3.4) is compatible with (3.1) only if

β0≤ 1

N(m−1) + 2. On the other hand, from (3.1) and (3.3) we deduce that

DN(m−1)+2tn2N ,N(m−1)+21 S(tn)u0(x)−v(tnN(m−1)+21 −β0x)→0 (3.5) uniformly onRN astn → ∞. The hypothesis thatv∈C0(RN) clearly implies that ifβ0< N(m−1)+21 , then

v(tnN(m−1)+21 −β0x)→0 for all x6= 0

as tn → ∞. Recall that u0 6≡0, so UM 6≡0. Therefore, (3.5) is compatible with (3.3) only if

β0≥ 1

N(m−1) + 2. Hence

β0= 1

N(m−1) + 2.

So that ωµ,β(u0) = ∅ ifµ > N(m−1)+22N , or if µ = N(m−1)+22N and β 6= N(m−1)+21 .

This completes the proof.

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Theorem 3.2. Let

µ= 2N

N(m−1) + 2, and β = 1 N(m−1) + 2. If u0∈C0+(RN), then

ωµ,β(u0) =∅, or ωµ,β(u0) ={UM(x,1)},

whereUM(x, t)is source-type solution with the same mass M as that ofu0. Proof. Ifu0∈C0+(RN), thenu0∈L1(RN), or elseu0∈L1loc(RN) withku0kL1(RN)=

∞. Ifu0∈L1(RN), then

t→∞lim tN(m−1)+2N u(tN(m−1)+21 x, t) =UM(x,1) inL(RN). (3.6) So

ωµ,β(u0) ={UM(x,1)}.

Ifu0∈L1loc(RN) andku0kL1(RN)=∞, approximatingu0by an increasing sequence of integrable datau0n, applying (3.6) and passing to the limit, we have

t→∞lim tN(m−1)+2N u(tN(m−1)+21 x, t) =∞ in L(RN).

Henceωµ,β(u0) =∅. The proof is complete.

Remark 3.3. As we had showed in [20, 21] that for 0< µ <2N/(N(m−1) + 2), ifβ = (2−µ(m−1))/4, then there exists an initial valueu0∈C0+(RN) such that the Ω-limit setωµ,β(u0) contains the set

S(1)C0+(RN)≡ {S(1)ϕ;ϕ∈C0+(RN)},

or if β > 2−µ(m−1)4 , then there also exists an initial valueu0∈C0+(RN) such that the Ω-limit setωµ,β(u0) contains the set

C0+,0(RN)≡ {ϕ∈C0+(RN);ϕ(0) = 0}.

Therefore,

µc= 2N N(m−1) + 2

is the critical exponent of µ on the asymptotic behavior of the rescaled solutions tµ/2u(tβ·, t).

Acknowledgements. This research was supported by the NSFC (11071099 and 11371153), Natural Science Foundation Project of CQ (cstc2016jcyjA0596), Scien- tific and Technological Research Program of Chongqing Municipal Education Com- mission (KJ1401003, KJ1601006), and Innovation Team Building at Institutions of Higher Education in Chongqing (CXTDX201601035).

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Liangwei Wang (corresponding author)

Key Laboratory for Nonlinear Science and System Structure, College of Mathematics and Statistics, Chongqing Three Gorges University, Chongqing 404000, China

E-mail address:[email protected]

Jingxue Yin

School of Mathematical Sciences, South China Normal University, Guangzhou 510631, China

E-mail address:[email protected]

参照

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