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Near Field Asymptotic Behavior for the Porous Medium Equation on the Half-Line

  • Carmen Cortázar , Fernando Quirós EMAIL logo and Noemi Wolanski
Published/Copyright: March 21, 2017

Abstract

Kamin and Vázquez [11] proved in 1991 that solutions to the Cauchy–Dirichlet problem for the porous medium equation ut=(um)xx, m>1, on the half-line with zero boundary data and nonnegative compactly supported integrable initial data behave for large times as a dipole-type solution to the equation having the same first moment as the initial data, with an error which is o(t-1/m). However, on sets of the form 0<x<g(t), with g(t)=o(t1/(2m)) as t, in the so-called near field, a scale which includes the particular case of compact sets, the dipole solution is o(t-1/m), and their result gives neither the right rate of decay of the solution nor a nontrivial asymptotic profile. In this paper, we will improve the estimate for the error, showing that it is o(t-(2m+1)/(2m2)(1+x)1/m). This allows in particular to obtain a nontrivial asymptotic profile in the near field limit, which is a multiple of x1/m, thus improving in this scale the results of Kamin and Vázquez.

MSC 2010: 35B40; 35K65; 35R35

1 Introduction

This paper is concerned with the large time behavior of solutions to the porous medium equation (PME in what follows) on the half-line with zero boundary data,

(1.1) u t = ( u m ) x x in + × + , u ( 0 , t ) = 0 , t + , u ( x , 0 ) = u 0 ( x ) , x + ,

with m>1, and nonnegative and compactly supported integrable initial data. This problem, which models the flow of a fluid in a porous medium, has a unique weak solution; see [12].The asymptotic behavior was first studied by Kamin and Vázquez in [11], and depends heavily on the fact that solutions to (1.1) preserve the first moment along the evolution, 0xu(x,t)𝑑x=constant for all t>0. Indeed, the behavior is given in terms of the so-called dipole solution of the PME with first moment M=0xu0(x)𝑑x, that is,

(1.2) D M ( x , t ) = t - α F M ( ξ ) , ξ = x t β , α = 1 m , β = 1 2 m ,

for a certain profile function FM.Note that this solution has a self-similar structure, and that, due to the choice of the similarity exponents α and β, its first moment is constant in time. The precise result in [11] states that

(1.3) lim t t α sup x + | u ( x , t ) - D M ( x , t ) | = 0 , M = 0 x u 0 ( x ) 𝑑 x .

In order for DM to be a weak solution of the equation on the half-line, with DM(0,t)=0, the profile FM has to solve, in a weak sense,

(1.4) ( F M m ) ′′ ( ξ ) + β ξ F M ( ξ ) + α F M ( ξ ) = 0 , ξ + , F M ( 0 ) = 0 ,

while the condition on the value of the first moment imposes0ξFM(ξ)𝑑ξ=M.A simple scaling argument shows that

(1.5) F M ( ξ ) = M 1 m F 1 ( ξ / M m - 1 2 m ) .

It turns out that there is a unique bounded profile corresponding to M=1, namely

(1.6) F 1 ( ξ ) = ξ 1 m ( C m - κ m ξ m + 1 m ) + 1 m - 1 ,

with constants Cm and κm given by

(1.7) κ m = m - 1 2 m ( m + 1 ) , C m = ( κ m 2 m + 1 m + 1 0 1 s m + 1 m ( 1 - s m + 1 m ) 1 m - 1 𝑑 s ) m 2 - 1 2 m 2 ;

see [2, 8, 9].Note that F1 has compact support [0,ξ1], where ξ1=(Cm/κm)m/(m+1). Thus, FM has compact support [0,ξM], with

ξ M = ξ 1 M m - 1 2 m .

Let us remark that limt0+0DM(x,t)φ(x)𝑑x=Mφ(0). In other words, the antisymmetric extension D¯M of DM satisfies D¯M(,t)-2Mδ, where δ is the distributional derivative of the delta function. In physics, this is called an elementary dipole. Hence the name dipole solution of the PME for DM.

Remark 1.1

(a) The result in [11] states that solutions to the signed PME in the whole real line

(1.8) u t = ( | u | m - 1 u ) x x , ( x , t ) × + ,

with an integrable and compactly supported initial data having zero mass and a nontrivial first moment xu(x,0)𝑑x=P converge to D¯P/2, with an error which is o(t-α). Solutions to (1.1) clearly fall within this framework, since they coincide with the restriction to the half-line of the solution to (1.8) having as initial datum the antisymmetric extension of u0.

(b) The proof in [11] uses that v(x,t)=-xu(y,t)𝑑y is a solution to the p-Laplacian evolution equation with p=m+1,that is,

(1.9) v t = ( | v x | m - 1 v x ) x , ( x , t ) × + .

The convergence for u is deduced from the convergence of v and its derivatives. In particular, DM=xB-2M, where BK denotes the source-type solution to (1.9) that has Kδ as initial datum.

The limit (1.3) gives the first nontrivial term in the asymptotic expansion of u for x=O(tβ), in the so-called far field limit. However, since FM(0)=0, in the near field, x=o(tβ), it only says that u is o(t-α). The aim of this paper is to improve the result of Kamin and Vázquez in the near field by giving a sharp decay rate, which is faster than that in the far field, and a nontrivial asymptotic profile, which turns out to be a multiple of x1/m. The precise result reads as follows.

Theorem 1.2

Let u be the unique weak solution to (1.1). Then

(1.10) lim t t α + β m sup x + | u ( x , t ) - D M ( x , t ) | ( 1 + x ) 1 m = 0 ,

where DM is the unique dipole solution to the PME with first moment M=0xu0(x)𝑑x.

In particular, on compact sets x[0,K], u is O(t-(α+β/m)), and tα+β/mu(x,t) converges toM2/(m+1)Cm1/(m-1)x1/m, while

sup 0 x g ( t ) u ( x , t ) = O ( t α + β m g ( t ) 1 m )

if g(t), g(t)=o(tβ).

We already know that the result is true in the far-field scale, ξ1x/tβξ2, 0<ξ1ξ2<; see (1.3).If xg(t)tβ, with g(t) as t (the very far field scale), formula (1.3) yields a better result. Nevertheless, since DM(x,t)=0 for xξMtβ, it only says that the solution is o(t-α) there. However, Kamin and Vázquez proved, by using some asymptotic formulas from [6], that s(t)=sup{x:u(x,t)>0} satisfies

s ( t ) = ξ M t β + o ( 1 ) , s ( t ) ξ M t β ,

which gives a complete characterization of the asymptotic behavior for x>ξMtβ. Hence, it only remains to check what happens in the near-field. This is done through a matching argument with the outer behavior, which is based on a clever choice of sub- and supersolutions. Comparison is performed in sets of the form0<x<δtβ for some small δ. The ordering in the outer boundary comes from the outer behavior which was already known from the analysis in [11]. We devote Section 2 to obtain the upper limit and Section 3 to get the lower one.

A similar analysis for the linear heat equation has recently been performed in [4]. However, in that case linearity made things easier since a representation formula for the solution in terms of the initial datum was available. That paper also considers a nonlocal version of the heat equation.

Problem (1.1) admits at least two generalizations to higher dimensions. The first one consists in considering the problem posed on a half-space, with zero boundary conditions at the boundary, which is a hyper-plane. In this case, we also have that the asymptotic behavior of solutions with bounded and compactly supported initial data is given by a dipole-type self-similar solution; see [10]. But, as in the one-dimensional case, the result does not describe properly the large time behavior in the near field scale. Due to the distinguished role of one of the directions, the study of the near field limit will require new ideas, and will be considered elsewhere.

The second generalization consists in considering the problem in outer domains, which are the complement of open bounded sets, once more with zero boundary data. In dimension one a hole disconnects the domain in several components, and one can reduce the study of the unbounded ones to the case of the half-line.

For large dimensions, larger than or equal to three, a full description of the large time behavior in outer domains, including both the near and the far field limit, was given in [3]. One of the main differences to the one-dimensional case is that in large dimensions the rate of decay of solutions does not depend on the scale, which makes the analysis easier. Moreover, there is a nontrivial asymptotic mass, and the far field limit is given not by a dipole-type solution but by an instantaneous point-source solution with this residual mass. In the critical two-dimensional case mass decays to zero, but very slowly. The far field behavior is still given by an instantaneous point source solution, which in this case has a variable mass that decays to zero; see [7]. The near field limit, which is quite involved, is studied in [5]. As in the one-dimensional case, in this critical dimension there are also different decay rates in different scales.

2 Control from Above

The purpose of this section is to prove the “upper” part of equation (1.10). To this end we will construct a supersolution V approaching DM with the right rate as t goes to infinity. We only need the function V to be a supersolution in sets of the form

A δ , T = { ( x , t ) : t T ,  0 < x < δ t β }

for T>0 big and δ>0 small. Our candidate is

(2.1) V ( x , t ) = k ( t ) t - α F M ( x + a t β ) , a > 0 ,

for some function k satisfying k(t)1 as t. It will turn out that a good choice for k is given by the solution to

(2.2) t k ( t ) = - α ( k m ( t ) - k ( t ) ) , t > T , k ( T ) = k 0 > 1 .

Note that k(t) is well defined and that it is a monotone decreasing function of time.

We start by proving that V is a supersolution to the PME in Aδ,T if δ is small and T is big.

Lemma 2.1

Let m>1 and M>0. There exist values δ¯>0 and T¯>0 depending only on M and m such that for all a(0,1), TT¯ and k0>1 the function V given by (2.1)–(2.2) satisfies

V t - ( V m ) x x 0 in A δ , T for all δ ( 0 , δ ¯ ) .

Proof.

Let ξ=(x+a)/tβ. Since mα+2β=α+1, a straightforward computation combined with (1.4) shows that

( V t - ( V m ) x x ) ( x , t ) = t - α - 1 ( t k ( t ) F M ( ξ ) + ( k ( t ) - k m ( t ) ) ( F M m ) ′′ ( ξ ) ) .

Thus, if we choose k satisfying (2.2), we get

( V t - ( V m ) x x ) ( x , t ) = t - α - 1 ( k m ( t ) - k ( t ) ) ( - α F M ( ξ ) - ( F M m ) ′′ ( ξ ) ) , x + , t T .

Now we observe that there is a value ξ¯(0,ξ1) such that F1(ξ)>0 for ξ(0,ξ¯). Therefore,

(2.3) F M ( ξ ) > 0 , ξ ( 0 , ξ ¯ M m - 1 2 m ) .

On the other hand, if we take δ¯<ξ¯M(m-1)/(2m)/2 and then T¯=(1/δ¯)1/β, for any δ(0,δ¯) and TT¯ we get

0 < ξ = x + a t β 2 δ ¯ < ξ ¯ M m - 1 2 m , ( x , t ) A δ , T .

Hence, -(FMm)′′(ξ)-αFM(ξ)=βξFM(ξ)>0 if (x,t)Aδ,T, and the desired result follows since k(t)>1 for all times.∎

We now arrive at the matching part of the result where, using the behavior in the far field scale, we obtain an upper bound in sets of the form Aδ,T for δ small and T large.

Lemma 2.2

Let u be the unique weak solution to (1.1), M=0xu0(x)𝑑x and δ¯ and T¯ as in Lemma 2.1. For every ε>0 there exists a value TεT¯ such that for all a(0,1) and TTε there is a value k01 such that the function V given by (2.1)–(2.2) satisfies

(2.4) u ( x , t ) ( 1 + C δ ε ) V ( x , t ) , ( x , t ) A δ , T , C δ = 1 F M ( δ ) , δ ( 0 , δ ¯ ) .

Proof.

Formula (1.3) implies that for every ε>0 there exists Tε, which may be assumed to be larger than T¯, such that

(2.5) t α | u ( x , t ) - D M ( x , t ) | ε , x + , t T ε .

For any given TTε and some big enough k0>1 to be determined below, we define V by (2.1)–(2.2).

Since k(t)>1, inequality (2.3) implies that DM(x,t)V(x,t) in Aδ,T¯, and hence in Aδ,T. Therefore,

t α ( u ( x , t ) - V ( x , t ) ) t α | u ( x , t ) - D M ( x , t ) | + t α ( D M ( x , t ) - V ( x , t ) ) ε , ( x , t ) A δ , T .

On the other hand, for x=δtβ and tT we have

t α V ( x , t ) t α D M ( x , t ) = F M ( x t β ) = F M ( δ ) ,

and we conclude that

t α ( u ( x , t ) - V ( x , t ) ) t α C δ ε V ( x , t ) .

Thus,

u ( x , t ) ( 1 + C δ ε ) V ( x , t ) W ( x , t ) if x = δ t β , t T .

Since solutions to (1.8) with integrable initial data are bounded for tτ>0, see [12], formula (1.3) implies that there is a constant C0>0 such that u(x,t)C0t-α for tT¯.Thus, using the monotonicity property (2.3), we get

V ( x , T ) = k ( T ) T - α F M ( x + a T β ) k 0 F M ( a T β ) T - α C 0 T - α u ( x , T ) for 0 < x < δ T β

if k0>max{C0/FM(a/Tβ),1}. Therefore, with that choice of k0, we have

u ( x , T ) V ( x , T ) W ( x , T ) if 0 < x < δ T β .

We now observe that W is a supersolution to the PME in Aδ,T. Indeed, in that set

( V m ) x x ( x , t ) = - k ( t ) t - ( α + 1 ) ( α F M ( ξ ) + β ξ F M ( ξ ) ) < 0 ,

and hence Lemma 2.1 implies that

W t - ( W m ) x x = ( 1 + C δ ε ) V t - ( 1 + C δ ε ) m ( V m ) x x
= ( 1 + C δ ε ) ( V t - ( V m ) x x ) - ( ( 1 + C δ ε ) m - ( 1 + C δ ε ) ) ( V m ) x x 0 .

We finally notice that W(0,t)>0 for all t>T. Therefore, comparison yields (2.4).∎

The third ingredient, that we prove next, is that V and DM are ε-close in sets of the form Aδ,T for large times, even when the difference is multiplied by

t α + β m ( 1 + x ) 1 m ,

if the parameter a in the definition of V is O(εm).

Lemma 2.3

Let m>1, M>0, ε>0, and let δ¯ and T¯ be as in Lemma 2.1. There exist values δ^(0,δ¯), T^T¯ independent of ε, and aε(0,1], such that for all δ(0,δ^), TT^ and a(0,aε) the function V given by (2.1)–(2.2) satisfies

(2.6) t α + β m ( 1 + x ) 1 m | V ( x , t ) - D M ( x , t ) | < ε in A δ , T ^ ε for some T ^ ε T .

Proof.

There holds that

t α + β m ( 1 + x ) 1 m | D M ( x , t ) - V ( x , t ) | = t β m ( 1 + x ) 1 m | F M ( x + a t β ) - F M ( x t β ) | I + t β m ( 1 + x ) 1 m F M ( x + a t β ) | k ( t ) - 1 | II .

In order to estimate I we notice that there exist constants ξ^(0,ξ¯) and K>0 such that ξF1(ξ)Kξ1/m for ξ(0,ξ^). Thus, if we take δ^<ξ^M(m-1)/(2m)/2, and then T^=(1/δ^)1/β, for any δ(0,δ^) and TT^, we get

I = t β m ( 1 + x ) 1 m 0 1 F M ( x + s a t β ) a t β 𝑑 s = t β m ( 1 + x ) 1 m 0 1 F M ( x + s a t β ) x + s a t β a x + s a 𝑑 s
K 0 1 ( x + s a ) 1 m - 1 a 𝑑 s m K a 1 m in A δ , T .

Therefore, I<ε2 if a<aε:=min{(ε2mK)m,1}.

As for the other term, we will use that

(2.7) F M ( ξ ) C m 1 m - 1 M m + 1 2 m 2 ξ 1 m , ξ + ;

see formulas (1.5)–(1.6). Therefore, taking into account that a<1, we obtain

II C m 1 m - 1 M m + 1 2 m 2 ( x + a x + 1 ) 1 m | k ( t ) - 1 | C m 1 m - 1 M m + 1 2 m 2 | k ( t ) - 1 | < ε 2

if tT^ε for some T^εT since k(t)1 as t.∎

We finally arrive at the main result of this section, the upper limit.

Proposition 2.4

Let u be the unique weak solution to (1.1) and let DM be the unique dipole solution to the PME with first moment M=0xu0(x)𝑑x. If δ^ is the constant given by Lemma 2.3, then

lim sup t t α + β m sup 0 < x < δ t β ( u ( x , t ) - D M ( x , t ) ) ( 1 + x ) 1 m 0

for all δ(0,δ^).

Proof.

Given ε>0, let Tε be as in Lemma 2.2, and T^ and aε as in Lemma 2.3. We take Tmax{Tε,T^} and a(0,aε), and then k0>1 large so that the function V defined by (2.1)–(2.2) satisfies (2.4) and (2.6) for any given δ(0,δ^) for some large T^εT.

On the other hand, sincek(t)1 as t and a(0,1), using (2.7), we get

t α + β m V ( x , t ) ( 1 + x ) 1 m = k ( t ) t β m ( 1 + x ) 1 m F M ( x + a t β ) 2 C m 1 m - 1 M m + 1 2 m 2 ( x + a x + 1 ) 1 m 2 C m 1 m - 1 M m + 1 2 m 2

for all large enough times.

Combining all the estimates mentioned above we finally get, for 0<x<δtβ and all large enough times,

t α + β m ( 1 + x ) 1 m ( u ( x , t ) - D M ( x , t ) ) C δ ε t α + β m V ( x , t ) ( 1 + x ) 1 m + ε ( C δ 2 C m 1 m - 1 M m + 1 2 m 2 + 1 ) ε .

3 Control from Below

We will now deal with the “lower” part of (1.10). The proof is quite similar to that of the “upper” part. However, in this case, subsolutions are only obtained in sets of the form

A a , δ , T = { ( x , t ) : a < x < δ t β , t T } ,

and the points x(0,a) have to be treated separately.

The subsolution approaching DM with the right rate as t goes to infinity will havethe form

(3.1) v ( x , t ) = c ( t ) t - α F M ( x - a t β ) , a > 0 ,

where c is the solution to the initial value problem

(3.2) t c ( t ) = α ( c ( t ) - c m ( t ) ) , t > T , c ( T ) = c 0 ( 0 , 1 ) .

The function c is well defined for tT. It is monotone increasing and c(t)1 as t, as desired.

We start by proving that v is a subsolution to the PME in Aa,δ,T if δ is small and T is big, no matter the value of a(0,1).

Lemma 3.1

Let m>1 and M>0, and let δ¯>0 be as in Lemma 2.1. For all a(0,1), T>0 and c0(0,1) the function v given by (3.1)–(3.2) satisfies

v t - ( v m ) x x 0 in A a , δ , T for all δ ( 0 , δ ¯ ) .

Proof.

Let ξ=(x-a)/tβ<x/tβ. A computation analogous to the one we did in the proof of Lemma 2.1 shows that

( v t - ( v m ) x x ) ( x , t ) = - t - α - 1 ( c ( t ) - c m ( t ) ) β ξ F M ( ξ ) ;

but

0 < ξ = x - a t β < x t β < δ < δ ¯ < ξ ¯ M m - 1 2 m , ( x , t ) A a , δ , T ,

and hence the result follows from (2.3) since c(t)<1 for all times.∎

The matching with the outer behavior will require to know that u is positive in some set Aδ,T. This is what we prove next.

Lemma 3.2

Let u be the unique weak solution to (1.1), M=0xu0(x)𝑑x.Given δ(0,ξM), there exists a time Tδ such that u(x,t)>0 in Aδ,Tδ.

Proof.

Since δ<ξM, the convergence result (1.3) implies that there is a time tδ such that u(x,t)Kt-α for some K>0 if x(δ2tβ,δtβ), ttδ.

We now use that nonnegative solutions to (1.1) have the so-called retention property: if u(x,t¯)>0, then u(x,t)>0 for all tt¯. This can be proved in several ways, for instance, by using that the application tt1/(m-1)u(x,t) is non-decreasing. This monotonicity property follows easily from the estimate ut-u(m-1)t which is proved by using comparison arguments; see, for instance, [12]. Hence, we have u(x,t)>0 for x(δ2tδβ,δtβ), ttδ.

It only remains to prove that u(x,Tδ)>0 if x(0,δ2Tδβ) for some large enough Tδtδ since the result will then follow from the retention property. The positivity in this fixed interval is achieved by comparison with a suitable translate of a source-type solution of the PME,

B ( x , t ; C ) = t - 1 m + 1 ( C - κ m | ξ | 2 ) + 1 m - 1 , ξ = x t 1 m + 1 , C > 0 ,

where the constant κm is as in formula (1.7). Such solutions are due to Zel’dovič and Kompaneets [13] and Barenblatt [1]. Indeed, take x0(δ2tδβ,δtδβ). It is easy to check that if C>0 is small enough, then

B ( x - x 0 , t δ ; C ) = 0 if x ( δ 2 t δ β , δ t δ β ) , sup δ 2 t δ β x δ t δ β B ( x - x 0 , t δ ; C ) K t δ - α .

Moreover, B(x-x0,t;C) is a solution to (1.1) until it touches the boundary x=0. This will happen in a finite time Tδtδ. Then comparison yields that u(x,t)B(x-x0,t;C) for all t[tδ,Tδ], and hence the required positivity.∎

We now perform the matching with the outer behavior in order to obtain the control from below.

Lemma 3.3

Let u be the unique weak solution to (1.1), M=0xu0(x)𝑑x and δ¯ as in Lemma 2.1.Given ε>0, a(0,1) and δ(0,δ¯), there is a time Tε,a,δ>0 such that for all TTε,a,δ there is a value c0(0,1) such that the function v given by (3.1)–(3.2) satisfies

(3.3) u ( x , t ) ( 1 - C δ ε ) v ( x , t ) , ( x , t ) A a , δ , T , C δ = 1 F M ( δ ) .

Proof.

Let δ(0,δ¯) and a(0,1). Note that δ¯<ξM. The convergence result (1.3) implies that, given ε>0, there exists a value Ta,ε,δmax{Tδ¯,(aδ)1/β} such that (2.5) holds with Tε=Tε,a,δ.

Let TTε,a,δ. We know from Lemma 3.2 that there is a constant κ=κ(a,δ,T) such thatu(x,T)κ if a<x<δTβ. Take now c0(0,1) small so that c0T-αFM(δ)κ. With this choice of T and c0, we define v by (3.1)–(3.2). Using the monotonicity property (2.3), we get

u ( x , T ) c 0 T - α F M ( x - a T ) = v ( x , T ) , a < x < δ T β .

On the other hand, since TTε,a,δ, the convergence result (1.3) together with the self-similar form of DM, cf. formula (1.2), yields

u ( x , t ) - ε t - α + D M ( x , t ) = ( 1 - F M ( δ ) - 1 ε ) D M ( x , t ) , x = δ t β , t T .

We notice now that c(t)<1. Therefore, inequality (2.3) implies that DMv in Aδ,T, and we conclude that

u ( x , t ) ( 1 - C δ ε ) v ( x , t ) w ( x , t ) , x = δ t β , t T

for ε<FM(δ) and Cδ=1/FM(δ).

We now observe that w is a subsolution to the PME in Aa,δ,T. Indeed, in that set we have

( v m ) x x ( x , t ) = - c ( t ) t - ( α + 1 ) ( α F M ( ξ ) + β ξ F M ( ξ ) ) < 0 ,

and hence Lemma 3.1 implies that

w t - ( w m ) x x = ( 1 - C δ ε ) ( v t - ( v m ) x x ) - ( ( 1 - C δ ε ) m - ( 1 - C δ ε ) ) ( v m ) x x 0 in A a , δ , T .

We finally notice that w(a,t)=0 for all t>T. Therefore, a comparison argument allows to conclude that (3.3) holds.∎

The next step is to control the difference between v and DM for large times.

Lemma 3.4

Given m>1, M>0 and ε>0, let δ^ and aε(0,1] be as in Lemma 2.3. Then for all δ(0,δ^), T>0 and a(0,aε) the function v given by (3.1)–(3.2) satisfies

(3.4) t α + β m ( 1 + x ) 1 m | D M ( x , t ) - v ( x , t ) | < ε in A a , δ , T ~ ε for some T ~ ε T .

Proof.

Let x(a,δtβ) with δ<δ^. Arguing as in the proof of Lemma 2.3, we get

t α + β m ( 1 + x ) 1 m | t - α F M ( x - a t β ) - D M ( x , t ) | t β m ( 1 + x ) 1 m 0 1 F M ( x - s a t β ) x - s a t β a x - s a 𝑑 s
K 0 1 ( x - s a ) 1 m - 1 a 𝑑 s
m K a 1 m < ε 2

if a<aε:=min{(ε2mK)m,1}.

On the other hand, using (2.7), we obtain

t α + β m ( 1 + x ) 1 m | t - α F M ( x - a t β ) - v ( x , t ) | = t β m ( 1 + x ) 1 m F M ( x - a t β ) | 1 - c ( t ) |
C m 1 m - 1 M m + 1 2 m 2 ( x - a 1 + x ) 1 m | 1 - c ( t ) |
C m 1 m - 1 M m + 1 2 m 2 | 1 - c ( t ) | < ε 2

if tT~ε for some large enough T~εT since c(t)1 as t.

The combination of the above two estimates yields the result.∎

We now have all tools we need to prove the lower limit. Here a difference arises with respect to the upper limit: we will have to treat separately the limit in sets of the form (0,a) with a small. This is done by using that both u and DM are small in this set for large times.

Proposition 3.5

Let u be the unique weak solution to (1.1) and let DM be the unique dipole solution to the PME with first moment M=0xu0(x)𝑑x. If δ^ is the constant given by Lemma 2.3, then

lim inf t t α + β m sup 0 < x < δ t β ( u ( x , t ) - D M ( x , t ) ) ( 1 + x ) 1 m 0

for all δ(0,δ^).

Proof.

Given δ(0,δ^) and ε(0,FM(δ)), we choose a small value a(0,aε)with aε(0,1] as in Lemma 2.3. We will specify how small it has to be later on. We take Tmax{Tε,Tε,a,δ}, with Tε as in Lemma 2.2 and Tε,a,δ as in Lemma 3.3, and then c0(0,1) small enough so that the function v defined by (3.1)–(3.2) satisfies (3.3) and (3.4).

By Lemma 2.2, we know that there is a value k01 such that the function V defined by (2.1)–(2.2) satisfies (2.4). Besides, since k(t)1 as t, there exists a time TˇT such that k(t)2 for all tTˇ. Therefore, since Cδε<1, using (2.7), we get

t α + β m u ( x , t ) ( 1 + x ) 1 m ( 1 + C δ ε ) t α + β m V ( x , t ) ( 1 + x ) 1 m
2 ( 1 + C δ ε ) t β m ( 1 + x ) 1 m F M ( x + a t β )
4 C m 1 m - 1 M m + 1 2 m 2 ( 2 a ) 1 m < ε 2

if a is small enough. On the other hand, using again (2.7), we get

t α + β m D M ( x , t ) ( 1 + x ) 1 m = t β m ( 1 + x ) 1 m F M ( x t β ) C m 1 m - 1 M m + 1 2 m 2 a 1 m < ε 2 .

We conclude that

t α + β m sup 0 < x < a | u ( x , t ) - D M ( x , t ) | ( 1 + x ) 1 m ε

if t is large enough.

We now consider the set a<x<δtβ. Sincec(t)1 as t, using (2.7), we get

t α + β m v ( x , t ) ( 1 + x ) 1 m = c ( t ) t β m ( 1 + x ) 1 m F M ( x - a t β ) 2 C m 1 m - 1 M m + 1 2 m 2 ( x - a x + 1 ) 1 m 2 C m 1 m - 1 M m + 1 2 m 2

for all large enough times. Combining this estimate with (3.3) and (3.4), we finally get

t α + β m ( 1 + x ) 1 m ( u ( x , t ) - D M ( x , t ) ) - C δ ε t α + β m v ( x , t ) ( 1 + x ) 1 m - ε - ( C δ 2 C m 1 m - 1 M m + 1 2 m 2 + 1 ) ε

for a<x<δtβ and all large enough times.∎


Dedicated to our dear friend Ireneo Peral on the occasion of his 70th birthday



Communicated by Antonio Ambrosetti and David Arcoya


Award Identifier / Grant number: 1150028

Award Identifier / Grant number: MTM2014-53037-P

Award Identifier / Grant number: PIP625

Award Identifier / Grant number: Res. 960/12

Award Identifier / Grant number: PICT-2012-0153

Award Identifier / Grant number: UBACYT X117

Award Identifier / Grant number: 13MATH03

Funding statement: The first author was supported by FONDECYT grant 1150028 (Chile). The second author was supported by project MTM2014-53037-P (Spain). The third author was supported by CONICET PIP625, Res. 960/12, ANPCyT PICT-2012-0153, UBACYT X117, and MathAmSud 13MATH03 (Argentina).

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Received: 2016-10-04
Revised: 2016-12-10
Accepted: 2016-12-10
Published Online: 2017-03-21
Published in Print: 2017-05-01

© 2017 by De Gruyter

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