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. 2017 Aug 1;2017(1):175. doi: 10.1186/s13660-017-1449-1

Remark on the Cauchy problem for the evolution p-Laplacian equation

Liangwei Wang 1,, Jngxue Yin 2, Jinde Cao 3
PMCID: PMC5556400  PMID: 28855784

Abstract

In this paper, we prove that the semigroup S(t) generated by the Cauchy problem of the evolution p-Laplacian equation utdiv(|u|p2u)=0 (p>2) is continuous form a weighted L space to the continuous space C0(RN). Then we use this property to reveal the fact that the evolution p-Laplacian equation generates a chaotic dynamical system on some compact subsets of C0(RN). For this purpose, we need to establish the propagation estimates and the space-time decay estimates for the solutions first.

Keywords: chaos, evolution p-Laplacian equation, Cauchy problem, propagation estimate, decay estimate

Introduction

In this paper, we consider the Cauchy problems of the evolution p-Laplacian equation

utdiv(|u|p2u)=0in (0,)×RN, 1.1
u(x,0)=u0in RN, 1.2

where p>2 and the nonnegative initial value u0 belongs to the weighted L space Wσ(RN){φ;|x|σφ(x)L(RN)} with the norm φ()Wσ(RN)=||σφ()L(RN).

The evolution p-Laplacian equation, as an important class of parabolic equations, comes from the compressible fluid flows in a homogeneous isotropic rigid porous medium. Comparing to the classical linear heat equation, this equation, to a certain extent, reflects even more exactly physical reality [1, 2]. So the studies of this equation have attracted a large number of mathematicians and remarkable progress has been achieved [3]. Among all of the progress, the semigroup method given by Bénilan and Véron [4, 5] is a successful and effective method to treat the evolution p-Laplacian equation.

Using the concepts of dynamical systems to study partial differential equations has also attracted much attention in recent decades. Such concepts, like orbit, ω-limit, attractor and chaos, were introduced to investigate the finite dimensional instances of dynamical systems of ordinary differential equations. In 2002, it was Vázquez and Zuazua [6] who first successfully used the ω-limit set of the rescaled solutions u(t12,t) to study the complicated asymptotic behavior of solutions for the problem (1.1)-(1.2). Subsequently, we [710] investigated the complicated asymptotic behavior of solutions of the porous medium equation by using the ω-limit set of the rescaled solutions tμ2u(tβ,t) with 0<μ,β<. Using ω-limit set to research other partial differential equations, one can refer to [1114].

The theory of chaos on some partial differential equations has also been well developed since the pioneering work of Li, Wiggins, Shatah and McLaughlin; see [15, 16]. Li [17] revealed the fact that around the Silnikov homoclinic orbits, the existence of chaos on Euler equations can be proved by constructing horseshoe. Cazenave, Dickstein and Weisslerit [18] found that the discrete dynamical system generated by the heat equation in some sense is an example of chaos. In 2005, Battellia and Fečkan proved the existence of homoclinic and chaotic solutions of beam equations in [19]. In 2008, Lan and Li [20] found that the numerical Melnikov integral can be used as a tool for both predicting and controlling chaos on Euler equations. The chaos theory on other partial differential equations, one can see [2124].

Inspired by the above papers, especially by [18], we focus our attention on the semigroup and the chaos theory for the evolution p-Laplacian equation. To overcome the difficulties caused by the degeneracy and nonlinearity of this equation, we first establish the propagation estimate and the decay estimate for the solutions of the problem of (1.1)-(1.2). By using the propagation estimate and the decay estimate of the solutions u(x,t), we see that the semigroup S(t) generated by the evolution p-Laplacian equation is continuous from the compact set BMσ,+ to the space C0(RN), where

BMσ,+{φWσ(RN);φWσ(RN)M and φ0}

with the weak-star topology of Wσ(RN). Then using the definition of chaos, the commutative relation between the delation operator Dλσ and the semigroup S(t), we find that, for any fixed λ>1, the map

FλσDλσS(λ21)

defined on compact set S(1)BMσ,+ is chaotic. Here the delation operator Dλσ is defined as

Dλσφ(x)=λ2σσ(p2)+pφ(λ2σ(p2)+px)

for φLloc1(RN).

The rest of this paper is organized as follows. In the next section, we give some definitions and some propositions of the solutions for the problem (1.1)-(1.2). Section 3 is devoted to giving the propagation speed estimate and decay estimate for the solutions of problem (1.1)-(1.2). The continuity of the semigroup S(t) is consider in Section 4. We reveal the fact that the problem (1.1)-(1.2) generates a chaotic dynamical system on certain compact subsets of C0(RN) in Section 5.

Preliminaries

In this section, we give some definitions and present some propositions of solutions for the problem (1.1)-(1.2). We first present the definition of chaos. Although there has been no universally accepted mathematical definition of chaos, the popular text by Devaney [25] isolates three components as being the essential features of chaos. They are formulated for a continuous map F:XX on some metric space (X,d). The first of Devaney’s three conditions is that F is transitive; that is, for all non-empty open subsets U and V of X there exists a natural number k such that

Fk(U)V.

In a certain sense, transitivity is an irreducibility condition. The second of Devaney’s conditions is that the periodic points of F form a dense subset of X. The final condition is called sensitive dependence on initial conditions; F verifies this property if there is a δ>0 such that, for every point xX and every neighborhood Ω of x, there exist a point yΩ and a nonnegative integer k such that

d(Fk(x),Fk(y))>δ.

This sensitivity condition captures the idea that in chaotic systems minute errors in experimental readings eventually lead to large scale divergence. Sensitive dependence on initial conditions is thus widely understood as being the central idea in chaos.

Definition 2.1

Devaney’s definition of chaos [25]

Let (X,d) be a metric space. A continuous map

F:XX

is said to be chaotic on X if

  1. F is transitive;

  2. the periodic points of F are dense in X;

  3. F has sensitive dependence on initial conditions.

To discuss chaotic dynamical system in the evolution p-Laplacian equation, we need to adopt some concepts as that in [3, 26, 27]. For fLloc1(RN), we define

|||f|||r=supRrRN(p2)+pp2{|x|R}|f(x)|dx

and

(f)=limr|||f|||r.

The space X is given by

X{φLloc1(RN);|||φ|||1<}

with the norm ||||||1. Hence it is a Banach space. The space X0 is defined as

X0{φX;(φ)=0}.

The weak solutions of the problem (1.1)-(1.2) is defined as follows.

Definition 2.2

For u0X, a measurable function u=u(x,t) defined in QT=RN×(0,T), T>0, is a weak solution of the problem (1.1)-(1.2) if

uCloc((0,T);Lloc1(RN))Llocp(0,T;Wloc1,p(RN))

and for every test function φC0(QT), the following identity holds:

QT(uφt|u|p2uφ)dxdt=0,

and u(x,t) satisfies the initial-value equation (1.2) in the following sense:

u(x,t)u0(x)in Lloc1(RN)

as t0.

The existence and uniqueness of weak solution of the problem (1.1)-(1.2) for the initial value u0X is shown in [3, 26], and these solutions satisfy the following proposition.

Proposition 2.1

[3, 26, 28]

For every u0X, there exist a time T=T(u0) and a weak solution u(x,t) of the problem (1.1)-(1.2) in QT. Moreover, for

0<tT(u0)=C(u0)(p2), 2.1

the solutions u(x,t) are Hölder continuous in QT(0,T)×RN and satisfy the following estimates:

|||u(,t)|||rC|||u0|||r 2.2

and

|u(x,t)|CtNN(p2)+pRpp2|||u0|||rpN(p2)+pif rR and |x|R, 2.3

where BR is the closed ball in RN with the radius R.

From the above proposition, the following proposition can easily been proved; see [26, 29].

Proposition 2.2

[26, 27]

Let u(x,t) be the nonnegative weak solution of the problem (1.1)(1.2). Given x0RN, if

B(x0)=supR>0RN(p2)+pp2|x0y|<Ru0(y)dy<,

then, for all 0<tCB(x0)(p2),

u(x0,t)=0.

Proposition 2.3

[27]

If the initial value u0X0, one can easily see that T(u0)= and thus these solutions are global. Moreover, the evolution p-Laplacian equation generates a bound semigroup in X0 given by

S(t):u0u(x,t). 2.4

Moreover, if 1q and u0Lq(RN)X0, then S(t) is a contraction bounded semigroup in Lq(RN).

For 0<σ<N, λ>0 and u0X0, the space-time dilation Γλσ is defined as

Γλσ[S(t)u0](x)=Dλσ[S(λ2t)u0](x)=λ2σσ(p2)+pu(λ2σ(p2)+px,λ2t),

where S(t) is the semigroup given by (2.4) and the dilation Dλσ is given by

Dλσφ(x)=λ2σσ(p2)+pφ(λ2σ(p2)+px)

for φLloc1(RN). In this paper, we consider our problem in the L weight space Wσ(RN){φLloc1(RN);|x|σφ(x)L(RN)} with 0<σ<N. We equip this space with the norm φWσ(RN)=||σφ()L(RN). Hence it is a Banach space. Meanwhile, one easily verifies that, for 0<σ<N, Wσ(RN)X0. The closed convex set

BMσ,+{φWσ(RN);φWσ(RN)M and φ0}

with the weak-star topology of Wσ(RN) is compact and separable. Thus it can be meterizable. We use the symbol dMσ, to denote this metric. So, for all M0, the metric space (BMσ,+,dMσ,) is compact, hence complete and separable.

In the rest of this section, we study the relation between the semigroup operator S(t) and the dilation operator Dλσ. Suppose u(x,t) is a weak solution of the problem (1.1)-(1.2) with initial value u0X0. Let

v(x,t)=Γλσ[S(t)u0](x)=λ2σσ(p2)+p(S(λ2t)u0)(λ2σ(p2)+px). 2.5

So

vt=div(|v|p2v).

This mean that v(x,t) is a weak solution of the following Cauchy problem:

{vt=div(|v|p2v)in RN×(0,),v(x,0)=λ2σσ(p2)+pu0(λ2σ(p2)+px)=Dλσu0(x)in RN.

Note that

Dλσu0Wσ(RN)=u0Wσ(RN).

So, u0Wσ(RN), hence

v(x,t)=S(t)(Dλσu0)(x).

Then we get the following commutative relation between the semigroup operator S(t) and the dilation operator Dλσ:

Γλσ[S(t)u0]=Dλσ[S(λ2t)u0]=S(t)[Dλσu0]. 2.6

For any fixed λ>1 and 0<σ<N, we now define the map Fλσ:S(1)BMσ,+S(1)BMσ,+ as

FλσDλσS(λ21)=S(11λ2)Dλσ.

Some estimates

In this section, we first estimate the propagation speed of solutions for Problem (1.1)-(1.2) with the nonnegative initial value u0Wσ(RN). For this purpose, we need some concepts. Let

d(x)sup{R;u0(y)=0 a.e. in BR(x)}

be the distance from x to the support of u0 and let us introduce the following symbol to denote the positive set of u(x,t) at time t:

Ω(t){xRN;u(x,t)>0}.

We also define the ρ-neighborhood of the set Ω(t) as

Ωρ(t){xRN;d(x,Ω(t))<ρ},

where d(x,Ω(t)) is the distance from x to Ω(t).

Theorem 3.1

Propagation estimate

Suppose 0<σ<N and the initial value u0Wσ+(RN), i.e., u00 and u0Wσ(RN). Let u(x,t) be a nonnegative weak solution of the problem (1.1)-(1.2). For any 0t1<t2<, then

Ω(t2)Ωρ(t2t1)(t1),

where ρ(t2t1)=C(t2t1)1σ(p2)+pu0Wσ(RN)p2σ(p2)+p.

Proof

Without loss of generality, we restrict our consideration to the case t1=0. Assume x0RN with d(x0)>0. Note first that, if R<d(x0), then

BR(x0)u0(y)dy=0. 3.1

For any r0, let R=d(x0)+rd(x0). If |x0|<2R, then

BR(x0)B3R(0).

Therefore,

RN(p2)+pp2BR(x0)u0(y)dyCu0Wσ(RN)RN(p2)+pp2B3R(0)|y|σdy=Cu0Wσ(RN)Rpp2σCu0Wσ(RN)d(x0)pp2σ. 3.2

If |x0|2R, then, for any yBR(x0),

|y||x0|RR.

So for 0<σ<N, we have

|y|σRσ.

Therefore,

RN(p2)+pp2BR(x0)u0(y)dyCu0Wσ(RN)RN(p2)+pp2σBR(x0)dy=Cu0Wσ(RN)Rpp2σCu0Wσ(RN)d(x0)pp2σ.

Combining this with (3.1) and (3.2), we have

B(x0)=supR>0RN(p2)+pp2BR(x0)u0(y)dyCu0Wσ(RN)d(x0)(p2)σ+pp2.

Therefore, Proposition 2.2 implies

u(x0,t)=0for all 0tCu0Wσ(RN)(p2)d(x0)(p2)σ+p.

This means

Ω(t)Ωρ(t)(0),

where ρ(t)=Cu0Wσ(RN)p2σ(p2)+pt1(p2)σ+p. So we complete the proof of this theorem. □

In the rest of this section, we pay our attention on the properties of the semigroup S(t).

Theorem 3.2

Let ωC(RN{0}) be a homogeneous function of degree 0. Suppose 0<σ<N and set u0(x)=|x|σω(x). It follows that

S(t)u0(x)=tσσ(p2)+pg(t1σ(p2)+px), 3.3

where g(x)Cα(RN) and |x|σg(x)ω(x)0 as |x|.

Proof

From (2.6) and the definition of the initial value u0, we have

Γλσ[S(s)u0(x)]=λ2σσ(p2)+p[S(λ2s)u0](λ2σ(p2)+px)=S(s)[λ2σσ(p2)+pu0(λ2σ(p2)+p)](x)=S(s)u0(x). 3.4

First notice that, for 0<σ<N,

u0r=supRrRN(p2)+pp2BR|u0(x)|dxCrσpp20as r.

So,

u0X0.

Therefore,

S(s)u0Cα2,α((0,)×RN)

for some 0<α<1; see [26, 27]. In particular,

S(1)u0(x)Cα(RN).

Now taking s=1, λ=t12 and g(x)=S(1)u0(x) in the expression (3.4), we obtain

S(t)u0(x)=tσσ(p2)+pg(t1σ(p2)+px)

and

g(x)Cα(RN).

The fact S(t)u0(x)C([0,)×RN{0,0}) [26, 29] clearly implies that, for |x|=1,

tσσ(p2)+pg(t1σ(p2)+px)=S(t)u0(x)φ(x)=|x|σω(x)=ω(x)

as t0. Let

y=t1σ(p2)+px.

So

|y|as t0.

Therefore,

|y|σg(y)ω(y)0,

as |y|. We complete the proof of this theorem. □

Theorem 3.3

Space-time decay estimates

Given 0<σ<N and a constant M>0, there exists a constant C such that if u0BMσ,+(RN), then

S(t)u0(x)C(t2N(p2)+p+|x|2)σ2, 3.5

for all t>0 and all xRN.

Proof

Let

φ(x)=M|x|σ

and

g(x)=S(1)φ(x).

It follows from Theorem 3.2 that there exists a constant C such that

|g(x)|C(1+|x|2)σ2.

So by (3.3),

S(t)φ(x)C(t2σ(p2)+p+|x|2)σ2.

By the comparison principle [3, 27], we get

S(t)u0(x)S(t)φ(x)C(t2σ(p2)+p+|x|2)σ2.

So the proof of this theorem is complete. □

Continuity of the semigroup

In this section, we first present the fact that the semigroup operator S(t) are continuous from the metric space BMσ,+ to the space C0(RN), which is the basis of the proof of our main result.

Theorem 4.1

For any fixed τ>0, let 0<σ<N and M>0, then, for any t>τ, S(t):(BMσ,+,dMσ,)C0(RN) is continuous. In particular, S(1) is a continuous map from the metric space (BMσ,+,dMσ,) to the space C0(RN).

Proof

Let {un}n1BMσ,+ and u0BMσ,+ such that

dMσ,(un,u0)0as n.

Therefore,

unu0in D(RN) as n. 4.1

Notice also that

unWσ(RN)Mfor all n0.

For any t,R>0, let

R1(t)=R+1+CMp2σ(p2)+pt1σ(p2)+p.

So, for all n0,

supp[(1χR1(t))un]{xRN;|x|>R+1+CMp2σ(p2)+pt1σ(p2)+p},

where χR1(t) is the cut-off function defined on the ball BR1(t)+1{xRN;|x|R1(t)+1} relative to the ball BR1(t){xRN;|x|R1(t)}, i.e.,

χR1(t)(x)C0(RN),0χR1(t)(x)1

and

χR1(t)(x)={1for xBR1(t),0for xBR1(t)+1.

By Lemma 3.1, we get

supp[S(t)(1χR1(t))un]{xRN;|x|R+1}.

This means that the value of S(t)un(x) in BR is only dependent on the initial value un in BR1(t). In other words, for xBR,

S(t)un(x)=S(t)[χR1(t)un](x). 4.2

For any ϵ>0, taking the above R large enough, the inequality (3.5) clearly implies that, if |x|R, then

|S(t)un(x)|<ϵ3for all n0. 4.3

By (4.1) and the hypothesis un,u0Wσ(RN), we get, for 1<q<Nσ,

χR1(t)unχR1(t)u0in Lq(RN).

So,

S(τ)[χR1(t)un]S(τ)[χR1(t)u0]in Lq(RN).

In particular,

S(τ)[χR1(t)un]S(τ)[χR1(t)u0]in D(R).

From (3.5), we know that there exists a constant C(τ) such that

S(τ)[χR1(t)un]L(RN)C(τ)for all n0.

Therefore,

S(τ)[χR1(t)un]S(τ)[χR1(t)u0]weakly-star in L(RN).

From the regularity of the semigroup operator S(t), we obtain, for any fixed t>τ>0,

S(t)[χR1(t)un]S(t)[χR1(t)u0]Lloc(RN)0

as n. This implies, via (4.2), that

S(t)[un]S(t)[u0]L(BR)=S(t)[χR1(t)un]S(t)[χR1(t)u0]L(BR)0.

By (4.3), there exists an integer N such that if n>N, then

S(t)[un]S(t)[u0]L(RN)S(t)[un]S(t)[u0]L(BR)+S(t)[un]L(RNBR)+S(t)[u0]L(RNBR)<ϵ.

So we complete the proof of this theorem. □

Chaotic dynamical system

For any λ>1 and M>0, we recall that the map Fλσ:S(1)BMσ,+S(1)BMσ,+ is defined as

Fλσ=DλσS(λ21).

The ideas of the following theorem come from [18]. We also need a lemma which appeared in [30].

Lemma 5.1

If f:XX is transitive and has dense periodic points, then F has sensitive dependence on initial conditions.

Theorem 5.1

If λ>1 and M>0, then the map Fλσ:S(1)BMσ,+S(1)BMσ,+ is chaotic.

Proof

We first verify that the map Fλσ is well defined. By Theorem 4.1, the uniqueness theorem for the solution of (1.1)-(1.2) with u0X0, we see that S(1) is a continuous, injective, surjective map from the compact Hausdorff space BMσ,+ onto the Hausdorff space S(1)BMσ,+. So we see that S(1) is a homeomorphism from the compact set BMσ,+ to S(1)BMσ,+ by the fact that a continuous, injective, surjective map of the compact Hausdorff space onto the Hausdorff space is a homeomorphism. This means that S(1)BMσ,+ is a compact set. For any φBMσ,+, we have

Fλσ[S(1)φ]=S(1)[Dλσφ]S(1)BMσ,+.

So, Fλσ is well defined. We will divide the rest proof into four steps.

1. The map Fλσ is a continuous map on the compact set S(1)BMσ,+ .

For any sequence {vk}k1BMσ,+ and v0BMσ,+, if

S(1)vkS(1)v0in C0(RN) as k,

then

S(λ2)vk=S(λ21)[S(1)vk]S(λ21)[S(1)v0]=S(λ2)v0in C0(RN)

as k. Here we have used the facts that λ>1 and S(t) is a bounded contractive continuous semigroup in L(RN) for t>0 (Proposition 2.3). Therefore,

Fλσ[S(1)vk]Fλσ[S(1)v0]L(RN)=Dλσ[S(λ2)vk]Dλσ[S(λ2)v0]L(RN)=S(λ2)vkS(λ2)v0L(RN)0

as k. This means that the map Fλσ is a continuous map on the compact set S(1)BMσ,+.

2. The periodic points of Fλσ are dense in S(1)BMσ,+ .

For any kZ+, vBMσ,+ and λ>1, let vk be defined as

vk(x)=n=+χn(x)λ2nσkσ(p2)+pv(λ2nkσ(p2)+px),

where

χn(x)={1if xAn={λ(2n1)kσ(p2)+p|y|<λ(2n+1)kσ(p2)+p},0if xAn.

Note that, for all k>0,

vkWσ(RN)vWσ(RN)M

and

(Dλσ)kvk=vk.

So

vkBMσ,+

and

(Fλσ)k(S(1)vk)=(Fλσ)k1[S(1)(Dλσvk)]==S(1)[(Dλσ)kvk)]=S(1)vk.

Therefore, S(1)vk is a periodic point of Fλσ. Note also that

vk(x)=v(x)if xA0.

This means that

vkvin D(RN{0}) as k,

hence

vkvin (BMσ,+,dMσ,) as k.

Using Theorem 4.1, we get

S(1)vkS(1)vin C0(RN) as k.

This proves that the periodic points of Fλσ are dense in S(1)BMσ,+.

3. The map Fλσ is topologically transitive.

For any open subsets U and V of S(1)BMσ,+, there exist a constant ε>0 and two functions φ, ϕBMσ,+ such that

Bε(S(1)φ)U 5.1

and

Bε(S(1)ϕ)V. 5.2

Now let

U0(x)=n=1(Dλ2n1σ[χ2n(x)ϕ(x)]+Dλ2n11σ[χ2n1(x)φ(x)]), 5.3

where

λn=λ2n+1

and χn(x) is the cut-off function defined on the set An{xRN;λn4σ(p2)+4p<|x|<λnσ(p2)+p} relative to the set An1{xRN;λn+1σ(p2)+p<|x|<λn1σ(p2)+p}. Notice that, for all n1,

supp[Dλ2n1σ(χ2n(x)ϕ(x))]{xRN;λ22n+12nσ(p2)+p<|x|<λ22n+1+2nσ(p2)+p} 5.4

and

supp[Dλ2n11σ(χ2n1(x)φ(x))]{xRN;λ22n2n+1σ(p2)+p<|x|<λ22n+2n1σ(p2)+p}. 5.5

So, for n1, from (5.4) and (5.5), we have

suppDλ2n1σ[χ2n(x)ϕ(x)]suppDλ2n+11σ[χ2n+1(x)φ(x)]=

and

suppDλ2n1σ[χ2n(x)ϕ(x)]suppDλ2n11σ[χ2n1(x)φ(x)]=.

Here we have used the fact that, if i>j1, then

2i+1i>2j+1+j.

So

U0BMσ,+.

Note also that

Dλ2nσU0=ϕin A2n1

and

Dλ2n+1σU0=φin A2n

for n1. So

Dλ2nσU0nϕweakly-star in Wσ(RN)

and

Dλ2n+1σU0nφweakly-star in Wσ(RN).

It follows from Theorem 4.1 that

S(1)Dλ2nσU0nS(1)ϕin C0(RN)

and

S(1)Dλ2n+1σU0nS(1)φin C0(RN).

Then we conclude from the definition of Fλσ that

(Fλσ)22n1[S(1)U0]=S(1)[(Dλσ)22nU0]nS(1)ϕin C0(RN) 5.6

and

(Fλσ)22n[S(1)U0]=S(1)[(Dλσ)22n+1U0]nS(1)φin C0(RN). 5.7

So for the above ε>0, there exists NN such that if nN, then

(Fλσ)22n1[S(1)U0]Bε(S(1)ϕ)V

and

(Fλσ)22n[S(1)U0]Bε(S(1)φ)U.

These results mean that

FλσUV.

So we complete the proof of that Fλσ is topologically transitive.

So the map Fλσ is chaotic by Devaney’s definition of chaos and Lemma 5.1, and the proof of this theorem is complete. □

Conclusion

In this paper, our concern here is the properties of the solutions to the Cauchy problem of the evolution p-Laplacian equation with the initial value u0 belonging to a weighted L spaces, and we get the following results:

  • I.

    The propagation estimate and the decay estimate for the solutions of the problem of (1.1)-(1.2) have been established.

  • II.

    The semigroup S(t) generated by the evolution p-Laplacian equation is continuous from the compact set BMσ,+ to the space C0(RN).

  • III.

    The map Fλσ generated by the evolution p-Laplacian equation is chaotic on the compact subset S(1)BMσ,+ of C0(RN).

In future work, we hope to continue to study the properties of solutions for the Cauchy problem of the evolution p-Laplacian equation with the initial value u0 belonging to other Banach spaces, especially the unbounded spaces.

Acknowledgements

This research was supported by National Natural Science Foundation of China (11071099 and 11371153), Chongqing Fundamental and Frontier Research Project (cstc2016jcyjA0596) and the Chongqing Municipal Commission of Education (KJ1401003, KJ1601009), Innovation Team Building at Institutions of Higher Education in Chongqing (CXTDX201601035), Chongqing Municipal Key Laboratory of Institutions of Higher Education (No. C16).

Footnotes

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

The main ideal of continuity of the semigroup S(t) and chaos was proposed by LW and JY. The propagation estimate and space-time decay estimates were proved by JC. All authors read and approved the final manuscript.

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