Global existence of solutions to 1-d Euler equations with time-dependent damping

Global existence of solutions to 1-d Euler equations with time-dependent damping

Nonlinear Analysis 132 (2016) 327–336 Contents lists available at ScienceDirect Nonlinear Analysis www.elsevier.com/locate/na Global existence of s...

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Nonlinear Analysis 132 (2016) 327–336

Contents lists available at ScienceDirect

Nonlinear Analysis www.elsevier.com/locate/na

Global existence of solutions to 1-d Euler equations with time-dependent damping Xinghong Pan Department of Mathematics and IMS, Nanjing University, Nanjing 210093, China

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Article history: Received 2 October 2015 Accepted 20 November 2015 Communicated by Enzo Mitidieri MSC: 35Q30 76N10

abstract In this paper, we study the 1-d isentropic Euler equations with time-dependent damping. Our damping decays at a speed of order −1 with respect to time which is a little weaker than the linear one. Under our assumption, we will prove the global existence of solutions to the Euler system and obtain L2 and L∞ estimates for the solutions. Our approach is based on some detailed energy estimates. © 2015 Elsevier Ltd. All rights reserved.

Keywords: Euler equation Global existence Time-dependent damping

1. Introduction We study the isentropic Euler equations with time-dependent damping in 1 dimension:   ∂ ρ + ∂x (ρu) = 0,   t µ ∂t (ρu) + ∂x (ρu2 ) + ∂x P (ρ) = − ρu, 1+t    ρ|t=0 = 1 + ερ0 (x), u|t=0 = εu0 (x),

(1.1)

where ρ0 (x), u0 (x) ∈ C0∞ (R), supported in |x| ≤ R and ε > 0 is sufficient small. Here ρ(x), u(x) and P (x) represent the density, fluid velocity and pressure respectively and µ > 0 is a positive number to describe the scale of the damping. We assume the fluid is a polytropic gas which means we assume P (ρ) = γ1 ργ , 1 < γ < 3. We denote c2 = P ′ (ρ). As is well known, for the small data, when the damping is vanishing, the smooth solution of compressible Euler flow will blow up in finite time. While 1-d Euler equations with constant damping, read as  ∂t ρ + ∂x (ρu) = 0, (1.2) ∂t (ρu) + ∂x (ρu2 ) + ∂x P (ρ) = −κρu, E-mail address: [email protected]. http://dx.doi.org/10.1016/j.na.2015.11.022 0362-546X/© 2015 Elsevier Ltd. All rights reserved.

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where κ is a constant, have a global smooth solution. Many authors [2,7,9] have proved the global existence and given a convergence rate of solutions to system (1.2). See also [3,5] etc. and the references therein. It is natural to ask whether the global solution exists when the damping is decayed and what is the critical decayed rate to separate the global existence and the finite-time blow up of solutions with small data. Our article discusses the 1-dimension Euler equations with damping of time-decayed order −1. More precisely, µ for the damping decayed as 1+t , we believe that µ = 2 is the critical value. That is, when µ > 2, system (1.1) has a global smooth solution. While 0 ≤ µ ≤ 2, the C 1 solution of (1.1) will blow up in finite time. The main purpose of this paper is to study the global existence of solutions to (1.1) when µ > 2. For the blow up of the C 1 solution, readers can see the second part of [13] for details. Our system can be transformed into the nonlinear damped wave equation (see Eq. (2.3)) and developed to the problem of “diffusion phenomenon” of the damped wave equation (see [8,6,1,14] etc.). That is, the solution to the Cauchy problem for wtt − ∆w + b(t)wt = 0 behaves, as t → ∞, like the solution of the corresponding parabolic equation −∆φ + b(t)φt = 0 with suitable conditions on b(t). Simply saying, when b(t) = (1+t)−β (−1 < β < 1), the diffusion phenomenon holds, while if b(t) = (1 + t)−β (β > 1), then the solution behaves like the corresponding wave equation µ [12,11]. The case b(t) = 1+t corresponds to the critical one. And the constant µ = 2 is also critical in the following sense. It holds that, when the equation is linear and µ > 2, the energy E(t) decays with order t−1 and decays slower for µ < 2 [10]. Also, µ = 2 separates the global existence and finite-time blow up of solutions to system (1.1). By the Darcy’s law or the diffusion phenomenon, the solution (ρ, u) is expected to behave, as t → ∞, like the solution to the corresponding parabolic system  ∂t ρ¯ + ∂x (¯ ρu ¯) = 0, µ ∂x P (¯ ρ) = − ρ¯u ¯, 1+t when µ > 2. This equations can be transformed into  µ γ+1   ∂t c¯ − c¯2 ∂x2 c¯ − c¯(∂x c¯)2 = 0,  1+t γ−1 1+t   ¯=− ∂x (¯ c2 ), u µ(γ − 1)  γ−1 where c¯ = P ′ (¯ ρ) = (¯ ρ) 2 . In our next paper, we will prove that (¯ c, u ¯) is an approximate solution to the solution (c, u) of system (1.1) and show that the decay of (c − c¯, u − u ¯) is faster than (1 + t)−1 . Throughout this paper we denote a generic constant by C. H m (R) denotes the usual Sobolev space with its norm m  ∥f ∥H m , ∥∂xk f ∥Lp . k=0

For convenience, we use ∥ · ∥ to denote ∥ · ∥L2 and ∥ · ∥m for ∥ · ∥H m . Theorem 1.1. Suppose (ρ0 , u0 ) ∈ H m (R), m ≥ 3 and µ > 2. Then there exists a unique global classical solution (ρ(x, t), u(x, t)) of (1.1) satisfies ∥(1 + t)∂t ρ(t)∥2m−1 + ∥(1 + t)∂x ρ(t)∥2m−1 + ∥(1 + t)∂x u(t)∥2m−1 + ∥(ρ(t) − 1)∥2 + ∥u(t)∥2  t + (1 + τ )(∥∂τ ρ(τ )∥2m−1 + ∥∂x ρ(τ )∥m−1 + ∥∂x u(τ )∥m−1 )dτ ≤ Cε2 (∥ρ0 ∥2m + ∥u0 ∥2m ). 0

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Remark 1.1. By Sobolev inequality, we have the pointwise estimates    1+min{α,1} 2 (|∂xα v(x, t)| + |∂xα u(x, t)|) ≤ Cε. sup (1 + t) α≤m−1

Remark 1.2. Actually when 0 ≤ µ ≤ 2, we can prove the blow up of C 1 solutions to system (1.1). See [13]. In Section 2, we will be devoted to the proof of Theorem 1.1. 2. Proof of Theorem 1.1 In this section, we prove Theorem 1.1 by energy methods. Remember c = transform (1.1) into  2 2  ∂t c + c∂x u + u∂x c = 0,    γ − 1 γ − 1  2 µ ∂t u + u∂x u + c∂x c + u = 0,   γ − 1 1 + t    c|t=0 = 1 + εc0 (x), u|t=0 = εu0 (x),

 γ−1 P ′ (ρ) = ρ 2 . First we

where c0 (x) ∈ C0∞ (R), supported in |x| ≤ R. 2 (c − 1), then v, u satisfy Let v = γ−1  γ−1   ∂t v + ∂x u = −u∂x v − v∂x u,   2  µ γ−1 ∂t u + ∂x v + u = −u∂x u − v∂x v,   1+t 2    v|t=0 = εv0 (x), u|t=0 = εu0 (x),

(2.1)

(2.2)

2 where v0 (x) = γ−1 c0 (x). From (2.2), we have

∂tt v − ∂xx v +

µ ∂t v = Q(v, u), 1+t

(2.3)

where µ Q(v, u) = 1+t

  γ−1 γ−1 γ−1 −u∂x v − v∂x u − ∂t (u∂x v) − ∂t (v∂x u) + ∂x (u∂x u) + ∂x (v∂x v). 2 2 2

In the following, for m ≥ 3, we will estimate (v, u) under the a priori assumption  1 Em (T ) = : sup ∥(1 + t)∂x v(t)∥2m−1 + ∥(1 + t)∂x u(t)∥2m−1 + ∥v(t)∥2 + ∥u(t)∥2 2 0
≤ Mε

(2.4)

where M , independent of ε, will be determined later. By choosing M big and ε small suitably, we will prove Em (T ) ≤

1 M ε. 2

By Sobolev inequality, we know that    α+1 sup (1 + t) 2 (|∂xα v(x, t)| + |∂xα u(x, t)|) ≤ CE2 (t) ≤ CM ε. |α|≤1

Since (2.2) implies |(1 + t)∂t v| + |(1 + t)∂t u| ≤ C {|u| + (1 + t)|∂x v| + (1 + t)|∂x u|} ,

(2.5)

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we also have   α+β+1 sup (1 + t) 2 (|∂xα ∂tβ v(x, t)| + |∂xα ∂tβ u(x, t)|) ≤ CM ε.



(2.6)

α+β≤1

In the following, we will first obtain some elementary estimates for the 1-order derivatives of the solution. Then the higher derivatives will be handled in a similar way. 2.1. Estimate 1 For some constant λ, to be determined later, multiplying (2.3) by λ(1 + t)2 ∂t v yields λ ∂t [(1 + t)2 (∂t v)2 ] + λ(µ − 1)(1 + t)(∂t v)2 − λ(1 + t)2 ∂t v∂xx v = λ(1 + t)2 ∂t vQ(v, u). 2

(2.7)

Integrating it over R × [0, t] and using integration by parts give   t λ (1 + t)2 (∂t v)2 dx + λ(µ − 1) (1 + τ )(∂τ v)2 dxdτ 2 R 0 R   t λ (1 + t)2 (∂x v)2 dx − λ (1 + τ )(∂x v)2 dxdτ + 2 R 0 R    t λ λ 2 2 = (∂t v) |t=0 dx + (∂x v) |t=0 dx + λ(1 + τ )2 ∂τ vQ(v, u)dxdτ 2 R 2 R 0 R  t ≤ Cε2 (∥v0 ∥21 + ∥u0 ∥21 ) + λ(1 + τ )2 ∂τ vQ(v, u)dxdτ. 0

(2.8)

R

Also multiplying (2.3) by (1 + t)v, we get ∂t [(1 + t)v∂t v] +

µ−1 ∂t (v 2 ) − (1 + t)v∂xx v − (1 + t)(∂t v)2 = (1 + t)vQ(v, u). 2

Then integrating (2.9) over R × [0, t] and using integrating by parts give    t  t µ−1 (1 + t)v∂t vdx + v 2 dx + (1 + τ )(∂x v)2 dxdτ − (1 + τ )(∂τ v)2 dxdτ 2 R R 0 R 0 R   t  µ−1 v 2 |t=0 dx + (1 + τ )vQ(v, u)dxdτ = (v∂t v)|t=0 dx + 2 R 0 R R  t 2 2 2 ≤ Cε (∥v0 ∥1 + ∥u0 ∥1 ) + (1 + τ )vQ(v, u)dxdτ. 0

(2.9)

(2.10)

R

Adding (2.8) and (2.10), we have    λ λ µ−1 (1 + t)2 (∂t v)2 dx + (1 + t)2 (∂x v)2 dx + v 2 dx 2 R 2 R 2 R  t  t  2 2 + [λ(µ − 1) − 1] (1 + τ )(∂τ v) dxdτ + (1 − λ) (1 + τ )(∂x v) dxdτ + (1 + t)v∂t vdx 0

0

R

≤ Cε2 (∥v0 ∥21 + ∥u0 ∥21 ) +

 t 0

R

R

[λ(1 + τ )2 ∂τ v + (1 + τ )v]Q(v, u)dxdτ.

(2.11)

R

If µ = 2 + 4δ for some δ > 0, using Cauchy–Schwarz inequality, we have    1 + 4δ 1+δ (1 + t)v∂t vdx ≥ − v 2 dx − (1 + t)2 (∂t v)2 dx. 2(1 + δ) 2(1 + 4δ) R R R

(2.12)

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From (2.11) and (2.12) by choosing λ = 1+2δ 1+4δ , we have    δ 1 + 2δ δ(1 + 4δ) (1 + t)2 (∂t v)2 dx + (1 + t)2 (∂x v)2 dx + v 2 dx 2(1 + 4δ) R 2(1 + 4δ) R 2(1 + δ) R  t  t 2δ 2 + 2δ (1 + τ )(∂τ v) dxdτ + (1 + τ )(∂x v)2 dxdτ 1 + 4δ 0 R 0 R  t 2 ≤ CE1 (0) + [λ(1 + τ )2 ∂τ v + (1 + τ )v]Q(v, u)dxdτ. 0

331

(2.13)

R

So we have 

(1 + t)2 (∂t v)2 dx +

R



(1 + t)2 (∂x v)2 dx +

R

 t

(1 + τ )(∂τ v)2 dxdτ +

+ 0

v 2 dx

R

 t 0

R



(1 + τ )(∂x v)2 dxdτ ≤ CE12 (0) + CI

(2.14)

R

where C depends on µ and  t I = [λ(1 + τ )2 ∂τ v + (1 + τ )v]Q(v, u)dxdτ 0

R

 t

=

  γ−1 µ −u∂x v − v∂x u dxdτ 1+τ 2 0 R    t γ−1 [λ(1 + τ )2 ∂τ v + (1 + τ )v] ∂τ (u∂x v) + − ∂τ (v∂x u) dxdτ 2 0 R    t γ−1 2 + [λ(1 + τ ) ∂τ v + (1 + τ )v] ∂x (u∂x u) + ∂x (v∂x v) dxdτ 2 0 R [λ(1 + τ )2 ∂τ v + (1 + τ )v]

= I1 + I2 + I3 . Now we estimate I1 , I2 and I3 .     t   t γ−1 γ−1 v∂x u dxdτ + µ v∂x u dxdτ. I1 = λµ v −u∂x v − (1 + τ )∂τ v −u∂x v − 2 2 0 R 0 R From (2.6), using Cauchy–Schwarz inequality and integration by parts, we have   t   t u2 2 2 2 I1 ≤ CM ε (1 + τ )(|∂τ v| + |∂x v| + |∂x u| ) + dxdτ + C uv∂x vdxdτ 1+τ 0 R 0 R   t  u2 2 2 2 ≤ CM ε (1 + τ )(|∂τ v| + |∂x v| + |∂x u| ) + dxdτ. 1+τ 0 R

(2.15)

Now we focus on the estimate of I2 , then I3 will be essentially the same with I2 . Dealing I2 the same with I1 , we have  t I2 ≤ CM ε (1 + τ )(|∂τ u|2 + |∂x v|2 + |∂τ v|2 )dxdτ 0

 t − 0

R 2 (1 + τ )2 u∂τ v∂xτ vdxdτ −

 t 0

R

2 (1 + τ )vu∂xτ vdxdτ

R

    γ−1 t γ−1 t 2 2 2 − (1 + τ ) v∂τ v∂xτ udxdτ − (1 + τ )v 2 ∂xτ udxdτ 2 2 0 R 0 R  t = CM ε (1 + τ )(|∂τ u|2 + |∂x v|2 + |∂τ v|2 )dxdτ 0

R

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1 + 2

 t

 t

2

(1 + τ ) ∂x u(∂τ v) dxdτ + 0

γ−1 2



2

(1 + τ )∂x (vu)∂τ vdxdτ 0

R

 t 0

2 (1 + τ )2 v∂τ v∂xτ udxdτ +

R

R

γ−1 2

 t 0

(1 + τ )∂x v 2 ∂τ udxdτ.

R

Using (2.6) again, we have  t I2 ≤ CM ε 0

(1 + τ )(|∂τ u|2 + |∂x v|2 + |∂τ v|2 )dxdτ −

R

γ−1 2

 t 0

2 (1 + τ )2 v∂τ v∂xτ udxdτ.

(2.16)

R

From (2.2) ∂x u =

−∂t v − u∂x v . 1 + γ−1 2 v

Then 2 ∂xt u=−

2 ∂t2 v + ∂t u∂x v + u∂xt v + γ−1 1+ 2 v

γ−1 2 ∂t v(∂t v + u∂x v) .  2 1 + γ−1 v 2

(2.17)

From (2.6), we have 1 1+

γ−1 2 v



1 . 1 − CM ε

(2.18)

Inserting (2.17) and (2.18) into (2.16), we have  t 2 (1 + τ )2 v∂τ v∂xτ udxdτ 0

R



 γ−1 2 ∂τ2 v + ∂τ u∂x v + u∂xτ v 2 ∂τ v(∂τ v + u∂x v) = (1 + τ ) v∂τ v − + dxdτ  2 1 + γ−1 0 R 1 + γ−1 v 2 v 2  t v 2 ≤− ∂τ v(∂τ2 v + u∂xτ v)dxdτ (1 + τ )2 1 + γ−1 v 0 R 2  t CM 2 ε2 + (1 + τ )(|∂τ v|2 + |∂x v|2 )dxdτ. (1 − CM ε)2 0 R  t

2

Combining (2.16) and (2.19), we have   t M 2 ε2 I2 ≤ C M ε + (1 + τ )(|∂τ v|2 + |∂x v|2 + |∂τ u|2 )dxdτ (1 − CM ε)2 0 R   t  v vu 2 2 2 2 − (1 + τ ) ∂τ v∂τ v + (1 + τ ) ∂τ v∂xτ v dxdτ 1 + γ−1 1 + γ−1 0 R 2 v 2 v   t M 2 ε2 (1 + τ )(|∂τ v|2 + |∂x v|2 + |∂τ u|2 )dxdτ + I2,1 + I2,2 . = C Mε + (1 − CM ε)2 0 R Using integration by parts with respect to τ , we have   1 t v I2,1 = − (1 + τ )2 ∂τ (∂τ v)2 dxdτ 2 0 R 1 + γ−1 v 2   1 v 1 εv0 2 =− (1 + t)2 (∂ v) dx + (∂τ v(·, 0))2 dx t γ−1 2 R 2 R 1 + γ−1 1+ 2 v εv 0 2

(2.19)

(2.20)

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1 + 2



 t

2

v

333



(∂τ v)2 dxdτ γ−1 1 + v 0 R 2  t  Cε CM ε CM ε (1 + τ )(∂τ v)2 dxdτ. (2.21) ≤ E12 (0) + (1 + t)2 (∂t v)2 dx + 1 − Cε 1 − CM ε R (1 − CM ε)2 0 R ∂τ (1 + τ )

And using integration by parts, we have   1 t vu I2,2 = − ∂x (∂τ v)2 dxdτ (1 + τ )2 2 0 R v 1 + γ−1 2    t 1 vu 2 = (∂τ v)2 dxdτ (1 + τ ) ∂x 2 0 R 1 + γ−1 v 2 ≤

CM 2 ε2 (1 − CM ε)2

 t 0

(1 + τ )2 (∂τ v)2 dxdτ.

(2.22)

R

Inserting (2.21) and (2.22) into (2.20), we have  t CM ε I2 ≤ (1 + τ )(|∂τ v|2 + |∂x v|2 + |∂τ u|2 )dxdτ (1 − CM ε)2 0 R  CM ε Cε E12 (0) + (1 + t)2 (∂t v)2 dx. + 1 − Cε 1 − CM ε R We can deal I3 almost the same with I2 . Then we can get  t CM ε I3 ≤ (1 + τ )(|∂τ v|2 + |∂x v|2 + |∂x u|2 )dxdτ (1 − CM ε)2 0 R  CM ε Cε E1 (0) + (1 + t)2 (∂x v)2 dx. + 1 − Cε 1 − CM ε R

(2.23)

(2.24)

Remember that in (2.2), we have   |u| |∂t u| ≤ C |∂x v| + |∂x u| + . 1+t Inserting the estimates of I1 (2.15), I2 (2.23) and I3 (2.24) into (2.14), we have    (1 + t)2 (∂t v)2 dx + (1 + t)2 (∂x v)2 dx + v 2 dx R

R

 t + 0

R

(1 + τ )(∂τ v)2 dxdτ +

R

 t 0

(1 + τ )(∂x v)2 dxdτ

R

   CM ε 1+ε 2 E1 (0) + (1 + t)2 (∂t v)2 + (∂x v)2 dx 1 − Cε 1 − CM ε R   t    CM ε u2 2 2 2 + (1 + τ ) (∂ v) + (∂ v) + (∂ u) + dxdτ. τ x x (1 − CM ε)2 0 R 1+τ

≤C

2.2. Estimate 2 Multiplying (2.2) 2 by u and integrating on R × [0, t] yield    t   t  1 µ γ−1 ∂τ u2 + u∂x v + u2 dxdτ = −u∂x u − v∂x v udxdτ. 2 1+τ 2 0 R 0 R

(2.25)

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Then using integration by parts, we have  t    t µ 1 ε2 v∂x udxdτ + u2 dx − u20 dx − u2 dxdτ 2 R 2 R 1 + τ 0 R 0 R   t  γ−1 −u∂x u − = v∂x v udxdτ. 2 0 R Using (2.2) and (2.6), we have   t  t 1 γ−1 µ 2 u dx + v(∂τ v + u∂x v + v∂x u)dxdτ + u2 dxdτ 2 R 2 1 + τ 0 R 0 R   t    1 2 2 2 2 u + (1 + τ ) (∂x v) + (∂x u) dxdτ. ≤ CE1 (0) + CM ε 1+τ 0 R Then we can have 

 t

µ u2 dxdτ R 0 R 1+τ   t    1 2 2 2 2 u + (1 + τ ) (∂x v) + (∂x u) dxdτ. ≤ CE1 (0) + CM ε 1+τ 0 R (u2 + v 2 )dx +

(2.26)

2.3. Estimate 3 By differentiating (2.2) 2 with respect to x and integrating its product with (1 + τ )2 ∂x u on R × [0, t], we have      t  t µ γ−1 2 ∂x u dxdτ = (1 + τ )2 ∂x u∂x −u∂x u − v∂x v dxdτ. (1 + τ )2 ∂x u ∂xτ u + ∂x2 v + 1+τ 2 0 R 0 R Then 1 2

 t (1 + t)2 (∂x u)2 dx + (µ − 1) (1 + τ )(∂x u)2 dxdτ R 0 R    t γ−1 2 + (1 + τ ) ∂x ∂τ v + u∂x v + v∂x u ∂x vdxdτ 2 0 R    t γ−1 2 2 ≤ CE1 (0) + v∂x v dxdτ. (1 + τ ) ∂x u∂x −u∂x u − 2 0 R



So 1 2

 t  t   (1 + t)2 (∂x u)2 + (∂x v)2 dx + (µ − 1) (1 + τ )(∂x u)2 dxdτ − (1 + τ )(∂x v)2 dxdτ R 0 R 0 R  t γ−1 ≤− (1 + τ )2 ∂x (u∂x v + v∂x u)∂x vdxdτ 2 0 R    t γ−1 + CE12 (0) + (1 + τ )2 ∂x u∂x −u∂x u − v∂x v dxdτ. 2 0 R



We can deal with the right terms almost the same with I2 and I3 . Then we can get the estimate   t  t   (1 + t)2 (∂x u)2 + (∂x v)2 dx + (1 + τ )(∂x u)2 dxdτ − (1 + τ )(∂x v)2 dxdτ R 0 R 0 R    1+ε 2 CM ε ≤C E (0) + (1 + t)2 (∂t v)2 + (∂x v)2 dx 1 − Cε 1 1 − CM ε R   t    CM ε u2 2 2 2 + (1 + τ ) (∂ v) + (∂ v) + (∂ u) + dxdτ. τ x x (1 − CM ε)2 0 R 1+τ

(2.27)

X. Pan / Nonlinear Analysis 132 (2016) 327–336

Let (2.25) + (2.26) + 12 × (2.27), then we get      (1 + t)2 (∂t v)2 + (∂x v)2 + (∂x u)2 + v 2 + u2 dx R   t    u2 2 2 2 (1 + τ ) (∂τ v) + (∂x v) + (∂x u) + + dxdτ 1+τ 0 R    1+ε 2 CM ε ≤C E (0) + (1 + t)2 (∂t v)2 + (∂x v)2 dx 1 − Cε 1 1 − CM ε R   t    u2 CM ε 2 2 2 + (1 + τ ) (∂ v) + (∂ v) + (∂ u) + dxdτ. τ x x (1 − CM ε)2 0 R 1+τ

335

(2.28)

2.4. Estimates for higher derivatives The estimates as (2.25) and (2.27) can also be obtained for higher derivatives. In fact, by multiplying (2.3) by ∂x2 [λ(1 + τ )2 ∂τ v + (1 + τ )v] and integrating it on R × [0, t], we can get    2 (1 + t)2 (∂xt v)2 dx + (1 + t)2 (∂x2 v)2 dx + (∂x v)2 dx R R R  t  t 2 + (1 + τ )(∂xτ v)2 dxdτ + (1 + τ )(∂x2 v)2 dxdτ 0 R 0 R   2 2  CM ε 1+ε 2 E2 (0) + (1 + t)2 (∂xt v) + (∂x2 v)2 dx ≤C 1 − Cε 1 − CM ε R  t   2 2  CM ε (1 + τ ) (∂xτ v) + (∂x2 v)2 + (∂x2 u)2 dxdτ. (2.29) + 2 (1 − CM ε) 0 R By differentiating (2.2) 2 two times with respect to x and integrating its product with (1+τ )2 ∂x2 u on R×[0, t], we have   t   (1 + t)2 (∂x2 u)2 + (∂x2 v)2 dx + (1 + τ )(∂x2 u)2 dxdτ R 0 R   2 2  1+ε 2 CM ε ≤C E2 (0) + (1 + t)2 (∂xt v) + (∂x2 v)2 dx 1 − Cε 1 − CM ε R  t   2 2  CM ε (1 + τ ) (∂xτ v) + (∂x2 v)2 + (∂x2 u)2 dxdτ. (2.30) + 2 (1 − CM ε) 0 R Combining (2.28)–(2.30) gives ∥(1 + t)∂t v∥21 + ∥(1 + t)∂x v∥21 + ∥(1 + t)∂x u∥21 + ∥v∥2 + ∥u∥2   t ∥u∥2 + (1 + τ )(∥∂τ v∥21 + ∥∂x v∥21 + ∥∂x u∥21 ) + dτ 1+τ 0 1+ε 2 CM ε ≤C E2 (0) + (∥(1 + t)∂t v∥21 + ∥(1 + t)∂x v∥21 ) 1 − Cε 1 − CM ε   t CM ε ∥u∥2 2 2 2 + (1 + τ )(∥∂ v∥ + ∥∂ v∥ + ∥∂ u∥ ) + dτ. τ x x 1 1 1 (1 − CM ε)2 0 1+τ Actually, we can prove for any m ≥ 1 ∥(1 + t)∂t v∥2m−1 + ∥(1 + t)∂x v∥2m−1 + ∥(1 + t)∂x u∥2m−1 + ∥v∥2 + ∥u∥2   t ∥u∥2 + (1 + τ )(∥∂τ v∥2m−1 + ∥∂x v∥2m−1 + ∥∂x u∥2m−1 ) + dτ 1+τ 0

(2.31)

X. Pan / Nonlinear Analysis 132 (2016) 327–336

336

1+ε 2 CM ε E (0) + (∥(1 + t)∂t v∥2m−1 + ∥(1 + t)∂x v∥2m−1 ) 1 − Cε m 1 − CM ε   t ∥u∥2 CM ε 2 2 2 (1 + τ )(∥∂τ v∥m−1 + ∥∂x v∥m−1 + ∥∂x u∥m−1 ) + dτ. + (1 − CM ε)2 0 1+τ

≤C

(2.32)

When ε is small, for some C0 , we get ∥(1 + t)∂t v∥2m−1 + ∥(1 + t)∂x v∥2m−1 + ∥(1 + t)∂x u∥2m−1 + ∥v∥2 + ∥u∥2   t ∥u∥2 (1 − CM ε)2 + (1 + τ )(∥∂τ v∥2m−1 + ∥∂x v∥21 + ∥∂x u∥2m−1 ) + dτ ≤ C ε2 . 2 − CM ε 0 1 + τ (1 − CM ε) 0 Let M 2 = 5C0 . By using the smallness of ε, we can have 1 2 2 M ε . (2.33) 4 The local existence of symmetrizable hyperbolic equations has been proved by using the fixed point theorem in [4]. In order to get the global existence of the system, we only need a priori estimate. Based on our above estimate (2.33), we yield (2.5). This finishes the proof of our Theorem 1.1. 2 Em (t) ≤

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