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Electronic Journal of Differential Equations, Vol. 2020 (2020), No. 85, pp. 1–15.

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

STABILITY OF INITIAL-BOUNDARY VALUE PROBLEM FOR QUASILINEAR VISCOELASTIC EQUATIONS

KUN-PENG JIN, JIN LIANG, TI-JUN XIAO

Abstract. We investigate the stability of the initial-boundary value problem for the quasilinear viscoelastic equation

|ut|ρutt∆utt∆u+ Z t

0

g(ts)∆u(s)ds= 0, in Ω×(0,+∞), u= 0, in∂Ω×(0,+∞),

u(·,0) =u0(x), ut(·,0) =u1(x), in Ω,

where Ω is a bounded domain ofRn (n1) with smooth boundary∂Ω, ρ is a positive real number, and g(t) is the relaxation function. We present a general polynomial decay result under some weak conditions ong, which generalizes and improves the existing related results. Moreover, under the conditiong0(t)≤ −ξ(t)gp(t), we obtain uniform exponential and polynomial decay rates for 1 p < 2, while in the previous literature only the case 1p <3/2 was studied. Finally, under a general conditiong0(t)≤ −H(g(t)), we establish a fine decay estimate, which is stronger than the previous results.

1. Introduction

In this article, we consider the stability of the initial-boundary value problem for quasilinear viscoelastic equations,

|ut|ρutt−∆utt−∆u+ Z t

0

g(t−s)∆u(s)ds= 0, in Ω×(0,+∞), u= 0, in∂Ω×(0,+∞),

u(·,0) =u0(x), ut(·,0) =u1(x), in Ω,

(1.1)

where Ω is a bounded domain of Rn(n ≥ 1) with smooth boundary ∂Ω, ρ is a positive real number, andg(t) the relaxation function.

In [16], under the assumption that the bounded C1-function g : R+ → R+ satisfies

1− Z +∞

0

g(t)ds >0, g0(t)≤ −ξgp(t), 1≤p < 3

2, (1.2)

whereξ >0 is a constant, Messaoudi and Tatar obtained decay rates in [16, Theo- rem 3.1].

2010Mathematics Subject Classification. 35Q74, 35B35, 74H55, 74H40, 93D15.

Key words and phrases. Quasilinear viscoelastic equation; polynomial and exponential decay;

relaxation function; uniform decay.

c

2020 Texas State University.

Submitted November 11, 2019. Published July 30, 2020.

1

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More recently, Messaoudi and Al-Khulaifi [13] improved this result [16, Theorems 3.1] by using the assumption that the non-increasing differentiable function g : R+→R+ satisfies

1− Z +∞

0

g(t)ds >0, g0(t)≤ −ξ(t)gp(t), 1≤p < 3

2, (1.3)

hereξ(t) :R+→R+ is a non-increasing differentiable function withξ(0)>0.

Messaoudi and Mustafa [14] also studied problem (1.1) and the corresponding decay results were obtained for the following condition ong(t),

g0(t)≤ −H(g(t)), t≥0, (1.4)

where H is a positive function and satisfies some conditions (see details in [14, hypotheses (A2) and (A3)]).

For more related information on the stability of problem (1.1) and some related equations or systems, we refer the reader to [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 18, 19, 20, 21, 22, 23, 24] and references therein.

In this article, we investigate the stability for problem (1.1) by using more general (weaker) assumptions on the relaxation functionsg(t). We establish ideal stability theorems with exact uniform polynomial decay ratest−1 for the solutions to this problem, under some basic conditions (see Theorem 3.2). Furthermore, in Theorems 3.4 and 3.6, our results hold for all 1≤p <2, while in the previous literature only the case: 1≤p < 32 was studied. Therefore, all of our results, with much weaker conditions on the relaxation functiong(t), are optimal so far.

In the next section, we prove some estimates (lemmas) which will be used in Section 3. Finally, we will state and prove our main results in Section 3.

2. Basic estimates In this article we use the following assumptions:

(A1) 0< ρ, ifn= 1,2; and

0< ρ≤ 2

n−2, ifn≥3;

(A2) g(t) : [0,+∞)→[0,+∞) is a non-increasing differentiable function with meas(J0) = 0, g(0)>0, g0(t)≤0, µ0>0,

where

J0:={s≥0; g(s)>0, g0(s) = 0}= 0, µ0:= 1− Z +∞

0

g(t)dt.

In the sequel,C, Ci>0,i= 1,2, . . . represent positive constants which are possibly different in different places. We denote

G(t) :=

Z +∞

t

g(s)ds, fort≥0;

M(δ) :=

Z +∞

0

g(s)

Kδ(s)ds, Kδ(s) := −g0(s) g(s) +δ, whereδ∈(0,1) is a constant. We define

I1(t) :=

Z

Z t 0

G(t−s)|∇u(s)|2ds dx,

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I2(t) :=M(δ) δ

Z

Z t 0

G(t−s)|∇u(s)|2ds dx+E(t) . Lemma 2.1. Fort≥0,

d

dtI1(t)≤ −1 2

Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|2ds dx+ 2G(0) Z

|∇u(t)|2dx, (2.1) and

d

dtI2(t)≤ −1 2M(δ)

Z

Z t 0

Kδ(t−s)g(t−s)|∇u(t)− ∇u(s)|2ds dx + 2δM(δ)G(0)

Z

|∇u(t)|2dx.

(2.2)

Moreover,

δM(δ)→0, asδ→0. (2.3)

Proof. Noting that

−(a±b)2≤ −1

2a2+b2, we see by a direct calculation that, fort≥0,

d

dtI1(t) =− Z

Z t 0

g(t−s)|∇u(s)|2ds dx+G(0) Z

|∇u(t)|2dx

=− Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)− ∇u(t)|2ds dx +G(0)

Z

|∇u(t)|2dx

≤ −1 2

Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|2ds dx

+ Z

Z t 0

g(t−s)|∇u(t)|2ds dx+G(0) Z

|∇u(t)|2dx

≤ −1 2

Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|2ds dx+ 2G(0) Z

|∇u(t)|2dx.

This means that (2.1) holds.

From the definition ofKδ(s), (2.1) and (3.2), it follows that d

dtI2(t)≤ −1 2M(δ)

Z

Z t 0

(δg(t−s) +g0(t−s))|∇u(t)− ∇u(s)|2ds dx + 2δM(δ)G(0)

Z

|∇u(t)|2dx

≤ −1 2M(δ)

Z

Z t 0

Kδ(t−s)g(t−s)|∇u(t)− ∇u(s)|2ds dx + 2δM(δ)G(0)

Z

|∇u(t)|2dx.

According to [8, P. 1525, lines 8-10], we know that (2.3) is true. Thus, we completed

the proof.

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We define

F1(t) := 1 ρ+ 1

Z

|ut|ρutu dx+ Z

∇u· ∇utdx,

Lemma 2.2. Fort≥0, d

dtF1(t)≤ −µ0 2

Z

|∇u|2dx+ 1 2µ0

Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|ds2 dx +

Z

|∇ut|2dx+ 1 ρ+ 1

Z

|ut|ρ+2dx.

(2.4)

Proof. Clearly, we can rewrite the first equation in (1.1) as

|ut|ρutt−∆utt− 1−

Z t 0

g(s)ds

∆u− Z t

0

g(t−s) (∆u(t)−∆u(s))ds= 0. (2.5) It follows from (2.5) that

d

dtF1(t) = 1−

Z t 0

g(s)dsZ

u∆udx+ Z

u(t) Z t

0

g(t−s) (∆u(t)−∆u(s))ds dx +

Z

|∇ut|2dx+ 1 ρ+ 1

Z

|ut|ρ+2dx

=− 1−

Z t 0

g(s)dsZ

|∇u|2dx

− Z

∇u(t)· Z t

0

g(t−s) (∇u(t)− ∇u(s))ds dx +

Z

|∇ut|2dx+ 1 ρ+ 1

Z

|ut|ρ+2dx

≤ −µ0

Z

|∇u|2dx+µ0 2

Z

|∇u|2dx

+ 1 2µ0

Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|ds 2

dx

+ Z

|∇ut|2dx+ 1 ρ+ 1

Z

|ut|ρ+2dx

≤ −µ0 2

Z

|∇u|2dx+ 1 2µ0

Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|ds2 dx +

Z

|∇ut|2dx+ 1 ρ+ 1

Z

|ut|ρ+2dx.

This completes the proof.

Now, we define F2(t) :=

Z

∆ut− 1

ρ+ 1|ut|ρut

Z t 0

g(t−s)(u(t)−u(s))ds dx.

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Lemma 2.3. There is a constant C1>0 such that, fort≥t0, d

dtF2(t)

≤ − G(0) 2(ρ+ 1)

Z

|ut(t)|ρ+2dx−G(0) 2

Z

|∇ut(t)|2dx

0G(0) 16

Z

|∇u(t)|2dx+C1

Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|ds 2

dx

−C1

Z

Z t 0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx,

(2.6)

wheret0 a positive large number so that Z t0

0

g(s)ds= 3G(0) 4 . Proof. By (2.5), we obtain

d dtF2(t)

=− 1 ρ+ 1

Z t 0

g(s)ds Z

|ut(t)|ρ+2dx+ Z t

0

g(s)ds Z

ut(t)∆ut(t)dx +

Z

ut

Z t 0

g0(t−s)(∆u(t)−∆u(s))ds dx

− 1 ρ+ 1

Z

|ut|ρut

Z t 0

g0(t−s)(u(t)−u(s))ds dx

− 1−

Z t 0

g(s)dsZ

∆u(t)· Z t

0

g(t−s)(u(t)−u(s))ds dx

− Z

Z t 0

g(t−s)(∆u(t)−∆u(s))ds Z t

0

g(t−s)(u(t)−u(s))ds dx

=− 1 ρ+ 1

Z t 0

g(s)ds Z

|ut(t)|ρ+2dx− Z t

0

g(s)ds Z

|∇ut(t)|2dx

− Z

∇ut· Z t

0

g0(t−s)(∇u(t)− ∇u(s))ds dx

− 1 ρ+ 1

Z

|ut|ρut

Z t 0

g0(t−s)(u(t)−u(s))ds dx +

1− Z t

0

g(s)dsZ

∇u(t)· Z t

0

g(t−s)(∇u(t)− ∇u(s))ds dx

+ Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|ds2 dx.

(2.7)

Next, let us to estimate the third, fourth and fifth terms on the right of (2.7).

First we estimate the fourth term. By Young’s and Holder’s inequality, for any ζ1>0, we have

− 1 ρ+ 1

Z

|ut|ρut

Z t 0

g0(t−s)(u(t)−u(s))ds dx

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≤ 1 ρ+ 1ζ1

Z

|ut|2ρ+2dx− g(0) 4ζ1(ρ+ 1)

Z

Z t 0

g0(t−s)|u(t)−u(s)|2ds dx.

By (A1), (A2) and the Sobolev embedding inequality, we obtain Z

|ut|2ρ+2dx≤Cs(2E(0))ρ Z

|∇ut|2dx . By Poincar´e’s inequality, we have

− Z

Z t 0

g0(t−s)|u(t)−u(s)|2ds dx≤ −Cp Z

Z t 0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx, whereCpis the Poincar´e’s constant andCsthe Sobolev embedding constant. There- fore,

− 1 ρ+ 1

Z

|ut|ρut

Z t 0

g0(t−s)(u(t)−u(s))ds dx

≤ Cs

ρ+ 1(2E(0))ρζ1

Z

|∇ut|2dx

− g(0)Cp1(ρ+ 1)

Z

Z t 0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx.

(2.8)

Now, we estimate the third and fifth terms. It is not hard to see that, for any ζ2, ζ3>0,

− Z

∇ut· Z t

0

g0(t−s)(∇u(t)− ∇u(s))ds dx

≤ζ2 Z

|∇ut|2dx−g(0) 4ζ2

Z

Z t 0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx,

(2.9)

and

1− Z t

0

g(s)dsZ

∇u(t)· Z t

0

g(t−s)(∇u(t)− ∇u(s))ds dx

≤ζ3 Z

|∇u(t)|2dx+ 1 4ζ3

Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|ds2

dx.

(2.10)

Thus, combining (2.8), (2.9), (2.10) with (2.7), we know that d

dtF2(t)

≤ − 1 ρ+ 1

Z t 0

g(s)ds Z

|ut(t)|ρ+2dx

−Z t 0

g(s)ds−ζ2− Cs

ρ+ 1(2E(0))ρζ1Z

|∇ut(t)|2dx

−g(0)

2 + g(0)Cp

1(ρ+ 1) Z

Z t 0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx +ζ3

Z

|∇u(t)|2dx+ 1 + 1

3 Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|ds2

dx.

Setting

ζ1= (ρ+ 1)G(0)

8Cs(2E(0))ρ, ζ2= G(0)

8 , ζ3= µ0G(0) 16 ,

we obtain the estimate (2.6). This completes the proof.

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3. Main results and their proofs

We firstly state an existence and uniqueness result for problem (1.1), which can be proved by using similar arguments as in [4, 15] so we omit it here.

Theorem 3.1. Let (A1) and (A2) hold. Then for any u0 ∈H01(Ω), u1 ∈H01(Ω), the problem (1.1)has a unique global solution on[0,∞)with the regularity

u∈C1 R+;H01(Ω) . We introduce the energy functional

E(t) := 1 ρ+ 2

Z

|ut|ρ+2dx+1 2 Z

|∇ut|2dx+1 2

1− Z t

0

g(s)dsZ

|∇u|2dx

+1 2 Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|2ds dx.

(3.1)

Then, fort≥0, d

dtE(t) =−1 2g(t)

Z

|∇u|2dx+1 2

Z

Z t 0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx

≤1 2

Z

Z t 0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx,

(3.2)

and

E(t)∼ Z

|ut|ρ+2+|∇ut|2+|∇u|2 dx

+ Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|2ds dx.

(3.3)

The following is our general uniform decay theorem for the solution energy of prob- lem (1.1).

Theorem 3.2. Let (A1) and (A2) hold. Then, for u0, u1 ∈H01(Ω), the solution energyE(t)of the problem (1.1)satisfies

Z +∞

0

E(t)≤CE(0), t≥0, E(t)≤CE(0)(t+ 1)−1, t≥0, whereC >0 is a constant.

Proof. The proof is mainly based on the construction of an auxiliary functionL(t) satisfying

L(t0)≤CE(0), L(t)≥0, t≥0,

and d

dtL(t)≤ −0E(t), t≥t0. (3.4) Clearly, integrating (3.4) we obtain the desired estimate. Now, we apply the lemmas obtained in the previous section to construct this auxiliary functionL(t). We define

J(t) :=N E(t) +F1(t) + 4

G(0)F2(t).

By the definitions ofF1(t) andF2(t) and a simple calculation, we see that, there is a constantc0>0 such that, fort≥0,

|F1(t)|,|F1(t)| ≤c0E(t).

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TakingN >8C1/G(0) large enough, we obtain

c1E(t)≤J(t)≤c2E(t), t≥0, wherec1, c2>0 are constants.

Thus, by (2.4), (2.6) and (3.2), fort≥t0, we have d

dtJ(t)≤ −µ0

4 Z

|∇u(t)|2dx− 1 ρ+ 1

Z

|ut(t)|ρ+2dx− Z

|∇ut|2dx

+4C1

G(0)+ 1 2µ0

Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|ds2 dx.

(3.5)

Moreover, Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|ds2 dx

≤ Z

Z t 0

g(s) Kδ(s)ds

Z t 0

Kδ(t−s)g(t−s)|∇u(t)− ∇u(s)|2ds dx

≤M(δ) Z

Z t 0

Kδ(t−s)g(t−s)|∇u(t)− ∇u(s)|2ds dx.

Hence, by (3.5), fort≥t0, we see that d

dtJ(t)

≤ −µ0 4

Z

|∇u(t)|2dx− 1 ρ+ 1

Z

|ut(t)|ρ+2dx− Z

|∇ut|2dx

+4C1

G(0)+ 1 2µ0

M(δ)

Z

Z t 0

Kδ(t−s)g(t−s)|∇u(t)− ∇u(s)|2ds dx.

(3.6)

Now we define

L(t) :=J(t) + µ0

32G(0)I1(t) + 24C1 G(0) + 1

0

I2(t).

Then, by (2.1), (2.2) and (3.6), fort≥t0, we obtain d

dtL(t)≤ −3µ0

16 −4G(0)4C1 G(0)+ 1

0

δM(δ)Z

|∇u(t)|2dx

− 1 ρ+ 1

Z

|ut(t)|ρ+2dx− Z

|∇ut|2dx

− µ0 64G(0)

Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|2ds dx.

(3.7)

Convergence (2.3) shows that there existsδ0>0 such that, for any 0< δ < δ0,

δM(δ)≤ µ0

64G(0) G(0)4C1 +1

0

.

Thus, by (3.7) and (3.3), we deduce that, for 0 < δ < δ0, there exists a constant 0>0 such that, fort≥t0,

d

dtL(t)≤ −0E(t). (3.8)

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Since L(t)≥0 for t ≥0, andL(t0) ≤CE(0), it follows by integrating (3.8) over [t0, τ) that for anyτ > t0,

Z τ t0

E(t)dt≤CE(0).

So,

Z +∞

0

E(t)dt≤CE(0). (3.9)

Noting thatE0(t)≤0, by(3.9), we obtain

E(t)≤CE(0)(t+ 1)−1, t≥0.

This completes the proof.

Remark 3.3. (1) As showed in Theorem 3.2, the polynomial decay rates can be obtained without the control conditions ong0(t) used previously.

There are many functionsg(t) satisfying the assumptions (A2) without satisfying the previous restriction that g(t) controls g0(t) as in (1.2), (1.3) and (1.4). For example, if

g(t) = √

2 + sint

e−t, t≥0, then

g0(t) =− √

2−cost+ sint e−t

=−√

2 1−cos(t+π 4)

e−t, t≥0.

Clearly,

g0(t)≤0, fort≥0;

g0(t) = 0, fort= 2kπ−π

4, k= 1,2, . . . .

Hence,g(t) satisfies (A2), whileg(t) does not satisfy (1.2), (1.3) or (1.4). That is, g0(t) is not controlled byg(t).

Functions g(t) as above have not been studied in the literature. However, we can treat the problem (1.1) with these general relaxation functions, and according to Theorem 3.2 here, we know the energyE(t) of problem (1.1) decays at least at the rate (t+ 1)−1.

(2) The decay rates given in Theorem 3.2 are optimal in a sense according to [13, Example 3.1, Remark 3.2] and [8, Remark 3.3(ii)].

When the derivative g0(s) is controlled by the relaxation functiong(t), we can prove the following results.

Theorem 3.4. Let (A1) and(A2)hold, and

g0(t)≤ −ξ(t)gp(t), t≥0, (3.10) whereξ(t) :R+→R+ is a non-increasing differentiable function with ξ(0)>0and 1≤p <2 is a constant. Then there are constantsC, η >0 such that fort≥0,

E(t)≤

CE(0)e−ηR0tξ(s)ds, p= 1, CE(0)

1 1+Rt

0ξ(s)ds

p−11

1< p <2. (3.11)

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Proof. A key idea in the proof is to construct a Lyapunov function satisfyingR(t)∼ E(t) and

d

dtR(t)≤ −2ξ(t)Rp(t).

To find this function, we will use the results of Theorem 3.2 andJ(t) defined above.

Clearly,

Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|ds2 dx

≤G(0) Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|2ds dx.

Thus, by (3.5) and (3.3), fort≥t0, we have d

dtJ(t)≤ −1E(t) +C2

Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|2ds dx, (3.12) where1>0 is a constant.

On the other hand, by Theorem 3.2, we know that Z +∞

0

E(t)dt≤CE(0), and E(t)≤CE(0)(t+ 1)−1. Since

Z

Z t 0

g(t−s)|∇u(t)− ∇u(s)|2ds dx

≤Z t 0

Z

|∇u(t)− ∇u(s)|2dxds1−1pZ

Z t 0

gp(t−s)|∇u(t)− ∇u(s)|2ds dx1/p

≤CZ t 0

(E(t) +E(s))ds1−p1Z

Z t 0

gp(t−s)|∇u(t)− ∇u(s)|2ds dx1/p

≤CE1−1p(0)Z

Z t 0

gp(t−s)|∇u(t)− ∇u(s)|2ds dx1/p , by (3.12) it follows that fort≥t0,

d

dtJ(t)≤ −1E(t)+C3E1−1p(0)Z

Z t 0

gp(t−s)|∇u(t)−∇u(s)|2ds dx1/p

. (3.13) Multiplying (3.13) byξ(t)Ep−1(t), fort≥t0, we obtain

ξ(t)Ep−1(t)d dtJ(t)

≤ −1ξ(t)Ep(t)

+C3E1−p1(0)ξ(t)Ep−1(t)Z

Z t 0

gp(t−s)|∇u(t)− ∇u(s)|2ds dx1/p

≤ −1

2ξ(t)Ep(t) +C4ξ(t) Z

Z t 0

gp(t−s)|∇u(t)− ∇u(s)|2ds dx.

(3.14)

Sinceξ(t), E(t) are non-increasing functions, from (3.10) it follows that fort≥0, d

dt ξ(t)Ep−1(t)J(t)

=ξ(t)Ep−1(t)d

dtJ(t) +J(t)d

dt ξ(t)Ep−1(t)

≤ξ(t)Ep−1(t)d dtJ(t),

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and

ξ(t) Z

Z t 0

gp(t−s)|∇u(t)− ∇u(s)|2ds dx

≤ Z

Z t 0

ξ(t−s)gp(t−s)|∇u(t)− ∇u(s)|2ds dx

≤ − Z

Z t 0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx

≤ −2d dtE(t).

Hence, by (3.14), fort≥t0, we have d

dt ξ(t)Ep−1(t)J(t) + 2C4E(t)

≤ −1

2ξ(t)Ep(t). (3.15) Now, we define

R(t) :=ξ(t)Ep−1(t)J(t) + 2C4E(t).

Then,R(t)∼E(t). By (3.15), fort≥t0, we obtain d

dtR(t)≤ −2ξ(t)Rp(t),

where2>0 is a constant. This completes the proof.

Remark 3.5. (1) Theorem 3.4 extends the results in [13, 14, 16], whereg0(t) was assumed to satisfy (3.10) withp∈[1,3/2), since Theorem 3.4 holds for allp∈[1,2).

Moreover, the decay rates obtained in [13] are E(t)≤Ke−λ

Rt t0ξ(s)ds

, p= 1,

E(t)≤K 1

1 +Rt

t0ξ2p−1(s)ds 2p−21

, 1< p < 3 2. In addition, if

Z +∞

0

1

2p−1(t) + 1

dt <+∞, 1< p < 3

2, (3.16)

reference [13] shows the improved estimate

E(t)≤K 1

1 +Rt

t0ξp(s)ds p−11

, 1< p < 3 2.

Sinceξ(t) is nonnegative and non-increasing, it is clear thatξp(s).ξ(s), and then

1

1 +Rt 0ξ(s)ds

p−11

. 1 1 +Rt

t0ξp(s)ds p−11

.

Therefore, the decay rates given in Theorem 3.4 is stronger than the previous conclusion in the [13, Theorem 3.1] for all p ∈ [1,2). On the other hand, we obtain the stronger estimate without the other restrictions on ξ(t) (as (3.16) in [13, Theorem 3.1]). As can be seen, Theorem 3.4 here give stronger conclusions essentially under weaker conditions ong(t).

(2) The decay rates given in Theorem 3.4 are optimal in according to [13, Ex- ample 3.1, Remark 3.2] and [8, Remark 3.3(ii)].

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Theorem 3.6. Let the assumptions of Theorem 3.2 hold, and

g0(t)≤ −H(g(t)), t≥0, (3.17) whereH ∈C1(R+)is a positive function with H(0) = 0, and it is also a linear or strictly increasing and strictly convexC2 function on (0, r], for somer <1. Then there are constantsk1, k2, k3, ε0>0 such that

E(t)≤k3G−1(k1t+k2), t≥0, (3.18) where

G(t) = Z 1

t

1 sH00s)ds.

Proof. By Theorem 3.2, we obtain Z +∞

0

E(t)dt≤CE(0) and E(t)≤CE(0)(t+ 1)−1. So,

Z

Z t 0

|∇u(t)− ∇u(s)|2ds dx≤CE(0)<+∞. (3.19) According to (3.17) and (3.19), we can and do taket1> t0 large enough such that for anyt≥t1,

Z

Z t t1

|∇u(t)− ∇u(s)|2ds dx <min{r, H(r)}, (3.20)

− Z

Z t−t1

0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx <min{r, H(r)}, (3.21) Z

Z t−t1

0

g(t−s)|∇u(t)− ∇u(s)|2ds dx <min{r, H(r)}, (3.22) max{g(t),−g0(t)}<min{r, H(r)}. (3.23) Using (3.17), (3.20)-(3.23) and Jensen’s inequality, fort≥t1, we obtain

− Z

Z t−t1

0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx

≥ Z

Z t−t1

0

H(g(t−s))|∇u(t)− ∇u(s)|2ds dx

≥HZ

Z t−t1

0

g(t−s)|∇u(t)− ∇u(s)|2ds dx .

(3.24)

Then fort≥t1, Z

Z t−t1 0

g(t−s)|∇u(t)− ∇u(s)|2ds dx

≤H−1

− Z

Z t−t1

0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx .

(3.25)

Moreover, by [14, P. 1860, equation (3.24)], fort≥t1, we obtain d

dtW1(t)≤ −3E(t) +C5

Z

Z t−t1

0

g(t−s)|∇u(t)− ∇u(s)|2ds dx, (3.26) whereW1(t)∼E(t) and3>0 is a constant.

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By (3.25) and (3.26), fort≥t1, we have d

dtW1(t)

≤ −3E(t) +C5H−1

− Z

Z t−t1 0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx .

(3.27)

Now, we define

W2(t) :=H0 ε0E(t)

E(0)

W1(t) +M E(t), where 0< ε0< r, M >0 are constants, which will be specific later.

Clearly,W2(t)∼E(t) because of the assumption onH. Therefore, fort≥t1, d

dtW2(t)

=H0 ε0

E(t) E(0)

d

dtW1(t) +ε0

E0(t) E(0)H00

ε0

E(t) E(0)

W1(t) +M E0(t)

≤C5H0 ε0

E(t) E(0)

H−1

− Z

Z t−t1

0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx

3E(t)H0 ε0E(t)

E(0)

+M E0(t),

(3.28)

where we have usedE0(t)≤0,H00≥0, and (3.27).

Next, we estimate the first term on the right of (3.28). Let H? be the convex conjugate ofH in the sense of Young (see [2, P. 61-64] and [14, P. 1863]). Then

H?(s) =s(H0)−1(s)−H[(H0)−1(s)], s∈(0, H0(r)), (3.29) and it satisfies

ab≤H?(a) +H(b), fora∈(0, H0(r)], b∈(0, r]. (3.30) Setting

a=H0 ε0E(t)

E(0)

, b=H−1

− Z

Z t−t1

0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx , and using (3.29), (3.30) and (3.21), we obtain

H0 ε0E(t)

E(0)

H−1

− Z

Z t−t1

0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx

≤H? H0

ε0E(t) E(0)

− Z

Z t−t1

0

g0(t−s)|∇u(t)− ∇u(s)|2ds dx

≤ε0

E(t) E(0)H0

ε0

E(t) E(0)

−2E0(t).

(3.31)

From (3.28) and (3.31), it follows that fort≥t1, d

dtW2(t)≤ −(3E(0)−C5ε0)E(t) E(0)H0

ε0E(t) E(0)

+ (M−2C5)E0(t). (3.32) Therefore, if we take M >0 large enough and ε0 > 0 small sufficiently, then we obtain, fort≥t1,

d

dtW2(t)≤ −4HeE(t) E(0)

, (3.33)

(14)

where4>0 is a constant andHe(t) =tH00t). We define W(t) :=γW2(t)

E(0) , whereγ >0 small enough such that

W(t)< E(t) E(0).

Clearly, W(t)∼E(t)∼W2(t), andHe(t),He0(t)≥0. So, by (3.33), we know that there exists5>0 such that for t≥t1

d

dtW(t)≤ −5He(W(t)). (3.34) This gives the estimate (3.18). Thus the proof is complete.

Remark 3.7. In [14, Theorem 3.1], if the relaxation functiong(t) satisfies (3.17), then the decay rate is

E(t)≤k3H1−1(k1t+k2), t≥0.

Detailed information aboutH1can be found in [14, Theorem 3.1]. In addition, if Z 1

0

H1(t)dt <+∞, (3.35)

then the improved estimate (3.18) iss obtained.

As showed in Theorem 3.6, the improved estimate (3.18) is directly obtained without the extra assumption condition (3.35) (except (3.17)). Therefore, Theorem 3.6 improves [14, Theorem 3.1] essentially, with weaker conditions on the relaxation function. Moreover, Theorem 3.6 gives stronger conclusions.

Acknowledgments. The work was supported by the NSF of China (11771091, 11971306, 11831011), by the China Postdoctoral Science Foundation (2018M632094), and by the Shanghai Key Laboratory for Contemporary Applied Mathematics (08DZ2271900).

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Kun-Peng Jin

School of Science, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Email address:[email protected]

Jin Liang (corresponding author)

School of Mathematical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China

Email address:[email protected]

Ti-Jun Xiao

Shanghai Key Laboratory for Contemporary Applied Mathematics, School of Mathe- matical Sciences, Fudan University, Shanghai 200433, China

Email address:[email protected]

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