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Boundary Value Problems

Volume 2010, Article ID 781750,16pages doi:10.1155/2010/781750

Research Article

A Linear Difference Scheme for Dissipative

Symmetric Regularized Long Wave Equations with Damping Term

Jinsong Hu,

1

Youcai Xu,

2

and Bing Hu

2

1School of Mathematics and Computer Engineering, Xihua University, Chengdu 610039, China

2School of Mathematics, Sichuan University, Chengdu 610064, China

Correspondence should be addressed to Youcai Xu,[email protected] Received 24 August 2010; Accepted 14 November 2010

Academic Editor: V. Shakhmurov

Copyrightq2010 Jinsong Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

We study the initial-boundary problem of dissipative symmetric regularized long wave equations with damping term by finite difference method. A linear three-level implicit finite difference scheme is designed. Existence and uniqueness of numerical solutions are derived. It is proved that the finite difference scheme is of second-order convergence and unconditionally stable by the discrete energy method. Numerical simulations verify that the method is accurate and efficient.

1. Introduction

A symmetric version of regularized long wave equationSRLWE, utρxuux−uxxt0,

ρtux0, 1.1

has been proposed to model the propagation of weakly nonlinear ion acoustic and space charge waves1 . The sec2solitary wave solutions are

ux, t 3 v2−1

v sec21 2

v2−1

v2 x−vt, ρx, t 3

v2−1 v2 sec21

2

v2−1

v2 x−vt.

1.2

(2)

The four invariants and some numerical results have been obtained in 1 , where vis the velocity,v2>1. Obviously, eliminatingρfrom1.1, we get a class of SRLWE:

utt−uxx1 2

u2

xt−uxxtt0. 1.3

Equation1.3is explicitly symmetric in thex andt derivatives and is very similar to the regularized long wave equation that describes shallow water waves and plasma drift waves 2, 3 . The SRLW equation also arises in many other areas of mathematical physics 4–6 . Numerical investigation indicates that interactions of solitary waves are inelastic7 ; thus, the solitary wave of the SRLWE is not a solution. Research on the wellposedness for its solution and numerical methods has aroused more and more interest. In8 , Guo studied the existence, uniqueness, and regularity of the numerical solutions for the periodic initial value problem of generalized SRLW by the spectral method. In9 , Zheng et al. presented a Fourier pseudospectral method with a restraint operator for the SRLWEs and proved its stability and obtained the optimum error estimates. There are other methods such as pseudospectral method, finite difference method for the initial-boundary value problem of SRLWEssee9–

15 . In applications, the viscous damping effect is inevitable, and it plays the same important role as the dispersive effect. Therefore, it is more significant to study the dissipative symmetric regularized long wave equations with the damping term

utρx−υuxxuux−uxxt0, 1.4

ρtuxγρ0, 1.5

whereυ, γare positive constants,υ >0 is the dissipative coefficient, andγ >0 is the damping coefficient. Equations 1.4-1.5are a reasonable model to render essential phenomena of nonlinear ion acoustic wave motion when dissipation is considered. Existence, uniqueness, and wellposedness of global solutions to 1.4-1.5 are presented see 16–20 . But it is difficult to find the analytical solution to 1.4-1.5, which makes numerical solution important.

To authors’ knowledge, the finite difference method to dissipative SRLWEs with damping term1.4-1.5has not been studied till now. In this paper, we propose linear three level implicit finite difference scheme for1.4-1.5with

ux,0 u0x, ρx,0 ρ0x, x∈xL, xR , 1.6

and the boundary conditions

uxL, t uxR, t 0, ρxL, t ρxR, t 0, t∈0, T . 1.7 We show that this difference scheme is uniquely solvable, convergent, and stable in both theoretical and numerical senses.

Lemma 1.1. Suppose thatu0∈H1,ρ0∈L2, the solution of1.4–1.7satisfiesuL2 ≤C,uxL2 ≤ C,ρL2≤C, anduL∞ ≤C, whereCis a generic positive constant that varies in the context.

(3)

Proof. Let

Et u2L2ux2L2ρ2

L2 xR

xL

u2dx xR

xL

ux2dx xR

xL

ρ2dx, t∈0, T . 1.8

Multiplying1.4byuand integrating overxL, xR , we have xR

xL

uutuρx−υuuxxu2ux−uuxxt

dx0. 1.9

According to

xR

xL

uutdx 1 2

d dt

xR

xL

u2dx, xR

xL

uρxdxuρ|xxRL− xR

xL

ρdu− xR

xL

uxρdx,

− xR

xL

uuxxdx−uux|xxRL xR

xL

uxdu xR

xL

ux2dx, xR

xL

u2uxdx 1

3u3|xxRL 0,

− xR

xL

uuxxtdx−uuxt|xxRL xR

xL

uxtdu 1 2

d dt

xR

xL

ux2dx,

1.10

we get

d dt

xR

xL

u2u2x dx−2

xR

xL

uxρdx2υ xR

xL

ux2dx0, 1.11

Then, multiplying1.5byρand integrating overxL, xR , we have xR

xL

ρρtρuxγρ2

dx0. 1.12

By

xR

xL

ρρtdx 1 2

d dt

xR

xL

ρ2dx, 1.13

we get

d dt

xR

xL

ρ2dx2 xR

xL

uxρdx2γ xR

xL

ρ2dx0. 1.14

(4)

Adding1.14to1.11, we obtain

d dt

xR

xL

u2u2xρ2

dx−2υ xR

xL

ux2dx−2γ xR

xL

ρ2dx≤0. 1.15

SoEtis decreasing with respect tot, which implies thatEt u2L2ux2L2ρ2L2≤E0, t ∈ 0, T . Then, it indicates that uL2 ≤ C,uxL2 ≤ C, andρL2 ≤ C. It is followed from Sobolev inequality thatuL∞ ≤C.

2. Finite Difference Scheme and Its Error Estimation

Lethandτbe the uniform step size in the spatial and temporal direction, respectively. Denote xj xLjhj 0,1,2, . . . , J,tn nτn 0,1,2, . . . , N,N T/τ ,unj ≈ uxj, tn,ρnj ≈ ρxj, tn, andZ0h{u uj|u0uJ 0, j0,1,2, . . . , J}. We define the difference operators as follows:

unj

x unj1−unj

h ,

unj

x unj −unj−1

h ,

unj

x unj1−unj−1

2h ,

unj

t un1j −un−1j

2τ ,

unj un1j un−1j

2 , un, vnh

J−1

j0

unjvjn, un2un, un, un∞ max

0≤j≤J−1

unj. 2.1

Then, the average three-implicit finite difference scheme for the solution of1.4–1.7is as follow:

unj

t− unj

xx t ρjn

x−υ unj

xx1 3

unj unj

x

unjunj

x

0, 2.2

ρjn

t

unj

xγρnj 0, 2.3

u0j u0

xj

, ρ0j ρ0

xj

, 0≤j≤J, 2.4

un0 unJ 0, ρn0 ρnJ 0, 1≤n≤N. 2.5

Lemma 2.1. Summation by parts follows [12,21] that for any two discrete functionsu, v∈Z0h uj

x, vj

−

uj, vj

x

,

vj, uj

xx

−

vj

x, uj

x

. 2.6

(5)

Lemma 2.2discrete Sobolev’s inequality 12,21 . There exist two constantsC1 andC2 such that

un∞≤C1unC2unx. 2.7 Lemma 2.3discrete Gronwall inequality12,21 . Suppose thatwk,ρkare nonnegative functions and ρkis nondecreasing. IfC >0 and

wk≤ρk Cτ k−1

l0

wl. 2.8

Thenwk≤ρkeCτk.

Theorem 2.4. Ifu0∈H1,ρ0∈L2, then the solution of 2.2–2.5satisfies

un ≤C, unx ≤C, ρn≤C, un∞≤C n1,2, . . . , N. 2.9 Proof. Taking an inner product of 2.2 with 2unj i.e., un1j un−1j and considering the boundary condition2.5andLemma 2.1, we obtain

1 2τ

un12−un−12

1 2τ

un1x 2−un−1x 2

ρnj

x,2unj

−υ unj

xx,2unj

P,2unj 0,

2.10

whereP 1/3unjunjx unjunjx . Since ρnj

x,2unj −

ρnj,2 unj

x

,

unj

xx,2unj

−2unx2,

P,2unj 2

3h J−1 j0

unj

unj

x

unjunj

x

unj

1 12

J−1

j0

unj

un1j1 un−1j1 −un1j−1 −un−1j−1 unj1

un1j1 un−1j1

−unj−1

un1j−1 un−1j−1

×

un1j un−1j 1

12

J−1

j0

unj unj1

un1j1 un−1j1

un1j un−1j

−1 12

J−1 j0

unj unj−1

un1j un−1j

un1j−1 un−1j−1 0,

2.11

(6)

we obtain 1 2τ

un12−un−12

1 2τ

un1x 2−un−1x 2

− ρjn,2

unj

x

2υunx20. 2.12

Taking an inner product of2.3with 2ρnj i.e., ρn1j ρn−1j , we obtain 1

2τ

ρn12−ρn−12

unj

x,2ρnj

2γρnj2 0. 2.13

Adding2.12to2.13, we have

un12−un−12un1x 2−un−1x 2ρn12−ρn−12 2τ

ρnj,2 unj

x

−

unj

x,2ρnj

−4υτunx2−4γτρnj2.

2.14

Since

ρnj,2 unj

x

ρnj, un1j

x

un−1j

x

≤ρn21 2

un1x 2un−1x 2

,

− unj

x,2ρnj −

unj

x, ρn1j ρjn−1

≤ unx21 2

ρn12ρn−12

.

2.15

Equation2.14can be changed to

un12−un−12un1x 2−un−1x 2ρn12−ρn−12

≤Cτ

un1x 2unx2un−1x 2ρn12ρn2ρn−12

.

2.16

LetAnun12un2un1x 2unx2ρn12ρn2, and2.16is changed to An−An−1≤Cτ

AnAn−1

. 2.17

Ifτis sufficiently small which satisfies 1−Cτ >0, then

An−An−1≤CτAn−1. 2.18

Summing up2.18from 1 ton, we have

An≤A0Cτ n−1

l0

Al. 2.19

(7)

FromLemma 2.3, we obtainAn ≤ C, which implies that,un ≤ C,unx ≤ C, andρn ≤ C.

ByLemma 2.2, we obtainun∞≤C.

Theorem 2.5. Assume thatu0∈H2,ρ0∈H1, the solution of difference scheme2.2–2.5satisfies:

ρnx≤C, unxx ≤C, unx∞≤C, ρn

∞≤C n1,2, . . . , N. 2.20 Proof. Differentiating backward2.2–2.5with respect tox, we obtain

unj

x t− unj

xxx t ρnj

x x−υ unj

xxx1 3

unj unj

x

unjunj

x

x 0, 2.21

ρnj

x t unj

xxγ ρnj

x0, 2.22

u0j

xu0,x

xj

,

ρ0j

xρ0,x

xj

, 0≤j≤J, 2.23

un0

x

unJ

x0,

ρn0

x

ρnJ

x0, 0≤n≤N. 2.24

Computing the inner product of2.21with 2unx i.e., un1x un−1x and considering2.24and Lemma 2.1, we obtain

1 2τ

un1x 2−un−1x 2

1 2τ

un1xx 2−un−1xx 2

ρnx x,2unx

−υ

unxxx,2unx

R,2unx 0,

2.25

whereR 1/3unjunjx unjunjx x. It follows fromTheorem 2.4that unj≤C

j 0,1,2, . . . , J

. 2.26

By the Schwarz inequality andLemma 2.1, we get R,2unx

2 3

unj

unj

x

unjunj

x

x, unx −2

3

unj unj

x

unjunj

x, unxx −2

3h J−1 j0

unj

unj

x

unjunj

x

unj

xx

≤ 2 3Ch

J−1

j0

unj

x

· unj

xx

≤Cunx2unxx2

≤C

un1x 2un−1x 2un1xx 2un−1xx 2

.

2.27

(8)

Noting that ρnx x,2unx

−

2unx x, ρxn

−

ρnx, un1x x un−1x x

≤ρxn21 2

un1xx 2un−1xx 2

, unxxx,2unx

−2unxx2,

2.28

it follows from2.25that

un1x 2−un−1x 2un1xx 2−un−1xx 2

≤ −4υτunxx2Cτ

un1x 2un−1x 2un1xx 2un−1xx 2ρnx2 .

2.29

Computing the inner product of2.22with 2ρnxi.e.,ρxn1ρn−1x and considering2.24and Lemma 2.1, we obtain

1 2τ

ρn1x 2−ρxn−12

unx x, ρnx

2γρnx20. 2.30 Since

unxx,2ρnx

unxx, ρn1x ρn−1x

≤ unxx21 2

ρxn12ρn−1x 2

, 2.31

then2.30is changed to

ρxn1−ρn−1x ≤ −4γτρnx2Cτ

unxx2ρxn12ρn−1x 2

. 2.32

Adding2.29to2.32, we have

un1x 2−un−1x 2un1xx 2−un−1xx 2ρn1x 2−ρxn−12

≤ −4υτunxx2−4γτρnx2 Cτ

un1x 2un−1x 2unxx2un1xx 2un−1xx 2ρn1x 2ρnx2ρxn−12

≤Cτ

un1x 2un−1x 2unxx2un1xx 2un−1xx 2ρn1x 2ρxn2ρn−1x 2

. 2.33 LetingBnun1x 2unx2un1xx 2unxx2ρxn12ρnx2, we obtainBn−Bn−1≤CτBn Bn−1. Choosing suitableτwhich is small enough to satisfy 1−Cτ >0, we get

Bn−Bn−1≤CτBn−1. 2.34

(9)

Summing up2.34from 1 ton, we have

Bn≤B0Cτ n−1

l0

Bl. 2.35

By Lemma 2.3, we get Bn ≤ C, which implies that ρnx ≤ C,unxx ≤ C. It follows from Theorem 2.4andLemma 2.2thatunx∞≤C,ρn∞≤C.

3. Solvability

Theorem 3.1. The solutionunof2.2–2.5is unique.

Proof. Using the mathematical induction, clearly, u0,ρ0 are uniquely determined by initial conditions2.4. then select appropriate second-order methodssuch as the C-N Schemes and calculate u1 and ρ1 i.e. u0, ρ0, and u1, ρ1 are uniquely determined. Assume that u0, u1, . . . , unandρ0, ρ1, . . . , ρnare the only solution, now considerun1andρn1in2.2and 2.3:

1

2τun1j − 1 2τ

un1j

xx−υ 2

un1j

xx1 6

unj un1j

x

unjun1j

x

0, 3.1

1

2τρn1j γ

2ρn1j 0. 3.2

Taking an inner product of3.1withun1, we have 1

2τ

un12 1 2τ

un1x 2υ 2

un1x 21 6h

J−1 j0

unj

un1j

x

unjun1j

x

un1j 0. 3.3

Since 1 6h

J−1 j0

unj

un1j

x

unjun1j

x

un1j

1 12

J−1 j0

unj

un1j1 −un1j−1

unj1un1j1 −unj−1un1j−1 un1j

1 12

J−1 j0

unjun1j un1j1 unj1un1j un1j1

− 1 12

J−1

j0

unj−1un1j−1un1j unjun1j−1un1j 0,

3.4

then it holds

1 2τ

un12

1

2τ υ 2

un1x 2 0. 3.5

(10)

Taking an inner product of3.2withρn1and adding to3.5, we have 1

2τ

un12

1

2τ υ 2

un1x 2

1

2τ γ 2

ρn120, 3.6

which implies that3.1-3.2have only zero solution. So the solutionun1j andρn1j of2.2–

2.5is unique.

4. Convergence and Stability

Let vx, t and ∅x, t be the solution of problem 1.4–1.7; that is, vjn uxj, tn, ∅nj ρxj, tn, then the truncation of the difference scheme2.2–2.5is

rjn vnj

t− vnj

xx t

∅nj

x−υ vnj

xx1 3

vnj vnj

x

vjnvnj

x

, 4.1

snj

∅nj

t

vnj

xγ∅nj. 4.2

Making use of Taylor expansion, it holds|rjn||snj|Oτ2h2ifh, τ → 0.

Theorem 4.1. Assume thatu0 ∈ H1,ρ0 ∈L2, then the solutionunandρnin the senses of norms · ∞and · L2, respectively, to the difference scheme2.2–2.5converges to the solution of problem 1.4–1.7and the order of convergence isOτ2h2.

Proof. Subtracting2.2from4.1subtracting2.3from4.2, and lettingenj vjn−unj,ηnj

∅nj −ρnj, we have

rjn enj

t− enj

xx t ηjn

x−υ enj

xxQ, 4.3

snj ηjn

t

ejn

xγηnj, 4.4

where

Q 1 3

vjn vnj

x−unj unj

x

1

3

vjnvnj

x− unjunj

x

. 4.5

Computing the inner product of4.3with 2en, we get

en12−en−12exn12−en−1x 2−4υτenx2 2τ

rjn,2enj

− ηnj

x,2enj

−

Q,2enj .

4.6

(11)

According to

− Q,2enj

−2 3h

J−1 j0

vnj

vnj

x−unj unj

x

enj −2

3h

J−1

j0

vnjvnj

x− unjunj

x

enj

−2 3h

J−1 j0

vnj

enj

xejn unj

x

enj 2

3h J−1

j0

vnjvnj −unjunj enj

x

−2 3h

J−1 j0

vnj

enj

xejn unj

x

enj 2

3h J−1

j0

enjvnj unjenj enj

x,

4.7

it follow fromLemma 1.1, Theorems2.4, and2.5that vnj≤C, vnj≤C,

unj

x

≤C, unj≤C

j0,1,2, . . . , J

. 4.8

By the Schwarz inequality, we obtain

− Q,2en

≤ 2 3Ch

J−1 j0

enj

x

enj

·enj 2 3Ch

J−1 j0

enjenj

· enj

x

≤Cenx2en2en2

≤C

en12en2en−12en1x 2en−1x 2

.

4.9

Since

rjn,2enj

rjn, en1j en−1j

≤ rn21 2

en12en−12

,

− ηnj

x,2enj

ηnj,2 enj

x

≤ηn21 2

exn12en−1x 2

,

4.10

it follows from4.9–4.10and4.6that en12−en−12en1x 2−en−1x 2

≤2τrnCτ

en12en2en−12en1x 2en−1x 2η2 .

4.11

(12)

Computing the inner product of4.4with 2ηn, we obtain ηn12−ηn−122τ

snj,2ηnj

−2τ enj

x,2ηnj

−2γτηn2

≤Cτ

ηn12ηn−12enx2

2τsn2.

4.12

Adding4.12to4.11, we have

en12−en−12en1x 2−exn−12ηn12 ηn−12

≤2τrn22τsn2Cτ

en12en2en−12en1x 2 en−1x 2enx2ηn12ηn2ηn−12

.

4.13

Leting

Dnen2en12enx2en1x 2ηn2ηn12, 4.14

we get

Dn−Dn−1≤2τrn22τsn2Cτ

Dn1Dn

. 4.15

Ifτis sufficiently small which satisfies 1−Cτ >0, then

Dn−Dn−1≤CτDn−1Cτrn2Cτsn2. 4.16 Summing up4.16from 1 ton, we have

Dn≤D0Cτ n

l1

rl2Cτ n

l1

sl2Cτ n−1

l0

Dl. 4.17

Select appropriate second-order methodssuch as the C-N Schemes, and calculateu1 and ρ1, which satisfies

D0O

τ2h22

. 4.18

参照

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