In this paper, numerical solutions of the Generalized Benjamin-Bona-MahonyBurgers (GBBMB) equation are obtained by collocation of quintic B-splines-based
method. Applying the Von-Neumann stability analysis, the proposed method is shown to
be unconditionally stable. The numerical result shows that the present method is a
successful numerical technique for solving the GBBMB equation.
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QUINTIC B-SPLINE COLLOCATION METHOD FOR NUMERICAL
SOLUTION OF THE GENERALIZED BENJAMIN-BONA-MAHONY-
BURGERS EQUATION
Nguyen Van Tuan1(1), Nguyen Duc Thuyet
2
1Hanoi Metropolitan University
2Vinh Phuc Vocational College
Abstract: In this paper, numerical solutions of the Generalized Benjamin-Bona-Mahony-
Burgers (GBBMB) equation are obtained by collocation of quintic B-splines-based
method. Applying the Von-Neumann stability analysis, the proposed method is shown to
be unconditionally stable. The numerical result shows that the present method is a
successful numerical technique for solving the GBBMB equation.
Keywords: GBBMB equation; quintic B-spline; collocation method; finite difference.
1. INTRODUCTION
In this paper we consider the solution of the GBBMB equation:
(1)
with the initial condition:
(2)
and the boundary condition:
(3)
where are constants, is an integer.
GBBMB equations play a dominant role in many branches of science and engineering.
In the past several years, many different methods have been used to solution of the
GBBMB equation and some their cases, see [1, 3, 5].
The paper is used quintic B-spline collocation method for equation (1).
(1) Nhận bài ngày 15.7.2016; gửi phản biện và duyệt đăng ngày 15.9.2016
Liên hệ tác giả: Nguyễn Văn Tuấn; Email: nvtuan@daihocthudo.edu.vn
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2. QUINTIC B – SPLINE COLLOCATION METHOD
The interval is partitioned in to a mesh of uniform length by the
knots such that:
Our numerical study for GBBMB equation using the collocation method with quintic
B-spline is to find an approximate solution to exact solution in the form:
(4)
are the quintic B-spline basis functions at knots, given by [4].
The value of and its derivatives may be tabulated as in Table 1.
Table 1. and at the node points
x
0 1 26 66 26 1 0
0
0
0
0
0
Using the finite difference method, from the equation (1), we have:
(5)
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The nolinear term in Eq. (5) can be approximated by using the following
formulas which obtainted by applying the Taylor expansion
So Eq. (5) can be rewritten as
(6)
Using the value given in Table 1, Eq. (6) can be calculated at the knots so
that at Eq. (6) reduces to
(7)
Where:
At Eq. (7)
becames
(8)
Where:
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The system (8) consists of equations in the knowns
To get a solution to this system, we need four additional constraints. These constraints
are obtained from the boundary conditions (3) and can be used to eliminate from the
system (8). Then, we get the matrix system equation:
(9)
where the matrix are penta-diagonal matrices and is
the dimensional colum vector. The algorithm is then used to solve the system (8).
We apply first the intial condition:
(10)
then we need that the approximately solution is satisfied folowing conditions:
(11)
Eliminating and from the system (11), we get:
where is the penta-diagonal matrix given by:
and
54 60 6 0 0 0 ... 0
101 135 105
1 0 0 ... 0
4 2 4
1 26 66 26 1 0 ... 0
... ... ...
A
... ... ...
0 ... 0 1 26 66 26 1
105 135 101
0 ... 0 0 1
4 2 4
0 ... 0 0 0 6 60 54
=
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3. STABILITY ANALYSIS
To apply the Von-Neumann stability for the system (7), we must first linearize this
system.
We have:
(12)
where is the mode number and is the element size.
Being applicable to only linear schemes the nonlinear term is linearized by
taking as a locallyconstant value The linearized form of proposed scheme is given as
(13)
Where:
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Substitretion of into Eq. (13) leads to:
(14)
Simplifying Eq. (14), we get
Where:
It is clear that
Therefore, the linearized numerical scheme for the GBBMB equation is
unconditionally stable.
4. NUMERICAL EXAMPLE
We now obtain the numerical solution of the GBBMB equation for a problem. To
show the efficiency of the present method for our problem in comparison with the exact
solution, we report and using formula
where is numerical solution and denotes exact solution.
Example. Consider the GBBMB equation with . The exact of Eq. (1)
is given in [7]
where and represent the amplitude and veloeity of a single solitary
wave initially centered at
We choose the following parameters
.
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Fig.1. The Physical Behaviour of Numerical Solutions of Example at Different Time Levels
0 ≤ t ≤ 5
Table 2. Erros at different time levels
Errors t =1 t =2 t =3 t =4 t =5
0.0054252098 0.0109452151 0.0165516810 0.0223096252 0.0337610187
0.008207923949 0.01642287375 0.02463674556 0.0328621363 0.06382919069
5. CONCLUSIONS
A numerical method based on collocation of quintic B-spline had been described in
the previous section for solving GBBMB equation. A finite difference scheme had been
used for discretizing time derivatives and quintic B-spline for interpolating the solution at
is capable time level. From the test problem, the obtained resulft show that the present
method is capable for solving GBBMB equation.
REFERENCES
1. G. Arora, R. C. Mittal, B. K. Singh (2014), "Numerical solution of BBM-Burger equation with
quartic B-spline collocation method", J. of Engineering Sci. and Technology, special Issue on
ICMTEA 2013 conference, pp.104-116.
2. D. J. Evans and K. R. Raslan (2005), "Solitar waves for the generalized equal width (GEW)
equation", International J. Computer Mathematics, Vol. 82, No. 4, April., pp.445-455.
3. C. Hai – tao, P. Xin – tian, Z. Lu – ming and W. Yi – ju (2012), "Numerical analysis of a
linear – implicit average scheme for generalized Benjamin-Bona-Mahony-Burgers equation",
J. of Applied Mathematics, Vol. 2012, Artich ID 308410.
4. P. M. Prenter (2008), "Spline and variational methods", Dover Publications, New York.
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5. K. Shin – ichi and M. Ming and O. Seiro (2000), Convergence to diffusion waves of the
solutions for Benjamin-Bona-Mahony-Burgers equations, Applicable Analysis, Vol. 75 (3 –
40), pp.317-340.
6. Siraj-Ul-Islam, Fazal-I-Had and Ikram A. Tirmizi (2010),"Collocation method using quartic
B-spline for numerical solution of the modified equal width wave equation", J. Appl. Math.
Informatics, Vol. 28, No.3-4, pp.611-624.
7. G. Turabi, B. G. K. Seydi (2011), "Septic B – spline collocation Method for the numerical
solution of the modified equal width wave equation", Applied Mathematics, 2, pp.739-749.
8. M. Zarebnia and R. Parvaz (2017), Numerical study of the Benjamin-Bona-Mahony-Burgers
equation, Bol. Soc. Paran. Mat. Vol. 35 1, pp.127-138.
PHƯƠNG PHÁP COLLOCATION VỚI CƠ SỞ B-SPLINE BẬC 5
GIẢI PHƯƠNG TRÌNH GENERALIZED BENJAMIN-BONA-
MAHONY-BURGERS
Tóm tắt: Trong bài báo này chúng ta sử dụng phương pháp collocation với cơ sở B –
spline bậc 5 giải xấp xỉ phương trình generalized Benjamin – Bona – mahony – Burgers.
Sử dụng phương pháp Von – Neumann hệ phương trình sai phân ổn định vô điều kiện.
Kết quả số chứng tỏ phương pháp đưa ra hữu hiệu để giải phương trình trên.
Từ khoá: Phương trình GBBMB, spline bậc 5, phương pháp collocation, phương pháp sai
phân hữu hạn.