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Dive into the research topics where Ben-yu Guo is active.

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Featured researches published by Ben-yu Guo.


Numerische Mathematik | 2000

Laguerre-Galerkin method for nonlinear partial differential equations on a semi-infinite interval

Ben-yu Guo; Jie Shen

Summary. A Laguerre-Galerkin method is proposed and analyzed for the Burgers equation and Benjamin-Bona-Mahony (BBM) equation on a semi-infinite interval. By reformulating these equations with suitable functional transforms, it is shown that the Laguerre-Galerkin approximations are convergent on a semi-infinite interval with spectral accuracy. An efficient and accurate algorithm based on the Laguerre-Galerkin approximations to the transformed equations is developed and implemented. Numerical results indicating the high accuracy and effectiveness of this algorithm are presented.


Journal of Approximation Theory | 2004

Jacobi approximations in non-uniformly Jacobi-weighted Sobolev spaces

Ben-yu Guo; Li-Lian Wang

Jacobi approximations in non-uniformly Jacobi-weighted Sobolev spaces are investigated. Some results on orthogonal projections and interpolations are established. Explicit expressions describing the dependence of approximation results on the parameters of Jacobi polynomials are given. These results serve as an important tool in the analysis of numerous quadratures and numerical methods for differential and integral equations.


Journal of Scientific Computing | 2006

Optimal Spectral-Galerkin Methods Using Generalized Jacobi Polynomials

Ben-yu Guo; Jie Shen; Li-Lian Wang

We extend the definition of the classical Jacobi polynomials withindexes α, β>−1 to allow α and/or β to be negative integers. We show that the generalized Jacobi polynomials, with indexes corresponding to the number of boundary conditions in a given partial differential equation, are the natural basis functions for the spectral approximation of this partial differential equation. Moreover, the use of generalized Jacobi polynomials leads to much simplified analysis, more precise error estimates and well conditioned algorithms.


Journal of Scientific Computing | 2000

A Rational Approximation and Its Applications to Differential Equations on the Half Line

Ben-yu Guo; Jie Shen; Zhong-Qing Wang

An orthogonal system of rational functions is introduced. Some results on rational approximations based on various orthogonal projections and interpolations are established. These results form the mathematical foundation of the related spectral method and pseudospectral method for solving differential equations on the half line. The error estimates of the rational spectral method and rational pseudospectral method for two model problems are established. The numerical results agree well with the theoretical estimates and demonstrate the effectiveness of this approach.


Advances in Computational Mathematics | 2003

Spectral and Pseudospectral Approximations Using Hermite Functions: Application to the Dirac Equation

Ben-yu Guo; Jie Shen; Cheng-long Xu

We consider in this paper spectral and pseudospectral approximations using Hermite functions for PDEs on the whole line. We first develop some basic approximation results associated with the projections and interpolations in the spaces spanned by Hermite functions. These results play important roles in the analysis of the related spectral and pseudospectral methods. We then consider, as an example of applications, spectral and pseudospectral approximations of the Dirac equation using Hermite functions. In particular, these schemes preserve the essential conservation property of the Dirac equation. We also present some numerical results which illustrate the effectiveness of these methods.


Advances in Computational Mathematics | 2009

Legendre–Gauss collocation methods for ordinary differential equations

Ben-yu Guo; Zhong-qing Wang

In this paper, we propose two efficient numerical integration processes for initial value problems of ordinary differential equations. The first algorithm is the Legendre–Gauss collocation method, which is easy to be implemented and possesses the spectral accuracy. The second algorithm is a mixture of the collocation method coupled with domain decomposition, which can be regarded as a specific implicit Legendre–Gauss Runge–Kutta method, with the global convergence and the spectral accuracy. Numerical results demonstrate the spectral accuracy of these approaches and coincide well with theoretical analysis.


Mathematics of Computation | 2009

Composite generalized Laguerre-Legendre spectral method with domain decomposition and its application to Fokker-Planck equation in an infinite channel

Ben-yu Guo; Tian-jun Wang

In this paper, we propose a composite generalized LaguerreLegendre spectral method for partial differential equations on two-dimensional unbounded domains, which are not of standard types. Some approximation results are established, which are the mixed generalized Laguerre-Legendre approximations coupled with domain decomposition. These results play an important role in the related spectral methods. As an important application, the composite spectral scheme with domain decomposition is provided for the Fokker-Planck equation in an infinite channel. The convergence of the proposed scheme is proved. An efficient algorithm is described. Numerical results show the spectral accuracy in the space of this approach and coincide well with theoretical analysis. The approximation results and techniques developed in this paper are applicable to many other problems on unbounded domains. In particular, some quasi-orthogonal approximations are very appropriate for solving PDEs, which behave like parabolic equations in some directions, and behave like hyperbolic equations in other directions. They are also useful for various spectral methods with domain decompositions, and numerical simulations of exterior problems.


Journal of Scientific Computing | 2012

Legendre-Gauss-Radau Collocation Method for Solving Initial Value Problems of First Order Ordinary Differential Equations

Zhong-Qing Wang; Ben-yu Guo

In this paper, we propose an efficient numerical integration process for initial value problems of first order ordinary differential equations, based on Legendre-Gauss-Radau interpolation, which is easy to be implemented and possesses the spectral accuracy. We also develop a multi-step version of this approach, which can be regarded as a specific implicit Legendre-Gauss-Radau Runge-Kutta method, with the global convergence and the spectral accuracy. Numerical results coincide well with the theoretical analysis and demonstrate the effectiveness of these approaches.


Journal of Scientific Computing | 2010

Generalized Jacobi Rational Spectral Method and Its Applications

Ben-yu Guo; Yong-Gang Yi

We introduce an orthogonal system on the whole line, induced by the generalized Jacobi functions. Some results on the generalized Jacobi rational approximation are established, which play important roles in the related spectral methods. As examples of applications, the rational spectral schemes are proposed for sine-Gordon, Klein-Gordon and Fisher equations, with the convergence analysis. Numerical results demonstrate their efficiency.


SIAM Journal on Numerical Analysis | 2001

Fourier Spectral Approximation to a Dissipative System Modeling the Flow of Liquid Crystals

Qiang Du; Ben-yu Guo; Jie Shen

We study a Fourier-spectral method for a dissipative system modeling the flow of liquid crystals. We first prove its convergence in a suitable sense and establish the existence of a global weak solution of the original problem and its uniqueness in the two dimensional case. Then we derive error estimates which exhibit the spectral accuracy of the Fourier-spectral method. We also construct a fully discrete scheme and carry out a complete stability and error analysis for it. Finally, we present some illustrative numerical results.

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Li-Lian Wang

Nanyang Technological University

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Zhong-Qing Wang

Shanghai Normal University

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Chao Zhang

Jiangsu Normal University

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Zhong-qing Wang

Shanghai Normal University

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Xu-hong Yu

University of Shanghai for Science and Technology

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Tian-jun Wang

Henan University of Science and Technology

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Yuan-Ming Wang

East China Normal University

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Rong Zhang

Shanghai Normal University

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