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Comparative study on order-reduced methods for linear third-order ordinary differential equations |
Zhiru REN() |
State Key Laboratory of Scientific/Engineering Computing, Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, P. O. Box 2719, Beijing 100190, China |
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Abstract The linear third-order ordinary differential equation (ODE) can be transformed into a system of two second-order ODEs by introducing a variable replacement, which is different from the common order-reduced approach. We choose the functions p(x) and q(x) in the variable replacement to get different cases of the special order-reduced system for the linear third-order ODE. We analyze the numerical behavior and algebraic properties of the systems of linear equations resulting from the sinc discretizations of these special second-order ODE systems. Then the block-diagonal preconditioner is used to accelerate the convergence of the Krylov subspace iteration methods for solving the discretized system of linear equation. Numerical results show that these order-reduced methods are effective for solving the linear third-order ODEs.
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Keywords
third-order ordinary differential equation
order-reduced method
sinc discretization
preconditioner
Krylov subspace method
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Corresponding Author(s):
REN Zhiru,Email:renzr@lsec.cc.ac.cn
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Issue Date: 01 December 2012
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