INCOMPLETE SEMI-ITERATIVE METHODS FOR SOLVING SINGULAR LINEAR OPERATOR EQUATIONS IN BANACH SPACE WITH APPLICATIONS IN MARKOV CHAIN MODELING |
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Authors: | Wei Yimin Wu Hebing |
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Affiliation: | 1. Department of Mathematics, Fudan University, Shanghai 200433 2. Institute of Mathematics, Fudan University, Shanghai 200433 |
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Abstract: | We discuss the incomplete semi-iterative method (ISIM) for an approximate solution of a linear fixed point equations x= Tx+c with a bounded linear operator T acting on a complex Banach space X such that its resolvent has a pole of order k at the point 1. Sufficient conditions for the convergence of ISIM to a solution of x=Tx+c , where c belongs to the range space of (I-T)k, are established. We show that the ISIM has an attractive feature that it is usually convergent even when the spectral radius of the operator T is greater than 1 and Ind1T≥ 1. Applications in finite Markov chain is considered and illustrative examples are reported, showing the convergence rate of the ISIM is very high. |
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Keywords: | singular linear operator equation index Drazin inverse semi-iterative method incomplete semi-iterative method Markov chain. |
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