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A Matrix-array Form for the Multidimensional Discrete Poisson Equation and its Solvability Criterion
WANG Tong 1 *,GE Yaojun 2,CAO Shuyang 2
1.State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University
2.State Key Laboratory for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092
*Correspondence author
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Funding: the National Natural Science Foundation of China (No.No. 50978202), the NSFC-JST Cooperative Research Project (No.No. 51021140005)
Opened online: 2 September 2011
Accepted by: none
Citation: WANG Tong,GE Yaojun,CAO Shuyang.A Matrix-array Form for the Multidimensional Discrete Poisson Equation and its Solvability Criterion[OL]. [ 2 September 2011] http://en.paper.edu.cn/en_releasepaper/content/4441076
 
 
The multidimensional discrete Poisson equation (MDPE) frequently encountered in science and engineering can be expressed, in many cases, as a brief matrix-array equation firstly defined in this paper. This new-style equation consists of a series of small matrices and can be transformed using the Kronecker sum into a familiar system of linear algebraic equations, AX=b. Then it is proved that the eigenvalues and corresponding eigenvectors of A can be obtained directly from those of these small matrices consisting in that matrix-array equation. Based on this connection, a solvability criterion for the matrix-array equation is proposed. Finally, an application of this criterion is carried out, and an inspiration from the above connection are presented and analyzed.
Keywords:Matrix-array equation; Multidimensional discrete Poisson equation; Solvability criterion; Kronecker sum; Eigenvalue; Eigenvector
 
 
 

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