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REMARKS ON BRUALDI'S THEOREM FOR SPECTRUM INCLUSION REGION OF AN IRREDUCIBLE MATRIX 被引量:1
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作者 陈神灿 《Acta Mathematica Scientia》 SCIE CSCD 2005年第1期112-118,共7页
This paper obtains a necessary and sufficient condition for an irreducible complex matrix whose comparison matrix is a singular M-matrix to be singular. This is used to establish a necessary and sufficient condition f... This paper obtains a necessary and sufficient condition for an irreducible complex matrix whose comparison matrix is a singular M-matrix to be singular. This is used to establish a necessary and sufficient condition for a boundary point of Brualdi’s inclusion region of the eigenvalues of an irreducible complex matrix to be an eigenvalue. 展开更多
关键词 M-matrix irreducible circuit α-diagonal dominant matrix spectrum inclusion region
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BLOCK H-MATRICES AND SPECTRUM OF BLOCK MATRICES
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作者 HUANG Ting-zhu(黄廷祝) +1 位作者 LI Wen(黎稳) 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2002年第2期236-240,共5页
The block H-matrices are studied by the concept of G-functions, several concepts of block matrices are introduced. Equivalent characters of block H-matrices are obtained. Spectrum localizations characterized by G-func... The block H-matrices are studied by the concept of G-functions, several concepts of block matrices are introduced. Equivalent characters of block H-matrices are obtained. Spectrum localizations characterized by G-functions for block matrices are got. 展开更多
关键词 block H-matrix SPECTRUM G-FUNCTION EIGENVALUE irreducible matrix
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Point pattern Matching Using Irreducible Matrixand Relative Invariant 被引量:1
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作者 张立华 徐文立 《Tsinghua Science and Technology》 SCIE EI CAS 1999年第4期1602-1605,共4页
Point pattern matchingisanimportantproblem inthefieldsofcomputervision and patternrecognition.In this paper,new algorithms based onirreducible matrix andrelativeinvariantfor matchingtwosets ofpoints withthe same ca... Point pattern matchingisanimportantproblem inthefieldsofcomputervision and patternrecognition.In this paper,new algorithms based onirreducible matrix andrelativeinvariantfor matchingtwosets ofpoints withthe same cardinality are proposed.Theirfundamentalideaistransformingthetwo dimensionalpointsets with n points intothe vectorsin n dimensional space. Considering these vectors as one dimensional point patterns,these new algorithms aim atreducingthe point matching problem to thatofsorting vectorsin n dimensionalspace aslong asthe sensornoise does notalterthe order ofthe elementsinthe vectors.Theoreticalanalysis and simulationresults show thatthe new algorithms are effective . 展开更多
关键词 point pattern matching irreducible matrix affine transformation similarity transformation relative invariant
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Theoretical Studies of Active Power/angle Sub-matrix in Power Flow Jacobian for Power System Analysis
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作者 曹国云 张卿 +1 位作者 钟德成 陈陈 《Journal of Shanghai Jiaotong university(Science)》 EI 2008年第5期562-567,共6页
Properties of the active power/angle sub-matrix in the power flow Jacobian for power system analysis are studied. The sub-matrix is a dominant and irreducible matrix under very general conditions of power systems, so ... Properties of the active power/angle sub-matrix in the power flow Jacobian for power system analysis are studied. The sub-matrix is a dominant and irreducible matrix under very general conditions of power systems, so that it is invertible. Also the necessary conditions for its singularity are given. These theoretical results can be used to clarify the ambiguous understanding of the sub-matrix in current literature, and also provide the theoretical foundations for the applications based on reduced power flow Jaeobian. Numerical simulation on the IEEE 118-bus power system is used to illustrate our results. 展开更多
关键词 dominant matrix irreducible matrix power flow Jacobian reduced power flow aacobian power system analysis V-Q sensitivity
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Sequences of Lower Bounds for the Perron Root of a Nonnegative Irreducible Matrix
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作者 钟琴 黄廷祝 《Journal of Mathematical Research and Exposition》 CSCD 2009年第4期730-736,共7页
Estimate bounds for the Perron root of a nonnegative matrix are important in theory of nonnegative matrices.It is more practical when the bounds are expressed as an easily calcu-lated function in elements of matrices.... Estimate bounds for the Perron root of a nonnegative matrix are important in theory of nonnegative matrices.It is more practical when the bounds are expressed as an easily calcu-lated function in elements of matrices.For the Perron root of nonnegative irreducible matrices,three sequences of lower bounds are presented by means of constructing shifted matrices,whose convergence is studied.The comparisons of the sequences with known ones are supplemented with a numerical example. 展开更多
关键词 nonnegative irreducible matrix shifted matrix Perron root lower bound.
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Discussion About the Paper "The Eigen-Problem of Matrix in Max-Algebra-Analysis for Operating Period of A Class of DEDS"
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作者 WAN Liangqiao(Dept.of Management Engin.,Tianjin Institute of Technology,Tianjin 300191,China) 《Systems Science and Systems Engineering》 CSCD 1996年第1期87-89,共3页
In this paper,we discuss the contents of paper[l] with the authors,point out that the conclustions in paper[1] about the periodicity of any N ×N square matrix are inappropriate,and make some notes on the problem ... In this paper,we discuss the contents of paper[l] with the authors,point out that the conclustions in paper[1] about the periodicity of any N ×N square matrix are inappropriate,and make some notes on the problem about the periodicit of matrix in the sense of the max-algebra. 展开更多
关键词 MAX-ALGEBRA discrete-event dynamic system EIGENVALUE critical circuit irreducible matrix
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Counting extreme U1 matrices and characterizing quadratic doubly stochastic operators
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作者 Quanbing ZHANG Shangjun YANG 《Frontiers of Mathematics in China》 SCIE CSCD 2016年第3期647-659,共13页
The U1 matrix and extreme U1 matrix were successfully used to study quadratic doubly stochastic operators by R. Ganikhodzhaev and F. Shahidi [Linear Algebra Appl., 2010, 432: 24-35], where a necessary condition for a... The U1 matrix and extreme U1 matrix were successfully used to study quadratic doubly stochastic operators by R. Ganikhodzhaev and F. Shahidi [Linear Algebra Appl., 2010, 432: 24-35], where a necessary condition for a U1 matrix to be extreme was given. S. Yang and C. Xu [Linear Algebra Appl., 2013, 438: 3905-3912] gave a necessary and sufficient condition for a symmetric nonnegative matrix to be an extreme U1 matrix and investigated the structure of extreme U1 matrices. In this paper, we count the number of the permutation equivalence classes of the n × n extreme U1 matrices and characterize the structure of the quadratic stochastic operators and the quadratic doubly stochastic operators. 展开更多
关键词 Extreme U1 matrix quadratic doubly stochastic operator majorized permutation similar irreducible matrix
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A Dynamic Input- Output Model Solution
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作者 GENG Xian\|min Xinjiang Petroleum Institute, Urumqi 830000, China 《Systems Science and Systems Engineering》 CSCD 1999年第3期290-298,共9页
In this paper we research the homogeneous input output model of forward delay that lag is one production cycle. It is conformed that the necessary and sufficient conditions of economic balanced development are that t... In this paper we research the homogeneous input output model of forward delay that lag is one production cycle. It is conformed that the necessary and sufficient conditions of economic balanced development are that the output vector GENG Xian\|min Xinjiang Petroleum Institute, Urumqi 830000, ChinaAbstract:\ In this paper we research the homogeneous input output model of forward delay that lag is one production cycle. It is conformed that the necessary and sufficient conditions of economic balanced development are that the output vector X(t) is the right positive characteristic vector of (I-A) -1 (A+B), and the input vector is AX(t). We also constitute the workable economic subset S-,when the output vector of the first production cycle is X(1), the economy will surely collapse. 展开更多
关键词 input output consumption coefficient matrix investment coefficient matrix irreducible nonnegative matrix maximum characteristic value
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