JOURNAL ARTICLE

Quadratic tensor eigenvalue complementarity problems

Ruixue ZhaoJinyan Fan

Year: 2022 Journal:   Journal of Industrial and Management Optimization Vol: 19 (4)Pages: 2986-3002   Publisher: American Institute of Mathematical Sciences

Abstract

In this paper, we study the quadratic tensor eigenvalue complementarity problem (QTEiCP). By a randomization process, the quadratic complementarity(QC) eigenvalues are classified into two cases. For each case, the QTEiCP is formulated as an equivalent generalized moment problem. The QC eigenvectors can be computed in order. Each of them can be solved by a sequence of semidefinite relaxations. We prove that such a sequence converges in finitely many steps for generic tensors.

Keywords:
Eigenvalues and eigenvectors Complementarity (molecular biology) Mathematics Complementarity theory Quadratic equation Applied mathematics Tensor (intrinsic definition) Sequence (biology) Mathematical optimization Mathematical analysis Pure mathematics Physics Geometry

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Topics

Tensor decomposition and applications
Physical Sciences →  Mathematics →  Computational Mathematics
Sparse and Compressive Sensing Techniques
Physical Sciences →  Engineering →  Computational Mechanics
Matrix Theory and Algorithms
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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