An Efficient Memory Gradient Method for Extreme M-Eigenvalues of Elastic type Tensors

Fuente: arXiv
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Autori principali: Du, Zhuolin, Song, Yisheng
Natura: Preprint
Pubblicazione: 2026
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author Du, Zhuolin
Song, Yisheng
author_facet Du, Zhuolin
Song, Yisheng
contents M-eigenvalues of fourth order hierarchically symmetric tensors play a significant role in nonlinear elastic material analysis and quantum entanglement problems. This paper focuses on computing extreme M-eigenvalues for such tensors. To achieve this, we first reformulate the M-eigenvalue problem as a sequence of unconstrained optimization problems by introducing a shift parameter. Subsequently, we develop a memory gradient method specifically designed to approximate these extreme M-eigenvalues. Under this framework, we establish the global convergence of the proposed method. Finally, comprehensive numerical experiments demonstrate the efficacy and stability of our approach.
format Preprint
id arxiv_https___arxiv_org_abs_2602_01152
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle An Efficient Memory Gradient Method for Extreme M-Eigenvalues of Elastic type Tensors
Du, Zhuolin
Song, Yisheng
Optimization and Control
M-eigenvalues of fourth order hierarchically symmetric tensors play a significant role in nonlinear elastic material analysis and quantum entanglement problems. This paper focuses on computing extreme M-eigenvalues for such tensors. To achieve this, we first reformulate the M-eigenvalue problem as a sequence of unconstrained optimization problems by introducing a shift parameter. Subsequently, we develop a memory gradient method specifically designed to approximate these extreme M-eigenvalues. Under this framework, we establish the global convergence of the proposed method. Finally, comprehensive numerical experiments demonstrate the efficacy and stability of our approach.
title An Efficient Memory Gradient Method for Extreme M-Eigenvalues of Elastic type Tensors
topic Optimization and Control
url https://arxiv.org/abs/2602.01152