An algorithm for calculating spectral radius of s-index weakly positive tensors

In this paper, we introduced $ s $-index weakly positive tensors and discussed the calculation of the spectral radius of this kind of nonnegative tensors. Using the diagonal similarity transformation of tensor and Perron-Frobenius theory of nonnegative tensor, the calculation method of the maximum $...

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Main Authors: Panpan Liu, Hongbin Lv
Format: Article
Language:English
Published: AIMS Press 2024-01-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2024012?viewType=HTML
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author Panpan Liu
Hongbin Lv
author_facet Panpan Liu
Hongbin Lv
author_sort Panpan Liu
collection DOAJ
description In this paper, we introduced $ s $-index weakly positive tensors and discussed the calculation of the spectral radius of this kind of nonnegative tensors. Using the diagonal similarity transformation of tensor and Perron-Frobenius theory of nonnegative tensor, the calculation method of the maximum $ H $-eigenvalue of $ s $-index weakly positive tensors was given. A variable parameter was introduced in each iteration of the algorithm, which is equivalent to a translation transformation of the tensor in each iteration to improve the calculation speed. At the same time, it was proved that the algorithm is linearly convergent for the calculation of the spectral radius of $ s $-index weakly positive tensors. The final numerical example shows the effectiveness of the algorithm.
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spelling doaj.art-0f06a33435ba45eebc90146c99741ddf2023-12-12T01:31:47ZengAIMS PressAIMS Mathematics2473-69882024-01-019120521710.3934/math.2024012An algorithm for calculating spectral radius of s-index weakly positive tensorsPanpan Liu0Hongbin Lv1School of Mathematics and Statistics, Beihua University, Jilin 132013, ChinaSchool of Mathematics and Statistics, Beihua University, Jilin 132013, ChinaIn this paper, we introduced $ s $-index weakly positive tensors and discussed the calculation of the spectral radius of this kind of nonnegative tensors. Using the diagonal similarity transformation of tensor and Perron-Frobenius theory of nonnegative tensor, the calculation method of the maximum $ H $-eigenvalue of $ s $-index weakly positive tensors was given. A variable parameter was introduced in each iteration of the algorithm, which is equivalent to a translation transformation of the tensor in each iteration to improve the calculation speed. At the same time, it was proved that the algorithm is linearly convergent for the calculation of the spectral radius of $ s $-index weakly positive tensors. The final numerical example shows the effectiveness of the algorithm.https://www.aimspress.com/article/doi/10.3934/math.2024012?viewType=HTMLirreducible nonnegative tensor$ s $-index weakly positive tensor$ h $-eigenvaluenumerical algorithm
spellingShingle Panpan Liu
Hongbin Lv
An algorithm for calculating spectral radius of s-index weakly positive tensors
AIMS Mathematics
irreducible nonnegative tensor
$ s $-index weakly positive tensor
$ h $-eigenvalue
numerical algorithm
title An algorithm for calculating spectral radius of s-index weakly positive tensors
title_full An algorithm for calculating spectral radius of s-index weakly positive tensors
title_fullStr An algorithm for calculating spectral radius of s-index weakly positive tensors
title_full_unstemmed An algorithm for calculating spectral radius of s-index weakly positive tensors
title_short An algorithm for calculating spectral radius of s-index weakly positive tensors
title_sort algorithm for calculating spectral radius of s index weakly positive tensors
topic irreducible nonnegative tensor
$ s $-index weakly positive tensor
$ h $-eigenvalue
numerical algorithm
url https://www.aimspress.com/article/doi/10.3934/math.2024012?viewType=HTML
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AT hongbinlv analgorithmforcalculatingspectralradiusofsindexweaklypositivetensors
AT panpanliu algorithmforcalculatingspectralradiusofsindexweaklypositivetensors
AT hongbinlv algorithmforcalculatingspectralradiusofsindexweaklypositivetensors