The Tensor Pade´-Type Approximant with Application in Computing Tensor Exponential Function

Tensor exponential function is an important function that is widely used. In this paper, tensor Pade´-type approximant (TPTA) is defined by introducing a generalized linear functional for the first time. The expression of TPTA is provided with the generating function form. Moreover, by means of form...

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Main Authors: Chuanqing Gu, Yong Liu
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2018/2835175
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author Chuanqing Gu
Yong Liu
author_facet Chuanqing Gu
Yong Liu
author_sort Chuanqing Gu
collection DOAJ
description Tensor exponential function is an important function that is widely used. In this paper, tensor Pade´-type approximant (TPTA) is defined by introducing a generalized linear functional for the first time. The expression of TPTA is provided with the generating function form. Moreover, by means of formal orthogonal polynomials, we propose an efficient algorithm for computing TPTA. As an application, the TPTA for computing the tensor exponential function is presented. Numerical examples are given to demonstrate the efficiency of the proposed algorithm.
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series Journal of Function Spaces
spelling doaj-art-e958eed0d0594e00a93d5fd3b71b39362025-08-20T02:22:15ZengWileyJournal of Function Spaces2314-88962314-88882018-01-01201810.1155/2018/28351752835175The Tensor Pade´-Type Approximant with Application in Computing Tensor Exponential FunctionChuanqing Gu0Yong Liu1Department of Mathematics, Shanghai University, Shanghai 200444, ChinaDepartment of Mathematics, Shanghai University, Shanghai 200444, ChinaTensor exponential function is an important function that is widely used. In this paper, tensor Pade´-type approximant (TPTA) is defined by introducing a generalized linear functional for the first time. The expression of TPTA is provided with the generating function form. Moreover, by means of formal orthogonal polynomials, we propose an efficient algorithm for computing TPTA. As an application, the TPTA for computing the tensor exponential function is presented. Numerical examples are given to demonstrate the efficiency of the proposed algorithm.http://dx.doi.org/10.1155/2018/2835175
spellingShingle Chuanqing Gu
Yong Liu
The Tensor Pade´-Type Approximant with Application in Computing Tensor Exponential Function
Journal of Function Spaces
title The Tensor Pade´-Type Approximant with Application in Computing Tensor Exponential Function
title_full The Tensor Pade´-Type Approximant with Application in Computing Tensor Exponential Function
title_fullStr The Tensor Pade´-Type Approximant with Application in Computing Tensor Exponential Function
title_full_unstemmed The Tensor Pade´-Type Approximant with Application in Computing Tensor Exponential Function
title_short The Tensor Pade´-Type Approximant with Application in Computing Tensor Exponential Function
title_sort tensor pade´ type approximant with application in computing tensor exponential function
url http://dx.doi.org/10.1155/2018/2835175
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