Abstract
We introduce tensor generalized bilateral inverses (TGBIs) under the Einstein tensor product as an extension of generalized bilateral inverses (GBIs) in the matrix environment. Moreover, the TBGI class includes so far considered composite generalized inverses (CGIs) for matrices and tensors. Applications of TBGIs for solving multilinear systems are presented. The characterizations and representations of the TGBI were studied and verified using a specific algebraic approach. Further, a few characterizations of known CGIs (such as the CMP, DMP, MPD, MPCEP, and CEPMP) are derived. The main properties of the TGBIs were exploited and verified through numerical examples.
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The authors are grateful to referees for the useful comments which improved the paper and for understanding during the revision.
Funding
Ratikanta Behera is supported by the Science and Engineering Research Board (SERB), Department of Science and Technology, India (Grant No. EEQ/2022/001065). Jajati Keshari Sahoo is supported by the Science and Engineering Research Board (SERB), Department of Science and Technology, India (Grant No. SUR/2022/004357). Predrag Stanimirović is supported by the Science Fund of the Republic of Serbia (Grant No. 7750185, Quantitative Automata Models: Fundamental Problems and Applications-QUAM). This research is supported by the Ministry of Science and Higher Education of the Russian Federation (Grant No. 075-15-2022-1121).
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Behera, R., Sahoo, J.K., Stanimirović, P.S. et al. Computing Tensor Generalized Bilateral Inverses. Commun. Appl. Math. Comput. (2024). https://doi.org/10.1007/s42967-024-00373-2
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DOI: https://doi.org/10.1007/s42967-024-00373-2