Communications on Applied Mathematics and Computation ›› 2025, Vol. 7 ›› Issue (6): 2269-2288.doi: 10.1007/s42967-024-00373-2

• ORIGINAL PAPERS • Previous Articles     Next Articles

Computing Tensor Generalized Bilateral Inverses

Ratikanta Behera1, Jajati Keshari Sahoo2, Predrag S. Stanimirović3,4, Alena Stupina4, Artem Stupin4   

  1. 1. Department of Computational and Data Sciences, Indian Institute of Science, Bangalore, India;
    2. Department of Mathematics, Birla Institute of Technology and Science Pilani, K. K. Birla Goa Campus, Goa, India;
    3. Faculty of Sciences and Mathematics, University of Niš, Niš, Serbia;
    4. Laboratory “Hybrid Methods of Modelling and Optimization in Complex Systems”, Siberian Federal University, Prosp. Svobodny 79, 660041, Krasnoyarsk, Russian Federation
  • Received:2023-08-31 Revised:2024-01-14 Published:2025-12-24
  • Contact: Predrag S. Stanimirović, E-mail:pecko@pmf.ni.ac.rs E-mail:pecko@pmf.ni.ac.rs
  • Supported by:
    This research is supported by the Ministry of Science and Higher Education of the Russian Federation (Grant No. 075-15-2022-1121).

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.

Key words: Generalized bilateral inverses (GBIs), Einstein product, Outer inverse, Poisson equations

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