Open Access
Norm bounds for the inverse for generalized Nekrasov matrices in point-wise and block case
Author(s) -
Maja Nedović
Publication year - 2021
Publication title -
filomat
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 34
eISSN - 2406-0933
pISSN - 0354-5180
DOI - 10.2298/fil2108705n
Subject(s) - mathematics , inverse , combinatorics , norm (philosophy) , generalization , block (permutation group theory) , upper and lower bounds , uniform norm , mathematical analysis , geometry , political science , law
Lower-semi-Nekrasov matrices represent a generalization of Nekrasov matrices. For the inverse of lower-semi-Nekrasov matrices, a max-norm bound is proposed. Numerical examples are given to illustrate that new norm bound can give tighter results compared to already known bounds when applied to Nekrasov matrices. Also, we presented new max-norm bounds for the inverse of lower-semi-Nekrasov matrices in the block case. We considered two types of block generalizations and illustrated the results with numerical examples.