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Block LU factorization is stable for block matrices whose inverses are block diagonally dominant

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Abstract

Let A ∈ Mn (C) and let the inverse matrix B = A1 be block diagonally dominant by rows (columns) w.r.t. an m × m block partitioning and a matrix norm. We show that A possesses a block LU factorization w.r.t. the same block partitioning, and the growth factor for A in this factorization is bounded above by 1 + σ, where σ = max 1≤i≤m σi and σi, 0 ≤ σi1, are the row (column) block dominance factors of B. Further, the off-diagonal blocks of A (and of its block Schur complements) satisfy the inequalities

$$\parallel A_{ji} A_{ii}^{ - 1} \parallel \;\; \leqslant \sigma _j ,\;\;\;\;j \ne i.$$

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REFERENCES

  1. A. George and Kh. D. Ikramov, “Gaussian elimination is stable for the inverse of a diagonally dominant matrix,” Math. Comp. (to appear).

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Translated from Zapiski Nauchnykh Seminarov POMI, Vol. 296, 2003, pp. 15–26.

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George, A., Ikramov, K.D. Block LU factorization is stable for block matrices whose inverses are block diagonally dominant. J Math Sci 127, 1962–1968 (2005). https://doi.org/10.1007/s10958-005-0154-7

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  • DOI: https://doi.org/10.1007/s10958-005-0154-7

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