On best conditioned matrices

1. Main theorems. Let A be a positive definite Hermitian matrix of finite order, and let A and X be its maximal and minimal eigenvalue respectively. The condition number of A is the ratio P(A) =A/X introduced by Todd [1]. Let 'G be a class of regular linear transformations. Define ATT*A T. We say that A is best conditioned with respect to 'G if P(A T) > P(A) for all TEE T. In order to investigate whether A is best conditioned we remember that

[1]  J. Todd,et al.  The condition of a certain matrix , 1950, Mathematical Proceedings of the Cambridge Philosophical Society.

[2]  D. Young Iterative methods for solving partial difference equations of elliptic type , 1954 .