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Apr 13, 2016 at 7:51 history closed Christian Remling
Alex Degtyarev
Stefan Waldmann
Wolfgang
Mikhail Katz
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Apr 13, 2016 at 2:28 review Close votes
Apr 13, 2016 at 7:51
Apr 13, 2016 at 2:12 comment added Christian Remling Obviously, the entries are bounded by the operator norm (whether the matrix is positive definite or not), which is $\lambda_n^{-1}$ in your setting.
Apr 13, 2016 at 2:07 answer added Suvrit timeline score: 3
Apr 11, 2016 at 6:37 comment added Geoff Robinson The largest value of an entry of $A^{−1}$ is at most $\lambda_{n}^{-1}$ but equality need not occur. For example, it can happen that $\lambda_{n}$ is irrational and $A$ has rational entries.
Apr 11, 2016 at 5:14 comment added Pushpendre Assume $A \in \mathbb{R}^{n \times n}$. Since $A$ is symmetric PD therefore $A^{-1}$ exists. The highest eigen value of $A^{-1}$ equals $\lambda_n^{-1}$. This means $\max ||A^{-1}x||$ over all $x \in \mathbb{R}^n$ such that $||x|| = 1$ equals $\lambda^{-1}$ . Consider $x$ to be a basis vector with 1 in the i-th row. Let $a_i$ be the ith column of $A^{-1}$. Clearly $0 \le ||a_i|| \le \lambda_n^{-1}$. This implies that the maximum element of the i-th element of $a_i$ is less than $\lambda_n^{-1}$. But $i$ was chosen arbitrarily. In other words $||Ax||_\infty \leq ||Ax||_2 \leq || A||_2 ||x||_2$.
Apr 11, 2016 at 4:44 comment added Rohit Shukla @Pushpendre I mean the highest value in $A^{-1}$
Apr 11, 2016 at 4:43 history edited Rohit Shukla CC BY-SA 3.0
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Apr 11, 2016 at 4:43 comment added Pushpendre Do you mean the highest value in $A^{-1}$ on highest eigenvalue in $A^{-1}$? Also you should specify that the matrices are real or complex. They are probably real but its better to clarify.
Apr 11, 2016 at 4:26 history asked Rohit Shukla CC BY-SA 3.0