bound on eigenvalues...
- From: "comtech" <comtech.usa@xxxxxxxxx>
- Date: 6 Dec 2005 00:08:52 -0800
Hi all,
Given a matrix
A =
0.1337 0.1115 0.1647
0.1115 0.1584 0.1362
0.1647 0.1362 0.2089
I know by numerical computation that its eigenvalues are:
ans =
0.0023
0.0513
0.4475
so any number > 0.4475 is the bound on the eigenvalues...
But how do I find bound analytically?
Can I prove that the eigenvalues are less than a number, say, 0.8, or
0.9, or x, where x<1 strictly analytically?
.
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