Re: Proving that [inv(A)](k,k) >= 1/[A(k,k)]
- From: Ronald Bruck <bruck@xxxxxxxxxxxx>
- Date: Tue, 07 Feb 2006 21:05:40 -0800
In article <20060207.121141@xxxxxxxx>, Rob Johnson <rob@xxxxxxxxxxxxxx>
wrote:
In article <24632048.1139318862526.JavaMail.jakarta@xxxxxxxxxxxxxxxxxxxxxx>,
vukad <vukad@xxxxxxxxx> wrote:
Does anyone have an idea how to prove that the following inequality
holds for the coefficients of any positive definite matrix A:
[inv(A)](k,k) >= 1/[A(k,k)]
This is the same as asking if
-1
(u,Au) (u,A u) >= 1 [1]
for any unit vector u. For the question you ask, let u be the k^th
coordinate vector.
Suppose that { v_k } are eigenvectors of A with eigenvalues { w_k }.
Since A is positive definite, w_k > 0. Suppose that
---
u = > a v [2]
--- k k
Then
---
(u,Au) = > a a (v ,v ) w [3]
--- j k j k k
-1 ---
(u,A u) = > a a (v ,v ) 1/w [4]
--- j k j k k
Since u is a unit vector, we have
---
> a a (v ,v )
--- j k j k
= (u,u)
= 1 [5]
and since 1/x is convex for x > 0, we can apply Jensen's inequality
to [3] and use [4] to get
-1
1/(u,Au) <= (u,A u) [6]
Inequality [6] is a restatement of [1] as long as u can be written as
a linear combination of eigenvectors of A. All vectors in R^n can be
written as linear combinations of eigenvectors if and only if A is
diagonalizable. I tried to remove the need for diagonalizability, but
then I realized that the matrix
+- -+
| 1 1 |
A = | -1 1 |
+- -+
whose inverse is
+- -+
-1 | 1/2 -1/2 |
A = | 1/2 1/2 |
+- -+
is positive definite, but not diagonalizable, and fails to satisfy the
conclusion above. So the condition of diagonalizability can not be
removed completely.
I suspect he means SYMMETRIC positive-definite.
--Ron Bruck
.
- References:
- Proving that [inv(A)](k,k) >= 1/[A(k,k)]
- From: vukad
- Re: Proving that [inv(A)](k,k) >= 1/[A(k,k)]
- From: Rob Johnson
- Proving that [inv(A)](k,k) >= 1/[A(k,k)]
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