Symmetric positive definite matrix

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Homework Help Overview

The discussion revolves around properties of symmetric positive definite matrices, specifically addressing why the maximum absolute value of off-diagonal elements equals the maximum absolute value of diagonal elements.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants explore inequalities involving the elements of the matrix and question how to derive the equality between the maximum absolute values of off-diagonal and diagonal elements.

Discussion Status

Participants are actively engaging with the problem, offering insights and questioning assumptions. Some have suggested exploring specific inequalities and considering the implications of positive definiteness, while others express uncertainty about how to prove the equality in question.

Contextual Notes

There is an emphasis on the properties of positive definite matrices, particularly regarding the behavior of their diagonal and off-diagonal elements. The discussion includes considerations of absolute values and the implications of assumptions about the matrix's definiteness.

rendinat
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Homework Statement



In a symmetric positive definite matrix, why does max{|aij|}=max{|aii|}

Homework Equations



|aij|≤(aii+ajj)/2

The Attempt at a Solution



max{|aij|}≤max{(aii+ajj)/2

max{|aij|}≤max{aii/2}+max{ajj/2}

max{|aij|}≤[itex]\frac{1}{2}[/itex]max{aii}+[itex]\frac{1}{2}[/itex]max{ajj}

then I am stuck! :(
 
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Try applying ##a_{ii} \leq |a_{ii}| \leq \max |a_{ii}|## to the original inequality.
 
But how does that help with the equality I need?
 
rendinat said:

Homework Statement



In a symmetric positive definite matrix, why does max{|aij|}=max{|aii|}

Homework Equations



|aij|≤(aii+ajj)/2

The Attempt at a Solution



max{|aij|}≤max{(aii+ajj)/2

max{|aij|}≤max{aii/2}+max{ajj/2}

max{|aij|}≤[itex]\frac{1}{2}[/itex]max{aii}+[itex]\frac{1}{2}[/itex]max{ajj}

then I am stuck! :(

Assume that the word "symmetric" is always present in the following. Remember that a positive-definite matrix is, by definition, one that renders the quadratic form
[tex]Q(x) = x^T A x = \sum_i a_{ii} x_i^2 + 2 \sum_{i < j} a_{ij} x_i x_j[/tex]
positive for all vectors ##x## that are not the zero vector. You are being asked to show that for a positive-definite matrix, the largest element occurs on the diagonal (in terms of magnitudes, that is). So, assume the contrary: that the largest element is not on the diagonal. By re-labelling if necessary we can assume that ##|a_{12}|## is the largest element. Now look at vectors of the form ##\tilde{x} = (x_1, x_2, 0, 0, \ldots,0)^T##, which give
[tex]Q(\tilde{x}) = a_{11} x_1^2 + 2 a_{12} x_1 x_2 + a_{22}x_2^2.[/tex] Now try to show that if ##|a_{12}| > a_{11}## and ##|a_{12}| > a_{22}## then we can find ##(x_1,x_2) \neq (0,0)## that makes ##Q(\tilde{x}) < 0##.
 
By proving that it is not greater in that instance still doesn't prove they are equal, does it?
 
rendinat said:
By proving that it is not greater in that instance still doesn't prove they are equal, does it?

I have no idea what you are talking about. I am just trying to derive a contradiction by assuming an off-diagonal element is maximal.
 
I am trying to prove that max{|aij|} = max{|aii|}

Maybe I am going about it incorrectly and that is the problem. Where would you begin to try to prove these are equal?
 
rendinat said:
But how does that help with the equality I need?
I can't do the problem for you. What do you get when you plug in the fact that ##a_{ii} \leq \max |a_{ii}|## into ##|a_{ij}| \leq (a_{ii} + a_{jj}) / 2##?
 
|aij|≤(aii +ajj)/2≤(max{aii} +ajj)/2 Is this what you mean?

So I shouldn't do the steps I did to get to? max{|aij|}≤[itex]\frac{1}{2}[/itex]max{aii}+[itex]\frac{1}{2}[/itex]max{ajj}
 
  • #10
rendinat said:
So I shouldn't do the steps I did to get to? max{|aij|}≤[itex]\frac{1}{2}[/itex]max{aii}+[itex]\frac{1}{2}[/itex]max{ajj}
In fact, it should be ##\max |a_{ij}| \leq (\max |a_{ii}| + \max |a_{jj}|) / 2##.

What can you say about ##\max |a_{ii}|## and ##\max |a_{jj}|##?
 
  • #11
Aren't they equal and I get that max{|aij|}≤max{aii}
 
  • #12
rendinat said:
Aren't they equal and I get that max{|aij|}≤max{aii}
You dropped the absolute values on the right hand side. It should be ##\max |a_{ij}| \leq \max |a_{ii}|##. Can you see why this gives you the result you need?
 
  • #13
That has been my question, how can I show/prove that they are equal?
 
  • #14
If you can show the opposite inequality, that will suffice, right? In other words, is it true that
$$\max |a_{ii}| \leq \max |a_{ij}|$$
 
  • #15
jbunniii said:
You dropped the absolute values on the right hand side. It should be ##\max |a_{ij}| \leq \max |a_{ii}|##. Can you see why this gives you the result you need?

No need for absolute values on the right. If A is positive-definite we MUST have ##a_{ii} > 0## for all ##i##. If we weaken the assumption to positive-semidefinite, we still have ##a_{ii} \geq 0## for all ##i##.
 
  • #16
Ray Vickson said:
No need for absolute values on the right. If A is positive-definite we MUST have ##a_{ii} > 0## for all ##i##. If we weaken the assumption to positive-semidefinite, we still have ##a_{ii} \geq 0## for all ##i##.
True, good point. For this problem, it might be clearer to use the absolute values anyway, even if they are redundant for the diagonal elements.
 

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