How to Use Cholesky Factorization for Positive Definite Matrices

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SUMMARY

This discussion focuses on the application of Cholesky Factorization for positive definite matrices, specifically addressing homework problems involving matrices A1 and A2. The Cholesky algorithm is highlighted as an efficient method for testing positive definiteness and semidefiniteness, as it simplifies the process compared to using determinants. The discussion emphasizes the derivation of expressions from matrix A1 to demonstrate that f1 is a single perfect square, which is a key requirement in the homework tasks.

PREREQUISITES
  • Understanding of Cholesky Factorization
  • Familiarity with positive definite and positive semidefinite matrices
  • Basic knowledge of matrix algebra
  • Ability to derive expressions from matrices
NEXT STEPS
  • Study the Cholesky decomposition method in detail
  • Learn how to identify positive definite and semidefinite matrices
  • Explore applications of Cholesky Factorization in numerical methods
  • Practice deriving perfect square expressions from matrices
USEFUL FOR

Students studying linear algebra, mathematicians working with matrix theory, and anyone involved in numerical analysis or optimization techniques.

freshnitesh
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Homework Statement



0dVsrxc.png


2. The attempt at a solution

So part a. makes sense to me, it basically comes down to

A1 =
1 -1 -1
-1 1 1
-1 1 1

A2 =
1 -1 -1
-1 2 -2
-1 -2 11

I'm not sure how to approach part b. because the question doesn't make much sense to me. It's asking to show that f1 is a single perfect square, so my guess is that from A1 I have to derive an expression for f1 that is a single perfect square.

Haven't really looked to hard at part c, yet.
 
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freshnitesh said:

Homework Statement



0dVsrxc.png


2. The attempt at a solution

So part a. makes sense to me, it basically comes down to

A1 =
1 -1 -1
-1 1 1
-1 1 1

A2 =
1 -1 -1
-1 2 -2
-1 -2 11

I'm not sure how to approach part b. because the question doesn't make much sense to me. It's asking to show that f1 is a single perfect square, so my guess is that from A1 I have to derive an expression for f1 that is a single perfect square.

Haven't really looked to hard at part c, yet.

Use Chpolesky factorization, which works for any positive-semidefinite matrix. (Many discussions assume positive definiteness, but if you go through the material carefully you can show that it applies as well to the semidefinite case.) See, eg., http://en.wikipedia.org/wiki/Cholesky_decomposition .
In fact, using the Cholesky algorithm is by far the easiest way to test positive definitness or semidefinitness---much easier than dealing with determinants, for example.
 

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