How to Use Cholesky Factorization for Positive Definite Matrices

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Cholesky factorization is applicable to both positive definite and positive semidefinite matrices, making it a versatile tool in linear algebra. The discussion highlights the challenge of deriving a single perfect square from a given matrix, particularly in part b of the homework. It emphasizes that using Cholesky decomposition simplifies the process of testing for positive definiteness compared to traditional determinant methods. The participants express uncertainty about specific parts of the homework, indicating a need for clearer guidance on the application of Cholesky factorization. Overall, the thread underscores the importance of understanding Cholesky's method in the context of matrix properties.
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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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