Need Help with positive definite matrices

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Homework Help Overview

The discussion revolves around the properties of positive definite matrices, specifically focusing on demonstrating that a positive definite matrix A can be expressed as A = C C^T, where C has orthogonal columns.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the relationship between positive definiteness and the structure of matrix C, with one participant attempting to derive the orthogonality of columns in C from the properties of A. Questions arise regarding the definitions of inner products and orthogonality.

Discussion Status

The discussion is active, with participants providing hints and clarifications. One participant has expressed confusion about inner products, while others have offered insights into the relationship between orthogonality and the properties of matrices.

Contextual Notes

There is a mention of the participant's current learning stage, indicating that they have not yet covered inner products in detail, which may affect their understanding of the problem.

Basil4000
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Homework Statement


If A is positive definite, show that ## A = C C^T ## where ## C ## has orthogonal columns.

The Attempt at a Solution



So, I've got the first part figured out. Because ## A ## is symmetric, an orthogonal matrix ## P ## exists such that ## P^TA P = D = diag(\lambda_1,...,\lambda_n) ## where ## \lambda_i > 0 ## because A is positive definite. Next I've defined ## B = diag(\sqrt{\lambda_1},...,\sqrt{\lambda_n}) ## Then I wrote ## C = P^TB P ## then ## C C^T = (P^T B P) (P^T B P)^T = (P^T B P) P^T B^T P = P^T B B P = P^T D P = A ##

So I'm at the last step and I'm stuck on how to show that C has orthogonal columns. Any hints?
 
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C has orthogonal columns if and only if CtC is a diagonal matrix (you should be able to check that this claim is true easily- the off diagonal entries of Ct C are the inner products of the columns of C).

Also PDPt = A, not PtDP.
 
Right, that's just sloppyness on my part typing that out. I haven't learned anything about inner products yet. Is there a way to look at this differently?
 
Inner product is the same as dot product. The typical definition of orthogonal vectors is that their dot product is zero, if you're working with a different definition you'll have to say what it is
 
I just read your first reply again. I get it now. I was pretty tired last night. Thanks a lot!
 

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