Sylvester's Criterion for Infinite-dimensional Matrices

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SUMMARY

Sylvester's Criterion applies to infinite-dimensional matrices under specific interpretations of quadratic forms. The discussion clarifies that when considering vectors with finitely many non-zero coordinates, the criterion holds true, meaning positive definiteness correlates with all finite principal minors being positive. However, when dealing with bounded operators in the space \ell^2, positive semi-definiteness is the best conclusion from positive finite principal minors, as counterexamples exist where the quadratic form evaluates to zero for non-zero vectors. Thus, the applicability of Sylvester's Criterion in infinite dimensions is nuanced and context-dependent.

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ilp89
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Does Sylvester's Criterion hold for infinite-dimensional matrices? Thanks!
 
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ilp89 said:
Does Sylvester's Criterion hold for infinite-dimensional matrices? Thanks!



I can't see how unless one defines rationally the determinant of infinite matrices...

DonAntonio
 
Well, Sylvester's criterion only requires us to find determinants of the principal minors, which are all finite square matrices. There are just an infinite number of them.
 
ilp89 said:
Well, Sylvester's criterion only requires us to find determinants of the principal minors, which are all finite square matrices. There are just an infinite number of them.



If I remember correctly S.C. requires to find out ALL the principal minors' determinants, up to and including the whole determinant's...

DonAntonio
 
Yes, but isn't that just the natural way to word the condition in the finite-dimensional case? Does the proof actually use the fact that the entire matrix's determinant is positive or that the determinant is finite-dimensional?
 
I guess if all principal minors are positive, then the infinite matrix is the limit of positive definite matrices and is thus positive semi-definite.
 
ilp89 said:
I guess if all principal minors are positive, then the infinite matrix is the limit of positive definite matrices and is thus positive semi-definite.



The limit...in what sense? I think you may need some topology to have any chance of defining limit in some meaningful way.

DonAntonio
 
I guess I haven't really told you about the specific problem I'm working on. My infinite matrix is mapping a Banach space into itself, so the matrix operator itself lives in a Banach space, which has a topology.
 
But I think we've strayed from the initial question... Does anyone know if there's something similar to Sylvester's criterion for a countably infinite square matrix?
 
  • #10
The short answer is "it depends"

There are 2 main interpretations of the quadratic forms with infinite matrices:

The first one is that while we have infinite matrix, we only consider vectors with finitely many non-zero coordinates. The quadratic form is defined for all such vectors. In this case "positive definite" means that (A x, x)>0 for all non-zero vectors x with finitely many non-zero coordinates.

In this case the Silvester's criterion works, i.e. the form is positive definite if and only if all finite principle minors are positive.

The other interpretation of the quadratic form (A x, x) with infinite matrix A is to assume that A is a matrix of a bounded operator in \ell^2 (the space of sequences x=\{x_k\}_{k=1}^n such that \sum_{k=1}^\infty|x_k|^2<\infty).

In this case if all finite principal minors are positive, we can only conclude that the matrix A is positive-semidefinite, i.e. that (Ax,x)\ge0 for all x\in\ell^2 (and "positive definite" means that (Ax, x)>0 for all non-zero x\in\ell^2). And it is not hard to construct an example where all finite principal minors are positive, but (Ax, x)=0 for some non-zero x\in\ell^2.

There can be more complicated interpretations of the quadratic forms with infinite matrices, but I am not going to discuss these right now.
 
  • #11
Thanks a lot.
 

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