Interval of convergence of a linear operator

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Homework Help Overview

The discussion revolves around the conditions under which the function of a hermitian operator, expressed as f(H) = Σ (H)^n, is defined, particularly focusing on the expression (1-H)^-1. Participants explore the convergence criteria for this expression in relation to the diagonal elements of the hermitian operator.

Discussion Character

  • Conceptual clarification, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants examine the convergence of the series Σ(-hi)^n, where hi represents the diagonal elements of the hermitian operator H. The original poster attempts to apply the ratio test to determine convergence based on the condition |hi| < 1. Others question the validity of referring to diagonal elements in the context of linear operators, suggesting that diagonal elements are only defined with respect to a specific basis, particularly the eigenbasis.

Discussion Status

The discussion is active, with participants providing insights into the relationship between the operator's eigenvalues and the convergence of the series. Some participants express uncertainty about the implications of using different bases for the operator's matrix representation. There is a suggestion that the function (1-H)^-1 is meaningful if the condition |hi| < 1 holds for the eigenvalues, but no consensus has been reached.

Contextual Notes

Participants note that the trace of a matrix is invariant across bases, but individual diagonal elements may vary. The discussion highlights the importance of specifying the basis when discussing properties of linear operators and their representations.

shinobi20
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Homework Statement


A function of a hermitian operator H can be written as f(H)=Σ (H)n with n=0 to n=∞.
When is (1-H)-1 defined?

Homework Equations


(1-x)-1 = Σ(-x)n= 1-x+x2-x3+...

The Attempt at a Solution


(1-H)-1 converges if each element of H converges in this series, that is (1-hi)-1 converges with hi being the diagonal elements of the hermitian operator H.
So Σ(-hi)n should converge. By the ratio test, (-hi)n+1/(-hi)n = |hi|. So it converges if |hi|<1. Is this correct?
 
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shinobi20 said:
with hi being the diagonal elements of the hermitian operator H.
A linear operator doesn't have diagonal elements. The matrix of a linear operator with respect to a specified basis has diagonal elements.

If the basis is the eigenbasis of the operator then I think the statement will be correct. One can see that by expressing the vector to which it is applied as a linear sum of eigenvectors and looking at the effect of the operator on those.

Whether it is true for matrices of the operator in other bases, I don't know. The trace of a matrix is invariant between bases but AFAIK individual diagonal elements are not.
 
andrewkirk said:
A linear operator doesn't have diagonal elements. The matrix of a linear operator with respect to a specified basis has diagonal elements.

If the basis is the eigenbasis of the operator then I think the statement will be correct. One can see that by expressing the vector to which it is applied as a linear sum of eigenvectors and looking at the effect of the operator on those.

Whether it is true for matrices of the operator in other bases, I don't know. The trace of a matrix is invariant between bases but AFAIK individual diagonal elements are not.
Sorry for the lazy mistake, "diagonal elements of the matrix corresponding to the hermitian operator". Also, the basis that I'm considering is the eigenbasis of the hermitian operator. So is it correct to say that the function (1-H)-1 is defined/meaningful if each element hi of H converges for the given series, that is, in this case (1-hi)-1=Σ (-hi)n converges if |hi|<1?
 
Yes I think so.
Let ##B## be the set of all eigenvectors ##e## of ##H##. They form a basis for the vector space so for any vector ##v## we can write ##v=\sum_{e\in B}v_ee##.

Then $$(1-H)^{-1}v=(1-H)^{-1}\sum_{e\in B} v_ee=
\sum_{k=0}^\infty (-H)^k\sum_{e\in B} v_ee=
\sum_{e\in B} v_e\sum_{k=0}^\infty (-H)^ke
=\sum_{e\in B} v_e\sum_{k=0}^\infty (-\lambda_e)^ke
=\sum_{e\in B} v_ee\sum_{k=0}^\infty (-\lambda_e)^k$$
where ##\lambda_e## is the eigenvalue of ##H## corresponding to eigenvector ##e##.

This converges if the inner sums ##\sum_{k=0}^\infty (-\lambda_e)^k## converge, which will happen where ##|\lambda_e|<1##.
 
Last edited:

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