Interval of convergence of a linear operator

In summary: So the function is defined where ##|\lambda_e|<1## for all ##e\in B##.In summary, the function (1-H)-1 is defined when each element of the hermitian operator H converges in the series (1-hi)-1, which is equivalent to the absolute value of each eigenvalue being less than 1. This is true when considering the eigenbasis of the operator.
  • #1
shinobi20
271
20

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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  • #2
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.
 
  • #3
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?
 
  • #4
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##.
 
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FAQ: Interval of convergence of a linear operator

What is the interval of convergence of a linear operator?

The interval of convergence of a linear operator is the set of values for which the series of linear transformations converges. It represents the range of values for which the linear operator can be applied and produce a meaningful result.

How is the interval of convergence determined?

The interval of convergence is determined by analyzing the properties of the linear operator, such as its eigenvalues and eigenvectors. The convergence of the series also depends on the initial conditions and the input values of the operator.

Why is the interval of convergence important?

The interval of convergence is important because it determines the validity and applicability of the linear operator. It also helps in understanding the behavior of the operator and its effects on different input values.

Can the interval of convergence be infinite?

Yes, the interval of convergence can be infinite in both directions. This means that the linear operator can be applied to a wide range of values, from negative infinity to positive infinity. However, it is also possible for the interval of convergence to be a finite range of values.

Can the interval of convergence change?

Yes, the interval of convergence can change depending on the properties and inputs of the linear operator. It may also change if the operator is combined with other operators or if there are changes in the initial conditions. It is important to reevaluate the interval of convergence when any changes are made to the operator.

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