infinite dimensional positive matrix
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Suppose $A$ is a infinite dimensional positive complex matrix,what is the operator norm of $A$?
In the finite dimensional case,we can use the spectral theorm,$|A|=sup|lambda_i|$,where $lambda_i$ is the eigenvalue of $A$.If $A$ is infinite dimensional,can we have a similar conclusion?
functional-analysis operator-theory matrix-calculus operator-algebras c-star-algebras
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up vote
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Suppose $A$ is a infinite dimensional positive complex matrix,what is the operator norm of $A$?
In the finite dimensional case,we can use the spectral theorm,$|A|=sup|lambda_i|$,where $lambda_i$ is the eigenvalue of $A$.If $A$ is infinite dimensional,can we have a similar conclusion?
functional-analysis operator-theory matrix-calculus operator-algebras c-star-algebras
You need to supply a little more information such as a topology...
– copper.hat
Nov 17 at 5:09
The spectral norm $|A| = (sup lambda in sigma(A A^*))^{1/2} = sup_v frac{|A v|_{ell^2}}{|v|_{ell^2}}$
– reuns
Nov 17 at 5:16
add a comment |
up vote
1
down vote
favorite
up vote
1
down vote
favorite
Suppose $A$ is a infinite dimensional positive complex matrix,what is the operator norm of $A$?
In the finite dimensional case,we can use the spectral theorm,$|A|=sup|lambda_i|$,where $lambda_i$ is the eigenvalue of $A$.If $A$ is infinite dimensional,can we have a similar conclusion?
functional-analysis operator-theory matrix-calculus operator-algebras c-star-algebras
Suppose $A$ is a infinite dimensional positive complex matrix,what is the operator norm of $A$?
In the finite dimensional case,we can use the spectral theorm,$|A|=sup|lambda_i|$,where $lambda_i$ is the eigenvalue of $A$.If $A$ is infinite dimensional,can we have a similar conclusion?
functional-analysis operator-theory matrix-calculus operator-algebras c-star-algebras
functional-analysis operator-theory matrix-calculus operator-algebras c-star-algebras
edited Nov 17 at 7:15
asked Nov 17 at 4:53
mathrookie
723512
723512
You need to supply a little more information such as a topology...
– copper.hat
Nov 17 at 5:09
The spectral norm $|A| = (sup lambda in sigma(A A^*))^{1/2} = sup_v frac{|A v|_{ell^2}}{|v|_{ell^2}}$
– reuns
Nov 17 at 5:16
add a comment |
You need to supply a little more information such as a topology...
– copper.hat
Nov 17 at 5:09
The spectral norm $|A| = (sup lambda in sigma(A A^*))^{1/2} = sup_v frac{|A v|_{ell^2}}{|v|_{ell^2}}$
– reuns
Nov 17 at 5:16
You need to supply a little more information such as a topology...
– copper.hat
Nov 17 at 5:09
You need to supply a little more information such as a topology...
– copper.hat
Nov 17 at 5:09
The spectral norm $|A| = (sup lambda in sigma(A A^*))^{1/2} = sup_v frac{|A v|_{ell^2}}{|v|_{ell^2}}$
– reuns
Nov 17 at 5:16
The spectral norm $|A| = (sup lambda in sigma(A A^*))^{1/2} = sup_v frac{|A v|_{ell^2}}{|v|_{ell^2}}$
– reuns
Nov 17 at 5:16
add a comment |
1 Answer
1
active
oldest
votes
up vote
1
down vote
accepted
I think you need to further specify your problem.
Generally speaking, in a Hilbert space $H$ (since you are asking about positive operators I will put it in a Hilbert space, but some notations also carry over to Banach spaces), if we use the operator norm $|A|=sup_{xin H-{0}}frac{|Ax|}{|x|}$, we will have this result: $|A|=sup_{lambdainsigma(A)}lambda=sup_{|x|=1}left<x,Axright>$, where $sigma(A)$ is the spectrum of $A$. This is a special case of a more general result: $|A|=sup_{lambdainsigma(A)}|lambda|$ given $A$ is normal. Then take $A$ to be self-adjoint we know its spectrum is a compact subset of $mathbb{R}$, and if $A$ is furthermore positive we know $sup_{lambdainsigma(A)}|lambda|=sup_{lambdainsigma(A)}lambda$.
We have to be careful since in infinite dimensional space the spectrum of an operator has really subtle differences from that of a finite dimensional one, thus the "eigenvalues" (actually we call it the point spectrum $P_sigma(A)$ of $A$) need to be replaced by the spectrum $sigma(A)$. If the operator is compact, we can furthermore know the nonzero spectrum $sigma(A)backslash{0}$ of $A$ is identical to its point spectrum. Every finite rank operator is compact, so this will give you the same result in a finite dimensional Hilbert space.
what about the non–compact operator?
– mathrookie
Nov 17 at 6:43
As I have said, you can only have $|A|=sup_{lambdainsigma}|lambda|=sup_{lambdainsigma(A)}|left<x,Axright>|$ for a non-compact self-adjoint operator. Here the problem is still that the points in spectrum $sigma(A)$ don't need to be eigenvectors in infinite-dimensional space. The eigenvectors form a subset $P_sigma(A)subsetsigma(A)$ which we call the point spectrum.
– Apocalypse
Nov 17 at 6:51
Thanks very much.
– mathrookie
Nov 17 at 7:14
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
I think you need to further specify your problem.
Generally speaking, in a Hilbert space $H$ (since you are asking about positive operators I will put it in a Hilbert space, but some notations also carry over to Banach spaces), if we use the operator norm $|A|=sup_{xin H-{0}}frac{|Ax|}{|x|}$, we will have this result: $|A|=sup_{lambdainsigma(A)}lambda=sup_{|x|=1}left<x,Axright>$, where $sigma(A)$ is the spectrum of $A$. This is a special case of a more general result: $|A|=sup_{lambdainsigma(A)}|lambda|$ given $A$ is normal. Then take $A$ to be self-adjoint we know its spectrum is a compact subset of $mathbb{R}$, and if $A$ is furthermore positive we know $sup_{lambdainsigma(A)}|lambda|=sup_{lambdainsigma(A)}lambda$.
We have to be careful since in infinite dimensional space the spectrum of an operator has really subtle differences from that of a finite dimensional one, thus the "eigenvalues" (actually we call it the point spectrum $P_sigma(A)$ of $A$) need to be replaced by the spectrum $sigma(A)$. If the operator is compact, we can furthermore know the nonzero spectrum $sigma(A)backslash{0}$ of $A$ is identical to its point spectrum. Every finite rank operator is compact, so this will give you the same result in a finite dimensional Hilbert space.
what about the non–compact operator?
– mathrookie
Nov 17 at 6:43
As I have said, you can only have $|A|=sup_{lambdainsigma}|lambda|=sup_{lambdainsigma(A)}|left<x,Axright>|$ for a non-compact self-adjoint operator. Here the problem is still that the points in spectrum $sigma(A)$ don't need to be eigenvectors in infinite-dimensional space. The eigenvectors form a subset $P_sigma(A)subsetsigma(A)$ which we call the point spectrum.
– Apocalypse
Nov 17 at 6:51
Thanks very much.
– mathrookie
Nov 17 at 7:14
add a comment |
up vote
1
down vote
accepted
I think you need to further specify your problem.
Generally speaking, in a Hilbert space $H$ (since you are asking about positive operators I will put it in a Hilbert space, but some notations also carry over to Banach spaces), if we use the operator norm $|A|=sup_{xin H-{0}}frac{|Ax|}{|x|}$, we will have this result: $|A|=sup_{lambdainsigma(A)}lambda=sup_{|x|=1}left<x,Axright>$, where $sigma(A)$ is the spectrum of $A$. This is a special case of a more general result: $|A|=sup_{lambdainsigma(A)}|lambda|$ given $A$ is normal. Then take $A$ to be self-adjoint we know its spectrum is a compact subset of $mathbb{R}$, and if $A$ is furthermore positive we know $sup_{lambdainsigma(A)}|lambda|=sup_{lambdainsigma(A)}lambda$.
We have to be careful since in infinite dimensional space the spectrum of an operator has really subtle differences from that of a finite dimensional one, thus the "eigenvalues" (actually we call it the point spectrum $P_sigma(A)$ of $A$) need to be replaced by the spectrum $sigma(A)$. If the operator is compact, we can furthermore know the nonzero spectrum $sigma(A)backslash{0}$ of $A$ is identical to its point spectrum. Every finite rank operator is compact, so this will give you the same result in a finite dimensional Hilbert space.
what about the non–compact operator?
– mathrookie
Nov 17 at 6:43
As I have said, you can only have $|A|=sup_{lambdainsigma}|lambda|=sup_{lambdainsigma(A)}|left<x,Axright>|$ for a non-compact self-adjoint operator. Here the problem is still that the points in spectrum $sigma(A)$ don't need to be eigenvectors in infinite-dimensional space. The eigenvectors form a subset $P_sigma(A)subsetsigma(A)$ which we call the point spectrum.
– Apocalypse
Nov 17 at 6:51
Thanks very much.
– mathrookie
Nov 17 at 7:14
add a comment |
up vote
1
down vote
accepted
up vote
1
down vote
accepted
I think you need to further specify your problem.
Generally speaking, in a Hilbert space $H$ (since you are asking about positive operators I will put it in a Hilbert space, but some notations also carry over to Banach spaces), if we use the operator norm $|A|=sup_{xin H-{0}}frac{|Ax|}{|x|}$, we will have this result: $|A|=sup_{lambdainsigma(A)}lambda=sup_{|x|=1}left<x,Axright>$, where $sigma(A)$ is the spectrum of $A$. This is a special case of a more general result: $|A|=sup_{lambdainsigma(A)}|lambda|$ given $A$ is normal. Then take $A$ to be self-adjoint we know its spectrum is a compact subset of $mathbb{R}$, and if $A$ is furthermore positive we know $sup_{lambdainsigma(A)}|lambda|=sup_{lambdainsigma(A)}lambda$.
We have to be careful since in infinite dimensional space the spectrum of an operator has really subtle differences from that of a finite dimensional one, thus the "eigenvalues" (actually we call it the point spectrum $P_sigma(A)$ of $A$) need to be replaced by the spectrum $sigma(A)$. If the operator is compact, we can furthermore know the nonzero spectrum $sigma(A)backslash{0}$ of $A$ is identical to its point spectrum. Every finite rank operator is compact, so this will give you the same result in a finite dimensional Hilbert space.
I think you need to further specify your problem.
Generally speaking, in a Hilbert space $H$ (since you are asking about positive operators I will put it in a Hilbert space, but some notations also carry over to Banach spaces), if we use the operator norm $|A|=sup_{xin H-{0}}frac{|Ax|}{|x|}$, we will have this result: $|A|=sup_{lambdainsigma(A)}lambda=sup_{|x|=1}left<x,Axright>$, where $sigma(A)$ is the spectrum of $A$. This is a special case of a more general result: $|A|=sup_{lambdainsigma(A)}|lambda|$ given $A$ is normal. Then take $A$ to be self-adjoint we know its spectrum is a compact subset of $mathbb{R}$, and if $A$ is furthermore positive we know $sup_{lambdainsigma(A)}|lambda|=sup_{lambdainsigma(A)}lambda$.
We have to be careful since in infinite dimensional space the spectrum of an operator has really subtle differences from that of a finite dimensional one, thus the "eigenvalues" (actually we call it the point spectrum $P_sigma(A)$ of $A$) need to be replaced by the spectrum $sigma(A)$. If the operator is compact, we can furthermore know the nonzero spectrum $sigma(A)backslash{0}$ of $A$ is identical to its point spectrum. Every finite rank operator is compact, so this will give you the same result in a finite dimensional Hilbert space.
edited Nov 17 at 5:36
answered Nov 17 at 5:28
Apocalypse
1065
1065
what about the non–compact operator?
– mathrookie
Nov 17 at 6:43
As I have said, you can only have $|A|=sup_{lambdainsigma}|lambda|=sup_{lambdainsigma(A)}|left<x,Axright>|$ for a non-compact self-adjoint operator. Here the problem is still that the points in spectrum $sigma(A)$ don't need to be eigenvectors in infinite-dimensional space. The eigenvectors form a subset $P_sigma(A)subsetsigma(A)$ which we call the point spectrum.
– Apocalypse
Nov 17 at 6:51
Thanks very much.
– mathrookie
Nov 17 at 7:14
add a comment |
what about the non–compact operator?
– mathrookie
Nov 17 at 6:43
As I have said, you can only have $|A|=sup_{lambdainsigma}|lambda|=sup_{lambdainsigma(A)}|left<x,Axright>|$ for a non-compact self-adjoint operator. Here the problem is still that the points in spectrum $sigma(A)$ don't need to be eigenvectors in infinite-dimensional space. The eigenvectors form a subset $P_sigma(A)subsetsigma(A)$ which we call the point spectrum.
– Apocalypse
Nov 17 at 6:51
Thanks very much.
– mathrookie
Nov 17 at 7:14
what about the non–compact operator?
– mathrookie
Nov 17 at 6:43
what about the non–compact operator?
– mathrookie
Nov 17 at 6:43
As I have said, you can only have $|A|=sup_{lambdainsigma}|lambda|=sup_{lambdainsigma(A)}|left<x,Axright>|$ for a non-compact self-adjoint operator. Here the problem is still that the points in spectrum $sigma(A)$ don't need to be eigenvectors in infinite-dimensional space. The eigenvectors form a subset $P_sigma(A)subsetsigma(A)$ which we call the point spectrum.
– Apocalypse
Nov 17 at 6:51
As I have said, you can only have $|A|=sup_{lambdainsigma}|lambda|=sup_{lambdainsigma(A)}|left<x,Axright>|$ for a non-compact self-adjoint operator. Here the problem is still that the points in spectrum $sigma(A)$ don't need to be eigenvectors in infinite-dimensional space. The eigenvectors form a subset $P_sigma(A)subsetsigma(A)$ which we call the point spectrum.
– Apocalypse
Nov 17 at 6:51
Thanks very much.
– mathrookie
Nov 17 at 7:14
Thanks very much.
– mathrookie
Nov 17 at 7:14
add a comment |
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You need to supply a little more information such as a topology...
– copper.hat
Nov 17 at 5:09
The spectral norm $|A| = (sup lambda in sigma(A A^*))^{1/2} = sup_v frac{|A v|_{ell^2}}{|v|_{ell^2}}$
– reuns
Nov 17 at 5:16