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?










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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

















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?










share|cite|improve this question
























  • 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















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?










share|cite|improve this question















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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share|cite|improve this question













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share|cite|improve this question








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




















  • 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












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.






share|cite|improve this answer























  • 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











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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.






share|cite|improve this answer























  • 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















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.






share|cite|improve this answer























  • 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













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.






share|cite|improve this answer














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.







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








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


















  • 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


















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