Continuously Differentiably Unitarily Diagonalizing $B + tC$, for $B$, $C$ Hermitian.

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Let $B$ and $C$ be self-adjoint (complex) $ntimes n$ matrices. I was wondering if there is an expansion: $B + tC = U_t^ast Lambda(t) U_t$, a continuously differentiable unitary diagonalization, where $Lambda(t)$ and $U_t$ are continuously differentiable, where $Lambda(t)$ is diagonal and $U_t$ is unitary. See (1) below for why I care about this.
I looked at a few StackExchange/Math Overflow posts on this subject. E.g.
Continuously changing Null Space
Do eigenvalues/vectors change continuously?
how to find/define eigenvectors as a continuous function of matrix?
Conditions for smooth dependence of the eigenvalues and eigenvectors of a matrix on a set of parameters
I also tried reading up on some articles on this, but mainly they discussed matrices with elements in $C(X)$, the continuous (real? complex?) functions on a topological space $X$, but I did not get far with getting an application in this case.
Note especially the last reference. The question that I have is that my example is very simple, analytic since it is linear, but it is not symmetric which the last reference says that a result in Kato's Perturbation Theory of Linear Operators says that it works, but self-adjoint (i.e. Hermitian). I also was not able to reduce the Hermitian case to the symmetric case by applying that result to $B + tC + overlineB+tC$ and $B + tC - overlineB+tC$, but $B$ and $C$ might not commute so I don't know if it can extend in this way.
I was wondering what the result would be in this case and if anyone has the relevant reference/theorem statement for the question that I am wondering.
Thank you very much.
(1): See Perturbation Theory: Derivative of a trace. for context, but a particular trace forumula follows using the property of the trace $operatornameTr[PQ] = operatornameTr[QP]$, $U_t^ast U_t = 1$ (and so that $(U_0')^ast U_0 + U_0^ast U_0' = 0$), $B = U_0Lambda(0)U_0$, and $C = fracddt|_t=0(B + tC) = fracddt|_t=0(U_t^ast Lambda(t) U_t)$. The desired result follows after a little calculation.
matrices operator-theory diagonalization matrix-decomposition perturbation-theory
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Let $B$ and $C$ be self-adjoint (complex) $ntimes n$ matrices. I was wondering if there is an expansion: $B + tC = U_t^ast Lambda(t) U_t$, a continuously differentiable unitary diagonalization, where $Lambda(t)$ and $U_t$ are continuously differentiable, where $Lambda(t)$ is diagonal and $U_t$ is unitary. See (1) below for why I care about this.
I looked at a few StackExchange/Math Overflow posts on this subject. E.g.
Continuously changing Null Space
Do eigenvalues/vectors change continuously?
how to find/define eigenvectors as a continuous function of matrix?
Conditions for smooth dependence of the eigenvalues and eigenvectors of a matrix on a set of parameters
I also tried reading up on some articles on this, but mainly they discussed matrices with elements in $C(X)$, the continuous (real? complex?) functions on a topological space $X$, but I did not get far with getting an application in this case.
Note especially the last reference. The question that I have is that my example is very simple, analytic since it is linear, but it is not symmetric which the last reference says that a result in Kato's Perturbation Theory of Linear Operators says that it works, but self-adjoint (i.e. Hermitian). I also was not able to reduce the Hermitian case to the symmetric case by applying that result to $B + tC + overlineB+tC$ and $B + tC - overlineB+tC$, but $B$ and $C$ might not commute so I don't know if it can extend in this way.
I was wondering what the result would be in this case and if anyone has the relevant reference/theorem statement for the question that I am wondering.
Thank you very much.
(1): See Perturbation Theory: Derivative of a trace. for context, but a particular trace forumula follows using the property of the trace $operatornameTr[PQ] = operatornameTr[QP]$, $U_t^ast U_t = 1$ (and so that $(U_0')^ast U_0 + U_0^ast U_0' = 0$), $B = U_0Lambda(0)U_0$, and $C = fracddt|_t=0(B + tC) = fracddt|_t=0(U_t^ast Lambda(t) U_t)$. The desired result follows after a little calculation.
matrices operator-theory diagonalization matrix-decomposition perturbation-theory
Kato uses "symmetric" to mean Hermitian symmetric.
â Keith McClary
Aug 22 at 4:21
Really? That is nice to hear. Thank you.
â 4-ier
Aug 22 at 4:35
add a comment |Â
up vote
1
down vote
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up vote
1
down vote
favorite
Let $B$ and $C$ be self-adjoint (complex) $ntimes n$ matrices. I was wondering if there is an expansion: $B + tC = U_t^ast Lambda(t) U_t$, a continuously differentiable unitary diagonalization, where $Lambda(t)$ and $U_t$ are continuously differentiable, where $Lambda(t)$ is diagonal and $U_t$ is unitary. See (1) below for why I care about this.
I looked at a few StackExchange/Math Overflow posts on this subject. E.g.
Continuously changing Null Space
Do eigenvalues/vectors change continuously?
how to find/define eigenvectors as a continuous function of matrix?
Conditions for smooth dependence of the eigenvalues and eigenvectors of a matrix on a set of parameters
I also tried reading up on some articles on this, but mainly they discussed matrices with elements in $C(X)$, the continuous (real? complex?) functions on a topological space $X$, but I did not get far with getting an application in this case.
Note especially the last reference. The question that I have is that my example is very simple, analytic since it is linear, but it is not symmetric which the last reference says that a result in Kato's Perturbation Theory of Linear Operators says that it works, but self-adjoint (i.e. Hermitian). I also was not able to reduce the Hermitian case to the symmetric case by applying that result to $B + tC + overlineB+tC$ and $B + tC - overlineB+tC$, but $B$ and $C$ might not commute so I don't know if it can extend in this way.
I was wondering what the result would be in this case and if anyone has the relevant reference/theorem statement for the question that I am wondering.
Thank you very much.
(1): See Perturbation Theory: Derivative of a trace. for context, but a particular trace forumula follows using the property of the trace $operatornameTr[PQ] = operatornameTr[QP]$, $U_t^ast U_t = 1$ (and so that $(U_0')^ast U_0 + U_0^ast U_0' = 0$), $B = U_0Lambda(0)U_0$, and $C = fracddt|_t=0(B + tC) = fracddt|_t=0(U_t^ast Lambda(t) U_t)$. The desired result follows after a little calculation.
matrices operator-theory diagonalization matrix-decomposition perturbation-theory
Let $B$ and $C$ be self-adjoint (complex) $ntimes n$ matrices. I was wondering if there is an expansion: $B + tC = U_t^ast Lambda(t) U_t$, a continuously differentiable unitary diagonalization, where $Lambda(t)$ and $U_t$ are continuously differentiable, where $Lambda(t)$ is diagonal and $U_t$ is unitary. See (1) below for why I care about this.
I looked at a few StackExchange/Math Overflow posts on this subject. E.g.
Continuously changing Null Space
Do eigenvalues/vectors change continuously?
how to find/define eigenvectors as a continuous function of matrix?
Conditions for smooth dependence of the eigenvalues and eigenvectors of a matrix on a set of parameters
I also tried reading up on some articles on this, but mainly they discussed matrices with elements in $C(X)$, the continuous (real? complex?) functions on a topological space $X$, but I did not get far with getting an application in this case.
Note especially the last reference. The question that I have is that my example is very simple, analytic since it is linear, but it is not symmetric which the last reference says that a result in Kato's Perturbation Theory of Linear Operators says that it works, but self-adjoint (i.e. Hermitian). I also was not able to reduce the Hermitian case to the symmetric case by applying that result to $B + tC + overlineB+tC$ and $B + tC - overlineB+tC$, but $B$ and $C$ might not commute so I don't know if it can extend in this way.
I was wondering what the result would be in this case and if anyone has the relevant reference/theorem statement for the question that I am wondering.
Thank you very much.
(1): See Perturbation Theory: Derivative of a trace. for context, but a particular trace forumula follows using the property of the trace $operatornameTr[PQ] = operatornameTr[QP]$, $U_t^ast U_t = 1$ (and so that $(U_0')^ast U_0 + U_0^ast U_0' = 0$), $B = U_0Lambda(0)U_0$, and $C = fracddt|_t=0(B + tC) = fracddt|_t=0(U_t^ast Lambda(t) U_t)$. The desired result follows after a little calculation.
matrices operator-theory diagonalization matrix-decomposition perturbation-theory
asked Aug 22 at 3:31
4-ier
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Kato uses "symmetric" to mean Hermitian symmetric.
â Keith McClary
Aug 22 at 4:21
Really? That is nice to hear. Thank you.
â 4-ier
Aug 22 at 4:35
add a comment |Â
Kato uses "symmetric" to mean Hermitian symmetric.
â Keith McClary
Aug 22 at 4:21
Really? That is nice to hear. Thank you.
â 4-ier
Aug 22 at 4:35
Kato uses "symmetric" to mean Hermitian symmetric.
â Keith McClary
Aug 22 at 4:21
Kato uses "symmetric" to mean Hermitian symmetric.
â Keith McClary
Aug 22 at 4:21
Really? That is nice to hear. Thank you.
â 4-ier
Aug 22 at 4:35
Really? That is nice to hear. Thank you.
â 4-ier
Aug 22 at 4:35
add a comment |Â
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Kato uses "symmetric" to mean Hermitian symmetric.
â Keith McClary
Aug 22 at 4:21
Really? That is nice to hear. Thank you.
â 4-ier
Aug 22 at 4:35