derivative of an integral with respect to matrix element












0












$begingroup$


I need to compute the following derivative:



$$
frac{partial}{partial V_{mn}} int prod_j dphi_j , mathrm{Tr}
left(ln(i phi + beta J V)right)
$$

where $phi equiv phi_i delta_{ij}$ is a diagonal matrix and $V$ is a matrix with elements $V_{mn}$ that are independent of $phi_j$ (note the $i$ inside the natural log is the imaginary unit).



My attempt



1) I understand the $V_{mn}$ and $phi_j$ are independent, so the derivative can be carried into the integral.



2) I'm less sure about whether I can carry the derivative into the trace -- but I assume so because of linearity.



Then I would think the answer would be (with chain rule):



$$
int prod_j dphi_j , beta J (iphi + beta J V)^{-1}_{mn}
$$



Is my reasoning/answer correct? Any hints appreciated.










share|cite|improve this question











$endgroup$












  • $begingroup$
    Replace the expression $,beta J(iphi+beta JV)^{-1},$ by $,,beta J^T(iphi+beta JV)^{-T}.$
    $endgroup$
    – greg
    Dec 18 '18 at 22:26










  • $begingroup$
    @greg 1) What does $-T$ as an exponent mean? inverse + transpose? 2) $J$ is a number, not a matrix. 3) why and how does the transpose come into play?
    $endgroup$
    – ksgj1
    Dec 18 '18 at 22:57


















0












$begingroup$


I need to compute the following derivative:



$$
frac{partial}{partial V_{mn}} int prod_j dphi_j , mathrm{Tr}
left(ln(i phi + beta J V)right)
$$

where $phi equiv phi_i delta_{ij}$ is a diagonal matrix and $V$ is a matrix with elements $V_{mn}$ that are independent of $phi_j$ (note the $i$ inside the natural log is the imaginary unit).



My attempt



1) I understand the $V_{mn}$ and $phi_j$ are independent, so the derivative can be carried into the integral.



2) I'm less sure about whether I can carry the derivative into the trace -- but I assume so because of linearity.



Then I would think the answer would be (with chain rule):



$$
int prod_j dphi_j , beta J (iphi + beta J V)^{-1}_{mn}
$$



Is my reasoning/answer correct? Any hints appreciated.










share|cite|improve this question











$endgroup$












  • $begingroup$
    Replace the expression $,beta J(iphi+beta JV)^{-1},$ by $,,beta J^T(iphi+beta JV)^{-T}.$
    $endgroup$
    – greg
    Dec 18 '18 at 22:26










  • $begingroup$
    @greg 1) What does $-T$ as an exponent mean? inverse + transpose? 2) $J$ is a number, not a matrix. 3) why and how does the transpose come into play?
    $endgroup$
    – ksgj1
    Dec 18 '18 at 22:57
















0












0








0





$begingroup$


I need to compute the following derivative:



$$
frac{partial}{partial V_{mn}} int prod_j dphi_j , mathrm{Tr}
left(ln(i phi + beta J V)right)
$$

where $phi equiv phi_i delta_{ij}$ is a diagonal matrix and $V$ is a matrix with elements $V_{mn}$ that are independent of $phi_j$ (note the $i$ inside the natural log is the imaginary unit).



My attempt



1) I understand the $V_{mn}$ and $phi_j$ are independent, so the derivative can be carried into the integral.



2) I'm less sure about whether I can carry the derivative into the trace -- but I assume so because of linearity.



Then I would think the answer would be (with chain rule):



$$
int prod_j dphi_j , beta J (iphi + beta J V)^{-1}_{mn}
$$



Is my reasoning/answer correct? Any hints appreciated.










share|cite|improve this question











$endgroup$




I need to compute the following derivative:



$$
frac{partial}{partial V_{mn}} int prod_j dphi_j , mathrm{Tr}
left(ln(i phi + beta J V)right)
$$

where $phi equiv phi_i delta_{ij}$ is a diagonal matrix and $V$ is a matrix with elements $V_{mn}$ that are independent of $phi_j$ (note the $i$ inside the natural log is the imaginary unit).



My attempt



1) I understand the $V_{mn}$ and $phi_j$ are independent, so the derivative can be carried into the integral.



2) I'm less sure about whether I can carry the derivative into the trace -- but I assume so because of linearity.



Then I would think the answer would be (with chain rule):



$$
int prod_j dphi_j , beta J (iphi + beta J V)^{-1}_{mn}
$$



Is my reasoning/answer correct? Any hints appreciated.







linear-algebra partial-derivative matrix-calculus trace






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Dec 19 '18 at 4:27







ksgj1

















asked Dec 18 '18 at 21:23









ksgj1ksgj1

1356




1356












  • $begingroup$
    Replace the expression $,beta J(iphi+beta JV)^{-1},$ by $,,beta J^T(iphi+beta JV)^{-T}.$
    $endgroup$
    – greg
    Dec 18 '18 at 22:26










  • $begingroup$
    @greg 1) What does $-T$ as an exponent mean? inverse + transpose? 2) $J$ is a number, not a matrix. 3) why and how does the transpose come into play?
    $endgroup$
    – ksgj1
    Dec 18 '18 at 22:57




















  • $begingroup$
    Replace the expression $,beta J(iphi+beta JV)^{-1},$ by $,,beta J^T(iphi+beta JV)^{-T}.$
    $endgroup$
    – greg
    Dec 18 '18 at 22:26










  • $begingroup$
    @greg 1) What does $-T$ as an exponent mean? inverse + transpose? 2) $J$ is a number, not a matrix. 3) why and how does the transpose come into play?
    $endgroup$
    – ksgj1
    Dec 18 '18 at 22:57


















$begingroup$
Replace the expression $,beta J(iphi+beta JV)^{-1},$ by $,,beta J^T(iphi+beta JV)^{-T}.$
$endgroup$
– greg
Dec 18 '18 at 22:26




$begingroup$
Replace the expression $,beta J(iphi+beta JV)^{-1},$ by $,,beta J^T(iphi+beta JV)^{-T}.$
$endgroup$
– greg
Dec 18 '18 at 22:26












$begingroup$
@greg 1) What does $-T$ as an exponent mean? inverse + transpose? 2) $J$ is a number, not a matrix. 3) why and how does the transpose come into play?
$endgroup$
– ksgj1
Dec 18 '18 at 22:57






$begingroup$
@greg 1) What does $-T$ as an exponent mean? inverse + transpose? 2) $J$ is a number, not a matrix. 3) why and how does the transpose come into play?
$endgroup$
– ksgj1
Dec 18 '18 at 22:57












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