So I am a physicist and I encountered the following derivative in my study of the SYK model:
$\frac{dTr(\log(A))}{dA}$ where $A$ is a symmetric matrix.
I know that Tr$(\log(X))=\log(\det(X))$ and found a proof that $\frac{d\log(\det(X))}{dX}=X^{-T}$ for a positive definite matrix X.
My question is if there is a known way to proof that $\frac{dTr(\log(A))}{dA}=A^{-1}$ using index notation? For example I think the following proofs that $\frac{dTr(XY)}{dX}=Y^T$ by looking at the indices (using Einstein summation convention): $\frac{d}{dX_{ij}}X_{kl}Y_{lk}=\delta_{ik}\delta_{jl}Y_{lk}=Y_{ji}$. But I am not able to (find a) proof that $\frac{dTr(\log(A))}{dA}=A^{-1}$ (where A is symmetric) in a similar way and have no idea if its even in principle possible.