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 Jan 22 revised Determinant of non-square Jacobian added 353 characters in body Jan 22 asked Determinant of non-square Jacobian Jan 22 revised The differential of a symmetric matrix in terms of its eigen-decomposition deleted 1 character in body Jan 21 comment Calculus: tricky integration problem. you're overthinking this, there are many $g(x)$ which will work, all you need to do is find one. Use the fact that you can pull constants outside the integral. Jan 21 comment Calculus: tricky integration problem. consider $f(x) = (x^3-x)g(x)$, and now figure out what $g(x)$ could be. Jan 13 comment Is $\log \det \left( I + \frac 1 {\sigma^2} H F \bar H \right)$ concave? you mean the conjugate transpose? Jan 13 comment Is $\log \det \left( I + \frac 1 {\sigma^2} H F \bar H \right)$ concave? what is $\bar{H}$? Jan 13 comment Solution of quadratic optimization with linear constraints probably Lagrange multipliers then Jan 13 comment Solution of quadratic optimization with linear constraints are you expected to solve it analytically? or is this a specific problem with numerical values? Jan 13 comment The differential of a symmetric matrix in terms of its eigen-decomposition you're right that is interesting, but is there a way to use it to prove the formula above? Jan 13 comment The differential of a symmetric matrix in terms of its eigen-decomposition @user1952009, as far as I can tell this doesn't get me anything new. Jan 13 revised The differential of a symmetric matrix in terms of its eigen-decomposition added 32 characters in body Jan 13 revised The differential of a symmetric matrix in terms of its eigen-decomposition added 32 characters in body Jan 13 asked The differential of a symmetric matrix in terms of its eigen-decomposition Jan 13 accepted Given an algebraic curve $F(x,y)=0$, why do the partial derivatives of $F(x,y)$ being zero at a point imply the plane curve has a singularity? Jan 13 accepted Hidden Markov Model Coin Toss Problem Jan 12 comment Reference on properties of binary random vectors This isn't really about random matrices. We're going to need to know more about exactly what you're looking for, as it stands what you're asking for is too broad and vague. Random vectors are just n-variate random variables and they are basically studied everywhere in probability and statistics. Jan 12 revised Reference on properties of binary random vectors edited tags Jan 6 comment Non Zero Function .Differomophism. because $Df$ is linear and invertible it's an isomorphism of groups and thus must take the identity to identity. Jan 6 comment Could someone offer an explanation of $x^{10} \equiv 1 \pmod{11}$? look up Fermat's Little Theorem.