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Questions related from Maksim Sergeevich Barketau
We consider the Riemann metric: that is the functions g_{ij}(z_1,...,z_n) with a positive definite matrix g_{i,j} in the point space with arbitrary coordinates (z_1,z_2,...,z_n). Assume we make a...
08 August 2018 7,565 19 View
X is a covariance matrix of a gaussian vector R with a zero mean. Let Q=sign(R), that is Q_i=1 when R_i >=0 and Q_i=-1 when R_i < 0. Prove that...
06 June 2017 4,621 0 View
There is a random vector x=(x_1,x_2,...,x_n) with a non-negative support. There is additional constraint Ax=b. Is it true that E(x*x^T) belongs to the set conv{yy^T
05 May 2017 4,638 8 View
There is a convex program with the convex constraint: sup_{V \in \math{V}}Tr(QV)+\sum_{i=1}^{d}sup_{P_i \in \math{P_i}}Integral of max{p_i*Ksi_i^2+2q_i*Ksi_i+r_i, p_i' *Ksi_i^2 + 2q_i' *Ksi_i +..."> Question regarding the convex program? We use cookies to make interactions with our website easy and meaningful, to better understand the use of our services, and to tailor advertising. For further information, including about cookie settings, please read our Cookie Policy . By continuing to use this site, you consent to the use of cookies.
05 May 2017 4,729 5 View
Prove that R=XZ, where X is a given non-singular matrix, Z is some orthogonal matrix and R is positive definite symmetric matrix.
05 May 2017 2,399 10 View
Is it true that the sum of absolute values of non-diagonal elements of a line of a positive semidefinite symmetric matrix is less or equal to the sum of it's diagonal elements? Ideas are welcome,...
11 November 2016 5,258 12 View
Let x=(x_1,...,x_n)' and w=(w_1,...,w_n)' are two n-component random vectors. w is independent of x. x has a standard normal distribution (N(0,I_n)). Why the following equality is...
08 August 2016 6,073 8 View
