- #1
trimota
- 1
- 0
Hi,
I'm working on a project of calculating the complexity of a system which is represented by a matrix which shows the connective between each element. Normally this matrix is symmetry and the diagonal elements are 0. From the past paper, it's ln((2*pi*exp(n))*det(COV(X))) where X is the system and COV(X) means the covariance matrix which is calculated by:Q= the inverse of (1-CON(X)), COV(X)=(transpose of Q)*Q. Even though these formulays are given.
I'm still confused about how to relate the determinant of COV(X) with the entropy of the system. (The detail process)And what can we do about a matrix with a determinant of COV(X) is 0.
I'm working on a project of calculating the complexity of a system which is represented by a matrix which shows the connective between each element. Normally this matrix is symmetry and the diagonal elements are 0. From the past paper, it's ln((2*pi*exp(n))*det(COV(X))) where X is the system and COV(X) means the covariance matrix which is calculated by:Q= the inverse of (1-CON(X)), COV(X)=(transpose of Q)*Q. Even though these formulays are given.
I'm still confused about how to relate the determinant of COV(X) with the entropy of the system. (The detail process)And what can we do about a matrix with a determinant of COV(X) is 0.