For the covariance matrix show how we can get from step 1 to
For the covariance matrix, show how we can get from step 1 to step 2:
Solution
[x]ji means j rows and i colums
[x^-1]ij means i columns and j rows
the two matrix can be multiplied only if the number of rows of 1st is equal to the number of column of 2nd and the final dimensions of new matrix will be equal to the number of rows and column
here what we have is [x]ji[x^-1]ij here the number of rows of 1st matrix is j which is equal to the number of column i of 2nd and the resultand matrix have dimension of iXi
which means i rows and i column
now when the both will be multiplied we will get the step two = [xx^-1]ii
![For the covariance matrix, show how we can get from step 1 to step 2:Solution[x]ji means j rows and i colums [x^-1]ij means i columns and j rows the two matrix  For the covariance matrix, show how we can get from step 1 to step 2:Solution[x]ji means j rows and i colums [x^-1]ij means i columns and j rows the two matrix](/WebImages/37/for-the-covariance-matrix-show-how-we-can-get-from-step-1-to-1110177-1761588491-0.webp)
