Rank Of A Matrix , How To Check Weather It Is Singular Or Non-singular
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CLICK ON https://www.youtube.com/watch?v=ukn59P4-9Fk The maximum number of linearly independent vectors in a matrix is equal to the number of non-zero rows in its row echelon matrix. Therefore, to find the rank of a matrix, we simply transform the matrix to its row echelon form and count the number of non-zero rows
Identity Matrix: IA = AI = A
I is unique.
Transpose of Identity: IT = I
Product of Identity with itself: II = I
Identity in the Middle: AIB = AB
Matrix Inverse: AA-1 = A-1A = I
Singular and non-singular matrices.
Uniqueness of matrix inverse.
Inverse of a Product: (AB)-1 = B-1 A-1
Inverse of a Matrix Transpose: (A-1)T = (AT)-1
Determinant of a singular matrix.
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calculate rank of a matrix for different problems briefly
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