Singular and Non-Singular Matrix

A is a square matrix. If |A| = 0 , then A is called singular and if |A| ≠ 0 then A is called as a non-singular matrix.

Theorems:-

  1. If A is a non-singular matrix then
    inverse-of-non-singular-matrix-A

    mod of A inverse equal inverse of mod A
    2. inverse-of-adjoint-of-A
  2. If A is non-singular then A has to be invertible.
  3. If A, B are non-singular matrices then
    for-non-singular-matrices-A-and-B

  4. If A is a non-singular matrix and K is a non-zero real number then
    If-A-is-non-singular-matrix-and-K-is-non-zero-real-number-then-this-holds-true
  5. If A is a non-zero square matrix and there exists a square matrix B of same type such that AB = 0, then B is necessarily singular.
  6. If A, B are non-zero square matrices of the same type such that AB = 0, then both A and B are necessarily singular.
  7. If A is singular then Adjoint of A is also singular.
  8. If A is non-singular then Adjoint of A is also non-singular and |Adj A| = |A| to the power of (n-1)
  9. If A and B are non-singular matrices then, Adj (AB) = Adj B. Adj A
  10. For any two square matrices of the same type which means both are of same order n, |Adj AB| = |Adj A|.|Adj B|
  11. If A is a non-singular square matrix of order n, then
    If A is non-singular matrix of order n then these can be proved
  12. For any square matrix A of order n either it’s singular or non-singular, the following holds true:
    If-A-is-a-square-matrix-of-order-n-then-these-theorems-holds-true

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