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Minor, Cofactor, Determinant, Adjoint & Inverse of a Matrix

Consider a matrix

Minor of a Matrix

In the above matrix A, the minor of first element a11 shall be

Cofactor

The Cofactor Cij of an element aij shall be

When the sum of row number and column number is even, then Cofactor shall be positive, and for odd, Cofactor shall be negative.

The determinant of an n x n matrix can be defined as the sum of multiplication of the first row element and their respective cofactors.
Example, For a 2 x 2 matrix

Cofactor C11 = m11 = | a22| = a22 = 2

Determinant

The determinant of A is 

|A| = (3 x 2) - (1 x 1) = 5

Adjoint or Adjucate

The Adjoint matrix of A , adjA is the transpose of its cofactor matrix.

Inverse Matrix

A matrix should be square matrix to have an inverse matrix and also its determinant should not be zero.

The multiplication of matrix and its inverse shall be Identity matrix.

The square matrix has no inverse is called Singular.

Inv A = adjA / |A|         [ adjoint A / determinant A ]

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Exercise 1 - Amdahl's Law

A programmer is given the job to write a program on a computer with processor having speedup factor 3.8 on 4 processors. He makes it 95% parallel and goes home dreaming of a big pay raise. Using Amdahl’s law, and assuming the problem size is the same as the serial version, and ignoring communication costs, what is the speedup factor that the programmer will get? Solution Speedup formula as per Amdahl's Law, N - no of processor = 4 f - % of parallel operation = 95% Speedup = 1 / (1 - 0.95) + (0.95/4) = 1 / 0.5 + (0.95/4) Speedup = 3.478 The programmer gets  3.478 as t he speedup factor.