Understanding the Inverse of the Sum of Matrices (A + B)^1
The inverse of the sum of matrices, represented as (A + B)^1, is not simply the sum of the inverses, i.e., A^1 + B^1. This is because matrix addition and inversion don't commute.
Key Concepts:
 Matrix Addition: Matrices of the same dimensions can be added by adding corresponding elements.
 Matrix Inverse: The inverse of a square matrix A, denoted as A^1, satisfies the condition: A * A^1 = A^1 * A = I, where I is the identity matrix.
 NonCommutativity: Matrix multiplication is generally not commutative, meaning A * B ≠ B * A.
Finding (A + B)^1
There's no simple formula to directly calculate (A + B)^1. Here's a breakdown of the process:
 Calculate the Sum: Find the sum of matrices A and B, denoted as C = A + B.
 Find the Determinant: Calculate the determinant of C (C). If C = 0, the matrix C is singular and has no inverse.
 Calculate the Adjugate: Determine the adjugate of C (adj(C)). This involves finding the transpose of the matrix of cofactors of C.
 Calculate the Inverse: (A + B)^1 = C^1 = (1/C) * adj(C)
Example:
Let's consider two 2x2 matrices:
A = [[1, 2], [3, 4]]
B = [[5, 6], [7, 8]]

Calculate C = A + B: C = [[1+5, 2+6], [3+7, 4+8]] = [[6, 8], [10, 12]]

Find the Determinant of C: C = (6 * 12)  (8 * 10) = 72  80 = 8

Calculate the Adjugate of C: adj(C) = [[12, 8], [10, 6]]

Calculate (A + B)^1: (A + B)^1 = C^1 = (1/8) * [[12, 8], [10, 6]] = [[3/2, 1], [5/4, 3/4]]
Conclusion:
Finding the inverse of (A + B) involves a series of matrix operations. It's essential to remember that matrix operations, particularly inversion and multiplication, are not commutative. The process requires calculating the determinant, adjugate, and then applying the appropriate formula to determine the inverse.