At Class-12 level, "matrix decomposition" refers to a neat and useful theorem: every square matrix can be written as the sum of a symmetric matrix and a skew-symmetric matrix, and this split is unique.
The theorem
For any square matrix A,
A=symmetric part P21(A+A′)+skew-symmetric part Q21(A−A′),
where A′ is the transpose of A.
Why each part is what we claim
Write P=21(A+A′) and Q=21(A−A′). Then clearly P+Q=A. Now transpose each:
P′=21(A+A′)′=21(A′+A)=P⇒P is symmetric,
Q′=21(A−A′)′=21(A′−A)=−Q⇒Q is skew-symmetric.
So the two halves genuinely are a symmetric matrix and a skew-symmetric matrix that add back to A.