The computation of the square root of a matrix is based upon its eigen
values and corresponding eigen vectors. The square matrix \(A\) is
diagonisable if there is a matrix \(V\) such that \(D = V^{-1}AV\),
whereby \(D\) is a diagonal matrix. This is only achieved if the eigen
vectors of the \((n \times n)\) matrix \(A\) constitute a basis of
dimension \(n\). The square root of \(A\) is then \(A^{1/2} = V
D^{1/2} V'\).