The aim of this note is to show that the matrix S(n, alpha) = (1 - alp
ha)I + alpha ee(tau), e = (1,...,1)(tau), alpha is an element of (0, 1
) is not a counterexample for the accuracy properties of the Jacobi me
thod for computing the singular and eigenvalue decomposition, as might
be understood from a recent article of Mascarenhas in this journal. I
n fact, the Jacobi process on S(n, alpha) is an example of the perfect
behaviour of the algorithm. It is shown that Jacobi rotations preserv
e the optimal (with respect to diagonal scalings) spectral condition n
umber of S(n, alpha).