If the probability distribution P of two-dimensional random variables is diagonal (antidiagonal or independent, resp.), then [??] is a T -fuzzy ideal of A if and only if
If [??](0) = 1 and the probability distribution P of two-dimensional random variables is antidiagonal (or independent), then [??] is a [T.sub.m]-fuzzy ideal (or [T.sub.p]-fuzzy ideal) of A if and only if [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII].
We only consider that P is antidiagonal. Suppose that [MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII].
If a p-table presents a block (m, n; k), then the [m/n] Pade approximant computed with m + n + 1 coefficients [c.sub.0], [c.sub.1], ..., [c.sub.m+n], located on the antidiagonal m + n = const in the p-table is clearly the best Pade approximant (BPA) on this antidiagonal, because it is the only approximant which reproduces exactly the series C(z) up to the power [z.sup.m+n+k-1].
Then, we stop at the moment of the ascending computation of this antidiagonal and we return to the next antidiagonal to verify the value of the determinant situated under this first zero.
Each chromatic pentad also contains three diagonal matrices corresponding to three coordinates and two antidiagonal mass matrices - one for top quark state and the other--for bottom quark state.
Each gustatory pentad contains a single diagonal coordinate matrix and two pairs of antidiagonal mass matrices  --these pentads are not needed yet.
) can have more than r nonzero entries on it because of the longest decreasing subsequence condition.