Show that if X and Y have the same distribution then
Var((X + Y)/2) ≤ Var(X)
Hence, conclude that the use of antithetic variables can never increase variance (though it need not be as efficient as generating an independent set of random numbers).
Now it is always true that
\frac{\operatorname{Cov}(V, W)}{\sqrt{\operatorname{Var}(V) \operatorname{Var}(W)}} \leqslant 1and so when X and Y have the same distribution Cov(X,Y) ≤ Var(X).