The Metropolis choice is to maximize the A values, that is A_{j \rightarrow i} = \min \left ( 1, \frac{p_iT_{i\rightarrow j}}{ p_jT_{j\rightarrow i}}\right ). Other choices are possible, but they all correspond to multilplying A_{i\rightarrow j} and A_{j\rightarrow i} by the same constant smaller than unity.\footnote{The penalty function method uses just such a factor to compensate for p_i that are evaluated stochastically and are therefore noisy.}