Yeah, but there isn't really a hard-and-fast distinction between pure and applied, it's more a matter of historical/cultural convention. (which one is information theory, for example?) Theorems in applied math still have to be proved just as rigorously as theorems in pure math--in principle you should be able to prove them using axioms and formal rules of inference, although in practice even pure mathematicians don't usually prove new theorems that way. I guess the main difference is that pure mathematicians try to prove new theorems that have some sort of intrinsic interest to other mathematicians, while applied mathematicians try to prove new theorems that will make various real-world practical problems easier to deal with.Originally Posted by Marx & Lennon
Looking back over Croakmore's argument, there is a sense in which I agree with him--although I think statistics is genuine mathematics, if John Xenakis was claiming that his argument about the probability of life was totally rigorous I would disagree, because the application of statistical rules to real-world phenomena is much more heuristic...you have to worry about problems like the one of selection bias that I mentioned earlier.