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- From: hrubin@mentor.cc.purdue.edu (Herman Rubin)
- Newsgroups: sci.math
- Subject: Re: nonstandard analysis
- Message-ID: <Bz5F04.5p3@mentor.cc.purdue.edu>
- Date: 12 Dec 92 13:33:39 GMT
- References: <1992Dec6.025006.16915@athena.mit.edu> <24210@galaxy.ucr.edu> <1992Dec11.234035.1668@news.Hawaii.Edu>
- Organization: Purdue University Statistics Department
- Lines: 21
-
- In article <1992Dec11.234035.1668@news.Hawaii.Edu> ross@tarski.tmc.edu (David Ross) writes:
- >In article <24210@galaxy.ucr.edu> baez@guitar.ucr.edu (john baez) writes:
-
- >>By now, so much has been done standardly that the advantages of nonstandard
- >>analysis, if any, are not enough to make many mathematicians want to retool
- >>and go nonstandard.
-
- >There are many results in analysis, especially probability theory, for which
- >the only known proofs use nonstandard analysis.
-
- This is at best illusory. Nonstandard analysis is useful in finding theorems
- and simplifying arguments, but with caveats involved in interpretation.
-
- However, since any nonstandard proof of a standard theorem can be mechanically
- translated into a standard proof, at most one can say that the standard proofs
- have not been written, not that only a nonstandard proof is known.
- --
- Herman Rubin, Dept. of Statistics, Purdue Univ., West Lafayette IN47907-1399
- Phone: (317)494-6054
- hrubin@snap.stat.purdue.edu (Internet, bitnet)
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-