13.07.2015 Views

Mancosu - Philosophy of Mathematical Practice (Oxford, 2008).pdf

Mancosu - Philosophy of Mathematical Practice (Oxford, 2008).pdf

Mancosu - Philosophy of Mathematical Practice (Oxford, 2008).pdf

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

eyond unification 165the necessary metatheory precisely but can leave its concrete delimitationsomewhat open.The pro<strong>of</strong> in (III) belongs to a systematization <strong>of</strong> K relative to a widerframework, KIII ∗ , <strong>of</strong> real algebraic geometry. Brumfiel stresses that K∗ III is notconfined to elementary methods. ‘In fact, we use Dedekind cuts, total orders,and signed places⁸ repeatedly. The point is, in the form we use these conceptsthey apply uniformly to all real closed fields. One advantage to developing suchtechniques is precisely that one is not tied down to ‘‘elementary sentences’’ ’(Brumfiel, 1979, p.166).Now we can ask what the best systematization <strong>of</strong> K is. If we can find asystematization that makes use <strong>of</strong> only one argument pattern to generate all<strong>of</strong> K, then any other systematization which uses a greater number <strong>of</strong> patternsis inferior. It turns out, then, that the best systematization <strong>of</strong> K is the oneprovided by the Tarski–Seidenberg decision procedure for RCF, i.e. the oneexemplified by (I). The uniformity <strong>of</strong> the procedure shows that we havein principle a single argument pattern which we can use to generate all <strong>of</strong>K. Comparing this situation with those in which we try to prove arbitraryelementary sentences <strong>of</strong> K by means <strong>of</strong> pro<strong>of</strong>s such as those given in (II) and(III) makes it obvious that we can’t get by with just one pattern <strong>of</strong> argument.Consider pro<strong>of</strong>s <strong>of</strong> type (III). The specific argument used to determine thevalidity <strong>of</strong> the proposition asserting that a polynomial assumes a maximumon any arbitrary closed and bounded semi-algebraic set would be useless forderiving, say, the algebraic form <strong>of</strong> Brouwer’s Fixed Point Theorem.⁹Similarly in the case <strong>of</strong> pro<strong>of</strong>s <strong>of</strong> type (II). For in this case we need todetermine the truth <strong>of</strong> ϕ under consideration in R, or some other real closedfield. And only after this task has been accomplished can we appeal to thecompleteness <strong>of</strong> RCF. But the first task, the determination <strong>of</strong> the truth value<strong>of</strong> ϕ in some real closed field, is not a uniform process; rather we need, aspointed out with respect to case (III), different argument patterns for differentclasses <strong>of</strong> ϕ. In short, whereas with respect to the specific problem concerningmaxima <strong>of</strong> polynomials all three systematizations exhibit a certain uniformity inthe treatment <strong>of</strong> sentences that are instances <strong>of</strong> this problem, only the strategythat relies on the Tarski–Seidenberg decision procedure can be extended to⁸ Cf. Brumfiel, 1979, p.144f: Let be a totally ordered field. We adjoin symbols ∞ and −∞ to and extend the operations <strong>of</strong> addition, subtraction, multiplication, and division between ∞, −∞ andelements a ∈ (e.g. ∞+∞=∞, a = 0, etc. Some expressions, like 0 ·∞, remain undefined). If∞K is a field by a signed place, withvaluesin, we mean a function f : K → ∪{∞, −∞}, such thatf (x + y) = f (x) + f (y), f (xy) = f (x)f (y), andf (1) = 1, whenever the terms are defined.⁹ Let S be a closed, bounded, convex, semi-algebraic set in R n , for some real closed field R. Thenevery continuous rational function mapping S to itself has a fixed point in S.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!