Lectures on Constructive Mathematics. - Mathematics, Algorithms ...

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Another way of looking at CLASS: it is a model of BISH. Brouwer’s intuitionistic mathematics (INT) and the recursive constructive mathematics (RUSS) of the Markov School both use intuitionistic logic, and both are models of BISH: Every theorem in BISH is also a theorem of INT and of RUSS. Brauer has shown that BISH can be interpreted within Weihrauch’s Type 2 E¤ectivity framework for computable analysis.
We use these models of BISH to obtain independence results. Since and INT/CLASS ` Every continuous function f : [0; 1] ! R is uniformly continuous RUSS ` There exists a continuous, real-valued function on [0; 1] that is not uniformly continuos, we see that each of the propositions following “`” is neither provable nor disprovable in BISH. In other words, each of them is independent of BISH.
Page 1 and 2: 1958-1 Summer School and Conference
Page 3 and 4: Lecture 1
Page 5 and 6: Constructive proof of the existence
Page 7 and 8: Although the decimal expansion of h
Page 9 and 10: Why is this proof nonconstructive?
Page 11 and 12: If we want to prove something const
Page 13 and 14: The constructive vs nonconstructive
Page 15 and 16: Bishop-style constructive mathemati
Page 17 and 18: We do not restrict to a class of
Page 19 and 20: The BHK interpretation Modern intui
Page 21 and 22: I 9xP (x) : we have (i) an algorith
Page 23 and 24: The Goldbach conjecture (GC, 1742):
Page 25 and 26: The use of GC here is purely illust
Page 27 and 28: Suppose we have a constructive proo
Page 29 and 30: Here is another essentially noncons
Page 31 and 32: Consider the classically trivial pr
Page 33 and 34: The following elementary classical
Page 35: Note: classically valid statements
Page 39 and 40: Note, though, that the statement If
Page 41 and 42: The last of these properties ensure
Page 43 and 44: Let x; y be real numbers. We say th
Page 45 and 46: Let S be a subset of R. An upper bo
Page 47 and 48: Lecture 2
Page 49 and 50: As in the classical theory, both X
Page 51 and 52: The complement of a set S in X is t
Page 53 and 54: Total boundedness is very important
Page 55 and 56: Another extremely important, though
Page 57 and 58: Let X be a totally bounded metric s
Page 59 and 60: A complete, totally bounded metric
Page 61 and 62: Proposition: Let Y be an inhabited
Page 63 and 64: A seminorm on a linear space X is m
Page 65 and 66: A mapping u between vector spaces X
Page 67 and 68: Proposition: A nonzero linear funct
Page 69 and 70: Inducting on the dimension, we can
Page 71 and 72: A subspace Y of a metric space X is
Page 73 and 74: The next lemma is crucial for the p
Page 75 and 76: Two subsets S; T of an inner produc
Page 77 and 78: Classically, using (an equivalent o
Page 79 and 80: The Riesz representation theorem fo
Page 81 and 82: An operator on a Hilbert space H is
Page 83 and 84: If T is jointed, then T is an opera
Page 85 and 86: A linear mapping T between normed s

Lectures on Constructive Mathematics. - Mathematics, Algorithms ...

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