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Two Applications of Logic to Mathematics
Gaisi Takeuti

Paperback | 2015 | $29.95 | £24.95 | ISBN: 9780691610221
Hardcover | 2016 | $74.95 | £62.95 | ISBN: 9780691638379
148 pp. | 6 1/8 x 9 1/4
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Using set theory in the first part of his book, and proof theory in the second, Gaisi Takeuti gives us two examples of how mathematical logic can be used to obtain results previously derived in less elegant fashion by other mathematical techniques, especially analysis. In Part One, he applies Scott- Solovay's Boolean-valued models of set theory to analysis by means of complete Boolean algebras of projections. In Part Two, he develops classical analysis including complex analysis in Peano's arithmetic, showing that any arithmetical theorem proved in analytic number theory is a theorem in Peano's arithmetic. In doing so, the author applies Gentzen's cut elimination theorem.

Although the results of Part One may be regarded as straightforward consequences of the spectral theorem in function analysis, the use of Boolean- valued models makes explicit and precise analogies used by analysts to lift results from ordinary analysis to operators on a Hilbert space. Essentially expository in nature, Part Two yields a general method for showing that analytic proofs of theorems in number theory can be replaced by elementary proofs.

Originally published in 1978.

The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Table of Contents:

  • Frontmatter, pg. i
  • Preface, pg. v
  • Contents, pg. vii
  • Introduction, pg. 1
  • Introduction, pg. 5
  • Chapter 1. Boolean Valued Analysis Using Projection Algebras, pg. 6
  • Chapter 2. Boolean Valued Analysis Using Measure Algebras, pg. 51
  • References, pg. 71
  • Introduction, pg. 73
  • Chapter 1. Real Analysis, pg. 77
  • Chapter 2. Complex Analysis, pg. 114
  • References, pg. 136
  • Index, pg. 138

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