By Harold G. Diamond

ISBN-10: 0511438656

ISBN-13: 9780511438653

ISBN-10: 0521894875

ISBN-13: 9780521894876

As likelihood and combinatorics have penetrated the material of mathematical job, sieve tools became extra flexible and complex and lately have performed a component in essentially the most astonishing mathematical discoveries. approximately 100 years have handed because Viggo Brun invented his recognized sieve, and using sieve tools is consistently evolving. Many arithmetical investigations come across a combinatorial challenge that calls for a sieving argument, and this tract deals a latest and trustworthy consultant in such occasions. the idea of upper dimensional sieves is carefully explored, and examples are supplied all through. A Mathematica® software program package deal for sieve-theoretical calculations is supplied at the authors' web site. To additional profit readers, the Appendix describes tools for computing sieve capabilities.

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**Extra info for A Higher-Dimensional Sieve Method: With Procedures for Computing Sieve Functions**

**Example text**

2. 3 Notes on Chapter 2 See [Sel47] for the original account of A. Selberg's sieve method, also [Sel91]. Here we have followed the presentation in [HR74], including introduction of the parameter £. 9 in [BaD04]. 2), and his method is often referred to as the A2-method. Simple and elegant as his approach is, the estimation of the sum G presents, as we shall see, some technical problems when studied on the basis of O,(K). Selberg developed also a weighted form of the A2 method (described in [Sel91]), and this has since been generalized, refined, and extended in [H-B97, HoTs06], and notably, in [GPY].

6) in a more general form that we shall need at the next stage. 2. 6) satisfies £ > z, and that q is a natural number such that (q,P(z)) = 1. Then, writing v = (logf)/logz (so that v > 1), q d\P(z) d

14) together imply that the product p>t converges and equals 1 + 0 ^ ( 1 / log t). 13). 7 is complete.

### A Higher-Dimensional Sieve Method: With Procedures for Computing Sieve Functions by Harold G. Diamond

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