By Andrew Granville, Zeév Rudnick
Written for graduate scholars and researchers alike, this set of lectures presents a based creation to the concept that of equidistribution in quantity conception. this idea is of turning out to be significance in lots of components, together with cryptography, zeros of L-functions, Heegner issues, major quantity concept, the idea of quadratic types, and the mathematics facets of quantum chaos.;
The quantity brings jointly major researchers from a variety of fields, whose available displays display attention-grabbing hyperlinks among possible disparate parts.
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Additional info for Equidistribution in Number Theory: An Introduction
Let m ∈ N, θ ∈ Um (= Z×m ) and, as before, let t be the multiplicative order of θ modulo m. Denote by Dt the discrepancy of the set of triples θy θ xy θx , , m m m of fractional parts as x, y = 1, 2, . . , t. We have the following result. 1. Let ε > 0. Then Dt ≪ t−11/16 m5/8+ε , ε where, as indicated, the implied constant may depend on ε. Since the bound Dt ≤ 1 is trivial, the above theorem is non-trivial if t > m10/11+ε . In case m = p is prime, recall we had a non-trivial bound in a much wider range.
This completes the proof of the proposition. One way of using Proposition 3 is to take P to be the set of primes below z where z is suitably small so that the error term arising from the |rd |’s is negligible. If the numbers a in A are not too large, then there cannot be too many primes larger than z that divide a, and so Proposition 3 furnishes information about ω(a). Note that we used precisely such an argument in deducing Theorem 1 from Proposition 2 . In this manner, Proposition 3 may be used to prove the Erd˝os-Kac theorem for many interesting sequences of integers.
Cambridge, Cambridge University Press. Tur´an, P. (1934) On a theorem of Hardy and Ramanujan, J. London Math. Soc. 9, 274–276. UNIFORM DISTRIBUTION, EXPONENTIAL SUMS, AND CRYPTOGRAPHY John B. Friedlander University of Toronto In these notes we discuss various sequences of numbers which are motivated by cryptographic considerations. This suggests the study of their uniform distribution and, in turn, the bounding of relevant exponential sums. Several of the bounds we give have since been quantitatively sharpened, by Garaev (Garaev, 2005) and, spectacularly so, in recent work of Bourgain (Bourgain, 2004; Bourgain, 2005).
Equidistribution in Number Theory: An Introduction by Andrew Granville, Zeév Rudnick