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Pinsky - Problems from the discrete to the continuous: probability, number theory, graph theory, and combinatorics

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Pinsky Problems from the discrete to the continuous: probability, number theory, graph theory, and combinatorics
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Problems from the discrete to the continuous: probability, number theory, graph theory, and combinatorics: summary, description and annotation

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Partitions With Restricted Summands or The Money Changing Problem -- The Asymptotic Density of Relatively Prime Pairs and of Square-Free Numbers -- A One-Dimensional Probabilistic Packing Problem -- The Arcsine Laws for the One-Dimensional Simple Symmetric Random Walk -- The Distribution of Cycles in Random Permutations -- Chebyshevs Theorem on the Asymptotic Density of the Primes -- Mertens Theorems on the Asymptotic Behavior of the Primes -- The Hardy-Ramanujan Theorem on the Number of Distinct Prime Divisors -- The Largest Clique in a Random Graph and Applications to Tampering Detection and Ramsey Theory -- The Phase Transition Concerning the Giant Component in a Sparse Random Graph-a Theorem of Erds and Rnyi.;The primary intent of the book is to introduce an array of beautiful problems in a variety of subjects quickly, pithily and completely rigorously to graduate students and advanced undergraduates. The book takes a number of specific problems and solves them, the needed tools developed along the way in the context of the particular problems. It treats a mlange of topics from combinatorial probability theory, number theory, random graph theory and combinatorics. The problems in this book involve the asymptotic analysis of a discrete construct as some natural parameter of the system tends to infinity. Besides bridging discrete mathematics and mathematical analysis, the book makes a modest attempt at bridging disciplines. The problems were selected with an eye toward accessibility to a wide audience, including advanced undergraduate students. The book could be used for a seminar course in which students present the lectures.

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Springer International Publishing Switzerland 2014
Ross G. Pinsky Problems from the Discrete to the Continuous Universitext 10.1007/978-3-319-07965-3_1
1. Partitions with Restricted Summands or the Money Changing Problem
Ross G. Pinsky 1
(1)
Department of Mathematics, Technion-Israel Institute of Technology, Haifa, Israel
Imagine a country with coins of denominations 5 cents, 13 cents, and 27 cents. How many ways can you make change for $51,419.48? That is, how many solutions ( b 1, b 2, b 3) are there to the equation with the restriction that b 1 b 2 b 3 be nonnegative integers This is a - photo 1 , with the restriction that b 1, b 2, b 3 be nonnegative integers? This is a specific case of the following general problem. Fix m distinct, positive integers Count the number of solutions b 1 b m with integral entries to the - photo 2 . Count the number of solutions ( b 1,, b m ) with integral entries to the equation
11 A partition of n is a sequence of integers x 1 x k where k is a - photo 3
(1.1)
A partition of n is a sequence of integers ( x 1,, x k ), where k is a positive integer, such that
Let P n denote the number of different partitions of n The problem of - photo 4
Let P n denote the number of different partitions of n . The problem of obtaining an asymptotic formula for P n is celebrated and very difficult. It was solved in 1918 by G.H. Hardy and S. Ramanujan, who proved that
Now consider partitions of n where we restrict the values of the summands x i - photo 5
Now consider partitions of n where we restrict the values of the summands x i above to the set Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 6 . Denote the number of such restricted partitions by Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 7 . A moments thought reveals that the number of solutions to () is Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 8 .
Does there exist a solution to () has a solution ( b 1,, b m ) with integral entries if and only if gcd( a 1,, a m )=1, and we will give a precise asymptotic estimate for the number of such solutions for large n .
Theorem 1.1.
Let m 2 and let Picture 9 be distinct, positive integers. Assume that the greatest common divisor of Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 10 is 1: gcd(a 1 ,,a m ) = 1. Then for all sufficiently large n, there exists at least one integral solution to (). Furthermore, the number Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 11 of such solutions satisfies
12 Remark In particular we see not surprisingly that for fixed m and - photo 12
(1.2)
Remark.
In particular, we see (not surprisingly) that for fixed m and sufficiently large n , the smaller the Picture 13 are, the more solutions there are. We also see that given m 1 and Picture 14 , and given m 2 and Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 15 , with m 2> m 1, then for sufficiently large n there will be more solutions for the latter set of parameters.
Proof.
We will prove the asymptotic estimate in () holds with h n in place of Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 16 . We define the generating function of Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 17 :
Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 18
(1.3)
A simple, rough estimate shows that Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 19 , from which it follows that the power series on the right hand side of () converges for| x |<1. See Exercise 1.1. It turns out that we can exhibit H explicitly. We demonstrate this for the case m =2, from which the general case will become clear.
For k =1,2, we have
and the series converges absolutely for x lt1 Thus 14 A little - photo 20
and the series converges absolutely for| x |<1. Thus,
Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 21
(1.4)
A little thought now reveals that on the right hand side of (). So Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 22 . Clearly, the same argument works for all m ; thus we conclude that
15 We now begin an analysis of H as given in its closed form in - photo 23
(1.5)
We now begin an analysis of H , as given in its closed form in (). Consider the polynomial
Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 24
For each k , the roots of Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 25 are the a k th roots of unity: Problems from the discrete to the continuous probability number theory graph theory and combinatorics - image 26
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