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Eric Schmutz

Publications and source records attributed to Eric Schmutz.

10 recordsLinked to original sources

Cardinalities of $g$-difference sets

Let $\eta_{g}(n) $ be the smallest cardinality that $A\subseteq {\mathbb Z}$ can have if $A$ is a $g$-difference basis for $[n]$ (i.e, if, for each $x\in [n]$, there are {\em at least} $g$ solutions to $a_{1}-a_{2}=x$ ). We prove that the finite, non-zero limit $\lim\limits_{n\rightarrow \infty}\frac{\eta_{g}(n)}{\sqrt{n}}$ exists, answering a question of Kravitz. We also investigate a similar problem in the setting of a vector space over a finite field. Let $\alpha_g(n)$ be the largest cardinality that $A\subseteq [n]$ can have if, for all nonzero $x$, $a_{1}-a_{2}=x$ has {\em at most} $g$ solutions. We also prove that $\alpha_g(n)={\sqrt{gn}}(1+o_{g}(1))$ as $n\rightarrow\infty$.

math.CO

Periods of iterations of functions with restricted preimage sizes

We consider random mappings on n = kr nodes with preimage sizes restricted to a set of the form {0,k}, where k = k(r) is greater than 1. We prove that T, the least common multiple of the cycle lengths, and B= the product of the cycle lengths, are both asymptotically lognormal. The expected values of these random variables are also also estimated and compared with numerical results. This work is motivated, in part, by the use of these mappings as heuristic models for polynomials of the form x^k + a over the integers modulo p with p congruent to 1 mod k.

math.CO

Permutations With Equal Orders

Let $P(n)$ be the probability that two independent, uniformly random permutations of $[n]$ have the same order, and let $K(n)$ be the probability that they are in the same conjugacy class. Answering a question of Thibault Godin, we prove that $ P(n)=n^{-2+o(1)}$ and that $\lim\sup \frac{ P(n) }{ K(n) }=\infty.$

math.CO

Periods of Iterated Rational Functions over a Finite Field

Choose a random degree d poly f with coefficients in a finite field F. We estimate the ultimate period of f under compositional iteration. We also determine the joint distribution of the small cycle lengths in the graph with edges (x,f(x)), x in F. The proofs use Lagrange interpolation and the method of factorial moments.

math.NT

Representing Random Permutations as the Product of Two Involutions

An involution is a permutation that is its own inverse. Given a permutation $σ$ of $[n],$ let $\mathbf{N}_{n}(σ)$ denote the number of ways to write $σ$ as a product of two involutions of $[n].$ If we endow the symmetric groups $S_{n}$ with uniform probability measures, then the random variables ${\mathbf N}_{n}$ are asymptotically lognormal. The proof is based upon the observation that, for most permutations $σ$, $\mathbf{N}_{n}(σ)$ can be well approximated by $\mathbf{B}_{n}(σ),$ the product of the cycle lengths of $σ$. Asymptotic lognormality of $\mathbf{N}_{n}$ can therefore be deduced from Erdős and Turán's theorem that $\mathbf{B}_{n}$ is itself asymptotically lognormal.

math.CO

Part-products of $S$-restricted integer compositions

If $S$ is a cofinite set of positive integers, an "$S$-restricted composition of $n$" is a sequence of elements of $S$, denoted $\vecλ=(λ_1,λ_2,...)$, whose sum is $n$. For uniform random $S$-restricted compositions, the random variable ${\bf B}(\vecλ)=\prod_i λ_i$ is asymptotically lognormal. The proof is based upon a combinatorial technique for decomposing a composition into a sequence of smaller compositions.

math.CO

Period Lengths for Iterated Functions

For random maps, the expected value of the order (i.e. the period of the sequence of compositional iterates) is approximated asymptotically. It is much smaller than the expected value for the product of the cycle lengths.

math.CO

The Expected Size of the Rule k Dominating Set

Rule k is a localized approximation algorithm that finds a small connected dominating set in a graph. We estimate the expected size of the Rule k dominating set for the model of random unit disk graphs constructed from n random points in an s_n by s_n square region of the plane.

cs.DM

Probabilistic Analysis of Rule 2

Li and Wu proposed Rule 2, a localized approximation algorithm that attempts to find a small connected dominating set in a graph. Here we study the asymptotic performance of Rule 2 on random unit disk graphs formed from n random points in an s_n by s_n square region of the plane. If s_n is below the threshold for connectivity, then Rule 2 produces a dominating set whose expected size is O(n/(loglog n)^{3/2}). We conjecture that this bound is not optimal.

cs.DM