865 research outputs found

    Long zero-free sequences in finite cyclic groups

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    A sequence in an additively written abelian group is called zero-free if each of its nonempty subsequences has sum different from the zero element of the group. The article determines the structure of the zero-free sequences with lengths greater than n/2n/2 in the additive group \Zn/ of integers modulo nn. The main result states that for each zero-free sequence (ai)i=1ℓ(a_i)_{i=1}^\ell of length ℓ>n/2\ell>n/2 in \Zn/ there is an integer gg coprime to nn such that if gaiˉ\bar{ga_i} denotes the least positive integer in the congruence class gaiga_i (modulo nn), then Σi=1ℓgaiˉ<n\Sigma_{i=1}^\ell\bar{ga_i}<n. The answers to a number of frequently asked zero-sum questions for cyclic groups follow as immediate consequences. Among other applications, best possible lower bounds are established for the maximum multiplicity of a term in a zero-free sequence with length greater than n/2n/2, as well as for the maximum multiplicity of a generator. The approach is combinatorial and does not appeal to previously known nontrivial facts.Comment: 13 page

    A Study on Integer Additive Set-Graceful Graphs

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    A set-labeling of a graph GG is an injective function f:V(G)β†’P(X)f:V(G)\to \mathcal{P}(X), where XX is a finite set and a set-indexer of GG is a set-labeling such that the induced function fβŠ•:E(G)β†’P(X)βˆ’{βˆ…}f^{\oplus}:E(G)\rightarrow \mathcal{P}(X)-\{\emptyset\} defined by fβŠ•(uv)=f(u)βŠ•f(v)f^{\oplus}(uv) = f(u){\oplus}f(v) for every uv∈E(G)uv{\in} E(G) is also injective. An integer additive set-labeling is an injective function f:V(G)β†’P(N0)f:V(G)\rightarrow \mathcal{P}(\mathbb{N}_0), N0\mathbb{N}_0 is the set of all non-negative integers and an integer additive set-indexer is an integer additive set-labeling such that the induced function f+:E(G)β†’P(N0)f^+:E(G) \rightarrow \mathcal{P}(\mathbb{N}_0) defined by f+(uv)=f(u)+f(v)f^+ (uv) = f(u)+ f(v) is also injective. In this paper, we extend the concepts of set-graceful labeling to integer additive set-labelings of graphs and provide some results on them.Comment: 11 pages, submitted to JARP

    Most Subsets are Balanced in Finite Groups

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    The sumset is one of the most basic and central objects in additive number theory. Many of the most important problems (such as Goldbach's conjecture and Fermat's Last theorem) can be formulated in terms of the sumset S+S={x+y:x,y∈S}S + S = \{x+y : x,y\in S\} of a set of integers SS. A finite set of integers AA is sum-dominated if ∣A+A∣>∣Aβˆ’A∣|A+A| > |A-A|. Though it was believed that the percentage of subsets of {0,...,n}\{0,...,n\} that are sum-dominated tends to zero, in 2006 Martin and O'Bryant proved a very small positive percentage are sum-dominated if the sets are chosen uniformly at random (through work of Zhao we know this percentage is approximately 4.5β‹…10βˆ’44.5 \cdot 10^{-4}). While most sets are difference-dominated in the integer case, this is not the case when we take subsets of many finite groups. We show that if we take subsets of larger and larger finite groups uniformly at random, then not only does the probability of a set being sum-dominated tend to zero but the probability that ∣A+A∣=∣Aβˆ’A∣|A+A|=|A-A| tends to one, and hence a typical set is balanced in this case. The cause of this marked difference in behavior is that subsets of {0,...,n}\{0,..., n\} have a fringe, whereas finite groups do not. We end with a detailed analysis of dihedral groups, where the results are in striking contrast to what occurs for subsets of integers.Comment: Version 2.0, 11 pages, 2 figure

    When almost all sets are difference dominated

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    We investigate the relationship between the sizes of the sum and difference sets attached to a subset of {0,1,...,N}, chosen randomly according to a binomial model with parameter p(N), with N^{-1} = o(p(N)). We show that the random subset is almost surely difference dominated, as N --> oo, for any choice of p(N) tending to zero, thus confirming a conjecture of Martin and O'Bryant. The proofs use recent strong concentration results. Furthermore, we exhibit a threshold phenomenon regarding the ratio of the size of the difference- to the sumset. If p(N) = o(N^{-1/2}) then almost all sums and differences in the random subset are almost surely distinct, and in particular the difference set is almost surely about twice as large as the sumset. If N^{-1/2} = o(p(N)) then both the sum and difference sets almost surely have size (2N+1) - O(p(N)^{-2}), and so the ratio in question is almost surely very close to one. If p(N) = c N^{-1/2} then as c increases from zero to infinity (i.e., as the threshold is crossed), the same ratio almost surely decreases continuously from two to one according to an explicitly given function of c. We also extend our results to the comparison of the generalized difference sets attached to an arbitrary pair of binary linear forms. For certain pairs of forms f and g, we show that there in fact exists a sharp threshold at c_{f,g} N^{-1/2}, for some computable constant c_{f,g}, such that one form almost surely dominates below the threshold, and the other almost surely above it. The heart of our approach involves using different tools to obtain strong concentration of the sizes of the sum and difference sets about their mean values, for various ranges of the parameter p.Comment: Version 2.1. 24 pages. Fixed a few typos, updated reference
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