577 research outputs found

    Supersaturation for hereditary properties

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    Let F\mathcal{F} be a collection of rr-uniform hypergraphs, and let 0<p<10 < p < 1. It is known that there exists c=c(p,F)c = c(p,\mathcal{F}) such that the probability of a random rr-graph in G(n,p)G(n,p) not containing an induced subgraph from F\mathcal{F} is 2(c+o(1))(nr)2^{(-c+o(1)){n \choose r}}. Let each graph in F\mathcal{F} have at least tt vertices. We show that in fact for every ϵ>0\epsilon > 0, there exists δ=δ(ϵ,p,F)>0\delta = \delta (\epsilon, p,\mathcal{F}) > 0 such that the probability of a random rr-graph in G(n,p)G(n,p) containing less than δnt\delta n^t induced subgraphs each lying in F\mathcal{F} is at most 2(c+ϵ)(nr)2^{(-c+\epsilon){n \choose r}}. This statement is an analogue for hereditary properties of the supersaturation theorem of Erd\H{o}s and Simonovits. In our applications we answer a question of Bollob\'as and Nikiforov.Comment: 5 pages, submitted to European Journal of Combinatoric

    Strictly monotonic multidimensional sequences and stable sets in pillage games

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    Let SRnS \subset \mathbb{R}^n have size S>2n1|S| > \ell^{2^n-1}. We show that there are distinct points {x1,...,x+1}S\{x^1,..., x^{\ell+1}\} \subset S such that for each i[n]i \in [n], the coordinate sequence (xij)j=1+1(x^j_i)_{j=1}^{\ell+1} is strictly increasing, strictly decreasing, or constant, and that this bound on S|S| is best possible. This is analogous to the \erdos-Szekeres theorem on monotonic sequences in \real. We apply these results to bound the size of a stable set in a pillage game. We also prove a theorem of independent combinatorial interest. Suppose {a1,b1,...,at,bt}\{a^1,b^1,...,a^t,b^t\} is a set of 2t2t points in n\real^n such that the set of pairs of points not sharing a coordinate is precisely {{a1,b1},...,{at,bt}}\{\{a^1,b^1\},...,\{a^t,b^t\}\}. We show that t2n1t \leq 2^{n-1}, and that this bound is best possible

    Scripture and Self in Origen of Alexandria\u27s Exegetical Practice

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    In this dissertation I examine the nature of scripture and the self as presented by Origen of Alexandria. I argue that Christian scripture and the Christian self are constructed by exegetical practice; furthermore, in the case of Origen, I will demonstrate that Christian scripture and the Christian self are so closely related that it is best to speak of a scripture-self complex emerging out of his exegetical practice. I use a theory of structure as developed by William Sewell as a means to discuss both scripture and the self. As structures, scripture and the self are composed of resources and schemas that are paired together into meaningful wholes. That whole is a structure, which in turn structures other aspects of culture. However, resources and schemas are not automatically paired together. Rather, they are paired together by practices of historical agents who both shape structures and are shaped by them. With this framework in mind, I discuss the ways in which exegetical practices pair resources and schemas together into meaningful wholes. There are two initial processes, the becoming scripture of biblical texts and the becoming the self of a human person, which I trace in Heracleon, Irenaeus, and Origen. I then argue that in the case of Origen, scripture and self mutually structure one another. I call these processes the anthropomorphizing of scripture and the scripturalizing of the self. These processes result in what I call a scripture-self complex, by this term I mean that scripture cannot be what scripture is without the self being what the self is and the self cannot be what the self is without scripture being what scripture is. Key texts for my study of Origen\u27s exegetical practices are his Commentary on the Gospel according to John, On First Principles, Homilies on Jeremiah, and finally, Commentary on the Song of Songs

    Hypergraph containers

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    We develop a notion of containment for independent sets in hypergraphs. For every rr-uniform hypergraph GG, we find a relatively small collection CC of vertex subsets, such that every independent set of GG is contained within a member of CC, and no member of CC is large; the collection, which is in various respects optimal, reveals an underlying structure to the independent sets. The containers offer a straightforward and unified approach to many combinatorial questions concerned (usually implicitly) with independence. With regard to colouring, it follows that simple rr-uniform hypergraphs of average degree dd have list chromatic number at least (1/(r1)2+o(1))logrd(1/(r-1)^2 + o(1)) \log_r d. For r=2r = 2 this improves a bound due to Alon and is tight. For r3r \ge 3, previous bounds were weak but the present inequality is close to optimal. In the context of extremal graph theory, it follows that, for each \ell-uniform hypergraph HH of order kk, there is a collection CC of \ell-uniform hypergraphs of order nn each with o(nk)o(n^k) copies of HH, such that every HH-free \ell-uniform hypergraph of order nn is a subgraph of a hypergraph in CC, and logCcn1/m(H)logn\log |C| \le c n^{\ell-1/m(H)} \log n where m(H)m(H) is a standard parameter (there is a similar statement for induced subgraphs). This yields simple proofs, for example, for the number of HH-free hypergraphs, and for the sparsity theorems of Conlon-Gowers and Schacht. A slight variant yields a counting version of the K{\L}R conjecture. Likewise, for systems of linear equations the containers supply, for example, bounds on the number of solution-free sets, and the existence of solutions in sparse random subsets. Balogh, Morris and Samotij have independently obtained related results.The first author was supported by a grant from the EPSRC.This is the author accepted manuscript. The final version is available from Springer at http://dx.doi.org/10.1007/s00222-014-0562-

    Programmable Agents

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    We build deep RL agents that execute declarative programs expressed in formal language. The agents learn to ground the terms in this language in their environment, and can generalize their behavior at test time to execute new programs that refer to objects that were not referenced during training. The agents develop disentangled interpretable representations that allow them to generalize to a wide variety of zero-shot semantic tasks
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