8,440 research outputs found

    Generalized permutation patterns - a short survey

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    An occurrence of a classical pattern p in a permutation Ļ€ is a subsequence of Ļ€ whose letters are in the same relative order (of size) as those in p. In an occurrence of a generalized pattern, some letters of that subsequence may be required to be adjacent in the permutation. Subsets of permutations characterized by the avoidanceā€”or the prescribed number of occurrencesā€” of generalized patterns exhibit connections to an enormous variety of other combinatorial structures, some of them apparently deep. We give a short overview of the state of the art for generalized patterns

    Near-Optimal Induced Universal Graphs for Bounded Degree Graphs

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    A graph UU is an induced universal graph for a family FF of graphs if every graph in FF is a vertex-induced subgraph of UU. For the family of all undirected graphs on nn vertices Alstrup, Kaplan, Thorup, and Zwick [STOC 2015] give an induced universal graph with Oā€‰ā£(2n/2)O\!\left(2^{n/2}\right) vertices, matching a lower bound by Moon [Proc. Glasgow Math. Assoc. 1965]. Let k=āŒˆD/2āŒ‰k= \lceil D/2 \rceil. Improving asymptotically on previous results by Butler [Graphs and Combinatorics 2009] and Esperet, Arnaud and Ochem [IPL 2008], we give an induced universal graph with Oā€‰ā£(k2kk!nk)O\!\left(\frac{k2^k}{k!}n^k \right) vertices for the family of graphs with nn vertices of maximum degree DD. For constant DD, Butler gives a lower bound of Ī©ā€‰ā£(nD/2)\Omega\!\left(n^{D/2}\right). For an odd constant Dā‰„3D\geq 3, Esperet et al. and Alon and Capalbo [SODA 2008] give a graph with Oā€‰ā£(nkāˆ’1D)O\!\left(n^{k-\frac{1}{D}}\right) vertices. Using their techniques for any (including constant) even values of DD gives asymptotically worse bounds than we present. For large DD, i.e. when D=Ī©(logā”3n)D = \Omega\left(\log^3 n\right), the previous best upper bound was (nāŒˆD/2āŒ‰)nO(1){n\choose\lceil D/2\rceil} n^{O(1)} due to Adjiashvili and Rotbart [ICALP 2014]. We give upper and lower bounds showing that the size is (āŒŠn/2āŒ‹āŒŠD/2āŒ‹)2Ā±O~(D){\lfloor n/2\rfloor\choose\lfloor D/2 \rfloor}2^{\pm\tilde{O}\left(\sqrt{D}\right)}. Hence the optimal size is 2O~(D)2^{\tilde{O}(D)} and our construction is within a factor of 2O~(D)2^{\tilde{O}\left(\sqrt{D}\right)} from this. The previous results were larger by at least a factor of 2Ī©(D)2^{\Omega(D)}. As a part of the above, proving a conjecture by Esperet et al., we construct an induced universal graph with 2nāˆ’12n-1 vertices for the family of graphs with max degree 22. In addition, we give results for acyclic graphs with max degree 22 and cycle graphs. Our results imply the first labeling schemes that for any DD are at most o(n)o(n) bits from optimal

    Virtuous Insightfulness

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    Insight often strikes us blind; when we arenā€™t expecting it, we suddenly see a connection that previously eluded usā€”a kind of ā€˜Aha!ā€™ experience. People with a propensity to such experiences are regarded as insightful, and insightfulness is a paradigmatic intellectual virtue. Whatā€™s not clear, however, is just what it is in virtue of which being such that these experiences tend to happen to one renders one intellectually virtuous. This paper draws from both virtue epistemology as well as empirical work on the psychology of problem solving and creativity to make some inroads in accounting for insightfulness as an intellectual virtue. Important to the view advanced is that virtuously insightful individuals manifest certain skills which both cultivate insight experiences (even if not by directly bringing them about) and enable such individuals to move in an epistemically responsible way from insight experience to epistemic endorsement
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