1,135 research outputs found

    Sums and Products with Smooth Numbers

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    We estimate the sizes of the sumset A + A and the productset A \cdot A in the special case that A = S (x, y), the set of positive integers n less than or equal to x, free of prime factors exceeding y.Comment: 12 page

    Upper bounds for sunflower-free sets

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    A collection of kk sets is said to form a kk-sunflower, or Δ\Delta-system, if the intersection of any two sets from the collection is the same, and we call a family of sets F\mathcal{F} sunflower-free if it contains no sunflowers. Following the recent breakthrough of Ellenberg and Gijswijt and Croot, Lev and Pach we apply the polynomial method directly to Erd\H{o}s-Szemer\'{e}di sunflower problem and prove that any sunflower-free family F\mathcal{F} of subsets of {1,2,,n}\{1,2,\dots,n\} has size at most F3nkn/3(nk)(322/3)n(1+o(1)). |\mathcal{F}|\leq3n\sum_{k\leq n/3}\binom{n}{k}\leq\left(\frac{3}{2^{2/3}}\right)^{n(1+o(1))}. We say that a set A(Z/DZ)n={1,2,,D}nA\subset(\mathbb Z/D \mathbb Z)^{n}=\{1,2,\dots,D\}^{n} for D>2D>2 is sunflower-free if every distinct triple x,y,zAx,y,z\in A there exists a coordinate ii where exactly two of xi,yi,zix_{i},y_{i},z_{i} are equal. Using a version of the polynomial method with characters χ:Z/DZC\chi:\mathbb{Z}/D\mathbb{Z}\rightarrow\mathbb{C} instead of polynomials, we show that any sunflower-free set A(Z/DZ)nA\subset(\mathbb Z/D \mathbb Z)^{n} has size AcDn |A|\leq c_{D}^{n} where cD=322/3(D1)2/3c_{D}=\frac{3}{2^{2/3}}(D-1)^{2/3}. This can be seen as making further progress on a possible approach to proving the Erd\H{o}s-Rado sunflower conjecture, which by the work of Alon, Sphilka and Umans is equivalent to proving that cDCc_{D}\leq C for some constant CC independent of DD.Comment: 5 page

    Hardness of Exact Distance Queries in Sparse Graphs Through Hub Labeling

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    A distance labeling scheme is an assignment of bit-labels to the vertices of an undirected, unweighted graph such that the distance between any pair of vertices can be decoded solely from their labels. An important class of distance labeling schemes is that of hub labelings, where a node vGv \in G stores its distance to the so-called hubs SvVS_v \subseteq V, chosen so that for any u,vVu,v \in V there is wSuSvw \in S_u \cap S_v belonging to some shortest uvuv path. Notice that for most existing graph classes, the best distance labelling constructions existing use at some point a hub labeling scheme at least as a key building block. Our interest lies in hub labelings of sparse graphs, i.e., those with E(G)=O(n)|E(G)| = O(n), for which we show a lowerbound of n2O(logn)\frac{n}{2^{O(\sqrt{\log n})}} for the average size of the hubsets. Additionally, we show a hub-labeling construction for sparse graphs of average size O(nRS(n)c)O(\frac{n}{RS(n)^{c}}) for some 0<c<10 < c < 1, where RS(n)RS(n) is the so-called Ruzsa-Szemer{\'e}di function, linked to structure of induced matchings in dense graphs. This implies that further improving the lower bound on hub labeling size to n2(logn)o(1)\frac{n}{2^{(\log n)^{o(1)}}} would require a breakthrough in the study of lower bounds on RS(n)RS(n), which have resisted substantial improvement in the last 70 years. For general distance labeling of sparse graphs, we show a lowerbound of 12O(logn)SumIndex(n)\frac{1}{2^{O(\sqrt{\log n})}} SumIndex(n), where SumIndex(n)SumIndex(n) is the communication complexity of the Sum-Index problem over ZnZ_n. Our results suggest that the best achievable hub-label size and distance-label size in sparse graphs may be Θ(n2(logn)c)\Theta(\frac{n}{2^{(\log n)^c}}) for some 0<c<10<c < 1
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