32,651 research outputs found

    On the structure of dense graphs, and other extremal problems

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    Extremal combinatorics is an area of mathematics populated by problems that are easy to state, yet often difficult to resolve. The typical question in this field is the following: What is the maximum or minimum size of a collection of finite objects (e.g., graphs, finite families of sets) subject to some set of constraints? Despite its apparent simplicity, this question has led to a rather rich body of work. This dissertation consists of several new results in this field.The first two chapters concern structural results for dense graphs, thus justifying the first part of my title. In the first chapter, we prove a stability result for edge-maximal graphs without complete subgraphs of fixed size, answering questions of Tyomkyn and Uzzell. The contents of this chapter are based on joint work with Kamil Popielarz and Julian Sahasrabudhe.The second chapter is about the interplay between minimum degree and chromatic number in graphs which forbid a specific set of `small\u27 graphs as subgraphs. We determine the structure of dense graphs which forbid triangles and cycles of length five. A particular consequence of our work is that such graphs are 3-colorable. This answers questions of Messuti and Schacht, and Oberkampf and Schacht. This chapter is based on joint work with Shoham Letzter.Chapter 3 departs from undirected graphs and enters the domain of directed graphs. Specifically, we address the connection between connectivity and linkedness in tournaments with large minimum out-degree. Making progress on a conjecture of Pokrovskiy, we show that, for any positive integer kk, any 4k4k-connected tournament with large enough minimum out-degree is kk-linked. This chapter is based on joint work with Ant{\\u27o}nio Gir{\~a}o.ArrayThe final chapter leaves the world of graphs entirely and examines a problem in finite set systems.More precisely, we examine an extremal problem on a family of finite sets involving constraints on the possible intersectionsizes these sets may have. Such problems have a long history in extremal combinatorics. In this chapter, we are interested in the maximum number of disjoint pairs a family of sets can have under various restrictions on intersection sizes. We obtain several new results in this direction. The contents of this chapter are based on joint work with Ant{\\u27o}nio Gir{\~a}o

    Supersaturation and stability for forbidden subposet problems

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    We address a supersaturation problem in the context of forbidden subposets. A family F\mathcal{F} of sets is said to contain the poset PP if there is an injection i:PFi:P \rightarrow \mathcal{F} such that pPqp \le_P q implies i(p)i(q)i(p) \subset i (q). The poset on four elements a,b,c,da,b,c,d with a,bc,da,b \le c,d is called butterfly. The maximum size of a family F2[n]\mathcal{F} \subseteq 2^{[n]} that does not contain a butterfly is Σ(n,2)=(nn/2)+(nn/2+1)\Sigma(n,2)=\binom{n}{\lfloor n/2 \rfloor}+\binom{n}{\lfloor n/2 \rfloor+1} as proved by De Bonis, Katona, and Swanepoel. We prove that if F2[n]\mathcal{F} \subseteq 2^{[n]} contains Σ(n,2)+E\Sigma(n,2)+E sets, then it has to contain at least (1o(1))E(n/2+1)(n/22)(1-o(1))E(\lceil n/2 \rceil +1)\binom{\lceil n/2\rceil}{2} copies of the butterfly provided E2n1εE\le 2^{n^{1-\varepsilon}} for some positive ε\varepsilon. We show by a construction that this is asymptotically tight and for small values of EE we show that the minimum number of butterflies contained in F\mathcal{F} is exactly E(n/2+1)(n/22)E(\lceil n/2 \rceil +1)\binom{\lceil n/2\rceil}{2}

    Some New Bounds For Cover-Free Families Through Biclique Cover

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    An (r,w;d)(r,w;d) cover-free family (CFF)(CFF) is a family of subsets of a finite set such that the intersection of any rr members of the family contains at least dd elements that are not in the union of any other ww members. The minimum number of elements for which there exists an (r,w;d)CFF(r,w;d)-CFF with tt blocks is denoted by N((r,w;d),t)N((r,w;d),t). In this paper, we show that the value of N((r,w;d),t)N((r,w;d),t) is equal to the dd-biclique covering number of the bipartite graph It(r,w)I_t(r,w) whose vertices are all ww- and rr-subsets of a tt-element set, where a ww-subset is adjacent to an rr-subset if their intersection is empty. Next, we introduce some new bounds for N((r,w;d),t)N((r,w;d),t). For instance, we show that for rwr\geq w and r2r\geq 2 N((r,w;1),t)c(r+ww+1)+(r+w1w+1)+3(r+w4w2)logrlog(tw+1), N((r,w;1),t) \geq c{{r+w\choose w+1}+{r+w-1 \choose w+1}+ 3 {r+w-4 \choose w-2} \over \log r} \log (t-w+1), where cc is a constant satisfies the well-known bound N((r,1;1),t)cr2logrlogtN((r,1;1),t)\geq c\frac{r^2}{\log r}\log t. Also, we determine the exact value of N((r,w;d),t)N((r,w;d),t) for some values of dd. Finally, we show that N((1,1;d),4d1)=4d1N((1,1;d),4d-1)=4d-1 whenever there exists a Hadamard matrix of order 4d

    A Special Class of Almost Disjoint Families

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    The collection of branches (maximal linearly ordered sets of nodes) of the tree <ωω{}^{<\omega}\omega (ordered by inclusion) forms an almost disjoint family (of sets of nodes). This family is not maximal -- for example, any level of the tree is almost disjoint from all of the branches. How many sets must be added to the family of branches to make it maximal? This question leads to a series of definitions and results: a set of nodes is {\it off-branch} if it is almost disjoint from every branch in the tree; an {\it off-branch family} is an almost disjoint family of off-branch sets; {\frak o}=\min\{|{\Cal O}|: {\Cal O} is a maximal off-branch family}\}. Results concerning o\frak o include: (in ZFC) ao{\frak a}\leq{\frak o}, and (consistent with ZFC) o\frak o is not equal to any of the standard small cardinal invariants b\frak b, a\frak a, d\frak d, or c=2ω{\frak c}=2^\omega. Most of these consistency results use standard forcing notions -- for example, Con(b=a<o=d=c)Con({\frak b}={\frak a}<{\frak o}={\frak d}={\frak c}) comes from starting with a model of ZFC+CHZFC+CH and adding ω2\omega_2-many Cohen reals. Many interesting open questions remain, though -- for example, Con(o<d)Con({\frak o}<{\frak d})

    A coding problem for pairs of subsets

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    Let XX be an nn--element finite set, 0<kn/20<k\leq n/2 an integer. Suppose that {A1,A2}\{A_1,A_2\} and {B1,B2}\{B_1,B_2\} are pairs of disjoint kk-element subsets of XX (that is, A1=A2=B1=B2=k|A_1|=|A_2|=|B_1|=|B_2|=k, A1A2=A_1\cap A_2=\emptyset, B1B2=B_1\cap B_2=\emptyset). Define the distance of these pairs by d({A1,A2},{B1,B2})=min{A1B1+A2B2,A1B2+A2B1}d(\{A_1,A_2\} ,\{B_1,B_2\})=\min \{|A_1-B_1|+|A_2-B_2|, |A_1-B_2|+|A_2-B_1|\} . This is the minimum number of elements of A1A2A_1\cup A_2 one has to move to obtain the other pair {B1,B2}\{B_1,B_2\}. Let C(n,k,d)C(n,k,d) be the maximum size of a family of pairs of disjoint subsets, such that the distance of any two pairs is at least dd. Here we establish a conjecture of Brightwell and Katona concerning an asymptotic formula for C(n,k,d)C(n,k,d) for k,dk,d are fixed and nn\to \infty. Also, we find the exact value of C(n,k,d)C(n,k,d) in an infinite number of cases, by using special difference sets of integers. Finally, the questions discussed above are put into a more general context and a number of coding theory type problems are proposed.Comment: 11 pages (minor changes, and new citations added

    Core congestion is inherent in hyperbolic networks

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    We investigate the impact the negative curvature has on the traffic congestion in large-scale networks. We prove that every Gromov hyperbolic network GG admits a core, thus answering in the positive a conjecture by Jonckheere, Lou, Bonahon, and Baryshnikov, Internet Mathematics, 7 (2011) which is based on the experimental observation by Narayan and Saniee, Physical Review E, 84 (2011) that real-world networks with small hyperbolicity have a core congestion. Namely, we prove that for every subset XX of vertices of a δ\delta-hyperbolic graph GG there exists a vertex mm of GG such that the disk D(m,4δ)D(m,4 \delta) of radius 4δ4 \delta centered at mm intercepts at least one half of the total flow between all pairs of vertices of XX, where the flow between two vertices x,yXx,y\in X is carried by geodesic (or quasi-geodesic) (x,y)(x,y)-paths. A set SS intercepts the flow between two nodes xx and yy if SS intersect every shortest path between xx and yy. Differently from what was conjectured by Jonckheere et al., we show that mm is not (and cannot be) the center of mass of XX but is a node close to the median of XX in the so-called injective hull of XX. In case of non-uniform traffic between nodes of XX (in this case, the unit flow exists only between certain pairs of nodes of XX defined by a commodity graph RR), we prove a primal-dual result showing that for any ρ>5δ\rho>5\delta the size of a ρ\rho-multi-core (i.e., the number of disks of radius ρ\rho) intercepting all pairs of RR is upper bounded by the maximum number of pairwise (ρ3δ)(\rho-3\delta)-apart pairs of RR
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