20 research outputs found

    Local resilience of an almost spanning kk-cycle in random graphs

    Full text link
    The famous P\'{o}sa-Seymour conjecture, confirmed in 1998 by Koml\'{o}s, S\'{a}rk\"{o}zy, and Szemer\'{e}di, states that for any k2k \geq 2, every graph on nn vertices with minimum degree kn/(k+1)kn/(k + 1) contains the kk-th power of a Hamilton cycle. We extend this result to a sparse random setting. We show that for every k2k \geq 2 there exists C>0C > 0 such that if pC(logn/n)1/kp \geq C(\log n/n)^{1/k} then w.h.p. every subgraph of a random graph Gn,pG_{n, p} with minimum degree at least (k/(k+1)+o(1))np(k/(k + 1) + o(1))np, contains the kk-th power of a cycle on at least (1o(1))n(1 - o(1))n vertices, improving upon the recent results of Noever and Steger for k=2k = 2, as well as Allen et al. for k3k \geq 3. Our result is almost best possible in three ways: for pn1/kp \ll n^{-1/k} the random graph Gn,pG_{n, p} w.h.p. does not contain the kk-th power of any long cycle; there exist subgraphs of Gn,pG_{n, p} with minimum degree (k/(k+1)+o(1))np(k/(k + 1) + o(1))np and Ω(p2)\Omega(p^{-2}) vertices not belonging to triangles; there exist subgraphs of Gn,pG_{n, p} with minimum degree (k/(k+1)o(1))np(k/(k + 1) - o(1))np which do not contain the kk-th power of a cycle on (1o(1))n(1 - o(1))n vertices.Comment: 24 pages; small updates to the paper after anonymous reviewers' report

    Monochromatic cycle covers in random graphs

    Full text link
    A classic result of Erd\H{o}s, Gy\'arf\'as and Pyber states that for every coloring of the edges of KnK_n with rr colors, there is a cover of its vertex set by at most f(r)=O(r2logr)f(r) = O(r^2 \log r) vertex-disjoint monochromatic cycles. In particular, the minimum number of such covering cycles does not depend on the size of KnK_n but only on the number of colors. We initiate the study of this phenomena in the case where KnK_n is replaced by the random graph G(n,p)\mathcal G(n,p). Given a fixed integer rr and p=p(n)n1/r+εp =p(n) \ge n^{-1/r + \varepsilon}, we show that with high probability the random graph GG(n,p)G \sim \mathcal G(n,p) has the property that for every rr-coloring of the edges of GG, there is a collection of f(r)=O(r8logr)f'(r) = O(r^8 \log r) monochromatic cycles covering all the vertices of GG. Our bound on pp is close to optimal in the following sense: if p(logn/n)1/rp\ll (\log n/n)^{1/r}, then with high probability there are colorings of GG(n,p)G\sim\mathcal G(n,p) such that the number of monochromatic cycles needed to cover all vertices of GG grows with nn.Comment: 24 pages, 1 figure (minor changes, added figure

    Almost-spanning universality in random graphs (Extended abstract)

    Get PDF
    A graph G is said to be ℋ(n, Δ)-universal if it contains every graph on n vertices with maximum degree at most Δ. It is known that for any ε > 0 and any natural number Δ there exists c > 0 such that the random graph G(n, p) is asymptotically almost surely ℋ((1 - ε)n, Δ)-universal for p ≥ c(log n/n)^(1/Δ). Bypassing this natural boundary Δ ≥ 3, we show that for the same conclusion holds when [equation; see abstract in PDF for details]
    corecore