1,254 research outputs found

    Arithmetic progressions of cycles in outer-planar graphs

    Get PDF
    AbstractA question of Erdős asks if every graph with minimum degree 3 must contain a pair of cycles whose lengths differ by 1 or 2. Some recent work of Häggkvist and Scott (see Arithmetic progressions of cycles in graphs, preprint), whilst proving this, also shows that minimum degree 500k2 guarantees the existence of cycles whose lengths are m,m+2,m+4,…,m+2k for some m—an arithmetic progression of cycles. In like vein, we prove that an outer-planar graph of order n, with bounded internal face size, and outer face a cycle, must contain a sequence of cycles whose lengths form an arithmetic progression of length exp((clogn)1/3−loglogn). Using this we give an answer for outer-planar graphs to a question of Erdős concerning the number of different sets which can be achieved as cycle spectra

    Cycle lengths in sparse graphs

    Full text link
    Let C(G) denote the set of lengths of cycles in a graph G. In the first part of this paper, we study the minimum possible value of |C(G)| over all graphs G of average degree d and girth g. Erdos conjectured that |C(G)| =\Omega(d^{\lfloor (g-1)/2\rfloor}) for all such graphs, and we prove this conjecture. In particular, the longest cycle in a graph of average degree d and girth g has length \Omega(d^{\lfloor (g-1)/2\rfloor}). The study of this problem was initiated by Ore in 1967 and our result improves all previously known lower bounds on the length of the longest cycle. Moreover, our bound cannot be improved in general, since known constructions of d-regular Moore Graphs of girth g have roughly that many vertices. We also show that \Omega(d^{\lfloor (g-1)/2\rfloor}) is a lower bound for the number of odd cycle lengths in a graph of chromatic number d and girth g. Further results are obtained for the number of cycle lengths in H-free graphs of average degree d. In the second part of the paper, motivated by the conjecture of Erdos and Gyarfas that every graph of minimum degree at least three contains a cycle of length a power of two, we prove a general theorem which gives an upper bound on the average degree of an n-vertex graph with no cycle of even length in a prescribed infinite sequence of integers. For many sequences, including the powers of two, our theorem gives the upper bound e^{O(\log^* n)} on the average degree of graph of order n with no cycle of length in the sequence, where \log^* n is the number of times the binary logarithm must be applied to n to get a number which is at mos

    Cycles with consecutive odd lengths

    Full text link
    It is proved that there exists an absolute constant c > 0 such that for every natural number k, every non-bipartite 2-connected graph with average degree at least ck contains k cycles with consecutive odd lengths. This implies the existence of the absolute constant d > 0 that every non-bipartite 2-connected graph with minimum degree at least dk contains cycles of all lengths modulo k, thus providing an answer (in a strong form) to a question of Thomassen. Both results are sharp up to the constant factors.Comment: 7 page

    Popular progression differences in vector spaces II

    Full text link
    Green used an arithmetic analogue of Szemer\'edi's celebrated regularity lemma to prove the following strengthening of Roth's theorem in vector spaces. For every α>0\alpha>0, β<α3\beta<\alpha^3, and prime number pp, there is a least positive integer np(α,β)n_p(\alpha,\beta) such that if nnp(α,β)n \geq n_p(\alpha,\beta), then for every subset of Fpn\mathbb{F}_p^n of density at least α\alpha there is a nonzero dd for which the density of three-term arithmetic progressions with common difference dd is at least β\beta. We determine for p19p \geq 19 the tower height of np(α,β)n_p(\alpha,\beta) up to an absolute constant factor and an additive term depending only on pp. In particular, if we want half the random bound (so β=α3/2\beta=\alpha^3/2), then the dimension nn required is a tower of twos of height Θ((logp)loglog(1/α))\Theta \left((\log p) \log \log (1/\alpha)\right). It turns out that the tower height in general takes on a different form in several different regions of α\alpha and β\beta, and different arguments are used both in the upper and lower bounds to handle these cases.Comment: 34 pages including appendi
    corecore