266,896 research outputs found

    Decompositions of edge-colored infinite complete graphs into monochromatic paths

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    An rr-edge coloring of a graph or hypergraph G=(V,E)G=(V,E) is a map c:E{0,,r1}c:E\to \{0, \dots, r-1\}. Extending results of Rado and answering questions of Rado, Gy\'arf\'as and S\'ark\"ozy we prove that (1.) the vertex set of every rr-edge colored countably infinite complete kk-uniform hypergraph can be partitioned into rr monochromatic tight paths with distinct colors (a tight path in a kk-uniform hypergraph is a sequence of distinct vertices such that every set of kk consecutive vertices forms an edge), (2.) for all natural numbers rr and kk there is a natural number MM such that the vertex set of every rr-edge colored countably infinite complete graph can be partitioned into MM monochromatic kthk^{th} powers of paths apart from a finite set (a kthk^{th} power of a path is a sequence v0,v1,v_0, v_1, \dots of distinct vertices such that 1ijk1\le|i-j| \le k implies that vivjv_iv_j is an edge), (3.) the vertex set of every 22-edge colored countably infinite complete graph can be partitioned into 44 monochromatic squares of paths, but not necessarily into 33, (4.) the vertex set of every 22-edge colored complete graph on ω1\omega_1 can be partitioned into 22 monochromatic paths with distinct colors

    The adjacency matrix of one type of graph and the Fibonacci numbers

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    Recently there is huge interest in graph theory and intensive study on computing integer powers of matrices. In this paper, we investigate relationships between one type of graph and well-known Fibonacci sequence. In this content, we consider the adjacency matrix of one type of graph with 2k (k=1,2,...) vertices. It is also known that for any positive integer r, the (i,j)th entry of A^{r} (A is the adjacency matrix of the graph) is just the number of walks from vertex i to vertex j, that use exactly k edges

    Multiple partitions, lattice paths and a Burge-Bressoud-type correspondence

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    A bijection is presented between (1): partitions with conditions fj+fj+1k1f_j+f_{j+1}\leq k-1 and f1i1 f_1\leq i-1, where fjf_j is the frequency of the part jj in the partition, and (2): sets of k1k-1 ordered partitions (n(1),n(2),...,n(k1))(n^{(1)}, n^{(2)}, ..., n^{(k-1)}) such that n(j)n+1(j)+2jn^{(j)}_\ell \geq n^{(j)}_{\ell+1} + 2j and nmj(j)j+max(ji+1,0)+2j(mj+1+...+mk1) n^{(j)}_{m_j} \geq j+ {\rm max} (j-i+1,0)+ 2j (m_{j+1}+... + m_{k-1}), where mjm_j is the number of parts in n(j)n^{(j)}. This bijection entails an elementary and constructive proof of the Andrews multiple-sum enumerating partitions with frequency conditions. A very natural relation between the k1k-1 ordered partitions and restricted paths is also presented, which reveals our bijection to be a modification of Bressoud's version of the Burge correspondence.Comment: 12 pages; minor corrections, version to appear in Discrete Mat

    Laws relating runs, long runs, and steps in gambler's ruin, with persistence in two strata

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    Define a certain gambler's ruin process \mathbf{X}_{j}, \mbox{ \ }j\ge 0, such that the increments εj:=XjXj1\varepsilon_{j}:=\mathbf{X}_{j}-\mathbf{X}_{j-1} take values ±1\pm1 and satisfy P(εj+1=1εj=1,Xj=k)=P(εj+1=1εj=1,Xj=k)=akP(\varepsilon_{j+1}=1|\varepsilon_{j}=1, |\mathbf{X}_{j}|=k)=P(\varepsilon_{j+1}=-1|\varepsilon_{j}=-1,|\mathbf{X}_{j}|=k)=a_k, all j1j\ge 1, where ak=aa_k=a if 0kf1 0\le k\le f-1, and ak=ba_k=b if fk<Nf\le k<N. Here 0<a,b<10<a, b <1 denote persistence parameters and f,NN f ,N\in \mathbb{N} with f<Nf<N. The process starts at X0=m(N,N)\mathbf{X}_0=m\in (-N,N) and terminates when Xj=N|\mathbf{X}_j|=N. Denote by RN{\cal R}'_N, UN{\cal U}'_N, and LN{\cal L}'_N, respectively, the numbers of runs, long runs, and steps in the meander portion of the gambler's ruin process. Define XN:=(LN1ab(1a)(1b)RN1(1a)(1b)UN)/NX_N:=\left ({\cal L}'_N-\frac{1-a-b}{(1-a)(1-b)}{\cal R}'_N-\frac{1}{(1-a)(1-b)}{\cal U}'_N\right )/N and let fηNf\sim\eta N for some 0<η<10<\eta <1. We show limNE{eitXN}=φ^(t)\lim_{N\to\infty} E\{e^{itX_N}\}=\hat{\varphi}(t) exists in an explicit form. We obtain a companion theorem for the last visit portion of the gambler's ruin.Comment: Presented at 8th International Conference on Lattice Path Combinatorics, Cal Poly Pomona, Aug., 2015. The 2nd version has been streamlined, with references added, including reference to a companion document with details of calculations via Mathematica. The 3rd version has 2 new figures and improved presentatio

    Single hole dynamics in the t-J model on a square lattice

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    We present quantum Monte Carlo (QMC) simulations for a single hole in a t-J model from J=0.4t to J=4t on square lattices with up to 24 x 24 sites. The lower edge of the spectrum is directly extracted from the imaginary time Green's function. In agreement with earlier calculations, we find flat bands around (0,±π)(0,\pm\pi), (±π,0)(\pm\pi,0) and the minimum of the dispersion at (±π/2,±π/2)(\pm\pi/2,\pm\pi/2). For small J both self-consistent Born approximation and series expansions give a bandwidth for the lower edge of the spectrum in agreement with the simulations, whereas for J/t > 1, only series expansions agree quantitatively with our QMC results. This band corresponds to a coherent quasiparticle. This is shown by a finite size scaling of the quasiparticle weight Z(k)Z(\vec k) that leads to a finite result in the thermodynamic limit for the considered values of J/tJ/t. The spectral function A(k,ω)A(\vec k, \omega) is obtained from the imaginary time Green's function via the maximum entropy method. Resonances above the lowest edge of the spectrum are identified, whose J-dependence is quantitatively described by string excitations up to J/t=2

    Statistics of Partial Minima

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    Motivated by multi-objective optimization, we study extrema of a set of N points independently distributed inside the d-dimensional hypercube. A point in this set is k-dominated by another point when at least k of its coordinates are larger, and is a k-minimum if it is not k-dominated by any other point. We obtain statistical properties of these partial minima using exact probabilistic methods and heuristic scaling techniques. The average number of partial minima, A, decays algebraically with the total number of points, A ~ N^{-(d-k)/k}, when 1<=k<d. Interestingly, there are k-1 distinct scaling laws characterizing the largest coordinates as the distribution P(y_j) of the jth largest coordinate, y_j, decays algebraically, P(y_j) ~ (y_j)^{-alpha_j-1}, with alpha_j=j(d-k)/(k-j) for 1<=j<=k-1. The average number of partial minima grows logarithmically, A ~ [1/(d-1)!](ln N)^{d-1}, when k=d. The full distribution of the number of minima is obtained in closed form in two-dimensions.Comment: 6 pages, 1 figur

    On the uniform generation of modular diagrams

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    In this paper we present an algorithm that generates kk-noncrossing, σ\sigma-modular diagrams with uniform probability. A diagram is a labeled graph of degree 1\le 1 over nn vertices drawn in a horizontal line with arcs (i,j)(i,j) in the upper half-plane. A kk-crossing in a diagram is a set of kk distinct arcs (i1,j1),(i2,j2),,(ik,jk)(i_1, j_1), (i_2, j_2),\ldots,(i_k, j_k) with the property i1<i2<<ik<j1<j2<<jki_1 < i_2 < \ldots < i_k < j_1 < j_2 < \ldots< j_k. A diagram without any kk-crossings is called a kk-noncrossing diagram and a stack of length σ\sigma is a maximal sequence ((i,j),(i+1,j1),,(i+(σ1),j(σ1)))((i,j),(i+1,j-1),\dots,(i+(\sigma-1),j-(\sigma-1))). A diagram is σ\sigma-modular if any arc is contained in a stack of length at least σ\sigma. Our algorithm generates after O(nk)O(n^k) preprocessing time, kk-noncrossing, σ\sigma-modular diagrams in O(n)O(n) time and space complexity.Comment: 21 pages, 7 figure
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