2,873 research outputs found

    Enumeration of self avoiding trails on a square lattice using a transfer matrix technique

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    We describe a new algebraic technique, utilising transfer matrices, for enumerating self-avoiding lattice trails on the square lattice. We have enumerated trails to 31 steps, and find increased evidence that trails are in the self-avoiding walk universality class. Assuming that trails behave like Aλnn1132A \lambda ^n n^{11 \over 32}, we find λ=2.72062±0.000006\lambda = 2.72062 \pm 0.000006 and A=1.272±0.002A = 1.272 \pm 0.002.Comment: To be published in J. Phys. A:Math Gen. Pages: 16 Format: RevTe

    Counting Planar Eulerian Orientations

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    Inspired by the paper of Bonichon, Bousquet-M\'elou, Dorbec and Pennarun, we give a system of functional equations which characterise the ordinary generating function, U(x),U(x), for the number of planar Eulerian orientations counted by edges. We also characterise the ogf A(x)A(x), for 4-valent planar Eulerian orientations counted by vertices in a similar way. The latter problem is equivalent to the 6-vertex problem on a random lattice, widely studied in mathematical physics. While unable to solve these functional equations, they immediately provide polynomial-time algorithms for computing the coefficients of the generating function. From these algorithms we have obtained 100 terms for U(x)U(x) and 90 terms for A(x).A(x). Analysis of these series suggests that they both behave as const(1μx)/log(1μx),const\cdot (1 - \mu x)/\log(1 - \mu x), where we conjecture that μ=4π\mu = 4\pi for Eulerian orientations counted by edges and μ=43π\mu=4\sqrt{3}\pi for 4-valent Eulerian orientations counted by vertices.Comment: 26 pages, 20 figure

    Series extension: Predicting approximate series coefficients from a finite number of exact coefficients

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    Given the first 20-100 coefficients of a typical generating function of the type that arises in many problems of statistical mechanics or enumerative combinatorics, we show that the method of differential approximants performs surprisingly well in predicting (approximately) subsequent coefficients. These can then be used by the ratio method to obtain improved estimates of critical parameters. In favourable cases, given only the first 20 coefficients, the next 100 coefficients are predicted with useful accuracy. More surprisingly, this is also the case when the method of differential approximants does not do a useful job in estimating the critical parameters, such as those cases in which one has stretched exponential asymptotic behaviour. Nevertheless, the coefficients are predicted with surprising accuracy. As one consequence, significant computer time can be saved in enumeration problems where several runs would normally be made, modulo different primes, and the coefficients constructed from their values modulo different primes. Another is in the checking of newly calculated coefficients. We believe that this concept of approximate series extension opens up a whole new chapter in the method of series analysis.Comment: 26 pages, 9 figures. arXiv admin note: text overlap with arXiv:1405.532
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