English
Related papers

Related papers: Length and area generating functions for height-re…

200 papers

In [math-ph/0107005] we have proven that the generating function for self-avoiding branched polymers in D+2 continuum dimensions is proportional to the pressure of the hard-core continuum gas at negative activity in D dimensions. This…

Mathematical Physics · Physics 2016-09-07 David C. Brydges , John Z. Imbrie

In this paper we introduce 1-$D$ and 2-$D$ discrete models for the dynamic granular matter formation process in the form of a system of difference equations. This approach allows us to differentiate between the influx of the rolling layer…

Numerical Analysis · Mathematics 2013-12-10 Alexander Khapalov , Sergey Lapin

We calculate the number of humps and peaks in Motzkin paths with a given height, and calculate the number of standard Young tableaux (SYTs) in a $(2,1)$-hook with the difference of the first two parts fixed, which refine Regev's results in…

Combinatorics · Mathematics 2025-01-08 Xiaomei Chen

We continue the work of Eriksen, Freij, and Wastlund [3], who study derangements that descend in blocks of prescribed lengths. We generalize their work to derangements that ascend in some blocks and descend in others. In particular, we…

Combinatorics · Mathematics 2009-08-29 Jacob Steinhardt

Variational integrators are derived for structure-preserving simulation of stochastic Hamiltonian systems with a certain type of multiplicative noise arising in geometric mechanics. The derivation is based on a stochastic discrete…

Numerical Analysis · Mathematics 2019-07-31 Darryl D. Holm , Tomasz M. Tyranowski

In this paper we present a discontinuous Galerkin finite element method for the solution of the transient Stokes equations on moving domains. For the discretization we use an interior penalty Galerkin approach in space, and an upwind…

Numerical Analysis · Mathematics 2022-05-31 Elias Karabelas , Martin Neumüller

The recently developed theory of extended generating functions of symplectic maps are combined with methods to prove invertibility via high-order Taylor model methods to obtain rigorous lower bounds for the domains of definition of…

Dynamical Systems · Mathematics 2025-04-29 B. Erdelyi , J. Hoefkens , M. Berz

Given a compactly supported Hamiltonian diffeomorphism of the plane, one can define a generating function for it. In this paper, we show how generating functions retain information about the braid type of collections of fixed points of…

Symplectic Geometry · Mathematics 2025-10-01 Francesco Morabito

A dispersed Dyck path (DDP) of length n is a lattice path on $N\times N$ from (0,0) to (n,0) in which the following steps are allowed: "up" (x, y) $\to$ (x+1, y+1); "down" (x, y) $\to$ (x+1, y-1); and "right" (x,0) $\to$ (x+1,0). An ascent…

Combinatorics · Mathematics 2016-03-07 Kairi Kangro , Mozhgan Pourmoradnasseri , Dirk Oliver Theis

Large deviations for additive path functionals of stochastic processes have attracted significant research interest, in particular in the context of stochastic particle systems and statistical physics. Efficient numerical `cloning'…

Probability · Mathematics 2021-07-21 Letizia Angeli , Stefan Grosskinsky , Adam M. Johansen

We introduce an equivalence relation on the set of Dyck paths and some operations on them. We determine a formula for the cardinality of those equivalence classes and use this information to obtain a combinatorial formula for the number of…

Combinatorics · Mathematics 2015-05-11 Stefano Capparelli , Alberto Del Fra

We present an algorithm to compute the geometric median of shapes which is based on the extension of median to high dimensions. The median finding problem is formulated as an optimization over distances and it is solved directly using the…

Computer Vision and Pattern Recognition · Computer Science 2019-04-17 Alexandre Cunha

The mean free path is an essential characteristic length in disordered systems. In microscopic calculations, it is usually approximated by the classical value of the elastic mean free path. It corresponds to the Boltzmann mean free path…

Disordered Systems and Neural Networks · Physics 2009-11-07 S. Correia

The exponential generating function of ordinary generating functions of diagonal sequences of general Sheffer triangles is computed by an application of Lagrange's theorem. For the special Jabotinsky type this is already known. An analogous…

Number Theory · Mathematics 2017-08-07 Wolfdieter Lang

We construct harmonic functions in the quarter plane for discrete Laplace operators. In particular, the functions are conditioned to vanish on the boundary and the Laplacians admit coefficients associated with transition probabilities of…

Probability · Mathematics 2022-10-19 Viet Hung Hoang

We consider the isotropic perimeter generating functions of three-choice, imperfect, and 1-punctured staircase polygons, whose 8th order linear Fuchsian ODEs are previously known. We derive simple relationships between the three generating…

Mathematical Physics · Physics 2016-07-11 M. Assis , M. van Hoeij , J-M. Maillard

We provide a compact expression for the generating function of correlators involving an arbitrary number of bosonic open string DDF states. The explicit correlators for $M$ DDF states can then be obtained by differentiating this generating…

High Energy Physics - Theory · Physics 2025-01-14 Dripto Biswas , Raffaele Marotta , Igor Pesando

In this paper we deal with a family of non--standard polynomials orthogonal with respect to an inner product involving differences. This type of inner product is the so--called $\Delta$--Sobolev inner product. Concretely, we consider the…

Classical Analysis and ODEs · Mathematics 2007-06-06 Juan J. Moreno-Balcazar , Teresa E. Perez , Miguel A. Pinar

We study the asymptotic growth of coefficients of Mahler power series with algebraic coefficients, as measured by their logarithmic Weil height. We show that there are five different growth behaviors, all of which being reached. Thus, there…

Number Theory · Mathematics 2026-01-13 Boris Adamczewski , Jason Bell , Daniel Smertnig

Mixed effect modeling for longitudinal data is challenging when the observed data are random objects, which are complex data taking values in a general metric space without linear structure. In such settings the classical additive error…

Methodology · Statistics 2023-07-13 Satarupa Bhattacharjee , Hans-Georg Müller