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We present a new oblivious walking strategy for convex subdivisions. Our walk is faster than the straight walk and more generally applicable than the visibility walk. To prove termination of our walk we use a novel monotonically decreasing…

Data Structures and Algorithms · Computer Science 2017-10-05 Wouter Kuijper , Victor Ermolaev , Olivier Devillers

We present a coupled decreasing sequence of random walks on $ \mathbb Z $ that dominates the edge process of oriented-bond percolation in two dimensions. Using the concept of "random walk in a strip ", we construct an algorithm that…

Probability · Mathematics 2007-05-23 Thomas Logan Ritchie , Vladimir Belitsky

In the past decade, a lot of attention has been devoted to the enumera-tion of walks with prescribed steps confined to a convex cone. In two dimensions, this means counting walks in the first quadrant of the plane (possibly after a linear…

Combinatorics · Mathematics 2025-04-11 Mireille Bousquet-Mélou

We investigate the complexity of local search based on steepest ascent. We show that even when all variables have domains of size two and the underlying constraint graph of variable interactions has bounded treewidth (in our construction,…

Discrete Mathematics · Computer Science 2020-05-18 David A. Cohen , Martin C. Cooper , Artem Kaznatcheev , Mark Wallace

We describe the scaling limit of the nearest neighbour prudent walk on the square lattice, which performs steps uniformly in directions in which it does not see sites already visited. We show that the scaling limit is given by the process…

Probability · Mathematics 2018-04-26 V. Beffara , S. Friedli , Y. Velenik

We obtain sharp upper and lower bounds for the moderate deviations of the volume of the range of a random walk in dimension five and larger. Our results encompass two regimes: a Gaussian regime for small deviations, and a stretched…

Probability · Mathematics 2020-05-18 Amine Asselah , Bruno Schapira

We develop a technique that provides a lower bound on the speed of transient random walk in a random environment on regular trees. A refinement of this technique yields upper bounds on the first regeneration level and regeneration time. In…

Probability · Mathematics 2009-11-03 Andrea Collevecchio , Tom Schmitz

We establish the validity of asymptotic limits for the general transportation problem between random i.i.d. points and their common distribution, with respect to the squared Euclidean distance cost, in any dimension larger than three.…

Probability · Mathematics 2025-02-18 Martin Huesmann , Michael Goldman , Dario Trevisan

We introduce a method for translating any upper bound on the percolation threshold of a lattice $G$ into a lower bound on the exponential growth rate $a(G)$ of lattice animals and vice-versa. We exploit this in both directions. We improve…

Probability · Mathematics 2021-07-14 Agelos Georgakopoulos , Christoforos Panagiotis

We prove a sufficient condition for the two-point function of a statistical mechanical model on $\mathbb{Z}^d$, $d > 2$, to be bounded uniformly near a critical point by $|x|^{-(d-2)} \exp [ -c|x| / \xi ]$, where $\xi$ is the correlation…

Probability · Mathematics 2025-07-01 Yucheng Liu

We consider a self-avoiding walk model (SAW) on the faces of the square lattice $\mathbb{Z}^2$. This walk can traverse the same face twice, but crosses any edge at most once. The weight of a walk is a product of local weights: each square…

Probability · Mathematics 2021-12-17 Alexander Glazman , Ioan Manolescu

Self-avoiding walks (SAWs) were introduced in chemistry to model the real-life behavior of chain-like entities such as solvents and polymers, whose physical volume prohibits multiple occupation of the same spatial point. In mathematics, a…

Data Structures and Algorithms · Computer Science 2013-10-01 Franc Brglez

We give explicit formulas for resistance distance matrices and Moore-Penrose inverses of incidence and Laplacian matrices of ladder, circular ladder, and M\"{o}bius ladder graphs. As a result, we compute the Kirchhoff index of these graphs…

Combinatorics · Mathematics 2023-06-21 Ali Azimi , Mohammad Farrokhi Derakhshandeh Ghouchan

We consider a self-avoiding walk on the $d$-dimensional hypercubic lattice, terminally attached to an impenetrable hyperplane at which it can adsorb. When a force is applied the walk can be pulled off the surface and we consider the…

Statistical Mechanics · Physics 2017-02-01 EJ Janse van Rensburg , SG Whittington

Grothendieck constants $K_G(d)$ bound the advantage of $d$-dimensional strategies over $1$-dimensional ones in a specific optimisation task. They have applications ranging from approximation algorithms to quantum nonlocality. However, apart…

Optimization and Control · Mathematics 2026-02-03 Sébastien Designolle , Tamás Vértesi , Sebastian Pokutta

We analyse new exact enumeration data for self-avoiding polygons, counted by perimeter and area on the square, triangular and hexagonal lattices. In extending earlier analyses, we focus on the perimeter moments in the vicinity of the…

Statistical Mechanics · Physics 2008-08-28 C. Richard , I. Jensen , A. J. Guttmann

Several kinds of walks on complex networks are currently used to analyze search and navigation in different systems. Many analytical and computational results are known for random walks on such networks. Self-avoiding walks (SAWs) are…

Disordered Systems and Neural Networks · Physics 2009-11-10 Carlos P. Herrero

We provide estimates for the asymptotic gains of the displacement of a vibrating string with endpoint forcing, modeled by the wave equation with Kelvin-Voigt and viscous damping and a boundary disturbance. Two asymptotic gains are studied:…

Optimization and Control · Mathematics 2018-07-18 Iasson Karafyllis , Maria Kontorinaki , Miroslav Krstic

In one-dimensional random walks, the waiting time for each direction transitions is the same, even in the presence of bias, as a consequence of the microscopic-reversibility. We study the symmetry breaking of forward/ backward transition…

Statistical Mechanics · Physics 2020-10-28 Jaeoh Shin , Anatoly B. Kolomeisky

We address the problem, not of the determination -- which usually needs numerical methods -- but of an accurate analytical estimation of the distance of a raw elasticity tensor to cubic symmetry and to orthotropy. We point out that there…

Classical Physics · Physics 2022-06-08 Rodrigue Desmorat , Boris Kolev
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