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Related papers: Knots and Random Walks in Vibrated Granular Chains

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We probe the character of knotting in open, confined polymers, assigning knot types to open curves by identifying their projections as virtual knots. In this sense, virtual knots are transitional, lying in between classical knot types,…

Soft Condensed Matter · Physics 2020-01-29 Keith Alexander , Alexander J Taylor , Mark R Dennis

In thermally fluctuating long linear polymeric chain in solution, the ends come from time to time into a direct contact or a close vicinity of each other. At such an instance, the chain can be regarded as a closed one and thus will form a…

Biological Physics · Physics 2007-05-23 Akos Dobay , Pierre-Edouard Sottas , Jacques Dubochet , Andrzej Stasiak

We study the formation of knots on a macroscopic ball-chain, which is shaken on a horizontal plate at 12 times the acceleration of gravity. We find that above a certain critical length, the knotting probability is independent of chain…

Statistical Mechanics · Physics 2007-05-23 J. Hickford , R. Jones , S. Courrech du Pont , J. Eggers

We present computer simulations to examine probability distributions of gyration radius for the no-thickness closed polymers of N straight segments of equal length. We are particularly interested in the conditional distributions when the…

Soft Condensed Matter · Physics 2007-05-23 N. T. Moore , R. Lua , A. Y. Grosberg

Long, flexible physical filaments are naturally tangled and knotted, from macroscopic string down to long-chain molecules. The existence of knotting in a filament naturally affects its configuration and properties, and may be very stable or…

Biomolecules · Quantitative Biology 2016-11-21 Keith Alexander , Alexander J Taylor , Mark R Dennis

In polymer physics it is typically assumed that excluded volume interactions are effectively screened in polymer melts. Hence, chains could be described by an effective random walk without excluded volume interactions. In this letter, we…

Soft Condensed Matter · Physics 2017-10-31 Hendrik Meyer , Eric Horwath , Peter Virnau

We consider the diffusive motion of a localized knot along a linear polymer chain. In particular, we derive the mean diffusion time of the knot before it escapes from the chain once it gets close to one of the chain ends. Self-reptation of…

Soft Condensed Matter · Physics 2009-11-11 Ralf Metzler , Walter Reisner , Robert Riehn , Robert Austin , Jonas Tegenfeldt , Igor M. Sokolov

In this work we investigate the dynamics of random walk processes on scale-free networks in a short to moderate time scale. We perform extensive simulations for the calculation of the mean squared displacement, the network coverage and the…

Disordered Systems and Neural Networks · Physics 2009-11-10 Lazaros K. Gallos

We perform theoretical studies of stretching of 20 proteins with knots within a coarse grained model. The knot's ends are found to jump to well defined sequential locations that are associated with sharp turns whereas in homopolymers they…

Biomolecules · Quantitative Biology 2008-04-01 Joanna I. Sułkowska , Piotr Sułkowski , Piotr Szymczak , Marek Cieplak

We report an experimental study of the statistical properties of vibrated granular rings. In this system, a linked rod and bead metallic chain in the form of a ring is collisionally excited by a vertically oscillating plate. The dynamics…

Soft Condensed Matter · Physics 2015-07-22 Z. A. Daya , E. Ben-Naim , R. E. Ecke

We model the typical behavior of knots and links using grid diagrams. Links are ubiquitous in the sciences, and their "normal" or "typical" behavior is of significant importance in understanding situations such as the topological state of…

Geometric Topology · Mathematics 2021-03-03 Margaret I. Doig

We analyze the dynamics of random walks with long-term memory (binary chains with long-range correlations) in the presence of an absorbing boundary. An analytically solvable model is presented, in which a dynamical phase-transition occurs…

Statistical Mechanics · Physics 2009-11-11 Uri Keshet , Shahar Hod

The weights of a neural network are typically initialized at random, and one can think of the functions produced by such a network as having been generated by a prior over some function space. Studying random networks, then, is useful for a…

Machine Learning · Statistics 2018-11-28 Kevin K. Chen , Anthony C. Gamst , Alden K. Walker

Quantum walks, both discrete (coined) and continuous time, form the basis of several quantum algorithms and have been used to model processes such as transport in spin chains and quantum chemistry. The enhanced spreading and mixing…

Quantum Physics · Physics 2010-12-10 Godfrey Leung , Paul Knott , Joe Bailey , Viv Kendon

We investigate random walks on a lattice with imperfect traps. In one dimension, we perturbatively compute the survival probability by reducing the problem to a particle diffusing on a closed ring containing just one single trap. Numerical…

Statistical Mechanics · Physics 2015-06-24 Timo Aspelmeier , Jérôme Magnin , Willi Graupner , Uwe C. Täuber

We give a complete classification of scaling limits of randomly trapped random walks and associated clock processes on $\mathbb Z^d$, $d\ge 2$. Namely, under the hypothesis that the discrete skeleton of the randomly trapped random walk has…

Probability · Mathematics 2014-10-02 Jiří Černý , Tobias Wassmer

Crackling noise, which occurs in a wide range of situations, is characterized by discrete events of various sizes, often correlated in the form of avalanches. We report experimental evidence that the mechanical response of knitted fabric…

Soft Condensed Matter · Physics 2018-08-08 Samuel Poincloux , Mokhtar Adda-Bedia , Frédéric Lechenault

We investigate the dynamic scaling properties of stochastic particle systems on a non-deterministic scale-free network. It has been known that the dynamic scaling behavior depends on the degree distribution exponent of the underlying…

Statistical Mechanics · Physics 2007-05-23 Jae Dong Noh , Sang-Woo Kim

It is a common practice to describe branching random walks in terms of birth, death and walk of particles, which makes it easier to use them in different applications. The main results obtained for the models of symmetric continuous-time…

Probability · Mathematics 2018-12-27 Anastasiia Rytova , Elena Yarovaya

We study persistence probabilities for random walks in correlated Gaussian random environment first studied by Oshanin, Rosso and Schehr. From the persistence results, we can deduce properties of critical branching processes with offspring…

Probability · Mathematics 2016-12-21 Frank Aurzada , Alexis Devulder , Nadine Guillotin-Plantard , Françoise Pène
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