SearcharxivSearch

arXiv · 1711.00955

Random Walks on Lattices. Influence of Competing Reaction Centers on Diffusion-Controlled Processes

Abstract

We study diffusion-reaction processes on periodic square planar lattices and simple cubic (sc) lattices. Considered first is a single diffusing reactant undergoing an irreversible reaction upon first encounter with a stationary co-reactant ["one-walker (1W) problem"]. We then generalize this scenario to allow for a competing reaction, i.e., instantaneous trapping of the diffusing reactant with probability $s$ at any vacant site before interacting with a (stationary) co-reactant at a target site. We determine the mean walklength of the diffusing reactant until irreversible reaction occurs. We use generating functions and the theory of finite Markov processes, as well as MC simulations. To investigate the dependence of walklength on lattice size we compute the first, finite size corrections to the Green function of the sc lattice, and provide a Padé approximation for this quantity. Finally, we consider the case where both reactant and co-reactant undergo synchronous nearest-neighbor displacements ["two-walker (2W) problem"]. In this case, reactant and co-reactant can individually be trapped with probability $s$ at any vacant lattice site, or can undergo an irreversible reaction on first encounter at any site. When $s=0$ we find that, both for the 1W and the 2W problem, for lattices with (approximately) the same number of sites, the mean walklength is smaller (and hence the reaction efficiency greater) in $d=3$ than in $d=2$. Increasing $s$ tends to reduce differences in system dimensionality, and distinctions between the 1W problem and the 2W problem. Our model provides a good starting point to develop studies on the efficiency of apparently diverse diffusion-reaction processes, such as diffusion on a partially poisoned catalytic substrate or photosynthetic trapping of excitations.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

E. Abad, T. Abil, A. Santos, J. J. Kozak. 2018-08-21. Random Walks on Lattices. Influence of Competing Reaction Centers on Diffusion-Controlled Processes. https://doi.org/10.1016/j.physa.2018.08.001

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Universal sampling of spin systems across quenched disorder

Statistical physics extracts macroscopic laws by averaging over the many microscopic degrees of freedom of a system. Disordered systems demand a second and far harder average, one over the quenched randomness itself. The classic analytical routes, the replica and cavity methods, become uncontrolled outside mean-field or tree-like limits, and conventional numerical algorithms like parallel tempering require expensive, independent equilibration for every disorder realization. In this work, we introduce a universal neural variational framework that amortizes inference across the disorder ensemble, eliminating both the need for per-instance Markov chain equilibration and the cost of retraining instance-specific variational ansatzes. Built on an encoder-decoder Transformer architecture, after training once, it produces an explicit approximation to the Boltzmann distribution given previously unseen disorder realizations without further optimization. We validate this framework on 2D Edwards-Anderson models, and apply it to the random-bond Ising model, successfully capturing the Binder cumulant crossings near the Nishimori multicritical point. These results shift the object of variational inference from the single instance to the disorder ensemble, opening a route to frustrated many-body systems where instance-by-instance computation is prohibitive.

cond-mat.stat-mech

Information-Theoretic Characterization of Macroscopic Chaos Emerging from the Chemical Master Equation

Open chemical reaction networks exhibit stochastic concentration dynamics at finite system sizes, whereas their macroscopic limit is governed by deterministic rate equations that can display chaos. In this Letter, we show theoretically that a rate of information loss constructed from two-time mutual information recovers the Kolmogorov-Sinai entropy in the deterministic limit. We verify this result through numerical simulations of a Markov jump process for a three-species system involving seven reactions.

cond-mat.stat-mech

Orientational order on non-orientable domains

We study the statistical properties of passive and active many-body systems with orientational degrees of freedom on non-orientable domains. By rephrasing topological constraints as non-local symmetry relations on an orientable double-cover, we show that non-orientability eliminates global rotational soft modes without acting like an external field. In a passive XY model, this results in topological caging, where orientational fluctuations that exhibit conventional diffusive behavior on a torus saturate on a Klein bottle to a finite value that we compute exactly in the thermodynamic limit. In models of active self-propelled particles with orientational degrees of freedom, topological caging persists despite continuously changing interaction neighborhoods. In an active Ising spin model, non-orientability enforces the coexistence of ordered anti-parallel domains with vanishing global polar order, a state that is absent on orientable domains.

cond-mat.stat-mech