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The paper outlines an exact combinatorial approach to finite coagulating systems. In this approach, cluster sizes and time are discrete, and the binary aggregation alone governs the time evolution of the systems. By considering the growth…

Statistical Mechanics · Physics 2018-02-21 Agata Fronczak , Anna Chmiel , Piotr Fronczak

Over the past decade, a combinatorial framework for discrete, finite, and irreversibly aggregating systems has emerged. This work reviews its progress, practical applications, and limitations. We outline the approach's assumptions and…

Statistical Mechanics · Physics 2026-01-06 Michał Łepek , Agata Fronczak , Piotr Fronczak

In a recent series of papers, an exact combinatorial solution was claimed for a variant of the so-called Marcus--Lushnikov model of aggregation. In this model, a finite number of aggregates, are initially assumed to be present in the form…

Statistical Mechanics · Physics 2022-09-14 Francois Leyvraz

In this article we study an extension of Smoluchowski's discrete coagulation equation, where particle in- and output takes place. This model is frequently used to describe aggregation processes in combination with sedimentation of clusters.…

Mathematical Physics · Physics 2018-01-10 Christian Kuehn , Sebastian Throm

Smoluchowski's coagulation equation is a mean-field model describing the growth of clusters by successive mergers. Since its derivation in 1916 it has been studied by several authors, using deterministic and stochastic approaches, with a…

Analysis of PDEs · Mathematics 2018-06-22 Philippe Laurençot

We present a simple one-dimensional model with molecular interactions favouring the formation of clusters with a defined optimal size. Increasing the density, at low temperature, the system goes from a nearly-ideal gas of independent…

Soft Condensed Matter · Physics 2009-10-30 D Duque , P Tarazona

We establish nearly optimal rates of convergence to self-similar solutions of Smoluchowski's coagulation equation with kernels $K = 2$, $x + y$, and $xy$. The method is a simple analogue of the Berry-Ess\'een theorem in classical…

Adaptation and Self-Organizing Systems · Physics 2011-04-26 Ravi Srinivasan

We propose an efficient and fast numerical algorithm of finding a \emph{stationary} solution of large systems of aggregation-fragmentation equations of Smoluchowski type for concentrations of reacting particles. This method is applicable…

Computational Physics · Physics 2015-04-13 Vladimir Stadnichuk , Anna Bodrova , Nikolai Brilliantov

Temperature-dependent Smoluchowski equations describe the ballistic agglomeration. In contrast to the standard Smoluchowski equations for the evolution of cluster densities with constant rate coefficients, the temperature-dependent…

Statistical Mechanics · Physics 2022-10-11 A. I. Osinsky , N. V. Brilliantov

The initial purpose of this work is to provide a probabilistic explanation of a recent result on a version of Smoluchowski's coagulation equations in which the number of aggregations is limited. The latter models the deterministic evolution…

Probability · Mathematics 2009-11-13 Jean Bertoin , Vladas Sidoravicius

We report a number of exact solutions for temperature-dependent Smoluchowski equations. These equations quantify the ballistic agglomeration, where the evolution of densities of agglomerates of different size is entangled with the evolution…

Statistical Mechanics · Physics 2022-11-09 Alexander Osinsky , Nikolay Brilliantov

For this paper, we studied the time evolution of a system of coagulating particles under a generalized electrorheological (ER) kernel with real power, $K\left(i,j\right) = \left( \frac{1}{i}+\frac{1}{j} \right)^\alpha$, and monodisperse…

Statistical Mechanics · Physics 2020-10-13 Michał Łepek , Agata Fronczak , Piotr Fronczak

The coagulation (or aggregation) equation was introduced by Smoluchowski in 1916 to describe the clumping together of colloidal particles through diffusion, but has been used in many different contexts as diverse as physical chemistry,…

Soft Condensed Matter · Physics 2022-12-27 J. Eggers , M. A. Fontelos

We consider the classical Smoluchowski coagulation equation with a general frequency kernel. We show that there exists a natural deterministic solution expansion in the non-associative algebra generated by the convolution product of the…

Analysis of PDEs · Mathematics 2023-11-27 Simon J. A. Malham

Researchers have employed variations of the Smoluchowski coagulation equation to model a wide variety of both organic and inorganic phenomena and with relatively few known analytical solutions, numerical solutions play an important role in…

Numerical Analysis · Mathematics 2013-12-30 Dustin D. Keck , David M. Bortz

In this article we prove the existence of solutions to the coagulation equation with singular kernels. We use weighted L^1-spaces to deal with the singularities in order to obtain regular solutions. The Smoluchowski kernel is covered by our…

Mathematical Physics · Physics 2014-01-22 Carlos Cueto Camejo , Robin Gröpler , Gerald Warnecke

The paper compares the statistical description of physical-metallurgical processes and ceramic-polycrystalline evolutions, termed the normal grain growth (NGG), as adopted to soft- and chemically-reactive grains, with a Smoluchowski's…

Soft Condensed Matter · Physics 2018-08-08 Adam Gadomski , Natalia Kruszewska , Piotr Bełdowski , Bogdan Lent , Marcel Ausloos

In this paper we prove that the time dependent solutions of a large class of Smoluchowski coagulation equations for multicomponent systems concentrate along a particular direction of the space of cluster compositions for long times. The…

Analysis of PDEs · Mathematics 2024-10-02 Marina A. Ferreira , Jani Lukkarinen , Alessia Nota , Juan J. L. Velázquez

We demonstrate an approach to solving the coagulation equation that involves using a finite number of moments of the particle size distribution. This approach is particularly useful when only general properties of the distribution, and…

Astrophysics · Physics 2009-11-13 Paul R. Estrada , Jeffrey N. Cuzzi

Convex clustering is a well-regarded clustering method, resembling the similar centroid-based approach of Lloyd's $k$-means, without requiring a predefined cluster count. It starts with each data point as its centroid and iteratively merges…

Machine Learning · Statistics 2026-05-15 Shubhayan Pan , Kushal Bose , Debolina Paul , Saptarshi Chakraborty , Swagatam Das
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