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Exact Calculation of the Probabilities of Rare Events in Cluster-Cluster Aggregation
R Rajesh1,2, V Subashri1,2, Oleg Zaboronski3
1<a href="https://ror.org/05078rg59">The Institute of Mathematical Sciences</a>, C.I.T. Campus, Taramani, Chennai 600113, India.
We developed a new method to calculate rare event probabilities in cluster-cluster aggregation. This action formalism precisely determines the rate function and optimal trajectory for various collision kernels, matching simulation results.
Area of Science:
- Statistical Physics
- Chemical Physics
- Computational Physics
Background:
- Cluster-cluster aggregation is a fundamental process in materials science and physics.
- Calculating probabilities of rare events in such systems is computationally challenging.
- Existing methods often lack the precision for arbitrary collision kernels.
Purpose of the Study:
- To develop a novel action formalism for calculating rare event probabilities in cluster-cluster aggregation.
- To establish a pathwise large deviation principle for quantifying these rare events.
- To apply the formalism to specific collision kernels (constant, sum, product) and analyze the rate function and optimal trajectories.
Main Methods:
- Development of an action formalism based on large deviation theory.
- Establishment of a pathwise large deviation principle where the total mass represents the rate.
- Exact calculation of the rate function and optimal evolution trajectory for constant, sum, and product kernels.
Main Results:
- The action formalism successfully calculates rare event probabilities for arbitrary collision kernels.
- Exact solutions for the rate function and optimal trajectories were obtained for constant, sum, and product kernels.
- A discontinuity in the second derivative of the rate function was identified for the product kernel.
- Theoretical predictions align with specialized simulations for rare event calculations.
Conclusions:
- The developed action formalism provides a powerful and exact tool for analyzing rare events in cluster-cluster aggregation.
- The findings offer precise insights into system dynamics, particularly for the product kernel's rate function.
- The agreement with simulations validates the theoretical approach for rare event probability calculations.
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