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Front propagation in an A→2A, A→3A process in one dimension: velocity, diffusion, and velocity correlations
Niraj Kumar1, Goutam Tripathy, Katja Lindenberg
1Institute of Physics, Sachivalaya Marg, Bhubaneswar, India.
Front propagation in reaction-diffusion systems is analyzed. Temporal correlations in front dynamics significantly impact diffusion coefficient estimates, with behavior changing based on reaction rates versus diffusion.
Area of Science:
- Physics
- Chemical Kinetics
- Statistical Mechanics
Background:
- Reaction-diffusion systems are fundamental to modeling various spatio-temporal phenomena.
- Front propagation in such systems is crucial for understanding pattern formation and dynamics.
- Hard-core interactions introduce complexity not present in simpler models.
Purpose of the Study:
- To investigate front propagation dynamics in a 1D reaction-diffusion model with hard-core interactions.
- To analyze the role of temporal velocity correlations on front dynamics and diffusion coefficients.
- To explore the transition to uncorrelated random walker behavior.
Main Methods:
- Utilizing the leading particle picture to approximate front velocity.
- Employing various approximate analytical methods.
- Comparing analytical results with numerical simulations.
- Investigating the influence of reaction rates (ε, ε(t)) and bare diffusion (D).
Main Results:
- Approximate methods accurately predict front velocity, aligning well with simulations.
- Temporal velocity correlations are identified as critical for accurate diffusion coefficient estimation.
- The sign of ε(t)-D dictates the nature of these temporal correlations.
- Analytical and numerical evidence shows uncorrelated random walker behavior when ε(t)=D.
Conclusions:
- The leading particle picture provides a robust framework for studying front propagation in this system.
- Accurate modeling of front diffusion requires accounting for temporal velocity correlations.
- The system exhibits a transition to simple random walk behavior under specific reaction-diffusion parameter regimes.
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