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Non-intersecting Path Constructions for TASEP with Inhomogeneous Rates and the KPZ Fixed Point
Elia Bisi1, Yuchen Liao2, Axel Saenz3
1Institut für Stochastik und Wirtschaftsmathematik, Technische Universität Wien, E 105-07, Wiedner Hauptstraße 8-10, 1040 Wien, Austria.
We introduce a new method for analyzing the totally asymmetric simple exclusion process (TASEP) with complex particle and time-dependent jump rates. This approach uses combinatorics and lattice path ensembles to derive exact results for particle distributions.
Area of Science:
- Probability Theory
- Statistical Mechanics
- Combinatorics
Background:
- The totally asymmetric simple exclusion process (TASEP) is a fundamental model in statistical mechanics.
- Analyzing TASEP with non-uniform, time-dependent rates presents significant mathematical challenges.
- Existing methods often struggle with the complexity introduced by inhomogeneous parameters.
Purpose of the Study:
- To develop a novel framework for studying discrete-time TASEP with particle-dependent and time-inhomogeneous jump rates.
- To express the system's transition kernel using combinatorial objects and determinantal point processes.
- To derive an exact formula for the joint distribution of particle positions.
Main Methods:
- Utilizing the combinatorics of the Robinson-Schensted-Knuth correspondence.
- Employing intertwining relations to connect the particle system to lattice path ensembles.
- Expressing the correlation kernel via a boundary-value problem for a discrete heat equation.
Main Results:
- The transition kernel is represented as ensembles of weighted, non-intersecting lattice paths.
- The joint particle distribution is formulated as a Fredholm determinant.
- The correlation kernel is derived in terms of random walk hitting probabilities, generalizing previous results.
Conclusions:
- The developed method provides a powerful tool for analyzing complex TASEP models.
- The solution for the fully inhomogeneous case reveals a finer structure compared to homogeneous TASEP.
- This work extends the understanding of interacting particle systems with realistic, non-uniform dynamics.
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