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Generalized determinant solution of the discrete-time totally asymmetric exclusion process and zero-range process
J G Brankov1, V B Priezzhev, R V Shelest
1Institute of Mechanics, Bulgarian Academy of Sciences, Acad. G. Bonchev St. 4, 1113 Sofia, Bulgaria.
Summary
We derived a determinant formula for particle positions in a discrete-time exclusion process. This formula extends to cases with staggered start and end times, aiding in solving complex particle dynamics.
Area of Science:
- Statistical Mechanics
- Many-Body Physics
- Probability Theory
Background:
- The totally asymmetric exclusion process (TASEP) models particle movement with exclusion rules.
- Understanding discrete-time dynamics is crucial for complex systems.
- Previous work established determinant expressions for continuous-time TASEP.
Purpose of the Study:
- To derive a determinant expression for conditional probabilities in a discrete-time TASEP with backward-ordered updates.
- To generalize this expression for particles with asynchronous start and end times.
- To apply these findings to solve a nonstationary zero-range process.
Main Methods:
- Analysis of discrete-time particle evolution on an infinite chain.
- Derivation of a determinant formula for simultaneous particle start and finish.
- Proof of generalization for asynchronous particle start and finish times.
- Application of results to a finite-chain zero-range process with open boundaries.
Main Results:
- A determinant expression for conditional probabilities in discrete-time TASEP was obtained.
- This expression mirrors the form found in continuous-time TASEP.
- The determinant expression was successfully generalized for asynchronous particle start and finish times.
- A nonstationary zero-range process was solved using the generalized results.
Conclusions:
- The study provides a powerful determinantal tool for analyzing discrete-time exclusion processes.
- The generalization to asynchronous timing significantly expands the applicability of these methods.
- These findings offer new insights into solving complex, nonstationary particle systems.