Analyzing Errors in Generalized Langevin Equations with Approximated Memory Kernels
Published:Dec 11, 2025 03:27
•1 min read
•ArXiv
Analysis
This research paper likely delves into the mathematical and computational aspects of simulating complex systems using Generalized Langevin Equations (GLEs). The focus on error analysis of approximated memory kernels suggests an investigation into the accuracy and limitations of different numerical methods.
Key Takeaways
- •The research investigates the accuracy of simulations using GLEs.
- •The core of the work involves error analysis of the memory kernels.
- •The study likely contributes to the improvement of simulation methods in physics and related fields.
Reference
“The paper focuses on error analysis.”