Generating-functional analysis of random Lotka-Volterra systems: A step-by-step guide
Fuente:
arXiv
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2024
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866916263275528192 |
|---|---|
| author | Galla, Tobias |
| author_facet | Galla, Tobias |
| contents | This paper provides what is hopefully a self-contained set of notes describing the detailed steps of a generating-functional analysis of systems of generalised Lotka-Volterra equations with random interaction coefficients. Nothing in these notes is original, instead the generating-functional method (also known as the Martin-Siggia-Rose-DeDominic-Janssen formalism) and the resulting dynamic mean field theories have been used for the study of disordered systems and spin glasses for decades. But it is hard to find unifying sources which would allow a beginner to learn step-by-step how these methods can be used. My aim is to provide such a source. Most of the calculations are specific to generalised Lotka-Volterra systems, but much can be transferred to disordered systems in more general. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_14289 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Generating-functional analysis of random Lotka-Volterra systems: A step-by-step guide Galla, Tobias Disordered Systems and Neural Networks Statistical Mechanics Populations and Evolution This paper provides what is hopefully a self-contained set of notes describing the detailed steps of a generating-functional analysis of systems of generalised Lotka-Volterra equations with random interaction coefficients. Nothing in these notes is original, instead the generating-functional method (also known as the Martin-Siggia-Rose-DeDominic-Janssen formalism) and the resulting dynamic mean field theories have been used for the study of disordered systems and spin glasses for decades. But it is hard to find unifying sources which would allow a beginner to learn step-by-step how these methods can be used. My aim is to provide such a source. Most of the calculations are specific to generalised Lotka-Volterra systems, but much can be transferred to disordered systems in more general. |
| title | Generating-functional analysis of random Lotka-Volterra systems: A step-by-step guide |
| topic | Disordered Systems and Neural Networks Statistical Mechanics Populations and Evolution |
| url | https://arxiv.org/abs/2405.14289 |