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Related papers: Sustainability Risks under Lotka-Volterra Dynamics

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We construct a stochastic dynamical systems theory in which sustainability is a structural boundary property of a fully coupled Earth--Human--Production system. Each subsystem is modelled as a vector-valued process governed by stochastic…

Theoretical Economics · Economics 2026-03-02 Claudio Pirrone , Stefano Fricano , Gioacchino Fazio

We develop a three-timescale framework for modelling climate change and introduce a space-heterogeneous one-dimensional energy balance model. This model, addressing temperature fluctuations from rising carbon dioxide levels and the…

Atmospheric and Oceanic Physics · Physics 2024-08-27 Gianmarco Del Sarto , Franco Flandoli

Populations of competing biological species exhibit a fascinating interplay between the nonlinear dynamics of evolutionary selection forces and random fluctuations arising from the stochastic nature of the interactions. The processes…

Populations and Evolution · Quantitative Biology 2012-05-08 A. Dobrinevski , E. Frey

Inferring microbial community structure based on temporal metagenomics data is an important goal in microbiome studies. The deterministic generalized Lotka-Volterra differential (GLV) equations have been used to model the dynamics of…

Methodology · Statistics 2020-09-24 Libai Xu , Ximing Xu , Dehan Kong , Hong Gu , Toby Kenney

In this work we study the stability of the equilibria reached by ecosystems formed by a large number of species. The model we focus on are Lotka-Volterra equations with symmetric random interactions. Our theoretical analysis, confirmed by…

Statistical Mechanics · Physics 2018-09-26 Giulio Biroli , Guy Bunin , Chiara Cammarota

We propose a minimal model of the dynamics of diversity -- replicator equations with extinction, invasion and mutation. We numerically study the behavior of this simple model and show that it displays completely different behavior from the…

Adaptation and Self-Organizing Systems · Physics 2007-05-23 Kei Tokita , Ayumu Yasutomi

A complex interplay between the academic issue about generalization of the thermodynamics and the practical matter about setting standards for a sustainable evolution of both tailored devices and natural systems is considered. It is…

General Physics · Physics 2009-02-24 Maria K. Koleva

Despite the knowledge that social, economical, and ecological networks are often of a small-world nature with inter-nodal distance growing even slower than logarithmically with system size, we often assume theoretical systems to be outside…

Disordered Systems and Neural Networks · Physics 2026-05-21 Nirbhay Patil , Ada Altieri , Fabian Aguirre-Lopez

We employ Monte Carlo simulations to study a stochastic Lotka-Volterra model on a two-dimensional square lattice with periodic boundary conditions. If the (local) prey carrying capacity is finite, there exists an extinction threshold for…

Populations and Evolution · Quantitative Biology 2016-04-20 Sheng Chen , Uwe C. Täuber

MEDEAS (Modelling the Energy Development under Environmental And Socioeconomic constraint) World is a new global-aggregated energy-economy-environmental model, which runs from 1995 to 2050. In this work, we tested the MEDEAS world model to…

Physics and Society · Physics 2019-07-31 Gianluca Martelloni , Francesca Di Patti , Ilaria Perissi , Sara Falsini , Ugo Bardi

We study the global stability of generalized Lotka-Volterra systems with generalized polynomial right-hand side, without restrictions on the number of variables or the polynomial degree, including negative and non-integer degree. We…

Dynamical Systems · Mathematics 2024-12-19 Diego Rojas La Luz , Gheorghe Craciun , Polly Y. Yu

In this work, a theorem is first proved which presents a game theoretic formulation of a necessary and sufficient sustainizability over a set condition for a general system described by ordinary differential equations (ODEs). Then, two…

Optimization and Control · Mathematics 2024-03-18 Ioannis V. Manousiouthakis , Vasilios I. Manousiouthakis

This paper aims to more effectively manage and mitigate stock market risks by accurately characterizing financial market returns and volatility. We enhance the Stochastic Volatility (SV) model by incorporating fat-tailed distributions and…

Applications · Statistics 2024-12-31 Minheng Xiao

We consider the problem of evaluating risk for a system that is modeled by a complex stochastic simulation with many possible input parameter values. Two sources of computational burden can be identified: the effort associated with…

Methodology · Statistics 2024-03-29 Armin Khayyer , Alexander Vinel , Joseph J. Kennedy

Complex system stability can be studied via linear stability analysis using Random Matrix Theory (RMT) or via feasibility (requiring positive equilibrium abundances). Both approaches highlight the importance of interaction structure. Here…

Populations and Evolution · Quantitative Biology 2023-05-17 Xiaoyuan Liu , George W. A. Constable , Jonathan W. Pitchford

We study some aspects of the global dynamics of an $n$-dimensional Lotka-Volterra system with infinite delay and patch structure, such as extinction, persistence, existence and global attractivity of a positive equilibrium. Both the cases…

Classical Analysis and ODEs · Mathematics 2014-04-10 Teresa Faria

Abstract: The rising global temperatures caused by climate change significantly impact energy consumption and electricity generation. Fluctuating temperatures and frequent extreme weather events disrupt energy production and consumption…

Physics and Society · Physics 2024-12-18 MohammadReza Askari , Navid Parsa

Climate risk assessments must account for a wide range of possible futures, so scientists often use simulations made by numerous global climate models to explore potential changes in regional climates and their impacts. Some of the…

The population dynamics and stability of ecosystems of interacting species is studied from the perspective of non-equilibrium thermodynamics by assuming that species, through their biotic and abiotic interactions, are units of entropy…

Biological Physics · Physics 2007-05-23 Karo Michaelian

World Models have emerged as a powerful paradigm for learning compact, predictive representations of environment dynamics, enabling agents to reason, plan, and generalize beyond direct experience. Despite recent interest in World Models,…

Artificial Intelligence · Computer Science 2026-02-18 Lucas Maes , Quentin Le Lidec , Dan Haramati , Nassim Massaudi , Damien Scieur , Yann LeCun , Randall Balestriero