Related Experiment Video
Updated: Feb 13, 2026

04:23
A Treatment Package without Escape Extinction to Address Food Selectivity
Published on: August 21, 2015
12.1K
Extinction and survival in two-species annihilation
J G Amar1, E Ben-Naim2, S M Davis1
1Department of Physics and Astronomy, University of Toledo, Toledo, Ohio 43606, USA.
Physical Review. E
|March 18, 2018
Summary
In a three-dimensional diffusion-controlled annihilation process, the initial number difference between two species dictates survival. A critical difference leads to minority extinction, while smaller differences allow both species to persist.
Area of Science:
- Chemical Physics
- Statistical Mechanics
- Mathematical Biology
Background:
- Diffusion-controlled reactions are fundamental in chemical and biological systems.
- Annihilation processes, where interacting particles are removed, are key models for reaction dynamics.
- Understanding particle behavior in confined spaces is crucial for various scientific fields.
Purpose of the Study:
- To investigate the dynamics of two-species annihilation with a finite number of particles in three dimensions.
- To determine the role of the initial number difference between species in survival outcomes.
- To analyze scaling behaviors of surviving particles under different initial conditions.
Main Methods:
- Stochastic process modeling of particle diffusion and annihilation.
- Focus on three spatial dimensions and compact domain confinement.
- Analysis of conserved quantities and critical thresholds.
Main Results:
- A critical initial number difference (Δc) determines species survival.
- Minority species extinction occurs when Δc is exceeded; otherwise, both species survive.
- Scaling laws were identified: Δc ~ N^(1/3) for large N, and survival numbers M+ ~ N^(1/2), M- ~ N^(1/6) for unequal initial concentrations.
Conclusions:
- The initial population imbalance is a critical factor in diffusion-controlled annihilation.
- Finite particle number effects lead to distinct scaling behaviors for surviving populations.
- The study provides insights into the long-term fate of interacting particle systems.
Related Concept Videos
Keystone Species
25.0K
Measures of species biodiversity, such as richness (i.e., the number of species present) and evenness (i.e., their relative abundance), describe an ecological community’s structure. Many factors affect community structure, including abiotic factors (e.g., sunlight and nutrients), disturbances (e.g., fire or flood), species interactions (e.g., predation or competition), and chance events (e.g., foreign species invasion). Certain species—such as keystone species—also play a...
25.0K
What is a Species?
50.6K
Overview
50.6K
Generalization, Discrimination, and Extinction
1.5K
Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
1.5K
Formation of Species
45.4K
Speciation describes the formation of one or more new species from one or sometimes multiple original species. The resulting species are discrete from the parent species, and barriers to reproduction will typically exist. There are two primary mechanisms, speciation with and without geographic isolation—allopatric and sympatric speciation, respectively.
45.4K
Survival Curves
732
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
732
Survival Tree
436
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a...
Building a Survival Tree
Constructing a...
436

