Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Generation and Release of OH Radicals from the Reaction of H<sub>2</sub> O with O<sub>2</sub> over Soot.

Angewandte Chemie (International ed. in English)·2022
Same author

The Molecular Basis of FIX Deficiency in Hemophilia B.

International journal of molecular sciences·2022
Same author

Effects of incineration leachate on anaerobic digestion of excess sludge and the related mechanisms.

Journal of environmental management·2022
Same author

Ternary Flash Memory with a Carbazole-Based Conjugated Copolymer: WS<sub>2</sub> Composites as Active Layers.

Langmuir : the ACS journal of surfaces and colloids·2022
Same author

Leveraging the multivalent p53 peptide-MdmX interaction to guide the improvement of small molecule inhibitors.

Nature communications·2022
Same author

Predictive accuracy of the modified SOFA score, SIRS criteria, and qSOFA score for uroseptic shock after mini-percutaneous nephrolithotomy.

Urolithiasis·2022

Related Experiment Video

Updated: Dec 21, 2025

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

4.1K

Continuous probabilistic analysis to evolutionary game dynamics in finite populations.

Meng Gao1

  • 1Institute of Biomathematics, School of Mathematics and Statistics, Lanzhou University, Lanzhou, 730000, People's Republic of China, gaomeng03@hotmail.com

Bulletin of Mathematical Biology
|February 17, 2009
PubMed
Summary

This study explores evolutionary game dynamics in finite populations, incorporating frequency-dependent selection and mutation. Results show theoretical models align with computer simulations for strategy dynamics.

More Related Videos

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.3K
Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 3, 2007

9.1K

Related Experiment Videos

Last Updated: Dec 21, 2025

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
15:00

Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli

Published on: August 18, 2023

4.1K
Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.3K
Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 3, 2007

9.1K

Area of Science:

  • Evolutionary game theory
  • Population dynamics
  • Mathematical biology

Background:

  • Understanding strategy evolution in finite populations is crucial.
  • Frequency-dependent selection and mutation are key evolutionary forces.

Purpose of the Study:

  • To analyze evolutionary game dynamics with two strategies in finite populations.
  • To incorporate frequency-dependent selection and mutation into the model.

Main Methods:

  • Utilized a continuous probabilistic approach for theoretical analysis.
  • Derived equilibrium probability density functions for abundance.
  • Calculated expected time to extinction or fixation.
  • Performed individual-based computer simulations.

Main Results:

  • Equilibrium probability density functions were derived.
  • Expected times to extinction and fixation were calculated.
  • Numerical solutions illustrated theoretical findings.
  • Simulations confirmed theoretical predictions.

Conclusions:

  • Theoretical analysis and computer simulations demonstrate consistency.
  • The model provides insights into evolutionary game dynamics in finite populations.