A Schrödinger Equation for Evolutionary Dynamics

Author:

Ao Vi D.1,Tran Duy V.2,Pham Kien T.3ORCID,Nguyen Duc M.4,Tran Huy D.5,Do Tuan K.6,Do Van H.7,Phan Trung V.8ORCID

Affiliation:

1. Department of Physics, VNUHCM University of Science, 227 Nguyen Van Cu, Ho Chi Minh 700000, Vietnam

2. Department of Mechanical Engineering, VNUHCM University of Technology, 226 Ly Thuong Kiet, Ho Chi Minh 110000, Vietnam

3. Department of Aerospace Engineering, School of Transportation Engineering, Hanoi University of Science and Technology, 01 Dai Co Viet, Hanoi 100000, Vietnam

4. Department of Mathematics, University of Chicago, 5801 S Ellis Ave, Chicago, IL 60637, USA

5. Department of Physics, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China

6. Department of Mathematics, University of California, Los Angeles (UCLA), 520 Portola Plaza, Los Angeles, CA 90095, USA

7. Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, 440 W. Brooks St., Norman, OK 73019, USA

8. Department of Molecular, Cellular and Developmental Biology, Yale University, 260 Whitney Ave, New Haven, CT 06511, USA

Abstract

We establish an analogy between the Fokker–Planck equation describing evolutionary landscape dynamics and the Schrödinger equation which characterizes quantum mechanical particles, showing that a population with multiple genetic traits evolves analogously to a wavefunction under a multi-dimensional energy potential in imaginary time. Furthermore, we discover within this analogy that the stationary population distribution on the landscape corresponds exactly to the ground-state wavefunction. This mathematical equivalence grants entry to a wide range of analytical tools developed by the quantum mechanics community, such as the Rayleigh–Ritz variational method and the Rayleigh–Schrödinger perturbation theory, allowing us not only the conduct of reasonable quantitative assessments but also exploration of fundamental biological inquiries. We demonstrate the effectiveness of these tools by estimating the population success on landscapes where precise answers are elusive, and unveiling the ecological consequences of stress-induced mutagenesis—a prevalent evolutionary mechanism in pathogenic and neoplastic systems. We show that, even in an unchanging environment, a sharp mutational burst resulting from stress can always be advantageous, while a gradual increase only enhances population size when the number of relevant evolving traits is limited. Our interdisciplinary approach offers novel insights, opening up new avenues for deeper understanding and predictive capability regarding the complex dynamics of evolving populations.

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),Astronomy and Astrophysics,Atomic and Molecular Physics, and Optics,Statistical and Nonlinear Physics

Reference89 articles.

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4. Rose, M.R., and Lauder, G.V. (1996). Adaptation, Academic Press.

5. Endler, J.A. (1986). Natural Selection in the Wild, Princeton University Press. Number 21.

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