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Dynamics

A system where a state at a certain point in time is expressed in terms of its past states is called a dynamical system. For example, if there is an $x_{n}$, it can be represented as $x_{n+1} = f(x_{n})$ for some map $f$, or the state of $x$ can be represented by a differential equation $\dot{x} = g(x)$ for some function $g$. Systems where deterministic values are obtained are called dynamical systems, while nondeterministic systems are referred to as stochastic processes1.

Dynamics is the mathematical approach to such dynamical systems, including mathematical modeling and analysis of systems, and is a major branch of mathematics that is widely applied in physics, chemistry, biology, business, etc., despite its low recognition in some regions. It is used actively both in abstract investigations of space-time and in practical problem-solving.

MarkSubcategory
Chaos
🟢Biology

General Dynamics

Sets and Spaces

Maps

Differential Equations

Bifurcation Theory

Mathematical Modeling

Population Growth

Disease Spread

Coupling

Nonsmooth Systems

Simulation

Cellular Automata

Agent-Based Simulation

Lattice Model Simulation

Key References

  • Allen. (2006). An Introduction to Mathematical Biology
  • Ottar N. Bjørnstad. (2018). Epidemics Models and Data using R
  • Capasso. (1993). Mathematical Structures of Epidemic Systems
  • Kuznetsov. (1998). Elements of Applied Bifurcation Theory(2nd Edition)
  • Strogatz. (2015). Nonlinear Dynamics And Chaos: With Applications To Physics, Biology, Chemistry, And Engineering(2nd Edition)
  • Yorke. (1996). CHAOS: An Introduction to Dynamical Systems
  • Wiggins. (2003). Introduction to Applied Nonlinear Dynamical Systems and Chaos Second Edition(2nd Edition)

  1. Yorke. (1996). CHAOS: An Introduction to Dynamical Systems: p2. ↩︎


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