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.
Mark | Subcategory |
---|---|
⚫ | Chaos |
🟢 | Biology |
General Dynamics
Sets and Spaces
Maps
- Dynamical Systems Represented by Maps and Fixed Points
- 1-Dimensional Maps
- Multi-Dimensional Maps
Differential Equations
- Dynamical Systems Represented by Differential Equations and Equilibrium Points
- Flow and Time-T Map in Autonomous Systems
- Orbits and Limit Cycles in Autonomous Systems
- Linearization of Nonlinear Systems
- Lyapunov Stability and Orbit Stability
- Classification of Fixed Points in Autonomous Systems
- Conserved Quantities in Autonomous Systems
- Omega Limit Set in Autonomous Systems
- 🔒(24/08/10) Normal Form of Vector Fields
- 2-Dimensional Systems
- Liouville’s Theorem in Dynamics
- LaSalle’s Invariance Principle
- Poincaré Map
Bifurcation Theory
- 🔒(24/08/06) Bifurcation
- Bifurcation Diagram
- 🔒(24/08/20) Pitchfork Bifurcation
- Chaotic Transition ⚫
Mathematical Modeling
- Law of Mass Action in Mathematics
- Lorenz Attractor ⚫
- 🔒(24/04/10) Rössler Attractor ⚫
- Logistic Family ⚫
- Duffing Oscillator
Population Growth
- Malthus Growth Model: Ideal Collective Growth 🟢
- Logistic Growth Model: Limits of Collective Growth 🟢
- Gompertz Growth Model: Growth Delay Over Time 🟢
- Bass Diffusion Model: Innovation and Imitation
- Lotka-Volterra Predator-Prey Model 🟢
- Lotka-Volterra Competition Model 🟢
- May-Leonard Competition Model 🟢
- Lanchester’s Laws
- Salvo Combat Model
- Leslie age structured Model 🟢
- Von Foerster Equation 🟢
- 🔒(24/03/17) Population Balance Equations 🟢
Disease Spread
Sexually Transmitted Diseases Model: Disease Transmission Between Two Groups 🟢
Inter-Species Transmission Model: Disease Transmission Among Three Groups 🟢
Coupling
- Coupled Dynamical Systems
- Meta-Population Model 🟢
- Eulerian Movement Model 🟢
- Lagrangian Movement Model 🟢
- 🔒(24/06/29) Slow-Fast Systems
Nonsmooth Systems
- 🔒(24/06/25) Nonsmooth Systems
- 🔒(24/06/17) Piecewise Smooth Systems PWS
- 🔒(24/06/21) Differential Inclusions $\dot{x} \in F(x)$
- 🔒(24/07/03) DC-DC Buck Converter ⚫
- 🔒(24/07/07) Atopic Dermatitis System 🟢
- 🔒(24/08/14) Vibrational Impact Model ⚫
Simulation
Cellular Automata
Agent-Based Simulation
- First Steps in Agent-Based Simulation: Representing with Scatter Plots
- Reproduction in Agent-Based Model Simulation
- Death in Agent-Based Model Simulation
Lattice Model Simulation
- First Steps in Lattice Model Simulation: Representing with Heatmaps
- Diffusion in 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)
Yorke. (1996). CHAOS: An Introduction to Dynamical Systems: p2. ↩︎
All posts
- Representing Dynamical Systems and Fixed Points with Maps
- Lorenz Attractor
- Identification of Sinks and Sources in One-Dimensional Maps
- Map System's Orbit
- Lyapunov Exponents of One-Dimensional Maps
- Chaos in One-Dimensional Maps
- Proof of the Lee-Yang Theorem
- Sharkovsky's Theorem
- Logistic Family
- Conjugate Maps in Chaos Theory
- Schwarzschild Derivative
- Bifurcation Diagram
- Natural Invariant Measure
- Chaotic Transition
- Multidimensional Linear Maps
- Multidimensional Nonlinear Maps
- Lyapunov Numbers and Their Numerical Calculation Methods for Multidimensional Maps
- Multidimensional Map Chaos
- Attractors in Chaos
- Dynamical Systems Described by Differential Equations and Equilibrium Points
- Autonomous Systems: Flow and Time-T Maps
- Autonomous Systems: Orbits and Limit Cycles
- Linearization of Nonlinear Systems
- Lyapunov Stability and Orbit Stability
- The Van der Pol Oscillator
- Classification of Fixed Points in Autonomous Systems
- Lyapunov Function
- Invariant Sets in Dynamics
- Stability of Invariant Manifolds
- Bendixson's Criterion
- Absence of Periodic Orbits in Two-Dimensional Autonomous Systems
- Proof of Poincaré bendixson Theorem
- Conservation Quantities of Autonomous Systems
- Proof of Liouville's Theorem in Dynamics
- Poincaré Recurrence Theorem Proof
- Omega Limit Sets of Autonomous Systems
- Attractors in Dynamical Systems
- Attracting Set's Basin
- Proof of the LaSalle Invariance Principle
- Malthus Growth Model: Ideal Population Growth
- Dynamical Model Simulation
- First Steps in Agent-Based Simulation: Representing with Scatter Plots
- Agent-based Model Simulation of Reproduction
- Agent-based Model Simulation of Mortality
- Logistic Growth Model: The Limits of Population Growth
- First Steps in Lattice Model Simulation: Representing with Heatmaps
- Diffusion in Lattice Model Simulations
- Allee Effect in Mathematical Biology
- Gompertz Growth Model: Time-dependent Growth Deceleration
- Bass Diffusion Model: Innovation and Imitation
- Lotka-Volterra Predator-Prey Model
- Lotka-Volterra Competition Model
- May-Leonard Competition Model
- Lanchester's laws
- Simultaneous Firing Combat Model
- Dynamics Compartment Model
- What is the Basic Reproduction Number in Epidemic Spread Models?
- SIR Model: The Most Basic Diffusion Model
- SIS Model: Reinfection and Chronic Disease
- Sexually Transmitted Diseases Model: Disease Transmission between Two Populations
- Inter-Species Transmission Model: Disease Spread among Three Populations
- Poincaré Map
- AIDS Transmission Model
- Law of Mass Action in Mathematics
- Rigorous Definition of Dynamical Systems
- Orbits and Phase Portraits in Dynamics
- Topological Equivalence between Dynamical Systems
- Coupled Dynamic Systems
- Leslie age structure Model
- SEIR Model: Latent Period and Incubation Period
- SIRV Model: Vaccines and Breakthrough Infections
- SIRD Model: Death and Fatality Rate
- Metapopulation Model
- Euler's Motion Model
- Lagrangian Motion Model
- Pontryagin's Maximum Principle
- Population Balance Equation
- Rössler Attractor
- Smooth Systems in Each Segment of Dynamics
- Definition of Differential Inclusion
- Non-Smooth Systems in Dynamics