Differential equations
ODEs and PDEs, from exponential growth to the heat equation.
18 planned
No page in this subject is open yet. The planned list below shows what is coming, in learning order.
Planned
In learning order. These are not pages yet.
- Slope fields: reading an ODE before solving itIntro
- Exponential growth and decay: dy/dt = kyIntro
- The heat equation: why heat spreads the way it doesAdvanced undergrad
- Mean reversion as an ODE: dy/dt = θ(μ − y)Intro
- Second-order linear ODEs: springs and dampingIntro
- Separation of variables and Fourier modesAdvanced undergrad
- Boundary conditions: what happens at the edgesAdvanced undergrad
- Heat, wave, and Laplace: the three kinds of PDEAdvanced undergrad
- Linear systems x′ = Ax and phase portraitsIntro
- Resonance and frequency response: driving an oscillatorIntro
- The Laplace transform: turning an ODE into algebraIntro
- The wave equation and characteristics: d'Alembert's solutionAdvanced undergrad
- When an ODE has more than one solution: existence and uniquenessAdvanced undergrad
- Stability of equilibria and linearizationIntro
- The heat kernel: a Gaussian that widens like √tAdvanced undergrad
- Laplace's equation and harmonic functions: solving the Dirichlet problem with random walksAdvanced undergrad
- Removing drift and decay terms to reach the heat equationAdvanced undergrad
- The Fokker-Planck equation: how a probability density movesAdvanced undergrad
How it connects
Builds on Calculus Real analysis Linear algebra Probability Stochastic calculus and SDEs Complex analysis Stochastic processes
Leads to Stochastic processes Numerical methods Linear algebra PDE methods Volatility and jump models
Subjects marked “connection” are linked by a related idea, not by a prerequisite.