Learning path · Mathematics
Ordinary Differential Equations
Understand evolving systems, solve foundational equations, then study oscillation and coupled dynamics.
- 01Orientation→
Ordinary Differential Equations Describe Evolving Systems
How an ODE turns a rule for change plus initial information into a trajectory through time.
- 02Foundations→
First-Order ODEs Model Growth, Decay, and Balance
A foundational guide to slope fields, separable equations, linear equations, and equilibrium solutions.
Requires: Ordinary Differential Equations Describe Evolving Systems
- 03Foundations→
Second-Order ODEs Govern Oscillation and Motion
How characteristic roots, initial conditions, damping, and forcing shape second-order systems.
Requires: Ordinary Differential Equations Describe Evolving Systems
- 04Foundations→
Systems of ODEs Track Interacting Quantities
How coupled first-order equations, phase planes, equilibria, and eigenvalues describe multivariable dynamics.
Requires: First-Order ODEs Model Growth, Decay, and Balance
- 05Core Concepts→
Slope Fields Show an ODE Before It Is Solved
How short line segments visualize the local direction rule in a first-order differential equation.
Requires: First-Order ODEs Model Growth, Decay, and Balance
- 06Core Concepts→
Characteristic Roots Classify Linear ODE Solutions
How an algebraic polynomial determines growth, decay, and oscillation in constant-coefficient equations.
Requires: Second-Order ODEs Govern Oscillation and Motion
- 07Core Concepts→
Phase Planes Show the Geometry of Two-State Systems
How trajectories and vector fields reveal coupled dynamics without plotting time directly.
Requires: Systems of ODEs Track Interacting Quantities
- 08Methods→
Euler’s Method Follows an ODE One Step at a Time
How local slopes generate a numerical approximation and why step size controls error.
Requires: Slope Fields Show an ODE Before It Is Solved
- 09Methods→
Separable ODEs Put Each Variable on Its Own Side
How separation and integration solve first-order equations with factorable rates.
Requires: First-Order ODEs Model Growth, Decay, and Balance
- 10Methods→
Integrating Factors Solve Linear First-Order ODEs
How one multiplier turns a linear differential equation into a product derivative.
Requires: First-Order ODEs Model Growth, Decay, and Balance
- 11Applications→
Equilibria Organize Autonomous ODEs
How constant solutions and phase lines reveal stability without solving an equation explicitly.
Requires: First-Order ODEs Model Growth, Decay, and Balance
- 12Applications→
Damping Determines How Oscillations Fade
How underdamped, critically damped, and overdamped systems return toward equilibrium.
Requires: Characteristic Roots Classify Linear ODE Solutions
- 13Applications→
Periodic Forcing Can Produce Resonance
How external forcing creates a steady response and why near-natural frequencies can amplify motion.
Requires: Second-Order ODEs Govern Oscillation and Motion
- 14Applications→
Eigenvalues Classify Linear System Stability
How the real and imaginary parts of eigenvalues predict growth, decay, and rotation near equilibrium.
Requires: Systems of ODEs Track Interacting Quantities