Learning path · Mathematics

Ordinary Differential Equations

Understand evolving systems, solve foundational equations, then study oscillation and coupled dynamics.

14 articles
OrientationFoundationsCore ConceptsMethodsApplications
Begin with Ordinary Differential Equations Describe Evolving Systems →
  1. 01
    Orientation

    Ordinary Differential Equations Describe Evolving Systems

    How an ODE turns a rule for change plus initial information into a trajectory through time.

  2. 02
    Foundations

    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

  3. 03
    Foundations

    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

  4. 04
    Foundations

    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

  5. 05
    Core 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

  6. 06
    Core 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

  7. 07
    Core 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

  8. 08
    Methods

    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

  9. 09
    Methods

    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

  10. 10
    Methods

    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

  11. 11
    Applications

    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

  12. 12
    Applications

    Damping Determines How Oscillations Fade

    How underdamped, critically damped, and overdamped systems return toward equilibrium.

    Requires: Characteristic Roots Classify Linear ODE Solutions

  13. 13
    Applications

    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

  14. 14
    Applications

    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