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Ordinary Differential Equations

Explore first-order equations; linear equations and forcing; systems and phase space. Concepts and connections are available independently of video coverage.

Prerequisites and connections

  • Derivatives

    A derivative is the limit of a difference quotient, measuring local rate of change when that limit exists.

    7 reviewed resources

First-order equations

  • Ordinary differential equations

    An ODE relates an unknown function of one variable to its derivatives.

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  • Initial value problems

    Initial data select solutions of a differential equation when existence and uniqueness conditions hold.

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  • Separable equations

    Separation places dependent and independent variables on opposite sides before integration.

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  • Integrating factors

    An integrating factor turns a linear first-order ODE into a product derivative.

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  • Existence and uniqueness for ODEs

    Continuity and suitable local Lipschitz conditions ensure a locally unique initial-value solution.

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  • Exact differential equations

    A differential expression is exact when it is the differential of a potential function on the domain.

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  • Bernoulli equations

    A power substitution converts a suitable nonlinear first-order Bernoulli equation into a linear one.

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Linear equations and forcing

  • Second-order linear ODEs

    A second-order linear ODE combines a function and its first two derivatives linearly.

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  • Characteristic equations

    An exponential trial converts a constant-coefficient homogeneous linear ODE into a polynomial equation.

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  • Variation of parameters

    Variable coefficients multiplying homogeneous solutions construct a particular solution of a forced linear ODE.

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  • Laplace transform

    An integral transform converts time-domain derivatives into algebraic relations under convergence conditions.

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  • Resonance

    Forcing near a natural frequency can produce large oscillatory responses depending on damping.

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  • Wronskian

    A Wronskian tests independence of solutions under differential-equation hypotheses; arbitrary functions require care.

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  • Undetermined coefficients

    A forcing-compatible trial form finds particular solutions of suitable constant-coefficient linear equations.

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Systems and phase space

  • Systems of ODEs

    Coupled differential equations describe interacting state variables.

    2 reviewed resources
  • Phase portraits

    A phase portrait displays trajectories in state space rather than against time.

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  • Equilibria and stability

    Stability describes whether nearby trajectories remain close to or approach an equilibrium.

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  • Linearization

    The Jacobian approximates a smooth system near an equilibrium; zero-real-part eigenvalues need further analysis.

    1 reviewed resources
  • Eigenvalues and eigenvectors

    A nonzero eigenvector is scaled by a linear operator; the scale factor is its eigenvalue.

    3 reviewed resources

Curriculum scope reference