Asymptotic and singular perturbation methods

Construct controlled approximations when exact solutions fail, including boundary layers, oscillations, and multiple scales.

10 published lessons1 module314 min of guided study
  1. 01
    Asymptotic and singular perturbation methodsadvanced · 10 lessons

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Asymptotic and singular perturbation methods

Construct controlled approximations when exact solutions fail, including boundary layers, oscillations, and multiple scales.

  1. 01

    Asymptotic sequences and Poincaré expansions

    Interpret asymptotic coefficients as finite-order remainder claims, including useful expansions that diverge at every fixed nonzero parameter.

    29 min
  2. 02

    Dominant balance and distinguished limits

    Find hidden solution scales by balancing leading terms and checking that every discarded term is actually smaller.

    29 min
  3. 03

    Regular perturbation and secular terms

    Construct coefficient equations on fixed intervals and diagnose growth that destroys a long-time approximation.

    30 min
  4. 04

    Boundary layers and inner–outer expansions

    Resolve a lost boundary condition on a stretched coordinate and verify a uniform error bound in an exact linear example.

    30 min
  5. 05

    Matched asymptotic expansions

    Compare inner and outer limits in a shared overlap and subtract their common part when constructing a composite approximation.

    31 min
  6. 06

    Multiple time scales and averaging

    Separate fast oscillations from slow evolution and state the hypotheses needed for long-time averaging accuracy.

    32 min
  7. 07

    WKB approximations and turning points

    Derive phase and amplitude equations away from coefficient zeros and identify the Airy scale near a simple turning point.

    33 min
  8. 08

    Laplace's method and steepest descent

    Extract a Gaussian contribution near a nondegenerate minimum and track the analytic requirements behind a complex contour deformation.

    33 min
  9. 09

    Stationary phase and oscillatory integrals

    Locate where cancellation weakens, retain the phase of the Gaussian contribution, and distinguish stationary points from endpoints and degenerate phases.

    33 min
  10. 10

    Exponentially small terms and Stokes phenomena

    Understand information beyond a power expansion, least-term truncation, and convention-dependent changes in asymptotic representations across complex directions.

    34 min
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