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Differential Equations II

Year 2 · 6 sections · 60 concepts · 146 practice questions

What's covered

free1 · Linear systems11 concepts
  • Overview 1 · The plan of this section
  • Definition 1.1 · Linear systems and the matrix exponential
  • Proposition 1.2 · Properties of the matrix exponential
  • Theorem 1.3 · Solution of the constant-coefficient system
  • Definition 1.4 · Fundamental matrix and Wronskian
  • Proposition 1.5 · Liouville's formula for the Wronskian
  • Proposition 1.6 · Computing e^{tA} from eigenvalues
  • Example 1.7 · A system with a repeated eigenvalue
  • Theorem 1.8 · Variation of parameters for systems
  • Proposition 1.9 · Higher-order linear equations as systems
  • Check 1.10 · Check: solving linear systems
2 · Phase plane10 concepts
  • Overview 2 · The plan of this section
  • Definition 2.1 · Autonomous systems, orbits and fixed points
  • Theorem 2.2 · Classification of planar linear fixed points
  • Definition 2.3 · Linearisation and hyperbolic fixed points
  • Theorem 2.4 · Hartman–Grobman theorem
  • Definition 2.5 · Nullclines
  • Definition 2.6 · Conserved quantities
  • Proposition 2.7 · Strict minima of a conserved quantity are centres
  • Example 2.8 · The pendulum phase portrait
  • Check 2.9 · Check: sketching a phase portrait
3 · Stability and Lyapunov9 concepts
  • Overview 3 · The plan of this section
  • Definition 3.1 · Stability of a fixed point
  • Theorem 3.2 · Linear stability test
  • Definition 3.3 · Lyapunov function
  • Theorem 3.4 · Lyapunov's stability theorem
  • Definition 3.5 · Periodic orbits and limit cycles
  • Theorem 3.6 · Poincaré–Bendixson theorem
  • Proposition 3.7 · Bendixson–Dulac criterion
  • Check 3.8 · Check: deciding stability
4 · Series solutions10 concepts
  • Overview 4 · The plan of this section
  • Definition 4.1 · Ordinary and singular points
  • Theorem 4.2 · Series solutions at an ordinary point
  • Example 4.3 · Airy's equation
  • Example 4.4 · Legendre's equation and Legendre polynomials
  • Definition 4.5 · Regular singular points
  • Proposition 4.6 · The indicial equation
  • Theorem 4.7 · Frobenius method
  • Example 4.8 · Bessel functions
  • Check 4.9 · Check: series solutions
5 · Existence and uniqueness10 concepts
  • Overview 5 · The plan of this section
  • Definition 5.1 · Lipschitz conditions
  • Proposition 5.2 · C¹ functions are locally Lipschitz
  • Theorem 5.3 · Picard's theorem for systems
  • Lemma 5.4 · Grönwall's inequality
  • Corollary 5.5 · Uniqueness of solutions
  • Theorem 5.6 · Continuous dependence on initial data
  • Example 5.7 · Finite-time blow-up
  • Example 5.8 · Non-uniqueness without a Lipschitz condition
  • Check 5.9 · Check: is this IVP well posed?
6 · Boundary value problems10 concepts
  • Overview 6 · The plan of this section
  • Definition 6.1 · Boundary value problems
  • Example 6.2 · Eigenvalues of y'' + λy = 0 with Dirichlet conditions
  • Definition 6.3 · Sturm–Liouville problems
  • Proposition 6.4 · Sturm–Liouville operators are self-adjoint
  • Theorem 6.5 · Eigenvalues are real and eigenfunctions orthogonal
  • Theorem 6.6 · Eigenfunction expansions
  • Example 6.7 · Solving a forced BVP by expansion
  • Proposition 6.8 · Green's function
  • Check 6.9 · Check: boundary value problems

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Proposition 1.2 · Properties of the matrix exponential

ddtetA=AetA\frac{\mathrm d}{\mathrm dt}e^{tA} = Ae^{tA}; eA+B=eAeBe^{A+B} = e^Ae^B only if AB=BAAB = BA; conjugation passes through; det⁡etA=ettr⁡A\det e^{tA} = e^{t\operatorname{tr}A}.

Proof

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