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Practice · First-year graduate

Partial differential equations: modern theory

Partial differential equations: modern theory

Warm-upHuman

Let φ\varphi be a test function with φ(x)=2+3x+5x2\varphi(x) = 2 + 3x + 5x^2 for ∣x∣<1|x| < 1. Compute ⟨δ′,φ⟩\langle \delta', \varphi \rangle, where δ′\delta' is the distributional derivative of the Dirac delta.

Partial differential equations: modern theory

Warm-upHuman

On Ω=(−1,1)\Omega = (-1, 1), which functions belong to H1(Ω)H^1(\Omega)? Select all that apply.

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Partial differential equations: modern theory

CoreHuman

On V=H01(0,1)V = H^1_0(0, 1) (norm ∥u∥H12=∫u2+u′2\|u\|_{H^1}^2 = \int u^2 + u'^2), which bilinear forms are coercive? Select all that apply.

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Partial differential equations: modern theory

CoreHuman

Hadamard's example un(x,y)=sin⁡(nx)sinh⁡(ny)/n2u_n(x, y) = \sin(nx)\sinh(ny)/n^2 shows that the Cauchy problem Δu=0\Delta u = 0, u(x,0)=gu(x, 0) = g, ∂yu(x,0)=h\partial_y u(x, 0) = h is ill-posed. Which of Hadamard's conditions fails?

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Partial differential equations: modern theory

StretchHuman

In the proof of Lax–Milgram, AA is defined by B(u,v)=⟨Au,v⟩B(u, v) = \langle Au, v \rangle. Which argument shows that the range of AA is closed?

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Partial differential equations: modern theory

CoreFormal

Suppose hcoer : ∀ u, C * ‖u‖ * ‖u‖ ≤ B u u and hu : ∀ v, B u v = ℓ v. Which conclusion is the stability estimate of Lax–Milgram (and is provable from these hypotheses)?

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Partial differential equations: modern theory

CoreHuman

For a smooth solution of ut=uxxu_t = u_{xx} on (0,1)(0, 1) with u(0,t)=u(1,t)=0u(0, t) = u(1, t) = 0, let E(t)=∫01u2 dxE(t) = \int_0^1 u^2\,dx. Using the sharp Poincaré inequality ∫01ux2≥π2∫01u2\int_0^1 u_x^2 \ge \pi^2\int_0^1 u^2, which bound holds?

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Partial differential equations: modern theory

CoreComputational

Solve −u′′=f-u'' = f on (0,1)(0, 1), u(0)=u(1)=0u(0) = u(1) = 0, by finite differences: with h=1/Nh = 1/N and xi=ihx_i = ih, the unknowns u1,…,uN−1u_1, \dots, u_{N-1} satisfy −ui−1+2ui−ui+1h2=f(xi)\frac{-u_{i-1} + 2u_i - u_{i+1}}{h^2} = f(x_i) with u0=uN=0u_0 = u_N = 0. Write solve_poisson(f, n) returning the list [u0,u1,…,uN][u_0, u_1, \dots, u_N], solving the tridiagonal system by forward elimination and back substitution (the Thomas algorithm).

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