TheoremComplete

Hilbert Spaces - Applications

The Lax-Milgram Theorem is a cornerstone of the modern theory of partial differential equations, providing existence and uniqueness of weak solutions to elliptic boundary value problems.

TheoremLax-Milgram Theorem

Let HH be a Hilbert space and a:H×H→Ka : H \times H \to \mathbb{K} a bilinear form satisfying:

  1. Boundedness: ∣a(x,y)βˆ£β‰€Mβˆ₯xβˆ₯βˆ₯yβˆ₯|a(x,y)| \leq M \|x\| \|y\| for all x,y∈Hx, y \in H
  2. Coercivity: ∣a(x,x)∣β‰₯Ξ±βˆ₯xβˆ₯2|a(x,x)| \geq \alpha \|x\|^2 for all x∈Hx \in H and some Ξ±>0\alpha > 0

Then for every continuous linear functional Ο•βˆˆHβˆ—\phi \in H^*, there exists a unique u∈Hu \in H such that a(u,v)=Ο•(v)a(u, v) = \phi(v) for all v∈Hv \in H. Moreover, βˆ₯uβˆ₯≀1Ξ±βˆ₯Ο•βˆ₯\|u\| \leq \frac{1}{\alpha} \|\phi\|.

This theorem transforms the problem of solving a(u,v)=Ο•(v)a(u,v) = \phi(v) into showing that the bilinear form aa satisfies boundedness and coercivity. These conditions are often easy to verify for differential operators.

ExampleApplication to Poisson's Equation

Consider the boundary value problem βˆ’Ξ”u=fΒ inΒ Ξ©,u=0Β onΒ βˆ‚Ξ©-\Delta u = f \text{ in } \Omega, \quad u = 0 \text{ on } \partial\Omega where Ξ©βŠ‚Rn\Omega \subset \mathbb{R}^n is a bounded domain.

Weak Formulation: Find u∈H01(Ξ©)u \in H_0^1(\Omega) such that βˆ«Ξ©βˆ‡uβ‹…βˆ‡v dx=∫Ωfv dx\int_\Omega \nabla u \cdot \nabla v \, dx = \int_\Omega f v \, dx for all v∈H01(Ξ©)v \in H_0^1(\Omega).

Verification:

  • The bilinear form a(u,v)=βˆ«Ξ©βˆ‡uβ‹…βˆ‡v dxa(u,v) = \int_\Omega \nabla u \cdot \nabla v \, dx is bounded by Cauchy-Schwarz
  • By PoincarΓ©'s inequality, a(u,u)=βˆ₯βˆ‡uβˆ₯L22β‰₯Cβˆ₯uβˆ₯H12a(u,u) = \|\nabla u\|_{L^2}^2 \geq C \|u\|_{H^1}^2 (coercivity)
  • The functional Ο•(v)=∫Ωfv dx\phi(v) = \int_\Omega fv \, dx is continuous by HΓΆlder's inequality

Therefore, Lax-Milgram guarantees a unique weak solution.

Proof

Define an operator A:Hβ†’HA : H \to H using Riesz representation: for each u∈Hu \in H, let A(u)A(u) be the unique element satisfying a(u,v)=⟨A(u),v⟩a(u, v) = \langle A(u), v \rangle for all v∈Hv \in H. The operator AA is bounded by the boundedness of aa.

By coercivity, ⟨A(u),u⟩=a(u,u)β‰₯Ξ±βˆ₯uβˆ₯2\langle A(u), u \rangle = a(u,u) \geq \alpha \|u\|^2, which implies AA is injective and βˆ₯A(u)βˆ₯β‰₯Ξ±βˆ₯uβˆ₯\|A(u)\| \geq \alpha \|u\|. This shows AA has closed range.

To show AA is surjective, use the fact that Range(A)βŠ₯=ker⁑(Aβˆ—)={0}\text{Range}(A)^\perp = \ker(A^*) = \{0\} by similar coercivity arguments for Aβˆ—A^*.

Given Ο•βˆˆHβˆ—\phi \in H^*, let y∈Hy \in H be its Riesz representer. Since AA is surjective, there exists u∈Hu \in H with A(u)=yA(u) = y, giving a(u,v)=⟨y,v⟩=Ο•(v)a(u,v) = \langle y, v \rangle = \phi(v) for all vv.

β– 
Remark

The Lax-Milgram Theorem generalizes the existence theory for linear systems Ax=bAx = b to infinite dimensions. The coercivity condition plays the role of positive definiteness, ensuring that the operator AA is invertible with bounded inverse.

This theorem has revolutionized the study of PDEs by providing a systematic framework for proving existence and uniqueness of solutions without requiring explicit solution formulas.