Math 2.0

Calculus of variations and optimal control; optimization Gamma-convergence and homogenization Theorem

Modica–Mortola theorem

Builds on Γ-convergenceSobolev spaceLp spacePerimeter of a set

Statement

Let Ω⊆ℝn\Omega \subseteq \R^n be a bounded open set with Lipschitz boundary, and let W(t)=t2(1−t)2W(t) = t^2 (1 - t)^2 for t∈ℝt \in \R. For ε>0\varepsilon > 0 define Fε ⁣:L1(Ω)→[0,+∞]F_\varepsilon \colon L^1(\Omega) \to [0, +\infty] by Fε(u)=∫Ω(ε∣∇u∣2+1εW(u)) dxF_\varepsilon(u) = \int_\Omega \Big( \varepsilon \abs{\nabla u}^2 + \frac{1}{\varepsilon} W(u) \Big) \, dx if uu lies in the Sobolev space W1,2(Ω)W^{1,2}(\Omega), and Fε(u)=+∞F_\varepsilon(u) = +\infty otherwise. Define F ⁣:L1(Ω)→[0,+∞]F \colon L^1(\Omega) \to [0, +\infty] by F(u)=cWPer⁡(E;Ω),cW=2∫01W(s) ds=13,F(u) = c_W \operatorname{Per}(E; \Omega), \qquad c_W = 2 \int_0^1 \sqrt{W(s)} \, ds = \frac13, if u=𝟏Eu = \mathbf{1}_E is the characteristic function of a set E⊆ΩE \subseteq \Omega of finite perimeter Per⁡(E;Ω)\operatorname{Per}(E; \Omega) in Ω\Omega, and F(u)=+∞F(u) = +\infty otherwise. Then FεF_\varepsilon Γ-converges to FF in the Lp space L1(Ω)L^1(\Omega) as ε→0\varepsilon \to 0.

Remarks

The lower bound comes from the inequality a2+b2≥2aba^2 + b^2 \ge 2ab, which gives ε∣∇u∣2+W(u)/ε≥2W(u)∣∇u∣=∣∇(ϕ∘u)∣\varepsilon \abs{\nabla u}^2 + W(u)/\varepsilon \ge 2 \sqrt{W(u)} \abs{\nabla u} = \abs{\nabla (\phi \circ u)} with ϕ(t)=2∫0tW(s) ds\phi(t) = 2 \int_0^t \sqrt{W(s)} \, ds. The lower semicontinuity of the total variation then bounds the limit from below by the perimeter of EE times ϕ(1)−ϕ(0)=cW\phi(1) - \phi(0) = c_W. For the recovery sequence, one puts the optimal one-dimensional profile across ∂E\partial E. Here q(s)=1/(1+e−s)q(s) = 1/(1 + e^{-s}) solves q′=W(q)q' = \sqrt{W(q)}. When ∂E\partial E is smooth, uε(x)=q(d(x)/ε)u_\varepsilon(x) = q(d(x)/\varepsilon) works, with dd the signed distance to ∂E\partial E. The same result holds for other continuous double-well potentials W≥0W \ge 0 that vanish exactly at two points and grow suitably at infinity. Then cWc_W is the integral of 2W2\sqrt{W} between the two wells.

The theorem is often combined with a volume constraint ∫Ωu dx=m\int_\Omega u \, dx = m. Then the fundamental theorem of Γ-convergence shows that minimizers of FεF_\varepsilon converge, along subsequences, to characteristic functions of sets of least perimeter with the given volume.

Going deeper

For a student

This is the model example of Γ-convergence and the reason it became popular. It connects the diffuse-interface energy behind the Allen–Cahn equation with the sharp-interface perimeter functional of geometric measure theory. The constant cWc_W is the energy per unit area of the optimal one-dimensional transition profile. The result is due to Luciano Modica and Stefano Mortola, and Modica used it to study phase transitions with a volume constraint.

Reading path

To understand this page from the ground up, read these 5 pages in order. The foundations come first.

Show the path as a graph
Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
  • no evidence level
  1. Lp space concept
  2. Perimeter of a set concept
  3. Sobolev space concept
  4. Γ-convergence concept
  5. Modica–Mortola theorem statement

Further reading

  1. Web https://en.wikipedia.org/wiki/Γ-convergence
About this page
Tag6TSMHGCXVM
URIm2://6TSMHGCXVM
Kindstatement, theorem
WritingW0 stub
MSC49J45, 49Q20
StatusThis copy of the site has no build data. Run m2 status 6TSMHGCXVM.
AboutΓ-convergence
UsesΓ-convergence, Sobolev space, Lp space, Perimeter of a set

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