Γ-convergence

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In the field of mathematical analysis for the calculus of variations, Γ-convergence (Gamma-convergence) is a notion of convergence for functionals. It was introduced by Ennio de Giorgi.

Definition

Let X be a topological space and 𝒩(x) denote the set of all neighbourhoods of the point x∈X. Let further Fn:X→ℝ‾ be a sequence of functionals on X. The Γ-lower limit and the Γ-upper limit are defined as follows:

Γ-lim infn→∞Fn(x)=supNx∈𝒩(x)lim infn→∞infy∈NxFn(y),
Γ-lim supn→∞Fn(x)=supNx∈𝒩(x)lim supn→∞infy∈NxFn(y).

Fn are said to Γ-converge to F, if there exist a functional F such that Γ-lim infn→∞Fn=Γ-lim supn→∞Fn=F.

Definition in first-countable spaces

In first-countable spaces, the above definition can be characterized in terms of sequential Γ-convergence in the following way. Let X be a first-countable space and Fn:X→ℝ‾ a sequence of functionals on X. Then Fn are said to Γ-converge to the Γ-limit F:X→ℝ‾ if the following two conditions hold:

  • Lower bound inequality: For every sequence xn∈X such that xn→x as n→+∞,
F(x)≤lim infn→∞Fn(xn).
  • Upper bound inequality: For every x∈X, there is a sequence xn converging to x such that
F(x)≥lim supn→∞Fn(xn)

The first condition means that F provides an asymptotic common lower bound for the Fn. The second condition means that this lower bound is optimal.

Relation to Kuratowski convergence

Γ-convergence is connected to the notion of Kuratowski-convergence of sets. Let epi(F) denote the epigraph of a function F and let Fn:X→ℝ‾ be a sequence of functionals on X. Then

epi(Γ-lim infn→∞Fn)=K-lim supn→∞epi(Fn),
epi(Γ-lim supn→∞Fn)=K-lim infn→∞epi(Fn),

where K-lim inf denotes the Kuratowski limes inferior and K-lim sup the Kuratowski limes superior in the product topology of X×ℝ. In particular, (Fn)n Γ-converges to F in X if and only if (epi(Fn))n K-converges to epi(F) in X×ℝ. This is the reason why Γ-convergence is sometimes called epi-convergence.

Properties

  • Minimizers converge to minimizers: If Fn Γ-converge to F, and xn is a minimizer for Fn, then every cluster point of the sequence xn is a minimizer of F.
  • Γ-limits are always lower semicontinuous.
  • Γ-convergence is stable under continuous perturbations: If Fn Γ-converges to F and G:X→[0,+∞) is continuous, then Fn+G will Γ-converge to F+G.
  • A constant sequence of functionals Fn=F does not necessarily Γ-converge to F, but to the relaxation of F, the largest lower semicontinuous functional below F.

Applications

An important use for Γ-convergence is in homogenization theory. It can also be used to rigorously justify the passage from discrete to continuum theories for materials, for example, in elasticity theory.

See also

References

  • A. Braides: Γ-convergence for beginners. Oxford University Press, 2002.
  • G. Dal Maso: An introduction to Γ-convergence. Birkhäuser, Basel 1993.