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In the [[calculus of variations]], '''Γ-convergence''' ('''Gamma-convergence''') is a notion of convergence for [[Functional (mathematics)|functionals]]. It was introduced by [[Ennio de Giorgi]]. | |||
==Definition== | |||
Let <math>X</math> be a [[topological space]] and <math>F_n:X\to[0,+\infty)</math> a sequence of functionals on <math>X</math>. Then <math>F_n</math> are said to <math>\Gamma</math>-converge to the <math>\Gamma</math>-limit <math>F:X\to[0,+\infty)</math> if the following two conditions hold: | |||
* Lower bound inequality: For every sequence <math>x_n\in X</math> such that <math>x_n\to x</math> as <math>n\to+\infty</math>, | |||
: <math>F(x)\le\liminf_{n\to\infty} F_n(x_n).</math> | |||
* Upper bound inequality: For every <math>x\in X</math>, there is a sequence <math>x_n</math> converging to <math>x</math> such that | |||
: <math>F(x)\ge\limsup_{n\to\infty} F_n(x_n)</math> | |||
The first condition means that <math>F</math> provides an asymptotic common lower bound for the <math>F_n</math>. The second condition means that this lower bound is optimal. | |||
==Properties== | |||
* Minimizers converge to minimizers: If <math>F_n</math> <math>\Gamma</math>-converge to <math>F</math>, and <math>x_n</math> is a minimizer for <math>F_n</math>, then every cluster point of the sequence <math>x_n</math> is a minimizer of <math>F</math>. | |||
* <math>\Gamma</math>-limits are always [[Semi-continuity|lower semicontinuous]]. | |||
* <math>\Gamma</math>-convergence is stable under continuous perturbations: If <math>F_n</math> <math>\Gamma</math>-converges to <math>F</math> and <math>G:X\to[0,+\infty)</math> is continuous, then <math>F_n+G</math> will <math>\Gamma</math>-converge to <math>F+G</math>. | |||
* A constant sequence of functionals <math>F_n=F</math> does not necessarily <math>\Gamma</math>-converge to <math>F</math>, but to the ''relaxation'' of <math>F</math>, the largest lower semicontinuous functional below <math>F</math>. | |||
==Applications== | |||
An important use for <math>\Gamma</math>-convergence is in [[homogenization (mathematics)|homogenization theory]]. It can also be used to rigorously justify the passage from discrete to continuum theories for materials, e.g. in [[Elasticity (physics)|elasticity]] theory. | |||
==See also== | |||
* [[Mosco convergence]] | |||
==References== | |||
* A. Braides: ''Γ-convergence for beginners''. Oxford University Press, 2002. | |||
* G. Dal Maso: ''An introduction to Γ-convergence''. Birkhäuser, Basel 1993. | |||
{{DEFAULTSORT:Gamma-Convergence}} | |||
[[Category:Calculus of variations]] | |||
[[Category:Variational analysis]] | |||
{{Mathanalysis-stub}} |
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In the calculus of variations, Γ-convergence (Gamma-convergence) is a notion of convergence for functionals. It was introduced by Ennio de Giorgi.
Definition
Let be a topological space and a sequence of functionals on . Then are said to -converge to the -limit if the following two conditions hold:
The first condition means that provides an asymptotic common lower bound for the . The second condition means that this lower bound is optimal.
Properties
- Minimizers converge to minimizers: If -converge to , and is a minimizer for , then every cluster point of the sequence is a minimizer of .
- -limits are always lower semicontinuous.
- -convergence is stable under continuous perturbations: If -converges to and is continuous, then will -converge to .
- A constant sequence of functionals does not necessarily -converge to , but to the relaxation of , the largest lower semicontinuous functional below .
Applications
An important use for -convergence is in homogenization theory. It can also be used to rigorously justify the passage from discrete to continuum theories for materials, e.g. 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.