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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}}

Revision as of 15:53, 16 January 2014

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Here is my web site; http://Www.hostgator1centcoupon.info/ (support.file1.com) 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

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.


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