Supriya Ghosh (Editor)

Moreau's theorem

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In mathematics, Moreau's theorem is a result in convex analysis. It shows that sufficiently well-behaved convex functionals on Hilbert spaces are differentiable and the derivative is well-approximated by the so-called Yosida approximation, which is defined in terms of the resolvent operator.

Statement of the theorem

Let H be a Hilbert space and let φ : H → R ∪ {+∞} be a proper, convex and lower semi-continuous extended real-valued functional on H. Let A stand for ∂φ, the subderivative of φ; for α > 0 let Jα denote the resolvent:

J α = ( i d + α A ) 1 ;

and let Aα denote the Yosida approximation to A:

A α = 1 α ( i d J α ) .

For each α > 0 and x ∈ H, let

φ α ( x ) = inf y H 1 2 α y x 2 + φ ( y ) .

Then

φ α ( x ) = α 2 A α x 2 + φ ( J α ( x ) )

and φα is convex and Fréchet differentiable with derivative dφα = Aα. Also, for each x ∈ H (pointwise), φα(x) converges upwards to φ(x) as α → 0.

References

Moreau's theorem Wikipedia