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Moreau's theorem
In mathematics, Moreau's theorem is a result in convex analysis named after French mathematician Jean-Jacques Moreau. 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 J*α* denote the resolvent:
:J_{\alpha} = (\mathrm{id} + \alpha A)^{-1};
and let A*α* denote the Yosida approximation to A:
:A_{\alpha} = \frac1{\alpha} ( \mathrm{id} - J_{\alpha} ).
For each α 0 and x ∈ H, let
:\varphi_{\alpha} (x) = \inf_{y \in H} \frac1{2 \alpha} | y - x |^{2} + \varphi (y).
Then
:\varphi_{\alpha} (x) = \frac{\alpha}{2} | A_{\alpha} x |^{2} + \varphi (J_{\alpha} (x))
and φ**α is convex and Fréchet differentiable with derivative d*φα* = Aα*. Also, for each x ∈ H (pointwise), *φ*α*(x) converges upwards to φ(x) as α → 0.
References
- {{cite book
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