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 Jα denote the resolvent:

:J_{\alpha} = (\mathrm{id} + \alpha A)^{-1};

and let Aα 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 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

  • {{cite book

| last = Showalter

| first = Ralph E.

| title = Monotone operators in Banach space and nonlinear partial differential equations

| series = Mathematical Surveys and Monographs 49

| publisher = American Mathematical Society

| location = Providence, RI

| year = 1997

| pages = 162–163

| isbn = 0-8218-0500-2

}} {{MathSciNet|id=1422252}} (Proposition IV.1.8)

{{Functional analysis}}

Category:Convex analysis

Category:Theorems in functional analysis