TheoremBase

Elementary Calculus of the Subdifferential of a Convex Function

Subgradients of a convex function on an open convex set are monotone, are bounded by a local Lipschitz constant, have closed graph, reduce to the gradient at a point of differentiability, and depend continuously on the base point wherever the subgradient is unique.

Statement

We work in the setting of Product Measures and Lebesgue Measure on ℝⁿ: Standing Notation and Background, whose notation is fixed for every dimension and is used here with a natural number nn satisfying 1≤n1\le n: the real numbers and sequences, and the Euclidean norm ∥ ⋅ ∥\lVert\,\cdot\,\rVert, dot product, distance dEd_{E}, topology, the notions of open and bounded subsets, and the closed balls Bˉ(x,r)\bar{B}(x,r), are as fixed there.

Let U⊆RnU\subseteq\mathbb{R}^{n} be open and convex and let f:U→Rf:U\to\mathbb{R} be convex on UU, with subdifferential ∂Uf\partial_{U}f. Then the following hold.

1. (Monotonicity) For all y,y′∈Uy,y'\in U, all q∈∂Uf(y)q\in\partial_{U}f(y) and all q′∈∂Uf(y′)q'\in\partial_{U}f(y') one has 0≤(q−q′)⋅(y−y′)0\le(q-q')\cdot(y-y').

2. (Local bound on subgradients) Let y0∈Uy_{0}\in U and let r,M∈Rr,M\in\mathbb{R} with 0<r0<r and 0≤M0\le M be such that Bˉ(y0,2r)⊆U\bar{B}(y_{0},2r)\subseteq U and

∣f(z)−f(w)∣≤M ∥z−w∥for all z,w∈Bˉ(y0,2r).|f(z)-f(w)|\le M\,\lVert z-w\rVert\qquad\text{for all }z,w\in\bar{B}(y_{0},2r).

Then ∥q∥≤M\lVert q\rVert\le M for every y∈Bˉ(y0,r)y\in\bar{B}(y_{0},r) and every q∈∂Uf(y)q\in\partial_{U}f(y).

3. (Closed graph) Let (ym)m∈N(y_{m})_{m\in\mathbb{N}} be a sequence in UU converging to a point y∈Uy\in U, for each mm let qm∈∂Uf(ym)q_{m}\in\partial_{U}f(y_{m}), and suppose that (qm)m∈N(q_{m})_{m\in\mathbb{N}} converges to q∈Rnq\in\mathbb{R}^{n}. Then q∈∂Uf(y)q\in\partial_{U}f(y).

4. (At a point of differentiability) Let y∈Uy\in U and suppose that ff is differentiable at yy with derivative matrix the real matrix AA with one row and nn columns. Let g∈Rng\in\mathbb{R}^{n} be the point whose iith coordinate is A1iA_{1i}, so that AhAh has single coordinate g⋅hg\cdot h for every h∈Rnh\in\mathbb{R}^{n}. Then ∂Uf(y)={g}\partial_{U}f(y)=\{g\}.

5. (Continuity where the subgradient is unique) Let y∈Uy\in U and suppose that ∂Uf(y)={p}\partial_{U}f(y)=\{p\} for some p∈Rnp\in\mathbb{R}^{n}. Then for every ε∈R\varepsilon\in\mathbb{R} with 0<ε0<\varepsilon there is δ∈R\delta\in\mathbb{R} with 0<δ0<\delta such that every y′∈Uy'\in U with ∥y′−y∥<δ\lVert y'-y\rVert<\delta and every q∈∂Uf(y′)q\in\partial_{U}f(y') satisfy ∥q−p∥<ε\lVert q-p\rVert<\varepsilon.

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