Nonlinear Equations - UFRJ
Nonlinear Equations - UFRJ
Nonlinear Equations - UFRJ
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[SEC. 6.1: LEGENDRE’S TRANSFORM 73<br />
Lemma 6.2. A set U is convex if and only if U is an intersection<br />
of closed half-spaces.<br />
In order to prove this Lemma we need a classical fact about<br />
Hilbert spaces:<br />
Lemma 6.3. Let U be a convex subset in a Hilbert space, and let<br />
p ∉ U. Then there is a hyperplane separating U and p, namely<br />
where α ∈ E ∗ .<br />
x ∈ U ⇒ α(x) < α(p)<br />
This is a consequence of the Hahn-Banach theorem, see [23]<br />
Lemma I.3 p.6.<br />
Proof of Lemma 6.2. Assume that U is convex. Then, let S be the<br />
collection of all half-spaces H α,α0 = {α(x)−α 0 ≥ 0}, α ∈ E ∗ , α 0 ∈ R,<br />
such that U ⊆ H α,α0 .<br />
Clearly<br />
U ⊆<br />
⋂<br />
H α,α0 .<br />
α,α 0∈S<br />
Equality follows from Lemma 6.3.<br />
The reciprocal is easy and left to the reader.<br />
Definition 6.4. A function f : U ⊆ E → R is convex if and only if<br />
its epigraph<br />
Epi f = {(x, y) : f(x) ≤ y}<br />
is convex.<br />
Note that from this definition, the domain of a convex function<br />
is always convex. In this book we shall convention that a convex<br />
function has non-empty domain.<br />
Definition 6.5. The Legendre-Fenchel transform of a function f :<br />
U ⊆ E → R is the function f ∗ : U ∗ ⊆ E ∗ → R given by<br />
f ∗ (α) = sup α(x) − f(x).<br />
x∈U