Uniformly convex spaces #
This file defines uniformly convex spaces, which are real normed vector spaces in which for all
strictly positive ε
, there exists some strictly positive δ
such that ε ≤ ‖x - y‖
implies
‖x + y‖ ≤ 2 - δ
for all x
and y
of norm at most than 1
. This means that the triangle
inequality is strict with a uniform bound, as opposed to strictly convex spaces where the triangle
inequality is strict but not necessarily uniformly (‖x + y‖ < ‖x‖ + ‖y‖
for all x
and y
not in
the same ray).
Main declarations #
UniformConvexSpace E
means that E
is a uniformly convex space.
TODO #
- Milman-Pettis
- Hanner's inequalities
Tags #
convex, uniformly convex
A uniformly convex space is a real normed space where the triangle inequality is strict with a
uniform bound. Namely, over the x
and y
of norm 1
, ‖x + y‖
is uniformly bounded above
by a constant < 2
when ‖x - y‖
is uniformly bounded below by a positive constant.
Instances
Equations
- (_ : StrictConvexSpace ℝ E) = (_ : StrictConvexSpace ℝ E)