1 - convexity & hyperplanes

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Last updated 3:04 PM on 1/21/26
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55 Terms

1
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Convex sets

Geometric Definition

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Convex sets

Algebraic Definition

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Convex sets

Interpretation

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Convex sets

Example

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Convex sets

Altenative Definition

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Convex combinations

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Convex combinations

Example

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Theorem

Convex combinations
V is convex

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Properties of Convex Sets

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Convex Functions

Geometric Definition

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Convex Functions

Algebraic Definition

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Convex Functions

Epigraph

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Show that g assumes a global minimum of value mV on V as well as a global maximum of value MV on V

The set V is compact, since V is closed, and by part 1 V is bounded. The map g is continuous since it is affine.

Applying the property ”A continuous function on a compact 2 set assumes a global minimum and a global maximum” gives that g assumes a global minimum mV and a global maximum MV on V .

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Properties of Convex Functions

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Properties of Concave Functions

Properties of concave functions are very similar to convex,

as a function f is concave if and only if -f is convex.

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Useful inequalities

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Strictly Convex Functions

Algebraic Definition

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Strictly Convex Functions

Example

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Strictly Convex Functions

Proving blueprint 1

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Strictly Convex Functions

Proving blueprint 2

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Level set of a function =

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Quasi-convex Functions

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Define the map φ : R → R, piecewise function

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Hypo graph of f

A function f is concave if and only if its hypograph is a convex set.
(Compare: A function f is convex if its epigraph is convex.)

<p><span>A function </span><span><em><span>f</span></em></span><span> is </span><strong><span>concave</span></strong><span> if and only if its </span><strong><span>hypograph is a convex set</span></strong><span>.</span><br><span>(Compare: A function </span><span><em><span>f</span></em></span><span> is convex if its </span><strong><span>epigraph</span></strong><span> is convex.)</span></p>
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Balls Notation Reminder

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Hyperplane

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Separating Hyperplane

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Alternative definition Convexity

using separating hyperplanes

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Separation Theorem (duality)

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Existence separating hyper-plane

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Existence separating hyper-plane

Why does V need to be closed?

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Existence separating hyper-plane

Why does V need to be convex?

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Supporting Hyper-planes

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Relation

Separating hyperplane - Supporting hyperplane

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Closure of a set =

smallest closed set that contains the original set = union of the set and all of its limit points

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Closed Sets

Property 2.3

Property 2.4

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<p></p>

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Linear Algebra RECAP

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Bounded

Compact

Distance

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Half spaces

Definition
Properties

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Polyhedral convex set

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Convex hull

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Theorem 1.5

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Theorem 1.2

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