More convex hull - Krein-Milman
Published by Angel on
Sunday, May 16, 2010 - 04:09:04
- Filed under Convex Sets
I kinda said I was going to post more often and stuff but I’ve been ( again ) very busy with school. The semester is almost over , also I’ve been waiting for more theorems or lemmas related to the convex hull of a set.
I’ve been waiting for this theorem for a while , I didnt knew what it said but it was an intuitive idea I thought it may be inside a theorem and guess what. Here it is :).
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[sub]Lemma:[/sub]
Let A be a convex compact set, then each supporting hyperplane on A contains at least one extreme point of A.
[sub]Proof[/sub]
Let H be a supporting hyperplane on A, we know that
so it is also compact and convex.
Then there is a point x in the intersection of the hyperplane and A such that it is an extreme point of H intersection A, then x is also an extreme point of A.
[sub]Krein-Milman Theorem[/sub]
Let E be a convex and compact set on R^n, then the convex hull of the set of extreme points of E is the set E itself.
[sub]Proof:[/sub]
Its clear that E is a subset of the convex hull of the set of all extreme points of E since the extreme points belong to E.
Now we have to see that
.
Lets use induction over k the dimension of E
If k =0 then E is a single point
If K = 1 then E is a closed line segment.
Lets use as induction hypothesis that the theorem is true for k-1 with k<n.
Let x be the relative interiorof E. Then by our lemma there is a supporting hyperplane of E that contains x.
Then
is compact and convex with
, so by our induction hypothesis we have that x is a convex combination of the extreme points of
. Since the extreme points of
are extreme in E we have that :

If x is in the relative interior of E then there is a line segment that contains x that also intersects the boundary of E. Then E and the line segment can be expressed as a convex combination of extreme points of E then

Then:
.
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This is by far my favorite theorem, Ive been tryin to use it along with Radon’s theorem or directly with Caratheodory’s but I havent found anything good enough.
:)
On Blaschke’s Theorem
Published by Angel on
Wednesday, April 14, 2010 - 02:32:23
- Filed under Convex Sets
I know I havent been around lately, but Ive been very busy with school and stuff and I think thats a good thing, even for the blog, I have a few more theorems I want to post, Ill try to catch up as fast as possible.
I liked this one a lot, this is again on convex sets, I was going to post Jung’s theorem but the proof I have is all on Rober Webster’s Convexity book, I havent really checked if this one is in there but as far as I know it is not.
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Lemma
Let
be a convex and compact set, then there is a point x in S such that every chord which includes x is divided by x leaving on each side more than one third of the chord.
Proof
Let y in the boundary of S, then we define the set Sy as the points on every chord that has as a boundary the point y, and that the distance to y its less than 2 thirds of the lenght of the chord.
Let y,z,w be on the boundary of S and lets define Sw,Sz and Sy as before.
Using the triange with vertices wzy we build the medians and define x as the centroid of the triangle, now we’ll show that
.
This is because 
but
then
then
, using the same argument we can show that
with w’,z’ and y’ the boundary of the median with vertex w,y,z and a the midpoint of yz.
Now we have that 
Then
using Helly’s theorem
Let bb’ be a chord that includes x0, then 
Then, 
This proofs our lemma.
Theorem ( Blaschke’s ) :
Every convex, compact set S with width 1 contains a circle of radius 1/3.
Proof:
By the last lemma there exists
on S.
Lets show that
.
Let y in the boundary of
and let ww’ be a chord that includes x0, then, since the width of the set is 1, all chords have lenght greather or equal than 1.
Now
, then
. QED.
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I hope you comment, Ill try to upload about other topics, maybe some algebra or number theory.
‘Till next time :)
Convex sets - Convex Hull
Published by Angel on
Wednesday, February 17, 2010 - 07:08:41
- Filed under Notes, Convex Sets
First post is on basic convex set theory, I liked this because it was simple, demonstration was not very hard either.
The convex hull for a set A ( Im using real A a subset of
) is the minimal convex set that contains A.
We’ll now define:

Lemma:
Let
with A a convex set and
then 
Proof:
We’ll use induction over k.
If k=1 then x*1 is in A ( we choose x that way ).
Now we’ll asume that it works for every k.
Now, let
where
and 
We wanna see that x is in A.
Since
then at least there is one
, lets say its
.
Let 
and
.
Then we know by our induction hypothesis that y is in A .
Now, since A is a convex set and
then
.
This shows that x is in A.
Definition:
A point
its a convex combination of points
if there is
such that 
Theorem:
Let
then c(A) ( The convex hull of the set A ) is the set of all convex combinations of all points in A.
Proof:
Let B the set of all convex combinations of points in A.
We now have to show that B=c(A) (convex hull of A )
1)
Let x be an element of B, then
with
and
, since A is in c(A) then
, then
because c(A) is convex.
This shows that
.
2)
Note that if B is a convex set then A is a subset of B,this is because if x is in A then there is a
such that px will be on B. Then c(A) is a subset of B
We have to show that B is convex.
Let x and y be in B
Then
and
where
and
and
.
Let
with
such that 
Then
, it is clear now that 
This shows that
, which means B is convex.
Then B=c(A).
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‘Till next time :)