Helge Tverberg
Ladies and gentlemen, this is an excellent time to tell you about the beautiful theorem of Tverberg and the startling proof of Sarkaria to Tverberg’s theorem (two parts). A good place to start is Radon’s theorem.
1. The theorems of Radon, Helly, and Caratheodory.
Radon’s theorem
Radon’s theorem: Let be points in
,
. Then there is a partition
of
such that
. (Such a partition is called a Radon partition.)
Proof: Since the points
are affinely dependent. Namely, there are coefficients, not all zero,
such that
and
. Now we can write
and
, and note that
(*)
,
and also . This last sum is positive because not all the
s are equal to zero. We call it
.
To exhibit a convex combination of which is equal to a convex combination in
just divide relation (*) by
. Walla.
This trick of basing a partition on the signs of the coefficients repeats in other proofs. Take note!
Radon used his theorem to prove Helly’s theorem.
Helly’s theorem
Helly’s theorem: For a family ,
, of convex sets in
, if every
of the sets have a point in common then all of the sets have a point in common.
Proof: It is enough to show that when if every
of the sets have a point in common then there is a point in common to them all. Let
. In words,
is a point that belongs to all the
s except perhaps to
. We assumed that such a point
exists for every
.
Now we can apply Radon’s theorem: Consider the Radon partition of the points, namely a partition of
such that
. Let
. Since
belongs to the convex hull of
and every
for
belongs to every
for every
not in
we obtain that
belongs to every
for
not in
. By the same argument
belongs to every
for
not in
. Since
and
are disjoint, the point
belongs to all
s. Ahla.
The proof of Helly’s theorem from Radon’s theorem as described on the cover of a book by Steven R. Lay
Caratheodory’s theorem
Caratheodory’s theorem: For , if
then
for some
,
.
Like for Radon’s theorem, there is a simple linear algebra proof. We can assume that is finite; we start with a presentation of
as a convex combination of vectors in
, and if
we can use an affine dependency among the vectors in
to change the convex combination, forcing one coefficient to vanish.
Without further ado here is Tverberg’s theorem.
2. Tverberg’s Theorem
Tverberg Theorem (1965):Let be points in
,
. Then there is a partition
of
such that
.
So Tverberg’s theorem is very similar to Radon’s theorem except that we want more than two parts!
The first thing to note is that Tverberg’s theorem is sharp. If you have only points in
in a “generic” position then for every partition into
parts even the affine spans of the points in the parts will not have a point in common. (It is not entirely easy to prove it; and “generic” should be more than just “in general position.”)
The first proof of this theorem appeared in 1965. It was rather complicated and was based on the idea to first prove the theorem for points in some special position and then show that when you continuously changethe location of the points the theorem remains true. A common dream was to find an extension of the proof of Radon’s theorem, a proof which is based on the two types of numbers - positive and negative. Somehow we need three, four, or types of numbers. In 1981 Helge Tverberg found yet another proof of his theorem. This proof was inspired by Barany’s proof of the colored Caratheodory theorem (mentioned below) and it was still rather complicated. It once took me 6-7 hours in class to present it.
What could be the probability of hearing two new simple proofs of Tverberg’stheorem on the same day? While visiting the Mittag-Leffler Institute in 1992, I met Helge one day around lunch and he told me about a new proof that he found with Sinisa Vrecica. This is a proof that can be presented in class in 2 hours! It appeared (look here) along with a far-reaching conjecture (still unproved). Later in the afternoon I met Karanbir Sarkaria and he told me about a proof he found to Tverberg’s theorem which was absolutely startling. This is a proof you can present in a one hour lecture; it also somehow goes along with the dream of having “types” of numbers replacing the role of positive and negative real numbers. Another very simple proof of Tverberg’s theorem was found by Jean-Pierre Roudneff in 1999. (Here is Sarkaria’s homepage.)
3. Colorful Caratheodory
The Colorful Caratheodory Theorem (Barany): Let be
sets in
. Suppose that
. Then there are
,
,
such that
.
Note that when all the sets are equal we return to Caratheodory’s theorem. (Why is it called colorful? Because we can think of the different
s as representing different colors and the conclusion will be that
is in the convex hull of a set of points containing one point of each color. Indeed, colorful.)
Proof: We will consider the minimum distance between
and
where
,
,
. Suppose that
realizes this distance, and suppose by contradiction that
, i.e.,
. Write
.
Now consider the hyperplane through the point
which is perpendicular to the line through latex
and
. The point
belongs to the interior of one closed halfspace
and we first note that
belongs to the other closed halfspace
. Indeed, if
was a point in
in the interior of
then the anglebetween [
] and [
] would be less than 180 degrees and a point on the interval [
] very close to
would be at a shorter distance from
than
. This is impossible.
It follows that . By Caratheodory’s theorem (in dimension
),
is in the convex hull of
of the
s. In other words:
,
, for some
.
Let’s look now at . Is it possible that
? No! This is impossible since
. Therefore, there is
such that
belongs to the interior of
. Consider now
. Both
and
belong to
. Since
is in the interior of
so is the half open interval
, and a point on this interval very close to
will be closer to
than
. This is a contradiction. Sababa!
Imre Barany
The next and last part with Sarkaria’s proof is here.



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Beautiful post, thank you.
Small typo: In the last paragraph, when you say “z \in conv(S_j)”, this should be “x \in conv(S_j)”
Thanks, NH! Corrected.
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Thanks Gil !!!!
the Ahla, Sababa and Walla are very cute too
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In the proof of the Colorful Carathéodory Theorem, is there necessarily some “z” achieving the minimum distance as stated?
I think not, unless we assume that the sets S_i are finite. However, we should be able to do this with no loss of generality: since x is a convex combination of points from S_i (for each i), we may assume S_i to consist of only those points which contribute to that combination. Yes?
Right!
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