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64 Lines in the plane, and decompositions of graphs<br />

However, it was shown by Coxeter that the order axioms will suffice for<br />

a proof of the Sylvester–Gallai theorem. Thus one can devise a proof that<br />

does not use any metric properties — see also the proof that we will give in<br />

Chapter 12, using Euler’s formula.<br />

The Sylvester–Gallai theorem directly implies another famous result on<br />

points and lines in the plane, due to Paul Erdős and Nicolaas G. de Bruijn.<br />

But in this case the result holds more generally for arbitrary point-line<br />

systems, as was observed already by Erdős and de Bruijn. We will discuss<br />

the more general result in a moment.<br />

Theorem 2. Let P be a set of n ≥ 3 points in the plane, not all on a line.<br />

Then the set L of lines passing through at least two points contains at least<br />

n lines.<br />

Q<br />

. . .<br />

P P 3 P 4 . . .<br />

P n+1<br />

Proof. For n = 3 there is nothing to show. Now we proceed by induction<br />

on n. Let |P| = n + 1. By the previous theorem there exists a line l 0 ∈ L<br />

containing exactly two points P and Q of P. Consider the set P ′ = P\{Q}<br />

and the set L ′ of lines determined by P ′ . If the points of P ′ do not all lie<br />

on a single line, then by induction |L ′ | ≥ n and hence |L| ≥ n +1 because<br />

of the additional line l 0 in L. If, on the other hand, the points in P ′ are all<br />

on a single line, then we have the “pencil” which results in precisely n + 1<br />

lines.<br />

□<br />

Now, as promised, here is the general result, which applies to much more<br />

general “incidence geometries.”<br />

Theorem 3. Let X be a set of n ≥ 3 elements, and let A 1 , . . .,A m be<br />

proper subsets of X, such that every pair of elements of X is contained in<br />

precisely one set A i . Then m ≥ n holds.<br />

Proof. The following proof, variously attributed to Motzkin or Conway,<br />

is almost one-line and truly inspired. For x ∈ X let r x be the number of<br />

sets A i containing x. (Note that 2 ≤ r x < m by the assumptions.) Now if<br />

x ∉ A i , then r x ≥ |A i | because the |A i | sets containing x and an element<br />

of A i must be distinct. Suppose m < n, then m|A i | < n r x and thus<br />

m(n − |A i |) > n(m − r x ) for x /∈ A i , and we find<br />

1 = ∑<br />

x∈X<br />

1<br />

n = ∑<br />

x∈X<br />

∑<br />

1<br />

n(m−r > ∑ x)<br />

A i:x∉A i A i<br />

∑<br />

1<br />

m(n−|A = ∑ 1<br />

i|)<br />

x:x∉A i A i<br />

m = 1,<br />

which is absurd.<br />

□<br />

There is another very short proof for this theorem that uses linear algebra.<br />

Let B be the incidence matrix of (X; A 1 , . . . , A m ), that is, the rows in B<br />

are indexed by the elements of X, the columns by A 1 , . . . , A m , where<br />

B xA :=<br />

{ 1 if x ∈ A<br />

0 if x ∉ A.<br />

Consider the product BB T . For x ≠ x ′ we have (BB T ) xx ′ = 1, since x

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