Maximum matching in minor-closed families of graphs

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Transcript Maximum matching in minor-closed families of graphs

On the size of dissociated
bases
Raphael Yuster
University of Haifa
Joint work with
Vsevolod Lev
University of Haifa
Dissociated bases
β€’
Recall, that subset sums of a subset  of an abelian group are
group elements of the form:
π‘βˆˆπ΅ 𝑏
where B  
β€’
Note: there are at most 2|| distinct subset sums.
β€’
Famous conjecture of Erdös (80 years ago, $500):
If all subset sums of an integer set   [1,n] are pairwise
distinct, then || ≀ log n+O(1).
β€’
Similarly, one can investigate the largest possible size of
subsets of other natural sets in abelian groups, possessing the
distinct subset sums property.
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β€’
Example:
What is the largest possible size of a set   {0,1}n  β„€n with
all subset sums pairwise distinct?
β€’
Definition: a subset of an abelian group, all of whose subset
sums are pairwise distinct, is called dissociated.
β€’
Dissociated sets are useful due to the fact that if  is a maximal
dissociated subset of a given set A, then every element of A is
representable as a linear combination of the elements of 
with the coefficients in {-1,0,1}.
β€’
Hence, maximal dissociated subsets of a given set can be
considered as its ``linear bases” over the set {-1,0,1}.
β€’
This interpretation naturally makes one wonder whether, and to
what extent, the size of a maximal dissociated subset of a given
set is determined by this set?
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Is it true that all maximal dissociated subsets of a given
finite set in an abelian group are of about the same size?
The following two theorems give a satisfactory answer:
Theorem 1
For a positive integer n, the set {0,1}n possesses a
dissociated subset of size:
n log n
(1 + π‘œ 1 )
log 9
Theorem 2
If  and M are maximal dissociated subsets of a subset A
of an abelian group, then
|𝑀|
≀ |Ξ›| < |𝑀|(log 2|𝑀| + loglog 2 𝑀 + 2)
log(2 𝑀 + 1)
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Why is this a satisfactory answer:
Since the standard basis is a maximal dissociated subset of the set
{0,1}n , comparing Theorems 1 and 2 we conclude that:
β€’
Theorem 2 is sharp in the sense that the logarithmic factors
cannot be dropped or replaced with a slower growing function.
β€’ Theorem 1 is sharp in the sense that n log n is the true order of
magnitude of the size of the largest dissociated subset of {0,1}n.
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Outline of the proof of Theorem 1
β€’ Recall: we want to prove that {0,1}n possesses a dissociated
n log n
subset of size: 1 + π‘œ 1
log 9
β€’ This is the same as showing that if n > (log 9+o(1))m/log m
then {0,1}n possesses an m-element dissociated subset.
β€’ The trick is to switch to the dual setting:
β€’ We prove that there exists a set D οƒŒ {0,1}m with |D|=n such that
for every non-zero vector s οƒŽ S:={-1,0,1}m there is an element of
D, not orthogonal to s.
β€’ Once this is done, we consider the n ο‚΄ m matrix whose rows are
the elements of D; the columns of this matrix form an m-element
dissociated subset of {0,1}n, as required.
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β€’ Explanation: Suppose the sum of the red vectors is equal to the
sum of the blue vectors. Then each row is orthogonal to the
1 -1 0 1 -1 1 -1 0 -1
vector:
The rows are the
elements of D οƒŒ {0,1}m
n
m
β€’ We construct D by choosing uniformly at random, and
independently of each other, n vectors from the set {0,1}m .
β€’ We will show that for every s οƒŽ S:={-1,0,1}m, the probability
that all vectors from D are orthogonal to s is very small.
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β€’ We say that a vector from S is of type (m+,m-) if it has m+
coordinates equal to +1, and m- coordinates equal to -1.
β€’ If sοƒŽS is of type (m+,m-) then a vector d οƒŽ{0,1}m is orthogonal
to s if and only if there exists jβ‰₯0 such that d has:
- exactly j non-zero coordinates in the (+1)-locations of s,
- exactly j non-zero coordinates in the (-1)-locations of s.
β€’ Example: s=(1,-1,0,1,1,-1) is of type (3,2) and
d=(0,1 ,1,0,1,0 ) is orthogonal to s, here with j=1.
β€’ The probability for a randomly chosen d οƒŽ{0,1}m to be
orthogonal to s is
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β€’ It follows that the probability for all n elements of D to be
simultaneously orthogonal to s is smaller than
β€’ Since the number of elements of a given type (m+,m-) is
to conclude the proof it suffices to prove that
β€’ To this end we rewrite this sum as
and split it into two parts, according to whether t<T or t > T,
where T := m/(log m)2. Denote the parts by βˆ‘1 and βˆ‘2 .
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β€’ We prove that βˆ‘1 < ½ and βˆ‘2 < ½.
β€’ For βˆ‘1 we have
β€’ As T := m/(log m)2 and n > (log 9+o(1))m/log m we have
and therefore βˆ‘1< ½ .
β€’ Proving that βˆ‘2< ½ is only slightly more involved.
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Outline of the proof of Theorem 2
β€’ Recall: we want to prove that if  and M are maximal
dissociated subsets of a subset A of an abelian group, then
|𝑀|
≀ |Ξ›| < |𝑀|(log 2|𝑀| + loglog 2 𝑀 + 2)
log(2 𝑀 + 1)
β€’ Here we will only prove the lower bound:
|𝑀|
log(2 𝑀 +1)
≀ |Ξ›|
β€’ The upper bound is only slightly more complicated.
β€’ By maximality of , every element of A, and thereby every
element M, is a linear combination of the elements of  with
coefficients in {-1,0,1}.
β€’ Hence, every subset sum of M is a linear combination of the
elements of  with coefficients in {-|M|,-|M|+1,…,|M|}.
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β€’ There are 2|M| subset sums of M, all distinct from each other.
β€’ There are (2|M|+1)|| linear combinations of the elements of 
with the coefficients in {-|M|,-|M|+1,…,|M|}.
β€’ we have: 2|M| · (2|M|+1)|| and
|𝑀|
log(2 𝑀 +1)
≀ |Ξ›| follows.
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Open problem
β€’ For a positive integer n, let Ln denote the largest size of a
dissociated subset of the set {0,1}n  β„€n . What are the limits
β€’ Notice, that by Theorems 1 and 2 we have
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Thanks!
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