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Dmitry Shabanov
joint work with
Jakub Kozik
Workshop on Extremal Graph Theory,
June 06, Yandex
Definitions
• A hypergraph 𝐻 = (𝑉, 𝐸) is a vertex set 𝑉 and a family of
subsets 𝐸 ⊂ 2 𝑉 whose elements are called the edges of the
hypergraph.
• A hypergraph 𝐻 = 𝑉, 𝐸 is said to be 𝑛-uniform if every edge
consists of exactly 𝑛 vertices.
• Let 𝐻 = (𝑉, 𝐸) be a hypergraph. A vertex coloring is called
proper for 𝐻 if there is no monochromatic edges in this
coloring.
• A hypergraph is said to be 𝑟-colorable if there is a proper
coloring with 𝑟 colors for it.
• The chromatic number of the hypergraph 𝐻, denoted by
𝜒(𝐻), is the minimum number of colors required for a proper
coloring.
Colorings of Graphs
The bound is tight (e.g., complete graphs or odd cycles).
This bound is tight up to the constant factor.
Basic fact
Any graph 𝐺 with maximum vertex degree Δ has chromatic
number at most Δ + 1.
Theorem (A. Johansson, 1996)
Any triangle-free graph 𝐺 with maximum vertex degree Δ has
chromatic number at most O(Δ/ln Δ).
What about hypergraphs?
• Let 𝐻 = (𝑉, 𝐸) be a hypergraph. The degree of an edge 𝐴 ∈ 𝐸
is the number of other edges of 𝐻 intersecting 𝐴. The
maximum edge degree of 𝐻 is denoted by Δ(𝐻).
This theorem was historically the first application of the famous
Local Lemma.
Theorem (P. Erdős, L. Lovász, 1973)
If 𝐻 is a 𝑛-uniform hypergraph with maximum edge degree
Δ(𝐻) at most
Δ 𝐻 ≤
1
𝑒
𝑟 𝑛−1
then 𝐻 is 𝑟-colorable (i.e. 𝜒 𝐻 = 𝑂( Δ 𝐻
1
𝑛−1
).
Theorem for 2-colorings
The proof is based on the random recoloring method.
Theorem (J. Radhakrishnan, A. Srinivasan, 2000)
If 𝐻 is an 𝑛-uniform hypergraph with maximum edge degree
Δ(𝐻) at most
Δ 𝐻 ≤ 0.17
𝑛
ln 𝑛
1
2
2 𝑛−1
then 𝐻 is 2-colorable.
Recent progress
The proof is based on Pluhár’s criterion for 𝑟-colorability of an
arbitrary hypergraph in terms of ordered 𝑟-chains.
UPDATE: Theorem holds for arbitrary number of colors 𝑟 with
𝑐 𝑟 replaced by an absolute constant 𝑐.
Theorem (D. Cherkashin, J. Kozik, 2013)
Suppose 𝑟 is fixed. Then for any sufficiently large 𝑛, if 𝐻 is an
𝑛-uniform hypergraph with Δ(𝐻) at most
Δ 𝐻 ≤ 𝑐 𝑟
𝑛
ln 𝑛
𝑟−1
𝑟
𝑟 𝑛−1
then 𝐻 is 𝑟-colorable.
Colorings of simple hypergraphs
• A hypergraph 𝐻 = (𝑉, 𝐸) is called simple if every two of its
distinct edges have at most one common vertex (as in graphs),
i.e. for any 𝐴, 𝐵 ∈ 𝐸, 𝐴 ≠ 𝐵, |𝐴 ∩ 𝐵| ≤ 1.
It turns out that it is somehow easier to color simple
hypergraphs.
Theorem (Z. Szabó, 1990)
For any 𝜀 > 0, there is 𝑛0 such that for any 𝑛 > 𝑛0, the
following statement holds: if 𝐻 is an 𝑛-uniform simple
hypergraph with Δ(𝐻) at most
Δ 𝐻 ≤ 2 𝑛−1
𝑛1−𝜀
then 𝐻 is 2-colorable.
Recent improvements
Theorem (A. Kupavskii, D. Shabanov, 2013)
For any 𝑛, 𝑟 ≥ 2, if 𝐻 is an 𝑛-uniform simple hypergraph with
Δ 𝐻 ≤ 𝑐
𝑛 ln ln 𝑛 2
ln 𝑛
𝑟 𝑛−1,
then 𝐻 is 𝑟-colorable.
Theorem (J. Kozik, 2013)
If 𝑛 > 𝑛0(𝑟) and 𝐻 is an 𝑛-uniform simple hypergraph with
Δ 𝐻 ≤ 𝑐
𝑛
ln 𝑛
𝑟 𝑛−1,
then 𝐻 is 𝑟-colorable.
Main new result
The proofs of the mentioned theorems appeared to be
“orthogonal”. The joined efforts led to the following result.
Theorem holds for any 𝑛 and 𝑟 as in the classical Theorem of
Erdős and Lovász.
Theorem (J. Kozik, D. Shabanov, 2014+)
If 𝐻 is an 𝑛-uniform simple hypergraph with maximum edge
degree Δ(𝐻) at most
Δ 𝐻 ≤ 𝑐 ⋅ 𝑛 𝑟 𝑛−1,
where 𝑐 > 0 is an absolute constant, then 𝐻 is 𝑟-colorable.
Comparison with other results
• We proved that any 𝑛 -uniform simple non- 𝑟 -colorable
hypergraph 𝐻 satisfies
Δ 𝐻 ≥ 𝑐 ⋅ 𝑛 𝑟 𝑛−1.
• If 𝑟 is a constant then this lower bound is 𝑛 times smaller
than the upper bound given by A. Kostochka and V. Rödl who
showed that there exists an 𝑛-uniform simple non-𝑟-colorable
hypergraph 𝐻 with
Δ 𝐻 ≤ 𝑛2
𝑟 𝑛−1
ln 𝑟 .
• For large 𝑟, A. Frieze and D. Mubayi established that any 𝑛-
uniform simple non-𝑟-colorable hypergraph 𝐻 satisfies
Δ 𝐻 ≥ 𝑐 𝑛 𝑟 𝑛−1
ln 𝑟
with 𝑐 𝑛 = 𝑂(𝑛2−2𝑛
).
Property B conjecture
Let 𝑚(𝑛) denote the minimum possible number of edges in an
𝑛-uniform non-2-colorable hypergraph.
Similar problem: Let Δ(𝑛) denote the minimum possible value
of the maximum edge degree in an 𝑛-uniform non-2-colorable
hypergraph.
Conjecture: Δ 𝑛 = Θ 𝑛2 𝑛 .
We proved the lower bound in the class of simple hypergraphs.
Conjecture (P. Erdős, L. Lovász, 1973)
𝑚 𝑛 = Θ 𝑛2 𝑛 .
Ingredients of the proof
• Random recoloring method
• Almost complete analysis of the recoloring
procedure (h-tree construction)
• Special variant of the Local Lemma
Random recoloring method
Suppose 𝐻 = (𝑉, 𝐸) is an 𝑛-uniform simple hypergraph. Without
loss of generality assume that 𝑉 = {1, … , 𝑚}.
Let 𝑋1, … , 𝑋 𝑚 be independent random variables with uniform
distribution on [0,1], weights of the vertices. Let 𝑝 ∈ (0,1) be a
real number.
A vertex 𝑣 ∈ 𝑉 is called a free vertex if 𝑋 𝑣 ≤ 𝑝. Only free vertices
are allowed to recolor during the recoloring procedure.
FIRST STAGE
Color every vertex randomly and independently with 𝑟 colors.
The obtained coloring is called initial.
Recoloring procedure
SECOND STAGE
1. Start with initial coloring.
2. If in the current coloring there is a monochromatic edge 𝐴 (of
some color 𝛼) containing a free vertex which has not been
recolored yet, then
– take a free vertex 𝑣 of 𝐴 with initial color 𝛼 and the least
weight 𝑋 𝑣;
– recolor 𝑣 with color 𝛼 𝑚𝑜𝑑 𝑟 + 1.
3. Repeat step 2 until there is no monochromatic edges with
non-recolored free vertices.
Recoloring procedure
In such situation we say that the third vertex blames the
edge 𝐴.
Construction of an h-tree
Suppose that recoloring procedure fails and in the final coloring
there is a monochromatic edge 𝐴 (root of the directed tree) of
some color 𝛼. Then every vertex of 𝐴
• either has initial color 𝛼 and is not free
• or has initial color 𝛼 − 1, is free and was recolored with 𝛼
during the recoloring process
Every vertex of the second type 𝐴
blames some other edge
(choose one for every vertex).
Let 𝐵1, … , 𝐵𝑠 be these edges.
We add them to the h-tree
as neighbors of 𝐴. 𝐵1, … , 𝐵𝑠
Construction of an h-tree
Every edge from 𝐵1, … , 𝐵𝑠 became completely monochromatic of
a color 𝛼 − 1 at some step of the recoloring procedure. So, in
the initial coloring 𝐵𝑖 can contain the vertices of a color 𝛼 − 2
which were recolored with 𝛼 − 1. Every such vertex blames
some edges (choose one for every vertex), we add them as
neighbors of 𝐵𝑖 in the h-tree. Continue the process if possible.
OBSERVATIONS
1. The edges 𝐶𝑖,1, … , 𝐶𝑖,𝑗 are different 𝐵𝑖
for every 𝑖.
2. The edges 𝐶𝑖,𝑟 and 𝐶 𝑘,𝑑 can
coincide for different 𝑖 ≠ 𝑘.
3. The leaves of the h-tree are
monochromatic in the initial coloring. 𝐶𝑖,1, … , 𝐶𝑖,𝑗
Analysis of bad events
There could be the following configurations in the h-tree.
1. The edges of the h-tree form a real hypertree.
2. There are cycles in the h-tree. In this case
we take the smallest subtree containing a cycle.
𝐴
Then either there is a short cycle (of length
≤ 2 ln 𝑛) or there is a large acyclic subtree
(of length > ln 𝑛).
Local Lemma
Theorem (Local Lemma, polynomial style)
Suppose that 𝑋1, … , 𝑋 𝑁 are independent random variables
and 𝐴1, … , 𝐴 𝑀 are events from the algebra generated by
them. Let 𝑣(𝐴𝑖) denote the smallest set of variables
𝑋𝑗 such that 𝐴𝑖 ∈ 𝜎(𝑋𝑗, 𝑗 ∈ 𝑣(𝐴𝑖)). Denote for 𝑗 = 1, … , 𝑁,
𝑤𝑗 𝑧 =
𝐴:𝑋 𝑗∈ 𝑣 𝐴
Pr 𝐴 𝑧 𝑣(𝐴)
.
Suppose that there exists a polynomial 𝑤 𝑧 such that
𝑤 𝑧 ≥ 𝑤𝑗 𝑧 for every 𝑗 and 𝑧 ≥ 1. If, moreover, there is
a real number 𝜏 ∈ (0,1) such that 𝑤
1
1−𝜏
≤ 𝜏, then
Pr 𝑖=1
𝑀
𝐴𝑖 > 0.
Application: Van der Waerden
Number
The function 𝑊(𝑛, 𝑟) from the Van der Waerden Theorem is
called the Van der Waerden function or the Van der Waerden
number.
Question: how can we estimate 𝑊 𝑛, 𝑟 ?
Theorem (B. Van der Waerden, 1927)
For any integers 𝑛 ≥ 3, 𝑟 ≥ 2, there exists the smallest
number 𝑊(𝑛, 𝑟) such that in any 𝑟-coloring of the set of
integers {1, … , 𝑊(𝑛, 𝑟)} there is a monochromatic arithmetic
progression of length 𝑛.
Known bounds for W(n,r)
The best general upper bound was obtained by W.T. Gowers
(2001):
𝑊 𝑛, 𝑟 ≤ 22 𝑟22 𝑛+9
.
In the particular cases 𝑛 = 3,4 the best results are due to T.
Sanders (2011), B. Green and T. Tao (2009).
Known lower bounds are very far away from Gowers’ tower.
E. Berlekamp (1968) 𝑊 𝑝 + 1,2 ≥ 𝑝2 𝑝
, 𝑝 is a prime.
Z. Szabó (1990) 𝑊 𝑛, 2 ≥ 2 𝑛 𝑛−𝜀, provided 𝑛 > 𝑛0(𝜀)
New lower bound for W(n,r)
This improves the previous results for 𝑊 𝑛, 2 of the type
2 𝑛 𝑛−𝜀.
When the number of colors is large in comparison with
progression length (say, 𝑟 > 2 𝑐 𝑛 ln𝑛 ), a better lower bound can
be obtained by using Hypergraph Symmetry Theorem.
Theorem (J. Kozik, D. Shabanov, 2014+)
For any 𝑛 ≥ 3, 𝑟 ≥ 2,
𝑊 𝑛, 𝑟 ≥ 𝑐 ⋅ 𝑟 𝑛−1,
where 𝑐 > 0 is an absolute constant.
Ideas of the proof
• We have to show that the hypergraph of arithmetic
progressions (vertex set = {1, … , 𝑁}, edges are arithmetic
progressions of length 𝑛) is 𝑟-colorable.
• This hypergraph of arithmetic progressions is not simple, but
(in some sense) close to be simple.
• Its codegree is at most 𝑛2
(not 1, as in simple hypergraphs)
which is sufficient for our probabilistic construction.
• Use the same random recoloring procedure.
• We have to deal with 2-cycles in
h-trees, especially with situations
when there are two edges with
a lot of common vertices (> 𝑛/2).

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Dmitry Shabanov – Improved algorithms for colorings of simple hypergraphs and applications

  • 1. Dmitry Shabanov joint work with Jakub Kozik Workshop on Extremal Graph Theory, June 06, Yandex
  • 2. Definitions • A hypergraph 𝐻 = (𝑉, 𝐸) is a vertex set 𝑉 and a family of subsets 𝐸 ⊂ 2 𝑉 whose elements are called the edges of the hypergraph. • A hypergraph 𝐻 = 𝑉, 𝐸 is said to be 𝑛-uniform if every edge consists of exactly 𝑛 vertices. • Let 𝐻 = (𝑉, 𝐸) be a hypergraph. A vertex coloring is called proper for 𝐻 if there is no monochromatic edges in this coloring. • A hypergraph is said to be 𝑟-colorable if there is a proper coloring with 𝑟 colors for it. • The chromatic number of the hypergraph 𝐻, denoted by 𝜒(𝐻), is the minimum number of colors required for a proper coloring.
  • 3. Colorings of Graphs The bound is tight (e.g., complete graphs or odd cycles). This bound is tight up to the constant factor. Basic fact Any graph 𝐺 with maximum vertex degree Δ has chromatic number at most Δ + 1. Theorem (A. Johansson, 1996) Any triangle-free graph 𝐺 with maximum vertex degree Δ has chromatic number at most O(Δ/ln Δ).
  • 4. What about hypergraphs? • Let 𝐻 = (𝑉, 𝐸) be a hypergraph. The degree of an edge 𝐴 ∈ 𝐸 is the number of other edges of 𝐻 intersecting 𝐴. The maximum edge degree of 𝐻 is denoted by Δ(𝐻). This theorem was historically the first application of the famous Local Lemma. Theorem (P. Erdős, L. Lovász, 1973) If 𝐻 is a 𝑛-uniform hypergraph with maximum edge degree Δ(𝐻) at most Δ 𝐻 ≤ 1 𝑒 𝑟 𝑛−1 then 𝐻 is 𝑟-colorable (i.e. 𝜒 𝐻 = 𝑂( Δ 𝐻 1 𝑛−1 ).
  • 5. Theorem for 2-colorings The proof is based on the random recoloring method. Theorem (J. Radhakrishnan, A. Srinivasan, 2000) If 𝐻 is an 𝑛-uniform hypergraph with maximum edge degree Δ(𝐻) at most Δ 𝐻 ≤ 0.17 𝑛 ln 𝑛 1 2 2 𝑛−1 then 𝐻 is 2-colorable.
  • 6. Recent progress The proof is based on Pluhár’s criterion for 𝑟-colorability of an arbitrary hypergraph in terms of ordered 𝑟-chains. UPDATE: Theorem holds for arbitrary number of colors 𝑟 with 𝑐 𝑟 replaced by an absolute constant 𝑐. Theorem (D. Cherkashin, J. Kozik, 2013) Suppose 𝑟 is fixed. Then for any sufficiently large 𝑛, if 𝐻 is an 𝑛-uniform hypergraph with Δ(𝐻) at most Δ 𝐻 ≤ 𝑐 𝑟 𝑛 ln 𝑛 𝑟−1 𝑟 𝑟 𝑛−1 then 𝐻 is 𝑟-colorable.
  • 7. Colorings of simple hypergraphs • A hypergraph 𝐻 = (𝑉, 𝐸) is called simple if every two of its distinct edges have at most one common vertex (as in graphs), i.e. for any 𝐴, 𝐵 ∈ 𝐸, 𝐴 ≠ 𝐵, |𝐴 ∩ 𝐵| ≤ 1. It turns out that it is somehow easier to color simple hypergraphs. Theorem (Z. Szabó, 1990) For any 𝜀 > 0, there is 𝑛0 such that for any 𝑛 > 𝑛0, the following statement holds: if 𝐻 is an 𝑛-uniform simple hypergraph with Δ(𝐻) at most Δ 𝐻 ≤ 2 𝑛−1 𝑛1−𝜀 then 𝐻 is 2-colorable.
  • 8. Recent improvements Theorem (A. Kupavskii, D. Shabanov, 2013) For any 𝑛, 𝑟 ≥ 2, if 𝐻 is an 𝑛-uniform simple hypergraph with Δ 𝐻 ≤ 𝑐 𝑛 ln ln 𝑛 2 ln 𝑛 𝑟 𝑛−1, then 𝐻 is 𝑟-colorable. Theorem (J. Kozik, 2013) If 𝑛 > 𝑛0(𝑟) and 𝐻 is an 𝑛-uniform simple hypergraph with Δ 𝐻 ≤ 𝑐 𝑛 ln 𝑛 𝑟 𝑛−1, then 𝐻 is 𝑟-colorable.
  • 9. Main new result The proofs of the mentioned theorems appeared to be “orthogonal”. The joined efforts led to the following result. Theorem holds for any 𝑛 and 𝑟 as in the classical Theorem of Erdős and Lovász. Theorem (J. Kozik, D. Shabanov, 2014+) If 𝐻 is an 𝑛-uniform simple hypergraph with maximum edge degree Δ(𝐻) at most Δ 𝐻 ≤ 𝑐 ⋅ 𝑛 𝑟 𝑛−1, where 𝑐 > 0 is an absolute constant, then 𝐻 is 𝑟-colorable.
  • 10. Comparison with other results • We proved that any 𝑛 -uniform simple non- 𝑟 -colorable hypergraph 𝐻 satisfies Δ 𝐻 ≥ 𝑐 ⋅ 𝑛 𝑟 𝑛−1. • If 𝑟 is a constant then this lower bound is 𝑛 times smaller than the upper bound given by A. Kostochka and V. Rödl who showed that there exists an 𝑛-uniform simple non-𝑟-colorable hypergraph 𝐻 with Δ 𝐻 ≤ 𝑛2 𝑟 𝑛−1 ln 𝑟 . • For large 𝑟, A. Frieze and D. Mubayi established that any 𝑛- uniform simple non-𝑟-colorable hypergraph 𝐻 satisfies Δ 𝐻 ≥ 𝑐 𝑛 𝑟 𝑛−1 ln 𝑟 with 𝑐 𝑛 = 𝑂(𝑛2−2𝑛 ).
  • 11. Property B conjecture Let 𝑚(𝑛) denote the minimum possible number of edges in an 𝑛-uniform non-2-colorable hypergraph. Similar problem: Let Δ(𝑛) denote the minimum possible value of the maximum edge degree in an 𝑛-uniform non-2-colorable hypergraph. Conjecture: Δ 𝑛 = Θ 𝑛2 𝑛 . We proved the lower bound in the class of simple hypergraphs. Conjecture (P. Erdős, L. Lovász, 1973) 𝑚 𝑛 = Θ 𝑛2 𝑛 .
  • 12. Ingredients of the proof • Random recoloring method • Almost complete analysis of the recoloring procedure (h-tree construction) • Special variant of the Local Lemma
  • 13. Random recoloring method Suppose 𝐻 = (𝑉, 𝐸) is an 𝑛-uniform simple hypergraph. Without loss of generality assume that 𝑉 = {1, … , 𝑚}. Let 𝑋1, … , 𝑋 𝑚 be independent random variables with uniform distribution on [0,1], weights of the vertices. Let 𝑝 ∈ (0,1) be a real number. A vertex 𝑣 ∈ 𝑉 is called a free vertex if 𝑋 𝑣 ≤ 𝑝. Only free vertices are allowed to recolor during the recoloring procedure. FIRST STAGE Color every vertex randomly and independently with 𝑟 colors. The obtained coloring is called initial.
  • 14. Recoloring procedure SECOND STAGE 1. Start with initial coloring. 2. If in the current coloring there is a monochromatic edge 𝐴 (of some color 𝛼) containing a free vertex which has not been recolored yet, then – take a free vertex 𝑣 of 𝐴 with initial color 𝛼 and the least weight 𝑋 𝑣; – recolor 𝑣 with color 𝛼 𝑚𝑜𝑑 𝑟 + 1. 3. Repeat step 2 until there is no monochromatic edges with non-recolored free vertices.
  • 15. Recoloring procedure In such situation we say that the third vertex blames the edge 𝐴.
  • 16. Construction of an h-tree Suppose that recoloring procedure fails and in the final coloring there is a monochromatic edge 𝐴 (root of the directed tree) of some color 𝛼. Then every vertex of 𝐴 • either has initial color 𝛼 and is not free • or has initial color 𝛼 − 1, is free and was recolored with 𝛼 during the recoloring process Every vertex of the second type 𝐴 blames some other edge (choose one for every vertex). Let 𝐵1, … , 𝐵𝑠 be these edges. We add them to the h-tree as neighbors of 𝐴. 𝐵1, … , 𝐵𝑠
  • 17. Construction of an h-tree Every edge from 𝐵1, … , 𝐵𝑠 became completely monochromatic of a color 𝛼 − 1 at some step of the recoloring procedure. So, in the initial coloring 𝐵𝑖 can contain the vertices of a color 𝛼 − 2 which were recolored with 𝛼 − 1. Every such vertex blames some edges (choose one for every vertex), we add them as neighbors of 𝐵𝑖 in the h-tree. Continue the process if possible. OBSERVATIONS 1. The edges 𝐶𝑖,1, … , 𝐶𝑖,𝑗 are different 𝐵𝑖 for every 𝑖. 2. The edges 𝐶𝑖,𝑟 and 𝐶 𝑘,𝑑 can coincide for different 𝑖 ≠ 𝑘. 3. The leaves of the h-tree are monochromatic in the initial coloring. 𝐶𝑖,1, … , 𝐶𝑖,𝑗
  • 18. Analysis of bad events There could be the following configurations in the h-tree. 1. The edges of the h-tree form a real hypertree. 2. There are cycles in the h-tree. In this case we take the smallest subtree containing a cycle. 𝐴 Then either there is a short cycle (of length ≤ 2 ln 𝑛) or there is a large acyclic subtree (of length > ln 𝑛).
  • 19. Local Lemma Theorem (Local Lemma, polynomial style) Suppose that 𝑋1, … , 𝑋 𝑁 are independent random variables and 𝐴1, … , 𝐴 𝑀 are events from the algebra generated by them. Let 𝑣(𝐴𝑖) denote the smallest set of variables 𝑋𝑗 such that 𝐴𝑖 ∈ 𝜎(𝑋𝑗, 𝑗 ∈ 𝑣(𝐴𝑖)). Denote for 𝑗 = 1, … , 𝑁, 𝑤𝑗 𝑧 = 𝐴:𝑋 𝑗∈ 𝑣 𝐴 Pr 𝐴 𝑧 𝑣(𝐴) . Suppose that there exists a polynomial 𝑤 𝑧 such that 𝑤 𝑧 ≥ 𝑤𝑗 𝑧 for every 𝑗 and 𝑧 ≥ 1. If, moreover, there is a real number 𝜏 ∈ (0,1) such that 𝑤 1 1−𝜏 ≤ 𝜏, then Pr 𝑖=1 𝑀 𝐴𝑖 > 0.
  • 20. Application: Van der Waerden Number The function 𝑊(𝑛, 𝑟) from the Van der Waerden Theorem is called the Van der Waerden function or the Van der Waerden number. Question: how can we estimate 𝑊 𝑛, 𝑟 ? Theorem (B. Van der Waerden, 1927) For any integers 𝑛 ≥ 3, 𝑟 ≥ 2, there exists the smallest number 𝑊(𝑛, 𝑟) such that in any 𝑟-coloring of the set of integers {1, … , 𝑊(𝑛, 𝑟)} there is a monochromatic arithmetic progression of length 𝑛.
  • 21. Known bounds for W(n,r) The best general upper bound was obtained by W.T. Gowers (2001): 𝑊 𝑛, 𝑟 ≤ 22 𝑟22 𝑛+9 . In the particular cases 𝑛 = 3,4 the best results are due to T. Sanders (2011), B. Green and T. Tao (2009). Known lower bounds are very far away from Gowers’ tower. E. Berlekamp (1968) 𝑊 𝑝 + 1,2 ≥ 𝑝2 𝑝 , 𝑝 is a prime. Z. Szabó (1990) 𝑊 𝑛, 2 ≥ 2 𝑛 𝑛−𝜀, provided 𝑛 > 𝑛0(𝜀)
  • 22. New lower bound for W(n,r) This improves the previous results for 𝑊 𝑛, 2 of the type 2 𝑛 𝑛−𝜀. When the number of colors is large in comparison with progression length (say, 𝑟 > 2 𝑐 𝑛 ln𝑛 ), a better lower bound can be obtained by using Hypergraph Symmetry Theorem. Theorem (J. Kozik, D. Shabanov, 2014+) For any 𝑛 ≥ 3, 𝑟 ≥ 2, 𝑊 𝑛, 𝑟 ≥ 𝑐 ⋅ 𝑟 𝑛−1, where 𝑐 > 0 is an absolute constant.
  • 23. Ideas of the proof • We have to show that the hypergraph of arithmetic progressions (vertex set = {1, … , 𝑁}, edges are arithmetic progressions of length 𝑛) is 𝑟-colorable. • This hypergraph of arithmetic progressions is not simple, but (in some sense) close to be simple. • Its codegree is at most 𝑛2 (not 1, as in simple hypergraphs) which is sufficient for our probabilistic construction. • Use the same random recoloring procedure. • We have to deal with 2-cycles in h-trees, especially with situations when there are two edges with a lot of common vertices (> 𝑛/2).