Combinatorics Ideas of Proofs Flashcards

1
Q

idea of proof for the increasing/decreasing subsequence of length s+1/t+1 in a sequence of n distinct real numbers n>st (PROOF 1)[piles]

(erdos szekeres lemma)

A
  • consider the following algorithm
    (1) put a₁ onto pile 1
    (2) Assume that we have already organised elements a₁, a₂, … , aᵢ₋₁ into piles 1,2,..,r
    (3) add aᵢ to a correct pile: Let j∈[r] be smallest such that aᵢ is greater than the top element of pile j. Put aᵢ on top of pile j. Other we put aᵢ onoto a new pile r+1.
    (4) repeat until out of aᵢs
  • Note that at any point during the algorithm the element in each pile forms an increasing subsequence. If there exists a pile with s+1 elements, then we have an increasing subsequence of length s+1 as required.
  • Now assume all piles have atmost s (st, we must have atleast t+1 piles. Repeat the following. Let aᵢₜ₊₁ be the top element of pile t+1. When aᵢₜ₊₁ is added it is smaller than all the top elements in piles 1,2,…,t. Let aᵢₜ be the top element of pile t at this point in time. Note aᵢₜ₊₁ < aᵢₜ and iₜ < iₜ₊₁. Repeating this we get an increasing subsequence of length t+1 as required.
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2
Q

idea of proof for Schurs theorem

A
  • Let n = Rₖ(3,3,…,3) and let c be any k colouring of [n]
  • define a k-edge-colouring c’ of Kₙ with vertex set [n] as follows c’(ij) = c(j-i)
  • by our definition of n we have that there exists a monochromatic K₃ in c’ (let p,q,r be the verticies of this)
  • Note, c’(pq)=c’(rq)=c’(pr)
  • Let x = q-p, y=r-q and z=r-p. Now by the definition of c’ we have that c(x)=c(y)=c(z) moreover x+y=(q-p)+(r-p)=q-r=z as required
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3
Q

Idea of proof for R(sK₂, tK₂)=2s+t-1 [upper bound]

A
  • proceed by induction on t
  • for t=1 use prop 1.4.
  • Let n=2s+t-1.
  • If Kₙ is monochromatic then we can find a red sK₂ or a blue tK₂ easily.
  • if some red edge xy and blue edge xz from a vertex x then we delete x,y,z.
  • Then n-3 = R((s-1)K₂,(t-1)K₂) (just sub in and manipulate). So by induction hypothesis and combining with either xy or xz we get a red sK₂ r a blue tK₂ respectively.
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4
Q

Idea of proof for R(sK₂, tK₂)=2s+t-1 [lower bound]

A

Consider a K₂ₛ₊ₜ₋₂ with vertex set [2s+t-2]. Colour the edge ij red if i,j⩽2s-1 otherwise colour it blue.

  • can’t make a red sK₂ because not enough vertices (only 2s-1 but need 2s)
  • Each blue edge must contain a vertex in [2s,2s+t-2] so a blue matching has at most |[2s,2s+t-2]| = t-1 edges. so no blue tK₂
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5
Q

Idea of proof for R(ℓK₂, Kₜ) = 2ℓ + t -2 [upper bound]

A
  • proceed by induction on ℓ.
  • ℓ=1 holds by prop 1.4.
  • if edges all blue we are done.
  • if edge xy is red remove it. By induction hyp there is a red (ℓ-1)K₂ or a blue Kₜ. Combine with the red edge xy and we are done.
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6
Q

Idea of proof for R(ℓK₂, Kₜ) = 2ℓ + t -2 [lower bound]

A

Consider a K₂ℓ₊ₜ₋₃ with vertex set [2ℓ+t-2]. Colour the edge ij red if i,j⩽2ℓ-1 otherwise colour it blue.

  • can’t make a red ℓK₂ because not enough vertices (only 2ℓ-1 but need 2ℓ)
  • can’t make a blue Kₜ because we can have atmost one edge in the set [2ℓ-1] so total of 1 + (2ℓ+t-3)-(2ℓ-1)=t-1 vetices which isnt enough.
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7
Q

Idea of proof to show ramsey number for graphs are well defined.

A

Let s = |V(G)| and t=|V(H)|. Let n=R(s,t). By definition in Kₙ there exists a red Kₛ or a blue Kₜ and G is a subgraph of Kₛ and H is a subgraph of Kₜ.

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8
Q

Idea of proof for R(t)>⌊2^(t/2)⌋

A
  • Let n=⌊2^(t/2)⌋ (floor makes n an integer)
  • By Erdos Theorem it suffices to show that (n choose t)*2^(1-(t choose 2))<1.
    On the LHS: use the fact n(n-1)…(n-t-1)⩽nᵗ, sub in value for n, replace 1+t/2 with t-1 since t≥4, put as a product which will be < 1.
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9
Q

Idea of proof 1. for Erdos Theorem. [random colouring]

A
  • colour Kₙ red/blue uniformly, ranomly and independently.
  • Let X be the number of monochromatic copies of Kₜ in this random edge-colouring. We would like to bound the expectation of X from above 𝔼(X).
  • Fix a set of T vertices note that the probability that T induced a monochromatic Kₜ = 2*(1/2)^(t choose 2).
  • Note that there are n choose t ways of choosing t vertices in Kₙ
  • Hence 𝔼(X) = sum of the probabilities T induced a monochromatic Kₜ = (n choose t)*2^(1 - t choose 2) <1.
  • Since x is an integer which is greater than 0 we have that 1 > 𝔼(X) = sum of i * probability X=i ≥ sum of probability X =i = sum of probability X>0
  • So we have that with a positive probability our random colouring does not contain a monochromatic Kₜ
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10
Q

Idea of proof for R(3,4)=9 [lower bound]

A
  • need to show a red/blue-edge-colouring of K₈ without a red K₃ or a blue K₄
  • Let the vertices of K₈ be [8] colour the edge ij blue if i-j≡±1, ±2 mod 8 and red otherwise.
  • assume a red K₃ containing vertex 3. The other vertices must lie in {4,5,6} however these are all adjacent and joined with blue edges. a contradiction.
  • assume a blue K₄ containing vertex 1. grouping vertices in {7,8,1,2,3} diagonally we see that a blue K₄ contains at most one vertex in {2,7} and one vertex in {3,8}. 4 = |blue K₄| = |V(K₄)∩{1}|+|V(K₄)∩{2,7}|+|V(K₄)∩{3,8}| <= 3 a contradiction
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11
Q

Idea of proof for R(3,4)=9 [upperbound] case 3

A
  • consider any red/blue-edge colouring of K₉
  • case 3: Every vertex is incident to exactly 3 red edges and 5 blue edges. Count the number of red edges (3*9)/2 not an integer so contradiction and case 3 never happens.
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12
Q

Idea of proof for R(3,4)=9 [upperbound] case 2

A
  • consider any red/blue-edge colouring of K₉
  • case 2: a vertex of K₉ which is incident with at least 6 blue edges. the complete graph induced on these incident vertices contains a red K₃ or a blue K₃ (R(3,3)=6). In the former case we are done. In the latter case pairing this blue K₃ with the original vertex we get a blue K₄.
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13
Q

Idea of proof for R(3,4)=9 [upperbound] case 1

A
  • consider any red/blue-edge colouring of K₉
  • case 1: a vertex of K₉ incident with at least 4 red edges. If any pair of these incident vertices are red then we have a red K₃. If none are red then all are blue so they form a blue K₄.
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14
Q

Idea of proof for existence of Rₖ(s₁,s₂,…,sₖ)

A
  • proceed induction on k (no. colours)
  • we know true for k<3.
  • Let m = Rₖ₋₁(s₁,s₂,…,sₖ) and n= R₂(m,sₖ) (these exist by induction hyp and base case)
  • consider any edge colouring c of Kₙ with colours c₁,c₂,..,cₖ
  • define a new red/blue edge colouring c* of Kₙ where c*(e) = red is c(e)∈{c₁,c₂,..,cₖ₋₁} and blue otherwise.
  • By def from n there exists a red Kₘ or a blue Kₛₖ .
  • In latter case we are done.
  • In former case by definition of m there exists a monochromatic copy of Kₛᵢ with colour cᵢ for some i∈[k-1].
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15
Q

Idea of proof for proposition 1.7. R(s,t)⩽2²ᵗ⁻¹.

A
  • Let n = 2²ᵗ⁻¹
  • let x₁ be a vertex note x₁ is joined to n-1 = 2²ᵗ⁻¹ = 2²ᵗ⁻²+2²ᵗ⁻²-1 edges coloured red or blue
  • by the pigeonhole principle, there exists N₁=2²ᵗ⁻² of the same colour c₁ joined to x₁
  • Let V1 of size N1 be a vertex set such that for every y∈V1 x1y is coloured c1.
  • Now repeat the argument in V1
  • repeat 2t-1 times
  • for j>i the edge xixj is coloured ci (*)
  • We obtain a sequence of vertices xᵢ such that xᵢxj is either red or blue.
  • By the pigeonhole principle there exists a monochromatic subsequence of xᵢ. It follows these vertices form a monochromatic copy of Kt.
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16
Q

Idea of proof for corollary R(s,t)⩽(s+t-2 choose s-1)

A
  • proceed by induction on s+t
  • when min{s,t}⩽2 then it holds by proposition 1.4.
  • by erdos szekeres theorem we have R(s,t)⩽R(s-1,t)+R(s,t-1)
  • by the induction hypothesis
    R(s,t) ⩽ (s+t-3 s-2) + (s+t-3 s-1) = (s+t-2 s-1)
    where the last equality holds by the binomial identity.
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17
Q

Idea of proof for erdos and szekeves.

A
  • proceed by induction on s+t
  • base case if min{s,t}⩽2 then R(s,t) exists by proposition 1.4.
  • assume the statement holds for s,t
  • Let p=R(s-1,t) and q=(s,t-1). Let n=p+q.It suffices to show there always exists a red Kₛ of a blue Kₜ.
  • Let x be a vertex of Kₙ. Note x is incident with n-1=p+q-1 edges.
  • Apply pigeonhole principle (and assume w.l.g 3 red edges_
  • by def of p there is a blue Kₜ or a red Kₛ₋₁
  • If there is a blue Kₜ we are done
  • if there is a red Kₛ₋₁ then together with the red edges to x it forms a red kₛ
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18
Q

idea of proof for R(3,3)=6 (upper bound)

A

UPPER BOUND

  • Need to show all red/blue-edge-colourings of K₆ contain a monochromatic K₃.
  • Let x be a vertex in V(K₆). x is incident to 5 edges and each edge is coloured red or blue.
  • By the pigeonhole principle x is joined to at least 3 edges of either red or blue. w.l.g. let y₁,y₂,y₃ be vertices s.t. the edge xyᵢ is red.
  • If yᵢyⱼ is red then x,yᵢ,yⱼ is a red K₃.
  • If yᵢyⱼ is blue for all i,j then y₁,y₂,y₃ forms a blue K₃
  • Thus R(3)⩽6.
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19
Q

idea of proof for R(3,3)=6 (lower bound)

A
LOWER BOUND
show a red/blue-edge-colouring of K₅ without a red K₃ or a blue K₃. Let V(K₅)=[5]. For distinct i,j∈[5} colour the edge ij red if j-i≡±1mod5 and blue otherwise. Both the red and blue subgraphs are cycles of length 5 edges. Hence there is no monochromatic K₃.
Thus R(3)>5
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20
Q

idea of pigeonhole principle proof

A
  • suppose the contrary for a contradiction (ie suppose for each i in 1 up to k there are at most sᵢ numbers of colour cᵢ)
  • otherwise n = sum over i in 1 up to k of the number of numbers with colour cᵢ which is less than or equal to the sum over i in 1 up to k of sᵢ < n
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21
Q

Set up for the lower bound of R(3,3,)=6

A
Let V(K₅) = [5]
For distinct i,j∈[5] colour the edge ij red if j-i≡±1mod5 and blue otherwise.
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22
Q

p in erdos szekeres theorem

A

p = R(s-1,t)

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23
Q

q in erdos szekeres theorem

A

q = R(s,t-1)

24
Q

n in erdos szekeres theorem

A

p+q

also the number of vertices in the complete graph

25
Q

if x∈V(Kₙ) how many edges in x incident with

erdos szekeres theorem proof

A

n-1 = p+q-1

26
Q

pigeonhole principle in erdos szekeres theorem proof

A

if x is incident with n-1=p+q-1 red or blue edges then by the pigeonhole principle there exists p red edges or q blue edges incident with x.

27
Q
binomial property (n choose k)
(proof of corollary of erdos szekeres theorem)
A

(n-1 choose k-1) + (n-1 choose k) = (n choose k)

28
Q

sum from i=0 to m (m choose i)
identity for latter part
(proof of corollary of erdos szekeres theorem)

A

2^m

29
Q

overview of proof of R(s,t) ⩽ 2²ᵗ⁻¹

A
  • pick a vertex in the complete graph.
  • pick the colour that appears the most for that vertex, throw away the vertices connected by the unchosen colour
  • pick a vertex in the set of vertices connected to the 1st by the chosen colour
  • repeat 2t-1 times
30
Q

sum over i in n of ℙ(X=i) =

proof of erdos theorem

A

ℙ(X>0)

31
Q

X

proof of erdos theorem

A

Let X be the number of monochromatic copies of Kₜ in the random edge colouring of Kn.

32
Q

there are n choose t ways of….

A

choosing t vertices in Kₙ

33
Q

n(n-1)….(n-t-1) ≤

proof of corollary of erdos theorem

A

n^t

34
Q

Algorithm for proof of increasing/decreasing subsequence of length s+1/t+1 in a sequence of n distinct real numbers n>st

A

(1) put a₁ onto pile 1
(2) Assume that we have already organised elements a₁, a₂, … , aᵢ₋₁ into piles 1,2,..,r
(3) add aᵢ to a correct pile: Let j∈[r] be smallest such that aᵢ is greater than the top element of pile j. Put aᵢ on top of pile j. Other we put aᵢ onoto a new pile r+1.
(4) repeat until out of aᵢs

35
Q

case 1 in proof of upperbound of R(s,t)=9

A

There exists an x that is incident with at least 4 red edges

36
Q

case 2 in proof of upperbound of R(s,t)=9

A

There exists an x that is incident with at least 6 blue edges

37
Q

case 3 in proof of upperbound of R(3,4)=9

A

Every vertex is incident with exactly 3 red edges and 5 blue edges

38
Q

X in proof of erdos theorem

A

X is the number of monochromatic copies of Kₜ in the random edge colouring.

39
Q

(n choose t) is the number of ways….

proof of erdos theorem

A

to choose t vertices in Kₙ

40
Q

Expectation of X =

proof of erdos theorem

A

sum over i in natural numbers of i multiplied by the probability X=i

41
Q

2^(1+t/2) is less than or equal to

corollary of erdos theorem

A

2^(t-1)

42
Q

1/t! * 2^(t-1) is equal to

corollary of erdos theorem

A

the product from i=2 to t of 2/i

43
Q

the colouring c’ in the proof of schurs theorem

A

Define an edge colouring c’ of Kₙ with vertex set [n] as follows: for i and j between 1 and n then c’(ij)=c)j-i)

44
Q

x in proof of schurs theorem

A

x = q-p

45
Q

y in proof of schurs theorem

A

y=r-q

46
Q

z in proof of schurs theorem

A

z=r-p

47
Q

What type of proof is proof for existence of Rₖ(s₁,s₂,…,sₖ)

A

induction on k with a colour blindness argument

48
Q

First step in proof of R(s,t)⩽2²ᵗ⁻¹

same for latter steps, but with different sets

A

Let x₁ be a vertex in V(Kₙ).
Note x₁ is joined to n-1 = 2²ᵗ⁻¹ -1 edges which can be red or blue.
By the pigeonhole principle there exists N₁=2²ᵗ⁻² of the same colour c₁ joined to x₁.
Let V₁ of size N₁ be a vertex set such that for every y in V₁ x₁y is coloured with colour c₁.

49
Q

overview of last part of proof of R(t)⩽2²ᵗ⁻¹

A

repeating this argument 2t-1 times we obtain vertices x₁,…,x₂ₜ₋₁ with xᵢxᵢ₊₁ coloured with colour c₁,…,c₂ₜ₋₁ and vertex sets V₁,…,V₂ₜ₋₁ such that xᵢ₊₁∈Vᵢ for all i∈[2t-2].
Since each cᵢ is either red or blue then by the pigeonhole principle there exists an increasing sequence xᵢ₁,…,xᵢₜ of colour red of blue. Therefore xᵢ₁,…,xᵢₜ forms a monochromatic Kt which is either red or blue.

50
Q

Manipulation of (n choose t)*2^(1-(t choose 2)) in proof of R(t)>⌊2^(t/2)⌋

A
  • write out n choose t and cancel (n-t)!
  • n(n-1)…*(n-t+1)<=n^t
  • sub in value of n (<= again because of floor)
  • combine the powers of 2 (1/t! *2^(1+t/2))
  • since t>=4 replace 1+t/2 with t-1
  • this is equal to the product from i=2 to t of 2/i < 1
51
Q

Last pigeonhole principle in proof of R(t)⩽2²ᵗ⁻¹

A

By the pigeonhole principle there exists a monochromatic subsequence of xᵢ. It follows these vertices form a monochromatic copy of Kt.

52
Q

Why is it possible to repeat the process 2t-1 times in proof of R(t)⩽2²ᵗ⁻¹

A

since n=2²ᵗ⁻¹ and we keep half the vertices in each step.

53
Q

type of proof R(s,t)⩽(s+t-2 choose s-1)

A

induction of s+t, uses erdos szekeres

54
Q

type of proof R(t)⩽2²ᵗ⁻¹

A

direct proof (choose x, pigeonhole principle, repeat inside itself)

55
Q

type of proof erdos szekeres

A

induction on s+t (define p,q to be induction hyp, choose x, apply PP then induction hyp)

56
Q

m in proof of existence ramsey number for multiple colours

A

m = Rₖ₋₁(s₁,s₂,…,sₖ) (exists by induction hyp)

57
Q

n in proof of existence ramsey number for multiple colours

A

n= R₂(m,sₖ) (exists by base case)