南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)The Probabilistic Method

R 以 The probabilistic Method Paul Erdos
The Probabilistic Method Paul Erdős

Theorem (Erdos 1947) If(份-21-均<1 then it is possible to color the edges of Kn with two colors so that there is no monochromatic Kk subgraph. For each edge ee Kn, with prob 1/2 e is colored l0● with prob 1/2 For a particular Kk,(edges Pr[Kk Or K]=2l-匀
If n k ⇥ · 21 k 2 ⇥ < 1 then it is possible to color the edges of Kn with two colors so that there is no monochromatic Kk subgraph. Theorem (Erdős 1947) e is colored with prob 1/2 with prob 1/2 For a particular Kk , k 2 ⇥ edges Pr[ or ] = 21 k 2 ⇥ Kk Kk For each edge e Kn

Theorem (Erdos 1947) If(份-21-均<1 then it is possible to color the edges of Kn with two colors so that there is no monochromatic Kk subgraph. For a particular Kk, Pr[the Kk is monochromatic]=21-() number of Kk in Kn: () Pr[3a monochromatic Kk] ≤(2- )<1
If n k ⇥ · 21 k 2 ⇥ < 1 then it is possible to color the edges of Kn with two colors so that there is no monochromatic Kk subgraph. Theorem (Erdős 1947) For a particular Kk , Pr[the Kk is monochromatic] = 21 k 2 ⇥ number of Kk in Kn: n k ⇥ Pr[ a monochromatic Kk ] ⇤ n k ⇥ · 21 k 2 ⇥ < 1

Theorem (Erdos 1947) If(份-21-均0 There exists a two-coloring without monochromatic Kk
If n k ⇥ · 21 k 2 ⇥ 0 There exists a two-coloring without monochromatic . Kk

Tournament T(V,E) n players,each pair has a match. u points to v iff u beats v. k-paradoxical: For every k-subset S of V, there is a player in S who 4 beats all players in S. "Does there exist a k-paradoxical tournament for every finite k?
Tournament n players, each pair has a match. u points to v iff u beats v. k-paradoxical: For every k-subset S of V, there is a player in V \ S who beats all players in S. T(V, E) “Does there exist a k-paradoxical tournament for every finite k?

Theorem(Erd6s 1963) If ()(1-)<1 then there is a k-paradoxical tournament of n players. Pick a random tournament T on n players [n]. Fixed any S∈ . Event As:no player in V\beat all players in S. PrAs=(1-2k)”-
If n k ⇥ 1 2k⇥nk < 1 then there is a k-paradoxical tournament of n players. Theorem (Erdős 1963) Pick a random tournament T on n players [n]. Fixed any S [n] k ⇥ Event AS : no player in V \S beat all players in S. Pr[AS] = 1 2k⇥nk

Theorem(Erd6s 1963) If()(1-2-k)”- 1 then there is a k-paradoxical tournament of n players. Pick a random tournament T on n players [n]. Event As:no player in \S beat all players in S. Pr[As=(1-2k)”-k Pr ≤∑(1-2k)-k <1 s∈() S∈()
If n k ⇥ 1 2k⇥nk < 1 then there is a k-paradoxical tournament of n players. Theorem (Erdős 1963) Pick a random tournament T on n players [n]. Event AS : no player in V \S beat all players in S. Pr[AS] = 1 2k⇥nk Pr < 1 ⇧ ⇤ ⌥ S( [n] k ) AS ⇥ ⌃ ⌅ ⇥ S⇥( [n] k ) (1 2k) nk

Theorem(Erd6s 1963) If ()(1-2-k)"<1 thon there is a k-paradoxical tournament of n players. Pick a random tournament T on n players [n]. Event As no player in \S beat all players in S. V<1 se() 0 S∈()
If n k ⇥ 1 2k⇥nk 0

Theorem(Erdos 1963) If (R)(1-2-k)"0 There is a k-paradoxical tournament on n players
If n k ⇥ 1 2k⇥nk 0 There is a k-paradoxical tournament on n players

The probabilistic Method Pick random ball from a box, 00 Pr[the ball is blue]>0 000 →There is a blue ball. Define a probability space O,and a property P: Pr[P(x)]>0 X >xE with the property P
The Probabilistic Method • Pick random ball from a box, Pr[the ball is blue]>0. ⇒ There is a blue ball. • Define a probability space Ω, and a property P: Pr x [P(x)] > 0 = ⇤x ⇥ with the property P
按次数下载不扣除下载券;
注册用户24小时内重复下载只扣除一次;
顺序:VIP每日次数-->可用次数-->下载券;
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)Existence.pdf
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)Extremal Combinatorics.pdf
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)The Sieve Methods.pdf
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)Catalan Number.pdf
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)Generating Functions.pdf
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)Basic Enumeration.pdf
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)Basic Enumeration(主讲:尹一通).pdf
- 电子科技大学:《泛函分析 Functional Analysis》课程教学资源(课件讲稿)Sobolev空间 SobolevSpace(Lp空间插值).pdf
- 电子科技大学:《泛函分析 Functional Analysis》课程教学资源(课件讲稿)Sobolev空间 SobolevSpace.pdf
- 电子科技大学:《泛函分析 Functional Analysis》课程教学资源(课件讲稿)Sobolev空间 SobolevSpace(广义函数).pdf
- 电子科技大学:《泛函分析 Functional Analysis》课程教学资源(课件讲稿)Sobolev空间 SobolevSpace(辅助知识).pdf
- 电子科技大学:《泛函分析 Functional Analysis》课程教学资源(课件讲稿)CH06 有界线性算子的谱理论 Spetral theory of linear bounded operators.pdf
- 电子科技大学:《泛函分析 Functional Analysis》课程教学资源(课件讲稿)CH05 紧算子和Fredholm算子 Compact Operator & Fredholm Operator.pdf
- 电子科技大学:《泛函分析 Functional Analysis》课程教学资源(课件讲稿)CH04 对偶空间理论 Theory of Dual Space.pdf
- 电子科技大学:《泛函分析 Functional Analysis》课程教学资源(课件讲稿)CH03 Hilbert空间 Hilbert Space.pdf
- 电子科技大学:《泛函分析 Functional Analysis》课程教学资源(课件讲稿)CH02 Banach空间 Banach Space.pdf
- 电子科技大学:《泛函分析 Functional Analysis》课程教学资源(课件讲稿)CH01 度量空间 Metric Space.pdf
- 电子科技大学:《图论及其应用 Graph Theory and its Applications》研究生课程教学资源(课件讲稿)29 期末复习.pdf
- 电子科技大学:《图论及其应用 Graph Theory and its Applications》研究生课程教学资源(课件讲稿)28 有向图.pdf
- 电子科技大学:《图论及其应用 Graph Theory and its Applications》研究生课程教学资源(课件讲稿)27 拉姆齐问题简介.pdf
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)Extremal Combinatorics.pdf
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)Ramsey Theory-1.pdf
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)Ramsey Theory-2.pdf
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)Ramsey Theory.pdf
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)Matching Theory.pdf
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)Flow and Matching.pdf
- 南京大学:《组合数学 Combinatorics》课程教学资源(课件讲稿)Linear Programming.pdf
- 南京大学:《概率与计算 Probability and Computing》课程教学资源(课件讲稿)random1.pdf
- 南京大学:《概率与计算 Probability and Computing》课程教学资源(课件讲稿)random2.pdf
- 南京大学:《概率与计算 Probability and Computing》课程教学资源(课件讲稿)random3.pdf
- 南京大学:《概率与计算 Probability and Computing》课程教学资源(课件讲稿)random4.pdf
- 南京大学:《概率与计算 Probability and Computing》课程教学资源(课件讲稿)random5.pdf
- 南京大学:《概率与计算 Probability and Computing》课程教学资源(课件讲稿)random6.pdf
- 南京大学:《概率与计算 Probability and Computing》课程教学资源(课件讲稿)random7.pdf
- 南京大学:《概率与计算 Probability and Computing》课程教学资源(课件讲稿)random10.pdf
- 南京大学:《概率与计算 Probability and Computing》课程教学资源(课件讲稿)random11.pdf
- 南京大学:《概率与计算 Probability and Computing》课程教学资源(课件讲稿)random12.pdf
- 南京大学:《概率与计算 Probability and Computing》课程教学资源(课件讲稿)random13.pdf
- 南京大学:《概率与计算 Probability and Computing》课程教学资源(课件讲稿)random8.pdf
- 南京大学:《概率与计算 Probability and Computing》课程教学资源(课件讲稿)random9.pdf