Erdős Magic

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The twentieth century saw the elevation of Discrete Mathematics from ”the slums of topology” (one of the more polite expressions!) to its current highly regarded position in the mathematical pantheon. Paul Erd˝os played a key role in this transformation. We call discuss some key results, possibly including: i) Ramsey Theory. In 1946 Erdős showed that you could two-color the complete graph on n vertices so as to avoid a monochromatic clique of size k, where n was exponential in k. To do it, he introduced The Probabilistic Method. ii) Two-Coloring. In 1963 Erdős showed that given any m = 2 n − 1 sets, each of size n, one could two-color the underlying points so that none of the sets were monochromatic. His proof in two words: Color Randomly! There has been much work on larger m. We give a simple algorithm (together with a subtle analysis) of Cherkashin and Kozik that finds a coloring for the best known (so far!) m. iii) Number Theory. In 1940 Erdős , with Marc Kac, showed that the number of prime factors of n satisfies (when appropriately defined) a Gaussian distribution. Amazing! iv) Liar Games. Paul tries to find an integer from 1 to 100 by asking ten Yes/No questions from Carole. BUT, Carole can lie – though at most one time. Can Paul find the number? Or can Carole stop Paul with an Adversary Strategy? Anecdotes and personal recollections of Paul Erdős will be sprinkled liberally thoughout the presentation.

Transcript of Erdős Magic

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Ìîñêâà9 èþíÿ 2014Ìàãèÿ Ýðä�eøàÄæîýë ÑïåíñåðÈíñòèòóò Êóðàíòà

Ó ìåíÿ íåò äîìà. Âåñü ìèð � ìîéäîì. � Ïîë Ýðä�eø

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�àáîòà ñ Ïîëîì Ýðä�eøåì áûëà ïîäîáíà ïðî-ãóëêå â ãîðàõ. Êàæäûé ðàç, êîãäà ÿ äóìàëà,÷òî ìû äîñòèãëè öåëè è çàñëóæèëè îòäûõ,Ïîë óêàçûâàë íà ñëåäóþùóþ âåðøèíó è ìûîòïðàâëÿëèñü ê íåé.� Ôýí ×àí

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Åðä�eø, 1947: Åñëè (

nk

)

21−(k2) < 1, òî ñóùå-ñòâóåò ðàñêðàñêà ð�eáåð Kn â äâà öâåòà áåçîäíîöâåòíûõ Kk.

Äîêàçàòåëüñòâî: Ñëó÷àéíàÿ ðàñêðàñêà!

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Ìåë îäèíàêîâî ïàõíåò â Ìîñêâå, Áî-ñòîíå, Òîêèî, Áîííå, Ïàðèæå VI èÏàðèæå VII. Çàíèìàÿñü ìàòåìàòèêîé,ïðèõîäèòñÿ åçäèòü ïî âñåìó ìèðó, íîêàê-òî ïîëó÷àåòñÿ, ÷òî âñå ìåñòà, êó-äà òû ïîïàäàåøü, ïîõîæè äðóã íà äðó-ãà.� Þðèé Èâàíîâè÷ Ìàíèí

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ß áû ñêàçàë, ÷òî íè îäèí øàõìàòèñòíå îáëàäàë áîëüøåé èíäèâèäóàëüíî-ñòüþ, ÷åì Ñîâåòñêèé ÷åìïèîí, ��èæ-ñêèé âîëøåáíèê�, Ìèõàèë Òàëü. Åãîèãðà â ëó÷øåì âèäå âûäàâàëà ñìå-ëîñòü, êîòîðàÿ ãðàíè÷èò ñ áåççàáîò-íîñòüþ. Îí âñåãäà áûë â ãóùå ñîáû-òèé, ïðèäàâàÿ åùå áîëüøå ñëîæíî-ñòè.  ñâÿçè ñ ýòîé ñêëîííîñòüþ êçàäà÷àì, îí îäíàæäû îòìåòèë: �Òûäîëæåí çàâåñòè ñâîåãî ñîïåðíèêà âò�eìíûé ëåñ, ãäå 2 + 2 = 5, à òðîïàîáðàòíî øèðîêà ëèøü äëÿ îäíîãî�.Äýíèåë Òàììåò, Ìûøëåíèå â ÷èñëàõ5

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Ìàãèÿ Ýðä�eøàÅñëè ñëó÷àéíûé îáúåêò ÿâëÿåòñÿ õî-ðîøèì ñ ïîëîæèòåëüíîé âåðîÿòíîñòüþ,òî õîðîøèé îáúåêò ÎÁßÇÀÍ ñóùå-ñòâîâàòü

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Ñîâðåìåííàÿ ìàãèÿ Ýðä�eøàÅñëè âåðîÿòíîñòíûé àëãîðèòì âûäà-åò õîðîøèé îáúåêò ñ ïîëîæèòåëüíîéâåðîÿòíîñòüþ, òî õîðîøèé îáúåêòÎÁß-ÇÀÍ ñóùåñòâîâàòü

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Ëþáèìàÿ çàäà÷à Ýðä�eøà|Ai| = n, 1 ≤ i ≤ m = 2n−1kÍàéòè ðàñêðàñêó χ â êðàñíûé è ñèíèé öâåòàáåç îäíîöâåòíûõ AiÝðä�eø [1963℄: k < 1 ⇒ ∃χÄîêàçàòåëüñòâî: Ñëó÷àéíàÿ ðàñêðàñêàÂîïðîñ: ×òî íàñ÷�eò áÎëüøèõ k?Ýðä�eø [1964℄: Ñóùåñòâóåò ñåìåéñòâî ñ k =

cn2, íå äîïóñêàþùåå χ

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Äîëãàÿ èñòîðèÿm(n) = 2n−1k n-ìíîæåñòâÁýê [1978℄: k < cn1/3 ⇒ ∃χ�àäêðèøíàí-Øðèíèâàñàí[2000℄

k < c[n/ lnn]1/2 ⇒ ∃χ

ßêîá Êîçèê è Äàíèëà ×åðêàøèí [2014℄:Äîêàçàòåëüñòâî èç êíèãè!

Ïðîñòîé àëãîðèòì - òîíêèé àíàëèç9

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Âåðîÿòíîñòíûé æàäíûé àëãîðèòìÊàæäàÿ âåðøèíà v ïîëó÷àåò äåíü ðîæäåíèÿðàâíîìåðíî èç t(v) ∈ [0,1].Êîãäà v ðîäèëàñüIF ïîêðàñêà v â Ê�ÀÑÍÛÉ íå ñîçäàåò Ê�ÀÑ-ÍÎÅ ìíîæåñòâî eTHEN ÏÎÊ�ÀÑÈÒÜ v â Ê�ÀÑÍÛÉELSE ÏÎÊ�ÀÑÈÒÜ v â ÑÈÍÈÉÀíàëèç: f Ê�ÀÑÍÎÅ � íåâîçìîæíîf ÑÈÍÅÅ: Ïóñòü v � âåðøèíà, ðîæäåííàÿïåðâîé â fÏóñòü t(v) = 1

2(1 + x).Åñòü e, ãäå v ðîæäåíà ïîñëåäíåé, âñå êðîìåv Ê�ÀÑÍÛÅ 10

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Äâà ñëó÷àÿÑëó÷àé I: |x| > p.x < −p. Âñå w ∈ e ìàëåíüêèå: ≤ 2−n(1 − p)nÎæèäàíèå: 2n−1k2−n(1 − p)nÀíàëîãè÷íî äëÿ x > +p. Îáùåå îæèäàíèå:k(1 − p)nÑëó÷àé II: |x| ≤ p.(1 − x)n−1 äëÿ äðóãèõ w ∈ e

(1 + x)n−1 äëÿ äðóãèõ z ∈ f

[(1 − x)(1 + x)]n−1 ≤ 2−2(n−1)

Pr[12(1 − p) ≤ t(v) ≤ 12(1 + p)] = pÎæèäàíèå: (2n−1k)2p2−2(n−1) = k2pÎáùåå îæèäàíèå: k(1 − p)n + k2p

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Çàäà÷à àñèìïòîòè÷åñêîãî àíàëèçàÏóñòü k = k(n) � ìàêñèìàëüíîå çíà÷åíèå,÷òî ñóùåñòâóåò p, 0 ≤ p ≤ 1, âûïîëíÿþùåå

k(1 − p)n + k2p ≤ 1Íàéòè k(n) àñèìïòîòè÷åñêè ïðè n → ∞.Îòâåò:k ∼ c[n/ lnn]1/2Êîçèê-×åðêàøèí: Âûáåðåì ýòè k, p.Àëãîðèòì ÍÅ �ÀÁÎÒÀÅÒ, åñëè ñîçäàåò ÑÈ-ÍÅÅ fÂåðîÿòíîñòü ÍÅÓÄÀ×È ìåíüøå åäèíèöûÂåðîÿòíîñòü ÓÑÏÅÕÀ áîëüøå íóëÿÌàãèÿ Ýðä�eøà: ÓÑÏÅÕ äîëæåí ñóùåñòâî-âàòü! 12

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Ìàòåìàòèêè ïî ñåé äåíü òùåòíî ïû-òàëèñü íàéòè êàêîé-íèáóäü ïîðÿäîê âïîñëåäîâàòåëüíîñòè ïðîñòûõ ÷èñåë,è ó íàñ åñòü îñíîâàíèÿ ïîëàãàòü, ÷òîýòî òàéíà, â êîòîðóþ ÷åëîâå÷åñêèéðàçóì íèêîãäà íå ïðîíèêíåò.Ëåîíàðä Ýéëåð

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Ïîäñ÷�eò ïðîñòûõ äåëèòåëåéν(x) = êîëè÷åñòâî ðàçëè÷íûõ ïðîñòûõ äå-ëèòåëåé xÕàðäè-�àìàíóäæàí [1920℄, Òóðàí [1934℄:�Áîëüøèíñòâî"x èìåþò ν(x) ∼ ln lnx

x ∈ {1, . . . , n} ðàâíîìåðíî. Xp � èíäèêàòîðñîáûòèÿ p|x

X =∑

p≤n1/10 Xp

ν(x) − 10 ≤ X(x) ≤ ν(x)

E[Xp] = ⌊np⌋/n = p−1 + O(n−1)

E[X] =∑

p−1 + o(1) = ln lnn + O(1)Äåëåíèå íà p, q ïî÷òè íåçàâèñèìûCov[Xp, Xq] = E[XpXq]−E[Xp]E[Xq] = O(n−1)

≤ n1/5 âûáîðîâ p 6= q, ïîýòîìó ∑

Cov[Xp, Xq] =

o(1) 14

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V ar[X] ≤ E[X] +∑

Cov[Xp, Xq] ∼ ln lnnÒóðàí (èç íåð-âà ×åáûø�eâà)Pr[|X − E[X]| > K

√ln lnn] < K−2 + o(1)Ýðä�eø-Êàö: àñèìïòîòè÷åñêàÿ íîðìàëüíîñòü

Pr[|X−E[X]| > K√

ln lnn] →∫ K

−∞(2π)−1/2e−t2/2dt

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ÏÒ! Ïðîñòåéøåå ñóùåñòâî! ß ïîëó-÷èë òâîå ïèñüìî, òû äîëæåí áûë íà-ïèñàòü åùå íåäåëþ íàçàä. ïîñëåäíèå äíè äóõ Êàíòîðà áûë ñîìíîé íåêîòîðîå âðåìÿ, ïðèëàãàþ ðå-çóëüòàòû íàøèõ âñòðå÷ . . .Èç ïèñüìà Ïîëà Ýðä�eøà Ïîëó Òóðà-íó11 íîÿáðÿ, 1936

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Íî äâàæäû äâà ÷åòûðå � âñå-òàêèâåùü ïðåíåñíîñíàÿ. Äâàæäû äâà ÷å-òûðå � âåäü ýòî, ïî ìîåìó ìíåíèþ,òîëüêî íàõàëüñòâî-ñ. Äâàæäû äâà ÷å-òûðå ñìîòðèò �åðòîì, ñòîèò ïîïå-ðåê âàøåé äîðîãè ðóêè â áîêè è ïëþ-åòñÿ. ß ñîãëàñåí, ÷òî äâàæäû äâà ÷å-òûðå � ïðåâîñõîäíàÿ âåùü; íî åñëèóæå âñå õâàëèòü, òî è äâàæäû äâàïÿòü � ïðåìèëàÿ èíîãäà âåùèöà.� Ô�eäîð Ìèõàéëîâè÷ Äîñòîåâñêèé,Çàïèñêè èç ïîäïîëüÿ17

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Èãðà ëæåöàÏîë ïûòàåòñÿ óçíàòü x ∈ {1, . . . ,100}.Äåñÿòü âîïðîñîâ. Êýðîë ìîæåò ñîâðàòü îäèíðàç.Òåîðåìà: Êýðîë âûèãðûâàåò!Êýðîë èãðàåò ñëó÷àéíî êîíöå èãðû:Pr[x äîïóñòèì ] = 11

1024Îæèäàåìîå ÷èñëî äîïóñòèìûõ 100 111024 > 1Åñëè > 1 äîïóñòèìîãî, Êýðîë âûèãðûâàåòÊýðîë èíîãäà âûèãðûâàåòÌàãèÿ Ýðä�eøà: Êýðîë âñåãäà âûèãðûâàåò!

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Ìíå íå êàæåòñÿ íåâåðîÿòíûì, ÷òî íàêàêîé-òî êíèæíîé ïîëêå âñåëåííîé ñòî-èò âñåîáúåìëþùàÿ êíèãà; ìîëþ íåâå-äîìûõ áîãîâ, ÷òîáû ÷åëîâåêó � õîòÿáû îäíîìó, õîòü ÷åðåç òûñÿ÷è ëåò!� óäàëîñü íàéòè è ïðî÷åñòü åå. Åñ-ëè ïî÷åñòè, è ìóäðîñòü, è ñ÷àñòüåíå äëÿ ìåíÿ, ïóñòü îíè äîñòàíóòñÿäðóãèì. Ïóñòü ñóùåñòâóåò íåáî, äà-æå åñëè ìîå ìåñòî â àäó. Ïóñòü ÿ áó-äó ïîïðàí è óíè÷òîæåí, íî õîòÿ áûíà ìèã, õîòÿ áû â îäíîì ñóùåñòâåòâîÿ îãðîìíàÿ Áèáëèîòåêà áóäåò îïðàâ-äàíà.Õîðõå Ëóèñ Áîðõåñ, Âàâèëîíñêàÿ áèáë.19

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Âû ìîæåòå íå âåðèòü â Áîãà, íî äîëæ-íû âåðèòü â êíèãó.Ïîë Ýðä�eø

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