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Proceedings of the International Congress of Mathematicians Helsinki, 1978 Strong Theorems on Coin Tossing P. Révész I. The number of heads in short blocks. 1.1. The length of the longest head run. The length of the longest head run in a coin tossing sequence was investigated in the very early days of probability theory (see e.g. [10]). A teaching experiment of T. Varga originated a new attack on this problem. His experiment goes like this: A class of school children is divided into two sections. In one of the sections each child is given a coin which they throw two hundred times, recording the resulting head and tail sequence on a piece of paper. In the other section the children do not receive coins, but are told instead that they should try to write down a "random" head and tail sequence of length two hundred. Collecting these slips of paper, he then tries to subdivide them into their original groups. Most of the times he succeeds quite well. His secret is that he had observed that in a randomly produced sequence of length two hundred, there are, say, head-runs of length seven. On the other hand, he had also observed that most of those children who were to wiite down an imaginary random sequence are usually afraid of writing down runs of longer than four. Hence, in order to find the slips coming from the coin tossing group, he simply selects the ones which contain runs longer than five. This experiment led T. Varga to ask: What is the length of the longest run of pure heads in n Bernoulli trials? Introduce the following notations: Let Xl9 Z 2 ,... be a sequence of independent and identically distributed random variables with P(X1=0)=P(X1=l) = l/29 let S 0 =0, S n =X 1 +Z 2 +...+A r „ («=1,2,...) and I(N9K)=QjmxK(Sn+K--Sn) (N^K). 750 P. Révész Define the r.v.'s ZN (N=l9 2,...) as follows: let ZN be the largest integer for which I(N9ZN)=ZN. This Zn is the length of the longest head-run. A characterization of the behaviour of Z„ was given by Erdôs and Révész. It is presented in this section. THEOREM 1.1 [7]. Let s be any positive number. Then for almost all co£Q (the basic space) there exists a finite NQ=N0(CO9ë) such that1 ZN ^ [log JV—log log log ÌV+log loge—2—ß] = ai(A0 = o^ ifN^N0. This result is quite near to the best possible one in the following sense : THEOREM 1.2 [7]. Let e be any positive number. Then for almost all co£Q there exists an infinite sequence Ni=Ni(co9 c) ( J = 1 , 2,...) of integers such that Zni < [log Nt - log log log Nt+log log e - 1 + e ] = a2(N) = a2. Theorems 1.1 and 1.2 together say that the length of the longest head-run is larger than <*! but in general not larger than a2 <;<*!+2. Clearly enough, for some N the length of the longest head-run can be larger than a2. In our next theorems the largest possible values of ZN are investigated. THEOREM 1.3 [7]. Let (a3(w)} be a sequence of positive numbers for which 2'2- a 3^=co. «=1 Then for almost all (D£Q there exists an infinite sequence N^N^co, (/= 1,2,...) of integers such that {a3(«)}) ZNi ^ a.W)This result is the best possible in the following sense: THEOREM 1.4 [7]. Let {a4(«)} be a sequence of positive numbers for which Then for almost all co£Q there exists a positive integer N0=N0(co9 {a4(«)}) suchthat ZN < a4(JV) if N^NQ. 1.2. The length of blocks containing at most T tails. Theorems 1.1-1.4 are characterizing the length of the longest run containing no tails at all. One can also ask similar questions about the length of the longest run containing at most T tails. 1 Here and in what follows log means logarithm with base 2; [x] is the integral part of x. Strong Theorems on Coin Tossing 751 In order to formulate our results, we introduce the following notations: Let Z^(T) be the largest integer for which /(i\r,zN(D)>zw(7Vr. This ZN(T) is the length of the longest run containing at most T tails. Theorems 1.1-1.4 can be generalized as follows: THEOREM 1.1* [7]. Let s be any positive number. Then for almost all œÇQ there exists a finite N0=N0(co9 T9e) such that ZN(T) >> [logN+TloglogN-logloglogN-log if (Tl) +loglog e-2-e] = ax(i\T, T) N^N0. THEOREM 1.2* [7]. Let e be any positive number. Then for almost all co£Q there exists an infinite sequence Ni=Nt(co9 T9 e) of integers such that Z Nt < [logiV r +rioglogiV r -logloglog^-log(r!)+logloge-l+e] = a2(AT, T). THEOREM 1.3* [7]. Let {aa(N9 T)}^^ be a sequence of positive integers for which Then for almost all co 6 Q there exists an infinite sequence Ni=Ni(œ9 T9 {ua(N9 T)}) of integers such that ZNi(T) ^ *Q(Ni9 T). THEOREM 1.4* [7]. Let {^(N9T)}^=1 be a sequence of positive integers for which 2(**(N9T))T*' N=l Then for almost all co£Q there exists a positive integer N0=N0(co9 T9 {^(N9 T)}) such that ZN(T) < «t(N9 T) if N^N0. 1.3. A result ofErdos and Rényi. Erdös and Rényi were the first ones who investigated the problem proposed by T. Varga, proving strong theorems. One of their results goes like this: THEOREM 1.5 [6]. We have N^OO clogN 2 v ' 752 P. Révész with probability 1 where a(l) = l and, if o l equation then it is the only solution of the with h(x) =—xlogx—(l—x)log(l-x) (0 < x < 1). 77?e herewith defined a(-) wo decreasing function with lim a(c) = 1 «m/ lim a(c) = 0. CSU ' C^foa v ' 1.4. T/ze number of head runs. In Theorems 1.1 and 1.2 we have seen that for all N9 big enough, there exists a block of size o^(N) containing only heads but it is not true with <x,2(N). Now we ask what is the number of disjoint blocks of size ai(iV) containing only heads. Let vN(k) be the number of blocks of size k (in the interval [0, N]) containing only heads, that is to say vN(k)=j if there exists a sequence 0</ 1 </ 1 +/c<</2< l2+k*^...^lj<lj+k^n suchthat Sìi+k-Sh = k(i = l929...9j) but s m+k-sm^k if h+k^m^lw (i==l929...9j). At first we study the case k=a1(N) and prove THEOREM 1.6. For any 8>0 there exist constants 0^c1=c1(s)^c2=c2(s)<oo such that Cl1 = Hm M Ä ^ Km sup ;*fo(iVff = c 22 tf-~ log log N tf-~ log log N with probability 1. This theorem says that in the interval [09N] there are 0(loglogAO blocks of size OL^N) containing only heads. This fact is quite surprising, knowing that it does happen for infinitely many N that there is not any block of size a1(N)+2>> a.2(N) containing only heads. Theorem 1.2 also implies that lim inf vN(kN) = 0 with probability 1 if kN>>a,2(N). However, Theorems 1.3 and 1.4 imply that x f == °0 Ìiff limsupviV([logiv'+(l + 5)loglogiV])|^ 1 . f Now we are interested in lim sup Vjy([log N+log log N]) and formulate our (5>0, Strong Theorems on Coin Tossing 753 1.7. We have lim sup Vjv([log N+ log log N]) ^ 2 with probability 1. THEOREM II. The number of heads in longer blocks. ILL The most irregular blocks. As we have already remarked, Theorem 1.5 stated that for any c>0 there is a block of size [c log TV] whose density is more than 1/2. This Theorem also says that in any block of size aN»logN the density of heads is equal to 1/2. That is to say we have A CONSEQUENCE OF THEOREM 1.5. lira ZWM = 1/2 w-~ aN with probability I, provided that lim % AT-«, - - logN Clearly, in order to get more precise results, we have to investigate the properties of the sequence J(N9aN) = 2I(N9aN)-aN. Introduce the following notations : 7, = 2 ^ - 1 , r n = Ì 7 i = 2S„-n, f=i J(N, K) = max (Tn+K-T„) = 2I(N, K)-K, JHN9K)=QmIx_K\Tn+k^n J+(N9K)= max max \Tn+l-T± The limiting behaviour of these sequences was studied in [3], where the main result says: THEOREM 2.1 [3]. Let {aN}^=1 be a nondecreasing sequence of positive integers for which (i) 0^aN^N(N=l929...)9 (ii) aN/N is nonincreasing9 (iii) l i m ^ o » [fljv/log N] = ~ . Then lim sup ßNJ(N9 aN) = lim sup ßNJ+ (N9 aN) yy-+• oo jy -*- oo = lim sup ßNJ(N,aN) JV-*-oo = Urn sup ßNJ+(N9aN) = 1 754 P. Révész: Strong Theorems on Coin Tossing with probability 1, where ßN = (2aN)[ln N/aN+\n In N])~1/2. If we also have (iv) lim^oo [In N/aNfln In N~\ = ~ then lim ß„J(N9 aN) = lim ßNJ+(N9 aN) = lim ßNJ(N, aK) = lim ßN J+ (JV, %) = 1 N-*- oo N -*• oo with probability 1. References 1. E. Csâki, On the lower limits of maxima and minima of Wiener process and partial sums, Z. Wahrscheinlichkeitstheorie und verw. Gebiete 43 (1978), 205—221. 2. E. Csâki and P. Révész, How big must the increments of a Wiener process be? Acta Math. Acad. Sci. Hung. 33 (1979), 37—49. 3. M. Csörgö and P. Révész, How big are the increments of a Wiener process? Ann. Probability 7 (1979) (to appear). 4. How smallare the increments of a Wiener process? Stochastic Processes and their Applications 8 (1979), 119—129. 5. K. L. Chung, On the maximum partial sums of sequences of independent random variables, Trans Amer. Math. Soc. 64 (1948), 205—233. 6. P. Erdös and A. Rényi, On a new law of large numbers, J. Analyse Math. 22 (1970), 103—111. 7. P. Erdös and P. Révész, On the length of the longest head-run. Colloq. Math. Soc. J. Bolyai, vol. 16, Topics in Information Theory, Keszthely, Hungary, 1975, pp. 219—228. 8. W. M. Hirsch, A strong law for the maximum commutative sum of independent random variables, Comm. Pure Appi. Math. 18 (1965), 109—127. 9. N. C. Jain and W. E. Pruit, The other law of the iterated logarithm, Ann. Probability 3 (1975), 1046—1049. 10. Ch. Jordan, Chapters on the classical calculus of probability, Akadémiai Kiadó, Budapest, 1972. 11. J. Komlós, P. Major and G. Tusnady, An approximation of partial sums of independent r.v.'s and the sample d.f. II, Z. Wahrscheinlichkeitstheorie und Verw. Gebiete 34 (1976), 33—58. 12. J. Komlós and G. Tusnâdy, On sequences of "pure heads", Ann. Probability 3 (1975), 608— 617. 13. A. Chintschin, Über dyadische Brüche, Math. Z. 18 (1923), 109—116. 14. V. Strassen, An invariance principle for the law iterated logarithm, Z. Wahrscheinlichkeitstheorie und Verw. Gebiete 3 (1964), 211—226. MATHEMATICAL INSTITUTE REâLTANODA U. 13—15 1053 BUDAPEST, HUNGARY