In Kiev, in the 1930s, N.M. Krylov <strong>and</strong> N.N. Bogoliubov began their study of ergodictheorems for Markov chains. They issued from the theory of dynamic systems <strong>and</strong> thedirect cause of their research was the desire to justify the ergodic hypothesis formulatedalready by Boltzmann. Later, their problems widened <strong>and</strong> adjoined the work of theMoscow mathematicians.[4] After the Great Patriotic War {1941 – 1945} Linnik in Leningrad <strong>and</strong> his students inVilnius built up new powerful collectives working in various directions of the theory ofprobability <strong>and</strong> mathematical statistics. During the <strong>Soviet</strong> years a large number ofmonographs <strong>and</strong> textbooks in probability theory were published. Some of them woninternational recognition, have went <strong>and</strong> are going through many editions abroad 7 .Collected translations of papers of <strong>Soviet</strong> authors on probability theory <strong>and</strong> mathematicalstatistics regularly appear in the USA. The periodical % (Theory of <strong>Probability</strong> <strong>and</strong> Its Applications) is being translated <strong>and</strong> publishedthere in its entirety. In mathematical statistics, the books Smirnov & Dunin-Barkovsky(1955; 1959) 8 <strong>and</strong> Linnik (1966) should be mentioned. Bolshev & Smirnov (1968)compiled excellent tables, <strong>and</strong> a number of tables were due to Slutsky, Smirnov <strong>and</strong> others.The specialized periodical mentioned above was established owing to the considerableincrease in the amount of investigations in probability theory <strong>and</strong> mathematical statistics.In addition, writings on probability continue to appear in general mathematical <strong>and</strong> variousspecial editions. During the latest years, the number of articles devoted to the theory ofprobability <strong>and</strong> published in engineering journals greatly increased which undoubtedlytestifies that the dem<strong>and</strong>s of modern technology <strong>and</strong> theoretical studies accomplished bymathematicians are connected with each other <strong>and</strong> that the engineers’ level of stochasticeducation has risen.[5] The contribution of <strong>Soviet</strong> scientists to the development of the theory of probabilitydeserves highest appraisal. By creating an axiomatics of the theory on the basis of thetheories of measure <strong>and</strong> of functions of a real variable, they fundamentally transformed thescience <strong>and</strong> laid a robust foundation for the development of its new branches. The firstworks initiating the creation of the theory of stationary processes <strong>and</strong> r<strong>and</strong>om functions ledto the focus of scientific attention in probability theory shifting to this very field. Inaddition, owing to the development of general methods of the theory of r<strong>and</strong>om processes<strong>and</strong> fields, great possibilities for studying phenomena in nature <strong>and</strong> economics as well astechnological operations have opened up. Already the first steps in this direction yieldedappreciable results. The classical issue of summing independent r<strong>and</strong>om variables wasessentially promoted, <strong>and</strong>, in some aspects, settled. At the same time, new problemsimparted freshness <strong>and</strong> fascination to this venerable subject.The intensive progress in technology <strong>and</strong> physics advanced many unexpected problems<strong>and</strong> initiated absolutely new directions of research, in the first place information theory(that originated in the USA), the theory of stochastic automatic machines, theory ofoptimal control of stochastic processes, reliability theory. <strong>Soviet</strong> mathematicians haveseriously contributed to the development of these new domains as well.Notes1. {Only the Laplacean theory of errors.}2. {The method of moments is due to Bienaymé <strong>and</strong> Chebyshev, <strong>and</strong> Gnedenko himselfsaid so later (Gnedenko & <strong>Sheynin</strong> 1978, p. 262).}3. {I believe that the theory of errors is the statistical method as applied to the treatmentof observations, <strong>and</strong> (unlike Gnedenko) that it had been essentially completed by the end
of the 19 th century. True, the spread of triangulation over great territories as well as thenew technology dem<strong>and</strong>ed the solution of many practical problems.}4. {Markov’s textbook does not make easy reading. Recall his own words (Ltter toChuprov of 1910; Ondar 1977, p. 21): I have often heard that my presentation is notsufficiently clear.}5. {Gnedenko had greatly enhanced his appraisal of Slutsky by inserting his portrait, theonly one except for Kolmogorov’s.}6. {Before ca. 1989 no academy of sciences ever existed in <strong>Soviet</strong> Russia, by far thelargest union republic.}<strong>7.</strong> {Gnedenko mentioned books of several eminent mathematicians (Kolmogorov,Khinchin, Linnik, Skorokhod, Dynkin <strong>and</strong> himself). Since then, many books, notablyKolmogorov’s Selected Works, have appeared in translation abroad. One of these was thebook mentioned in [7].}8. {The authors of the latter book were mentioned on the title-page in the opposite order,see References.}References1. Bernstein, S.N. (1911), (Theory of <strong>Probability</strong>). Kharkov.Mimeographed edition. Four ordinary editions (1927 – 1946).2. --- (1912, in French), Demonstration of the Weierstrass theorem based on the theoryof probability. Russian translation: (Coll. Works), vol. 1. N.p., 1952,pp. 105 – 10<strong>7.</strong> English translation: Math. Scientist, vol. 29, 2004, pp. 127 – 128.3. Bolshev, L.N., Smirnov, N.V. (1968), ) (Tables of Mathematical <strong>Statistics</strong>). M.4. Buniakovsky, V.Ya. (1846), ! (Principles of the Mathematical Theory of <strong>Probability</strong>). Petersburg.5. Dunin-Barkovsky, I.V., Smirnov, N.V. (1955), ( (Theory of <strong>Probability</strong> <strong>and</strong> Mathematical<strong>Statistics</strong> in Technical Sciences). M.6. Ermakov, V.P. (1878; 1879), 1 (Elementary Course in the Theory of probability). Kiev.<strong>7.</strong> Gnedenko, B.V., <strong>Sheynin</strong>, O. (1978, in Russian), Theory of probability, this being achapter in Mathematics of the 19 th Century, vol. 1. Editors, A.N. Kolmogorov. A.P.Youshkevich. Basel, 1992 <strong>and</strong> 2001, pp. 211 – 288.8. Kolmogorov, A.N. (1948, in Russian), Slutsky, an obituary. Math. Scientist, vol. 27,2002, pp. 67 – 74.9. Linnik, Yu.V. (1966), '. %(Statistical problems with Nuisance Parameters). M.10. Markov, A.A. (1900), (Calculus of <strong>Probability</strong>). LaterRussian editions: 1908, 1913, 1924. German translation: 1912.11. Ondar, Kh.O., Editor (1977, in Russian), Correspondence between A.A. Markov <strong>and</strong>A.A. Chuprov. New York, 1981.12. Slutsky, E.E. (1912), ) 5 ( % (Theory of Correlation <strong>and</strong> the Elements of the Theory of DistributionCurves). Kiev.13. Smirnov, N.V., Dunin-Barkovsky, I.V. (1959), in Russian). Mathematische Statistikin der Technik. Berlin, 1969, 1973.14. Tikhom<strong>and</strong>ritsky, M.A. (1898), # (Course in Theory of<strong>Probability</strong> Theory). Kharkov.
- Page 4 and 5:
[3] I bear in mind the well-known p
- Page 6 and 7:
successes of physical statistics. B
- Page 8 and 9:
classes of independent facts whose
- Page 10 and 11:
distribution is a corollary of the
- Page 12 and 13:
examine in the first place the curv
- Page 14 and 15:
12. According to Bortkiewicz’ ter
- Page 16 and 17:
generality, the similarities taking
- Page 18 and 19:
one on another, as well as the corr
- Page 20 and 21:
is inapplicable because the right s
- Page 22 and 23:
Instead, Slutsky introduced new not
- Page 24 and 25:
abandoned in August 1936, but it is
- Page 26 and 27:
last decades, mathematicians more o
- Page 28 and 29:
charged with making the leading ple
- Page 30 and 31:
motion and a number of others) are
- Page 32 and 33:
phenomena. It is self-evident that
- Page 34 and 35:
Such new demands were formulated in
- Page 36 and 37:
The addition of independent random
- Page 38 and 39:
automatic lathes, etc. Here, the ma
- Page 40 and 41:
11. Kolmogorov, A.N. Grundbegriffe
- Page 42 and 43:
period 1 and remained, until the ap
- Page 44 and 45:
of the analytical tool rather than
- Page 46 and 47:
with probability approaching unity,
- Page 48 and 49:
logic. The ensuing vagueness in his
- Page 50 and 51:
2. Gnedenko, B.V. (1949), On Lobach
- Page 52 and 53:
will be sufficient, although not ne
- Page 54 and 55:
nlimk = 1P(| k (n) - m k (n) | > H
- Page 56 and 57:
favorite classical issue as the gam
- Page 58 and 59:
and some quite definite (not depend
- Page 60 and 61:
influenced by a construction that a
- Page 62 and 63:
P ij (1) = p ij (1) , P ij (t) =kP
- Page 64 and 65:
4.2d. Bebutov [1; 2] as well as Kry
- Page 66 and 67:
are yet no limit theorems correspon
- Page 68 and 69:
described, from the viewpoint that
- Page 70 and 71:
conditional variance and determined
- Page 72 and 73:
Romanovsky [45] and Kolmogorov [46]
- Page 74 and 75:
Let S be the general population wit
- Page 76 and 77:
Part 1. Russian/Soviet AuthorsAmbar
- Page 78 and 79:
2. On necessary and sufficient cond
- Page 80 and 81: Gnedenko, B.V., Groshev, A.V. 1. On
- Page 82 and 83: 52. ( (Mathematical Principl
- Page 84 and 85: Kozuliaev, P.A. 1. Sur la répartit
- Page 86 and 87: Obukhov, A.M. 1. Normal correlation
- Page 88 and 89: 30. Généralisations d’un théor
- Page 90 and 91: 22. Alcune applicazioni dei coeffic
- Page 92 and 93: 10. A.N. Kolmogorov. The Theory of
- Page 94 and 95: Kuznetsov, Stratonovich & Tikhonov
- Page 96 and 97: In the homogeneous case H s t = H t
- Page 98 and 99: to such a generalization. He only s
- Page 100 and 101: In the particular case of a charact
- Page 102 and 103: as it is usual for the modern theor
- Page 104 and 105: 1. {The second reference to Pugache
- Page 106 and 107: Smirnov, Romanovsky and others made
- Page 108 and 109: determined the precise asymptotic c
- Page 110 and 111: for finite values of N, M and R 2 .
- Page 112 and 113: Mikhalevich’s findings by far exc
- Page 114 and 115: Uch. Zap. = Uchenye ZapiskiUkr = Uk
- Page 116 and 117: Khinchin, A.Ya. 43. Math. Ann. 101,
- Page 118 and 119: 7. DAN 115, 1957, 49 - 52.Pinsker,
- Page 120 and 121: Anderson, T.W., Darling, D.A. (1952
- Page 122 and 123: Statistical problems in radio engin
- Page 124 and 125: observations for its power with reg
- Page 126 and 127: securing against mistakes (A.N. Kry
- Page 128 and 129: of the others, then its distributio