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On classification of measurable functions of several variables. (English. Russian original) Zbl 1388.28003

J. Math. Sci., New York 190, No. 3, 427-437 (2013); translation from Zap. Nauchn. Semin. POMI 403, 35-57 (2012).
Summary: We define a normal form (called the canonical image) of an arbitrary measurable function of several variables with respect to a natural group of transformations; describe a new complete system of invariants of such a function (the system of joint distributions); and relate these notions to the matrix distribution, another invariant of measurable functions found earlier, which is a random matrix.

MSC:

28A20 Measurable and nonmeasurable functions, sequences of measurable functions, modes of convergence
60B20 Random matrices (probabilistic aspects)

References:

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[4] A. M. Vershik, ”Classification of measurable functions of several arguments, and invariantly distributed random matrices,” Funct. Anal. Appl., 36, No. 2, 93–105 (2002). · Zbl 1025.28010 · doi:10.1023/A:1015662321953
[5] A. M. Vershik, ”Random metric spaces and universality,” Russian Math. Surveys, 59, No. 2, 259–295 (2004). · Zbl 1065.60005 · doi:10.1070/RM2004v059n02ABEH000718
[6] A. Vershik and U. Haböck, ”Compactness of the congruence group of measurable functions in several variables,” J. Math. Sci. (N. Y.), 141, No. 6, 1601–1607 (2007). · doi:10.1007/s10958-007-0068-7
[7] A. Vershik and U. Haböck, ”Canonical model of measurable functions of two variables with given matrix distributions,” Manuscript, Vienna (2005).
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