Elements of probability theory with values in bihyperbolic algebra

Author:

Kolomiiets Tamila1

Affiliation:

1. Zhytomyr State Ivan Franko University, Zhytomyr, Ukraine

Abstract

In this paper we expand the concept of a really significant probabilistic measure in the case when the measure takes values in the algebra of bihyperbolic numbers. The basic properties of bihyperbolic numbers are given, in particular idempotents, main ideals generated by idempotents, Pierce's decompo\-sition and the set of zero divisors of the algebra of bihyperbolic numbers are determined. We entered the relation of partial order on the set of bihyperbolic numbers, by means of which the bihyperbolic significant modulus is defined and its basic properties are proved. In addition, some bihyperbolic modules can be endowed with a bihyperbolic significant norms that take values in a set of non-negative bihyperbolic numbers. We define $\sigma$-additive functions of sets in a measurable space that take appropriately normalized bihyperbolic values, which we call a bihyperbolic significant probability. It is proved that such a bihyperbolic probability satisfies the basic properties of the classical probability. A representation of the bihyperbolic probability measure is given and its main properties are proved. A bihyperbolically significant random variable is defined on a bihyperbolic probability space, and this variable is a bihyperbolic measurable function in the same space. We proved the criterion of measurability of a function with values in the algebra of bihyperbolic numbers, and the basic properties of bihyperbolic random variables are formulated and proved. Special cases have been studied in which the bihyperbolic probability and the bihyperbolic random variable take values that are zero divisors of bihyperbolic algebra. Although bihyperbolic numbers are less popular than hyperbolic numbers, bicomplex numbers, or quaternions, they have a number of important properties that can be useful, particularly in the study of partial differential equations also in mathematical statistics for testing complex hypotheses, in thermodynamics and statistical physics.

Publisher

Institute of Applied Mathematics and Mechanics of the National Academy of Sciences of Ukraine

Subject

General Engineering

Reference23 articles.

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2. Shevchenko, G.M. (2018). Lectures on probability theory. Electronic edition, KNU T.G. Shevchenko. Access mode: http://probability.univ.kiev.ua /userfiles/zhoraster/probability.pdf (in Ukrainian).

3. Rudin, W. (1987). Real and Complex Analysis. McGraw-Hill Book Company. Singapore, New York.

4. Alpay, D., Luna-Elizarrar´as, M.E., Shapiro, M. (2017). Kolmogorov’s axioms for probabilities with values in hyperbolic numbers. Adv. Appl. Clifford Algebras, 27, 913–929. https://doi.org/10.1007/s00006-016-0706-6

5. Kumar, R., Sharma, K. (2017). Hyperbolic valued random variables and conditional expectation. arXiv:1611.06850v2 [math.PR] 27 Mar 2017.

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