Welcome to Francis Academic Press

Frontiers in Educational Research, 2026, 9(1); doi: 10.25236/FER.2026.090101.

The Countable Additivity in the Axiomatic Definition of Probability

Author(s)

Ailing Shi

Corresponding Author:
Ailing Shi
Affiliation(s)

School of Education, Lanzhou University of Arts and Science, Lanzhou, China

Abstract

This paper focuses on the understanding of countable additivity in the axiomatic definition of probability. Through concept decomposition, example verification and theoretical deduction, the core cognition is refined. The results show that the essence of countable additivity is the rule to solve the probability calculation of an infinite number of mutually exclusive events; as one of the three properties of axiomatic probability, it is based on non-negativity and normalization, and is incomplete without it. In the specific case verification process, this paper follows the logic of  "defining event, calculation of a single event's probability, and finding the target probability". The conclusions show that to understand countable additivity, it is necessary to closely follow the four-layer framework of 'essence-theory-application-reality', in order to grasp its core value and application logic.

Keywords

Countable additivity; Cases; Definition decomposition

Cite This Paper

Ailing Shi. The Countable Additivity in the Axiomatic Definition of Probability. Frontiers in Educational Research (2026), Vol. 9, Issue 1: 1-7. https://doi.org/10.25236/FER.2026.090101.

References

[1] Mao S S, Cheng Y M, Pu X L. Probability Theory and Mathematical Statistics. 2nd Edition. Beijing: Higher Education Press, 2010.

[2] Cheng Q X, et al. Fundamentals of Real Variable Function and Functional Analysis. 4th Edition. Beijing: Higher Education Press, 2019.

[3] Sheldon M. Ross. Introduction to Probability Models. Tenth Edition. Singapore: Elsevier (Singapore) Pte Ltd., 2010.