Skip to main content
Log in

Expansion in Terms of Power of a Small Parameter of the Maximum Rank Distribution of a Random Boolean Matrix

  • Published:
Cybernetics and Systems Analysis Aims and scope

Abstract

The paper considers an N × n matrix (N ≥ n) over a field GF(2) that consists of random values with a distribution depending on a small parameter ε. The expansion is found in terms of the power of the parameter ε of the probability that the matrix rank is equal to n. Exact values of the first three coefficients are indicated.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

REFERENCES

  1. I. N. Kovalenko, A. A. Levitskaya, and M. N. Savchuk, Selected Problems from the Theory of Probabilistic Combinatorial Analysis [in Russian], Naukova Dumka, Kiev (1986).

    Google Scholar 

  2. V. N. Sachkov, Introduction to Combinatorial Methods of Discrete Mathematics [in Russian], Nauka, Moscow (1982).

    Google Scholar 

  3. V. V. Masol, “Explicit representation of some coefficients in the expansion of the random matrix rank distribution in the field GF (2),” Theory of Stochastic Processes, No. 3-4, 122-126 (2000).

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Masol, V.V. Expansion in Terms of Power of a Small Parameter of the Maximum Rank Distribution of a Random Boolean Matrix. Cybernetics and Systems Analysis 38, 938–942 (2002). https://doi.org/10.1023/A:1022964526194

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1022964526194

Navigation