### Gauvrit, N and Delahaye, J-P (2009)

#### Scatter and regularity imply Benford's Law ... and more

Preprint arXiv: 0910.1359 [math.PR]; last accessed July 18, 2018
.

**ISSN/ISBN:** Not available at this time.
**DOI:** Not available at this time.

**Abstract:** A random variable (r.v.) X is said to follow Benford’s law if log(X) is uniform
mod 1. Many experimental data sets prove to follow an approximate version
of it, and so do many mathematical series and continuous random variables.
This phenomenon received some interest, and several explanations have been
put forward. Most of them focus on specific data, depending on strong
assumptions, often linked with the log function. Some authors hinted - implicitly - that the two most important characteristics of a random variable when it comes to Benford are regularity and scatter. In a first part, we prove two theorems, making up a formal version of this intuition: scattered and regular r.v.’s do approximately follow Benford’s law. The proofs only need simple mathematical tools, making the analysis easy.
Previous explanations thus become corollaries of a more general and simpler
one. These results suggest that Benford’s law does not depend on properties
linked with the log function. We thus propose and test a general version of the Benford’s law. The success of these tests may be viewed as an a posteriori validation of the analysis formulated in the first part.

**Bibtex:**

```
@ARTICLE{,
author = {{Gauvrit}, Nicolas and {Delahaye}, Jean-Paul},
title = "{Scatter and regularity imply Benford's law... and more}",
journal = {ArXiv e-prints},
archivePrefix = "arXiv",
eprint = {0910.1359},
primaryClass = "math.PR",
year = 2009,
month = oct,
}
```

**Reference Type:** Preprint

**Subject Area(s):** Probability Theory