PreprintCC BY-NC-ND 4.0HAL
Normal random variables
Abstract
This is an advanced introduction to the various types of normal random variables, with most of the needed preliminaries included. We first discuss the probability basics, standard central limits, and the theory of the usual, real normal variables, with examples, illustrations and numerous formulae. Then we go on a similar discussion regarding the complex normal variables, and the Rayleigh variables too. We then move to arbitrary dimensions, with a discussion regarding the Gaussian vectors, and related probability laws, featuring some functional analysis, and geometry and physics too. Finally, we provide an introduction to the quantum versions of the normal variables, and notably to those coming from free probability and random matrices.
Related
- The distribution of the ratio of products of independent zero mean normal random variables.
- Effect of Measurement Errors on One‐Sided Synthetic‐RZ Control Charts for Monitoring the Ratio of Two Normal Variables
- A Khintchine type inequality for non-independent random variables
- A weak invariance principle for triangular arrays of independent random variables in some Besov spaces
- Eventual convexity for separable chance constraints with skewed generalized hyperbolic random variables
BibTeX
@misc{banica2026normal,
title = {{Normal random variables}},
author = {Teo Banica},
howpublished = {HAL},
year = {2026},
month = sep,
url = {https://hal.science/hal-05740196v1},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - UNPB
TI - Normal random variables
AU - Teo Banica
PY - 2026
DA - 2026/09/07
PB - HAL
UR - https://hal.science/hal-05740196v1
AB - This is an advanced introduction to the various types of normal random variables, with most of the needed preliminaries included. We first discuss the probability basics, standard central limits, and the theory of the usual, real normal variables, with examples, illustrations and numerous formulae. Then we go on a similar discussion regarding the complex normal variables, and the Rayleigh variables too. We then move to arbitrary dimensions, with a discussion regarding the Gaussian vectors, and related probability laws, featuring some functional analysis, and geometry and physics too. Finally, we provide an introduction to the quantum versions of the normal variables, and notably to those coming from free probability and random matrices.
ER -