Related Experiment Video
Updated: Aug 9, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
Published on: March 1, 2022
Joint probability distribution of the invariants comprising determinantal inequalities: Heuristic derivation
1Laboratory for the Structure of Matter, Naval Research Laboratory, Washington, D.C. 20375.
Abstract:
Joint probability distributions are derived that are expressed in terms of the determinants that form the determinantal inequalities associated with the non-negative Fourier series that represent crystal structures. The derivation involves heuristic considerations. It is therefore appropriate to test the distributions extensively by making comparisons with results obtained by other theoretical means and evaluations of the implications of the distributions. Those performed thus far on the low-order determinants (third and fourth orders) have provided satisfactory results. The determinantal probability distributions imply a general maximum determinant rule, contain a wealth of information, and provide numerous paths that may be followed for future development.
Related Concept Videos
Graphical Representation of Inequalities
Probability Distributions
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson probability...
Applications of Integration to Probability Density Functions
Application of Nonlinear Inequalities
Introduction to Nonlinear Inequalities
Probability Laws