Continuous model of opinion dynamics with convictions

TL;DR

This paper introduces a kinetic opinion dynamics model balancing consensus and conviction forces, proving conditions for a unique, stable opinion state and analyzing its properties.

Contribution

The paper presents a new kinetic model of opinion dynamics incorporating conviction-driven friction and establishes conditions for unique, stable consensus states.

Findings

Existence of a global mono-opinion state proven.

Conditions for uniqueness of the opinion state identified.

Regularity properties of the limiting opinion distribution analyzed.

Abstract

In this note we study a new kinetic model of opinion dynamics. The model incorporates two forces -- alignment of opinions under all-to-all communication driving the system to a consensus, and Rayleigh type friction force that drives each `player' to its fixed conviction value. The balance between these forces creates a non-trivial limiting outcome. We establish existence of a global mono-opinion state, whereby any initial distribution of opinions for each conviction value aggregates to the Dirac measure concentrated on a single opinion. We identify several cases where such a state is unique and depends continuously on the initial distribution of convictions. Several regularity properties of the limiting distribution of opinions are presented.