# Probabilistic Explanations and the Derivation of Macroscopic Laws

**Authors:** Jean Bricmont

arXiv: 1906.01836 · 2019-06-18

## TL;DR

This paper explores how probabilistic explanations underpin the derivation of macroscopic laws from microscopic principles, focusing on their role in statistical mechanics.

## Contribution

It provides a new perspective on linking scientific explanations with probabilities in the context of deriving macroscopic laws.

## Key findings

- Probabilistic explanations are fundamental in deriving macroscopic laws.
- The link between microscopic and macroscopic descriptions is clarified.
- Statistical mechanics is emphasized as a framework for this connection.

## Abstract

We will discuss the link between scientific explanations and probabilities, specially in relationship with statistical mechanics and the derivation of macroscopic laws from microscopic ones.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1906.01836/full.md

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/1906.01836/full.md

## References

24 references — full list in the complete paper: https://tomesphere.com/paper/1906.01836/full.md

---
Source: https://tomesphere.com/paper/1906.01836