Statistical mechanics and scientific explanation : determinism, indeterminism and laws of nature /

Bibliographic Details
Corporate Author: World Scientific (Firm)
Other Authors: Allori, Valia (Editor)
Format: eBook
Language:English
Published: Singapore ; Hackensack, NJ : World Scientific, [2020]
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Intro
  • Contents
  • Introduction
  • Part I: The Different Faces of Explanation
  • Chapter 1. The Mentaculus Vision
  • References
  • Chapter 2. Probabilistic Explanations and the Derivation of Macroscopic Laws
  • 2.1. Introduction
  • 2.2. Objectivity and subjectivity
  • 2.3. Two notions of probability
  • 2.4. The law of large numbers
  • 2.5. Explanations and probabilistic explanations
  • 2.6. Time evolution and probabilistic explanations
  • 2.6.1. Microstates and macrostates
  • 2.6.2. Derivation of macroscopic laws from microscopic ones
  • 2.6.3. Irreversibility and probabilistic explanations
  • 2.7. The Kac ring model
  • 2.7.1. The model
  • 2.7.2. Analogue of Boltzmann's solution
  • 2.7.3. Microscopic analysis of the model
  • 2.7.4. Conclusions
  • Acknowledgments
  • References
  • Chapter 3. Some Reflections on the Statistical Postulate: Typicality, Probability and Explanation between Deterministic and Indeterministic Theories
  • 3.1. Introduction
  • 3.2. Boltzmann's approach to statistical mechanics
  • 3.2.1. Microstates, macrostates and entropy
  • 3.2.2. The past hypothesis
  • 3.2.3. The statistical postulate
  • 3.3. How to avoid probability talk: The notion of typicality
  • 3.3.1. The typicality measure
  • 3.3.2. Typicality and probability
  • 3.3.3. Explanation based on typicality
  • 3.3.4. Objections to the typicality account
  • 3.4. How to dispense of the statistical postulate: The stationarity argument
  • 3.4.1. Objections to the stationarity argument
  • 3.4.2. Replies to objections to the stationarity argument
  • 3.4.3. Boltzmann's ingredients in the typicality account
  • 3.5. Quantum statistical mechanics
  • 3.5.1. The indeterministic case
  • 3.6. Conclusions
  • Acknowledgements
  • References
  • Chapter 4. Explaining Thermodynamics: What Remains to be Done?
  • 4.1. Introduction
  • 4.2. What is thermodynamics?
  • 4.3. Explaining thermodynamics in terms of statistical mechanics
  • 4.4. The ubiquity of forgetfulness
  • 4.5. The open systems approach
  • 4.6. Obtaining autonomous dynamics for subsystems
  • 4.7. Temporal asymmetry and the open systems approach
  • 4.8. Conclusion
  • References
  • Part II: The Language of Typicality
  • Chapter 5. Reassessing Typicality Explanations in Statistical Mechanics
  • 5.1. Introduction
  • 5.2. Typicality Explanations
  • 5.2.1. Typicality-claims
  • 5.2.2. Unpacking typicality-claims
  • 5.2.3. Comparing the analyses
  • 5.3. Typicality in Statistical Mechanics
  • 5.3.1. How Typicality is used in Statistical Mechanics
  • 5.3.2. Size Does Matter
  • 5.3.3. The Combined Typicality Approach
  • 5.4. Conclusion
  • References
  • Chapter 6. The Logic of Typicality
  • 6.1. Introduction
  • 6.2. Typicality propositional logic
  • 6.2.1. The language
  • 6.2.2. The Semantics of TPL
  • 6.2.3. Tableaus for TPL
  • 6.2.4. Soundness
  • 6.2.5. Additional results
  • 6.2.5.1. Conjunction and Disjunction
  • 6.2.5.2. Deduction theorems
  • 6.2.5.3. Modal Logic and TPL
  • 6.3. Typicality Intuitionistic Logic
  • 6.3.1. The language