PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 12, 2026The Mathematics Enthusiast0 citationsOpen Access

Book Review: Irrationality, Transcendence and the Circle-Squaring Problem: An Annotated Translation of J. H. Lambert’s Vorläufige Kenntnisse and Mémoire (2nd ed.)

BSBharath Sriraman

Key Points

  • The review aims to assess the significance of Lambert’s foundational texts and their translations regarding the irrationality of π.
  • Examined Lambert's two texts: Vorläufige Kenntnisse and Mémoire
  • Provided English translations with annotations
  • Placed Lambert's work within historical context
  • Highlighted the proof of π's irrationality via continued fractions
  • Identified Lambert as a crucial figure in number theory
  • Reviewed the integration of Lambert's proofs with modern approaches
  • Suggested the annotated translations enhance understanding of Lambert's contributions

Abstract

This review examines Irrationality, Transcendence and the Circle-Squaring Problem (2nd ed., 2024) by Eduardo Dorrego López and Elías Fuentes Guillén, offering the first complete annotated English translations of Johann Heinrich Lambert’s two foundational texts on the irrationality of π: the semi-popular Vorläufige Kenntnisse (1766/1770) and the rigorous Mémoire (1761/1768). The review situates these translations within Lambert’s remarkable and largely underappreciated life—a self-taught polymath who rose from a tailor’s workshop in Mulhouse to the Berlin Academy of Sciences—and gives careful attention to the proof of irrationality of π via continued fractions, placing it in dialogue with the Niven–Hermite integral approach, the modern theory of continued fractions as developed by Niven Niv05, and the broader literature on irrationality and transcendence. The volume is assessed as an essential contribution to the historiography of number theory.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Bharath Sriraman (2026) studied this question.

synapsesocial.com/papers/69db383b4fe01fead37c67a5https://doi.org/10.54870/1551-3440.1705
Ask AI
Helpful
Bookmark
Share
View Full Paper