Epistemic Phase Transitions in Mathematical Proofs
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Abstract (arXiv)
Mathematical proofs are both paradigms of certainty and some of the most explicitly-justified arguments that we have in the cultural record. Their very explicitness, however, leads to a paradox, because the probability of error grows exponentially as the argument expands. When a mathematician encounters a proof, how does she come to believe it? Here we show that, under a cognitively-plausible belief formation mechanism combining deductive and abductive reasoning, belief in mathematical arguments can undergo what we call an epistemic phase transition: a dramatic and rapidly-propagating jump from uncertainty to near-complete confidence at reasonable levels of claim-to-claim error rates. To show this, we analyze an unusual dataset of forty-eight machine-aided proofs from the formalized reasoning system Coq, including major theorems ranging from ancient to 21st Century mathematics, along with five hand-constructed cases including Euclid, Apollonius, Hernstein's Topics in Algebra, and Andrew Wiles's proof of Fermat's Last Theorem. Our results bear both on recent work in the history and philosophy of mathematics on how we understand proofs, and on a question, basic to cognitive science, of how we justify complex beliefs.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 31 Mar 2020.
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.
- 2026Artificial Intelligence and the Structure of Mathematicscited by 4
- 2025Explaining Necessary Truthscited by 0
- 2026Artificial Intelligence and the Structure of Mathematics7 Apr 2026
- 2025Explaining Necessary Truths16 Feb 2025