The Reasonable Effectiveness of Mathematics in the Physical Sciences
Alex Harvey

TL;DR
This paper explores the philosophical debate about why mathematics is so remarkably effective in describing the physical universe, suggesting that its predictive power supports a realist view of mathematics.
Contribution
It analyzes various philosophical perspectives on mathematics and argues that the extraordinary predictive capacity of mathematical structures favors mathematical realism.
Findings
Mathematics' predictive success supports realism about its existence.
Different philosophical views offer contrasting explanations for mathematics' effectiveness.
The predictive capacity of math in physics is central to understanding its effectiveness.
Abstract
Mathematics and its relation to the physical universe have been the topic of speculation since the days of Pythagoras. Several different views of the nature of mathematics have been considered: Realism - mathematics exists and is discovered; Logicism - all mathematics may be deduced through pure logic; Formalism - mathematics is just the manipulation of formulas and rules invented for the purpose; Intuitionism - mathematics comprises mental constructs governed by self evident rules. The debate among the several schools has major importance in understanding what Eugene Wigner called, "The Unreasonable Effectiveness of Mathematics in the Natural Sciences." In return, this `Unreasonable Effectiveness' suggests a possible resolution of the debate in favor of it Realism. The crucial element is the extraordinary predictive capacity of mathematical structures descriptive of physical theories.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsQuantum Mechanics and Applications · Biofield Effects and Biophysics · Philosophy and History of Science
