Mathematical ontology
Compare realism, nominalism, structuralism and related views about what numbers, sets and structures are.
Subject
Purpose
Mathematical knowledge studied through questions about abstract objects, proof, truth, foundations and the applicability of mathematics to the physical world.
Structure
Problem → positions → arguments → objections → implications
Philosophy of mathematics separates ontological questions about mathematical objects from epistemic questions about proof, practice and applicability.
Compare realism, nominalism, structuralism and related views about what numbers, sets and structures are.
Ask why formal derivation is epistemically distinctive and how informal mathematical practice relates to formal proof.
Examine logicist, formalist, set-theoretic and category-theoretic approaches to grounding mathematical systems.
Study whether mathematical truth depends on models, structures, practices or mind-independent facts.
Ask why mathematics developed through abstraction so often describes physical systems with remarkable precision.
mathematical realism ≠ physical existence
formal proof ≠ human understanding
foundation ≠ single final theory
What explains agreement about mathematical truth if mathematical objects are abstract?
Can mathematical practice be understood without committing to a particular ontology?
Why is mathematics so effective in empirical science?
Conceptual arguments should be kept distinct from historical claims about mathematical practice and from empirical claims about cognition or scientific application.