All of Basic Category Theory • Mark Hopkins • YOW! 2018

Learn how category theory unifies mathematics and programming through networks, universal properties, functors, and natural transformations in this comprehensive overview by Mark Hopkins.

Key takeaways
  • Categories are best thought of as networks or systems, with nodes (objects) and edges (arrows/morphisms) that preserve structure and relationships

  • The three key pillars of category theory are:

    • Universal properties (products, sums, limits)
    • Functors (mappings between categories)
    • Natural transformations (morphisms between functors)
  • Representable functors are fundamental building blocks that act like “basis vectors” in the pre-sheaf world, with each representing a data structure of fixed shape

  • Category theory connects multiple domains through the Curry-Howard-Lambek correspondence:

    • Logic (propositions)
    • Programming (types)
    • Category theory (objects)
  • Adjoint functors provide “best approximations” when exact inverses don’t exist, making them widely applicable in mathematics and programming

  • Limits and co-limits generalize the concepts of products and sums, with limits being like “generalized products” and co-limits like “generalized sums”

  • Natural transformations emerge from examining how functors interact, with polymorphism in programming languages approximating naturality

  • CAN (Kan) extensions allow extending functors to larger categories, providing powerful tools for working with categorical structures

  • Category theory proved essential in physics (particularly quantum mechanics) despite initial resistance to its abstract nature

  • The field unifies seemingly different mathematical concepts through universal constructions, making it applicable across mathematics, computer science, and physics