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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.
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Categories are best thought of as networks or systems, with nodes (objects) and edges (arrows/morphisms) that preserve structure and relationships
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The three key pillars of category theory are:
- Universal properties (products, sums, limits)
- Functors (mappings between categories)
- Natural transformations (morphisms between functors)
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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
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Category theory connects multiple domains through the Curry-Howard-Lambek correspondence:
- Logic (propositions)
- Programming (types)
- Category theory (objects)
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Adjoint functors provide “best approximations” when exact inverses don’t exist, making them widely applicable in mathematics and programming
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Limits and co-limits generalize the concepts of products and sums, with limits being like “generalized products” and co-limits like “generalized sums”
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Natural transformations emerge from examining how functors interact, with polymorphism in programming languages approximating naturality
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CAN (Kan) extensions allow extending functors to larger categories, providing powerful tools for working with categorical structures
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Category theory proved essential in physics (particularly quantum mechanics) despite initial resistance to its abstract nature
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The field unifies seemingly different mathematical concepts through universal constructions, making it applicable across mathematics, computer science, and physics