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Intoduction to Homotopy Type Therory

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Intoduction to Homotopy Type Therory

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Intoduction to Homotopy Type Therory

  1. 1. A very brief introduction to Homotopy Type Theory
  2. 2. The Institute for Advanced Study in Princeton, in my opinion, has ruined more good scientists than any institution has created, judged by what they did before they came and judged by what they did after. Not that they weren't good afterwards, but they were superb before they got there and were only good afterwards. -- Richard Hamming
  3. 3. Vladimir Voevodsky • Cutting-edge Math so complex probability of mistake in any given proof very high • Automated proof checking the present and future of Math • Video: Univalent Foundations: New Foundations of Mathematics http://video.ias.edu/node/6395
  4. 4. Frege  Martin-Löf  Voevodsky • Gottlob Frege, active 1879 – 1923 works in logic, foundations of arithmetic, and philosophy • Per Martin-Löf An Intuitionistic Theory of Types, 1975 • Vladimir Voevodsky A very short note on the homotopy λ-calculus, 2006 • Institute for Advanced Study Homotopy Type Theory: Univalent Foundation of Mathematics, 2013 a.k.a. The HoTT Book
  5. 5. Every-thing has a type • Objects are types • Propositions are types • Functions are types • Proofs are types
  6. 6. A theory of rules and no axioms (For our purposes. There are 2 axioms in higher homotopy type theory) • “axioms” appear when we introduce concrete types • The game is to manipulate concrete types and elements with the rules • i.e. Type Theory provides an algebra over types
  7. 7. a:A ”a is of type A ” • Type theory is a deductive system based on 2 forms of judgment • ”a is of type A ” is the most basic form of judgment • Construction of a proposition is a proof in intuitionistic mathematics
  8. 8. Equality has special cases • Judgmental equality a :≡ b is a “witness” • p : a =A b is a proposition (and of course a type) • p-1 : b =A a is a different type (we will come back to this)
  9. 9. Universes and families • Universe : a type whose elements are types • U0 : U1 : U2 : … • Every type belongs to some universe A : Ui • A family of types: type B varying over a type A B : A  U indicates the universe U is the codomain note this is a simple function signature
  10. 10. 0 : U the type that is not • False, ⊥, bottom • You cannot construct it • Hence it does not exist. Anything can derive from it. ex falso quodlibit
  11. 11. 1 : U unit • True, ⊤, top, () • Always the same one-valued logic • C family of languages oddly names this type “void”
  12. 12. 2 : U boolean • 2-valued logic highest n-valued fully consistent logic • Can be derived as a special case of coproduct / summation type
  13. 13. Infinite types • E.g. Natural numbers which have a special place in practical application • Defined recursively
  14. 14. A  B function type • Signature matters to define type not the body of function
  15. 15. Exercise: • Construct a theorem of function equivalence ( f = g )
  16. 16. Exercise: • Construct a theorem of function equivalence ( f = g ) • Trick exercise…we will come back to this
  17. 17. A + B : U Coproduct type • a.k.a. Summation type F# discriminated union • To construct the function A + B  C requires the functions A  C B  C
  18. 18. A x B : U Product type • Tuple, Cartesian product
  19. 19. Introducing types • Formation rule e.g. you can form A  B when A is a type and B is a type • Introduction rule (a.k.a. constructor) e.g. functions have one constructor, λ-abstraction • Elimination rule how to use elements of type, e.g. function application • Uniqueness principle (optional, a.k.a. η-expansion) unique maps into and out of type (e.g. coproduct)
  20. 20. Lots of other types • E.g. Lists which of course are defined recursively • Not so important from the standpoint of theory because we can construct them from what we have…
  21. 21. EXCEPT…
  22. 22. Π(x:A)B(x) Dependent Functions • Type of output depends on element of input not the type of input hence, not just a “parameterized function” • Normal function is a special case resulting type family a constant type
  23. 23. Σ(x:A)B(x) Dependent pair type • Second element depends on a dependently typed function on first • Example: 1, 10 2, “I am a string”
  24. 24. Logical operations, represented in types • True 1 • False 0 • A and B A x B • A or B A + B • If A then B A  B • A if and only if B (A  B) x (B  A) • Not A A  0
  25. 25. Predicate logic in type theory • For all x ∀x corresponds to Π(x:A)P(x) • There exists x ∃x corresponds to Σ(x:A)P(x)
  26. 26. Connection to computability • Constructive logic confines itself to that which can be effectively constructed by computation • It does not include Law of Excluded Middle or Proof by Contradiction • In general the tautologies of classical logic involving NOT cannot be constructed
  27. 27. IdA(a,b) Indentity function • Has special importance in type theory IdA(a,b) type representing proposition of equality p : a =A b a = b (shorthand) refl : Π(a:A)(a=Aa)reflexivity • Homotopy Type Theory – there is a path between equals reflexivity is an infinitesimally short path from self to self paths are types (inverse path is not the same type)
  28. 28. Fundamental “Mathy” Properties of Path • Reflexivity constant path, e.g. identity • Symmetry paths can be reversed (a =A b)  (b =A a) • Transitivity concatenation of paths
  29. 29. Operations on paths • Identity (fundamental compositional element) • Associativity (p ∙ q) ∙ r = p ∙ (q ∙ r) • Transitivity p ∙ p-1 = Id(p)
  30. 30. …but equalities are proofs • So paths are proofs p : x =A y • The equivalence of 2 paths (proofs) is called a homotopy • And equality of proofs can have proofs p' : p =x=Ay q Paths between paths (i.e. equality of paths) • And these are all types • It’s turtles all the way down (equivalences of paths)
  31. 31. Exercise: • Why do paths have direction?
  32. 32. Exercise: • Why do paths have direction? • A space X is a set of points with a topology • x =A y can be seen as giving a point in X at each “moment in time” • More intuitively, proofs are directional
  33. 33. The Fundamental Theorem of Type Theory • Induction principal for identity types • Similar to 2 step number theory induction (prove base case, prove a step) • Except there is only one step to prove • To prove a statement (or construct an object) that depends on path identity, p: x = A y it suffices to prove (or construct) the special case where x and y are the same. p is thus the reflexivity element. • “by induction it suffices to assume…”
  34. 34. Axiom of function extensionality • (f = g) ⋍ Π(x:A)(f(x) =B(x) g(x)) 2 functions that are pointwise equal, would be equal a path in a function space would be a continuous homotopy …but basic type theory is insufficient to prove this • Axiom: there is a certain function happly : (f = g)  Π(x:A)(f(x) = B(x)g(x))
  35. 35. Exercise: • Why is function extensionality an axiom?
  36. 36. Axiom of univalence • Lemma: for types A,B : U, there is a certain function idtoeqv : (A =U B)  (A ⋍ B) • Axiom (univalence): for any A,B : U, the function idtoeqv is an equivalence, (A =U B) ⋍ (A ⋍ B)
  37. 37. More exercises (from the Hott Book): • 2.4 – Define, by induction on n, a general notion of n-dimensional path in a type A, simultaneously with the type of boundaries for such paths.
  38. 38. More exercises (from the Hott Book): • 1.15 – Show the indiscernibility of identicals follows from path induction.
  39. 39. More exercises (from the Hott Book): • 1.14 – Why do the induction principles for identity types not allow us to construct a function f : Π(x:A) Π(p:x=x)(p= reflx) with the defining equation f(x, reflx) :≡ reflreflx ?

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