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An Introduction to Reverse Mathematics Noah A. Hughes Appalachian State University Boone, NC March 28, 2014 Appalachian State University Mathematical Sciences Colloquium Series Outline Preliminary Definitions Motivations Reverse


  1. An Introduction to Reverse Mathematics Noah A. Hughes Appalachian State University Boone, NC March 28, 2014 Appalachian State University Mathematical Sciences Colloquium Series

  2. Outline • Preliminary Definitions • Motivations • Reverse mathematics • Constructing the big five subsystems • Original results regarding marriage theorems

  3. Preliminaries An axiom system is a set of mathematical statements we take as true. We then use the axioms to deduce mathematical theorems. Example: ZFC is the standard foundation for mathematics. Example: The Peano axioms are nine statements which define the natural numbers.

  4. Preliminaries An axiom system is a set of mathematical statements we take as true. We then use the axioms to deduce mathematical theorems. Example: ZFC is the standard foundation for mathematics. Example: The Peano axioms are nine statements which define the natural numbers. If we can prove a theorem ϕ in an axiom system T then we write T ⊢ ϕ . If ϕ requires an additional axiom A (along with those in T ) to be proven we write T + A ⊢ ϕ ← → T ⊢ A ⇒ ϕ .

  5. Preliminaries We build formulas from the three atomic formula x = y , x < y , x ∈ X , using logical connectives and quantifiers. Logical Connectives: → , ↔ , ¬ , ∧ , ∨ Quantifiers: ∃ x , ∀ y , ∃ X , ∀ Y Example: x ∈ X ↔ ∃ y ( x = 2 · y ) .

  6. A Question How do theorems relate in mathematics?

  7. A Question How do theorems relate in mathematics? Suppose we have two mathematical theorems ϕ 1 and ϕ 2 that we would like to compare. → What does it mean to say ϕ 1 is “stronger” than ϕ 2 ? → Or to say ϕ 1 and ϕ 2 are “equivalent”? → Can we determine if these theorems are even comparable or are they independent of each other? → What if ϕ 1 and ϕ 2 are from different areas of mathematics?

  8. A Possible Strategy Suppose we have a substantially weak axiom system B (the base theory ) that proves ϕ 1 but not does not prove ϕ 2 : B ⊢ ϕ 1 B �⊢ ϕ 2 .

  9. A Possible Strategy Suppose we have a substantially weak axiom system B (the base theory ) that proves ϕ 1 but not does not prove ϕ 2 : B ⊢ ϕ 1 B �⊢ ϕ 2 . If we find an additional axiom A 1 and show that B + A 1 ⊢ ϕ 2 , then we may conclude ϕ 2 is logically stronger than ϕ 1 .

  10. A Possible Strategy Suppose we have a substantially weak axiom system B (the base theory ) that proves ϕ 1 but not does not prove ϕ 2 : B ⊢ ϕ 1 B �⊢ ϕ 2 . If we find an additional axiom A 1 and show that B + A 1 ⊢ ϕ 2 , then we may conclude ϕ 2 is logically stronger than ϕ 1 . This is a rough measure of logical strength. A 1 may be wildly powerful and give us little insight into the difference in ϕ 1 and ϕ 2

  11. “Reversing” mathematics for a better measure Because B + A 1 ⊢ ϕ 2 we already know B ⊢ A 1 ⇒ ϕ 2 . Suppose we can show B + ϕ 2 ⊢ A 1 , that is, B ⊢ ϕ 2 ⇒ A 1 .

  12. “Reversing” mathematics for a better measure Because B + A 1 ⊢ ϕ 2 we already know B ⊢ A 1 ⇒ ϕ 2 . Suppose we can show B + ϕ 2 ⊢ A 1 , that is, B ⊢ ϕ 2 ⇒ A 1 . This is called reversing the theorem ϕ 2 to the axiom A 1 .

  13. “Reversing” mathematics for a better measure Because B + A 1 ⊢ ϕ 2 we already know B ⊢ A 1 ⇒ ϕ 2 . Suppose we can show B + ϕ 2 ⊢ A 1 , that is, B ⊢ ϕ 2 ⇒ A 1 . This is called reversing the theorem ϕ 2 to the axiom A 1 . We can now conclude that A 1 and ϕ 2 are provably equivalent over the base theory B , i.e. B ⊢ A 1 ⇐ ⇒ ϕ 2 .

  14. Extending this classification Let’s consider a third theorem ϕ 3 . Suppose after some analysis we find another axiom A 2 differing from A 1 such that B ⊢ A 2 ⇐ ⇒ ϕ 3 . What can we conclude about the relationships between our three theorems ϕ 1 , ϕ 2 and ϕ 3 ?

  15. Extending this classification Let’s consider a third theorem ϕ 3 . Suppose after some analysis we find another axiom A 2 differing from A 1 such that B ⊢ A 2 ⇐ ⇒ ϕ 3 . What can we conclude about the relationships between our three theorems ϕ 1 , ϕ 2 and ϕ 3 ? To determine the relationship between ϕ 2 and ϕ 3 we need to know how A 1 and A 2 compare.

  16. Is this a good strategy?

  17. Is this a good strategy? Possible complications: • It may be extremely difficult to determine the relationship between two axioms. • The theorems of mathematics are extremely diverse. As we consider more theorems we may need more and more axioms to determine their logical strength. • Each of these axioms may only classify a small number of theorems.

  18. Is this a good strategy? Possible complications: • It may be extremely difficult to determine the relationship between two axioms. • The theorems of mathematics are extremely diverse. As we consider more theorems we may need more and more axioms to determine their logical strength. • Each of these axioms may only classify a small number of theorems. In short, this could become a real mess.

  19. It is! (Surprisingly) It turns out that with the specific base theory RCA 0 we need only four additional axioms ( A 1 , A 2 , A 3 , A 4 ) to classify an enormous amount of mathematical theorems. We call RCA 0 and the four axiom systems which are obtained from appending A 1 , A 2 , A 3 or A 4 to the base theory the big five: Π 1 RCA 0 WKL 0 ACA 0 ATR 0 1 − CA 0 .

  20. It is! (Surprisingly) It turns out that with the specific base theory RCA 0 we need only four additional axioms ( A 1 , A 2 , A 3 , A 4 ) to classify an enormous amount of mathematical theorems. We call RCA 0 and the four axiom systems which are obtained from appending A 1 , A 2 , A 3 or A 4 to the base theory the big five: Π 1 RCA 0 WKL 0 ACA 0 ATR 0 1 − CA 0 . Reverse mathematics is the program dedicated to classifying the logical strength of mathematical theorems via these five axiom systems.

  21. Reverse mathematics Π 1 RCA 0 WKL 0 ACA 0 ATR 0 1 − CA 0 Each is a weak subsystem of second order arithmetic . The strength of each system is measured by the amount of set comprehension available. Example: Take our three theorems ϕ 1 , ϕ 2 and ϕ 3 . If we show RCA 0 ⊢ ϕ 1 RCA 0 ⊢ WKL 0 ⇐ ⇒ ϕ 2 RCA 0 ⊢ ACA 0 ⇐ ⇒ ϕ 3 , we know the theorems compare in terms of logical strength.

  22. Second Order Arithmetic Denoted Z 2 . Language: Number variables: x , y , z Set variables: X , Y , Z basic arithmetic axioms n + 1 � = 0 m + 1 = n + 1 → m = n m + 0 = m m + ( n + 1 ) = ( m + n ) + 1 m · 0 = 0 m · ( n + 1 ) = ( m · n ) + m ¬ m < 0 m < n + 1 ↔ ( m < n ∨ m = n )

  23. Second Order Arithmetic Denoted Z 2 . Language: Number variables: x , y , z Set variables: X , Y , Z basic arithmetic axioms (0, 1, +, × , =, and < behave as usual.)

  24. Second Order Arithmetic Denoted Z 2 . Language: Number variables: x , y , z Set variables: X , Y , Z basic arithmetic axioms (0, 1, +, × , =, and < behave as usual.) The second order induction scheme ( ψ ( 0 ) ∧ ∀ n ( ψ ( n ) → ψ ( n + 1 ))) → ∀ n ψ ( n ) where ψ ( n ) is any formula in Z 2 .

  25. Second Order Arithmetic Denoted Z 2 . Language: Number variables: x , y , z Set variables: X , Y , Z basic arithmetic axioms (0, 1, +, × , =, and < behave as usual.) The second order induction scheme ( ψ ( 0 ) ∧ ∀ n ( ψ ( n ) → ψ ( n + 1 ))) → ∀ n ψ ( n ) where ψ ( n ) is any formula in Z 2 . Set comprehension ∃ X ∀ n ( n ∈ X ↔ ϕ ( n )) where ϕ ( n ) is any formula of Z 2 in which X does not occur freely.

  26. Recursive Comprehension and RCA 0 RCA 0 is the subsystem of Z 2 whose axioms are: basic arithmetic axioms Restricted induction ( ψ ( 0 ) ∧ ∀ n ( ψ ( n ) → ψ ( n + 1 ))) → ∀ n ψ ( n ) where ψ ( n ) has (at most) one number quantifier. Recursive set comprehension Recursive or computable sets exist.

  27. Coding In Z 2 we can only speak of natural numbers and sets of natural numbers but we can encode a surprising amount of mathematics using only these tools.

  28. Coding In Z 2 we can only speak of natural numbers and sets of natural numbers but we can encode a surprising amount of mathematics using only these tools. The pairing map : ( i , j ) = ( i + j ) 2 + i . This encodes pairs as a single natural number: ( 2 , 3 ) = ( 2 + 3 ) 2 + 2 = 27 ( 0 , 17 ) = ( 0 + 17 ) 2 + 0 = 17 2

  29. Coding In Z 2 we can only speak of natural numbers and sets of natural numbers but we can encode a surprising amount of mathematics using only these tools. The pairing map : ( i , j ) = ( i + j ) 2 + i . This encodes pairs as a single natural number: ( 2 , 3 ) = ( 2 + 3 ) 2 + 2 = 27 ( 0 , 17 ) = ( 0 + 17 ) 2 + 0 = 17 2 We can use sets of pairs to describe a function or a countable sequence.

  30. Coding In Z 2 we can only speak of natural numbers and sets of natural numbers but we can encode a surprising amount of mathematics using only these tools. The pairing map : ( i , j ) = ( i + j ) 2 + i . This encodes pairs as a single natural number: ( 2 , 3 ) = ( 2 + 3 ) 2 + 2 = 27 ( 0 , 17 ) = ( 0 + 17 ) 2 + 0 = 17 2 We can use sets of pairs to describe a function or a countable sequence. Encoding a triple: ( 2 , 3 , 4 ) = (( 2 , 3 ) , 4 ) = ( 27 , 4 ) = ( 27 + 4 ) 2 + 27

  31. Coding Z 2 is remarkably expressive. Within RCA 0 we may construct the number system of the integers Z .

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