Ordinalzahl-Registermaschinen und Modelle der Mengenlehre
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- Βαρβάρα Παπακώστας
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1 Ordinalzahl-Registermaschinen und Modelle der Mengenlehre b y Peter Koepke Universität Bonn Abstract: Wir verallgemeinern gewöhnliche Registermaschinen auf natürlichen Zahlen zu Maschinen, deren Register beliebige Ordinalzahlen enthalten können. Eine Ordinalzahl-Registermaschine kann ein rekursives beschränktes Wahrheitsprädikat auf den Ordinalzahlen berechnen. Die Klasse der Mengen von Ordinalzahlen, die sich aus dem Wahrheitsprädikat ablesen lassen, erfüllt eine natürliche Theorie SO. SO ist die Theorie der Ordinalzahlmengen in einem Modell der Mengenlehre. Daraus folgt eine neuartige Charakterisierung der konstruktiblen Mengen: eine Menge von Ordinalzahlen ist Ordinalzahlberechenbar genau dann, wenn sie Element des Gödelschen Universums L ist. 1
2 a) the zero instruction Z( n) changes the contents of R n to 0, leaving all other registers unaltered; b) the successor instruction S( n) increases the ordinal contained in R n, leaving all other registers unaltered; c) the transfer instruction T( m, n) replaces the contents of R n by the ordinal r m contained in R m, leaving all other registers unaltered; d) the jump instruction J( m, n, q) is carried out within the program P as follows: the contents r m and r n of the registers R m and R n are compared, but all the registers are left unaltered; then, if r m = r n, the ORM proceeds to the qth instruction of P; if r m r n, the ORM proceeds to the next instruction in P. 2
3 Let P = I 0, I 1,, I s 1 be a program. A triple I: θ ω, R: θ ( ω Ord) is an (ordinal register) computation by P if the following hold: a)... b)... c) If t < θ and I( t) state( P) then t + 1 < θ; the next configuration is determined by the instruction I I( t) : i. if I I( t) is the zero instruction Z( n) then let I( t + 1 ) = I( t) + 1 and define R( t + 1 ) : ω Ord by R k ( t + 1 ) = { 0, if k = n R k ( t), if k n ii.... iii.... d) If t < θ is a limit ordinal, the machine constellation at t is determined by taking inferior limits: k ω R k ( t) = liminf r t I( t) = liminf r t R k ( r) ; I( r). 3
4 O rdi nal addi ti on, c omputi ng gamma = al pha + be ta: 0 alpha : =0 1 beta : =0 2 gamma: =0 3 i f al pha=al pha the n go to 7 4 alpha : =alpha +1 5 gamma: =gamma+1 6 go to 3 7 i f beta=beta then STOP 8 beta : =beta +1 9 gamma: =gamma go to 7 4
5 Goedel pai ri ng, computi ng gamma = G( alpha, beta) : 0 alpha : =0 1 beta : =0 2 eta: =0 3 f lag: =0 3 gamma: =0 4 i f alpha=alpha and beta=beta then STOP 5 i f alpha =eta and and beta =eta and f lag=0 then alpha =0, f lag: =1, go to 4 f i 6 i f alpha =eta and and beta =eta and f lag=1 then eta: =e ta+1, al pha =eta, be ta =0, gamma: =gamma+1, go to 4 f i 7 i f beta <eta and f lag=0 then beta : =beta +1, gamma: =gamma+1, go to 4 f i 8 i f alpha <eta and f lag=1 then alpha : =alpha +1, gamma: =gamma+1, go to 4 f i 5
6 Theorem 1. Let H be an ordinal register computab le function. Define F: Ord 2 recursively: { 1 iff ν < α H( α, ν, F( ν) ) = 1 F( α) = 0 else Then F is ordinal register computable. 6
7 value: =2 %% s et value to undefi ned Mai nloop: nu: =las t( s tack) alpha: =llas t( stack) i f nu = alpha then 1 : do remove_las t_element_of( s tack) value: =0 %% s et value equal to 0 goto S ubloop end_do els e 2: do s tack: =s tack + 1 %% pus h the ordi nal 0 onto the s tac k goto Mai nloop end_do SubLoop: nu: =las t( s tack) alpha: =llas t( stack) i f alpha = UNDEFI NED then STOP els e do i f H( alpha, nu, value) =1 then 3: do remove_last_element_of ( s tack) value: =1 goto S ubloop end_ do else 4: do stack: =s tack + 2* ( 3* * y) %% pus h y+1 value: =2 %% s et value to undef i ned goto Mai nloop end_ do end_do 7
8 A bounded truth predicate: T( α) iff α is a bounded L T -sentence and ( α, <, G, T α) α. χ T ( α) = { 1 iff ν < α H( α, ν, χt ( ν) ) = 1 0 else where H( α, ν, χ) = 1 iff α is an L T -sentence and ( ξ, ζ < α ( α = c ξ c ζ ξ = ζ) or ξ, ζ < α ( α = c ξ < c ζ ξ < ζ) or ξ, ζ, η < α ( α = G ( c ξ, c ζ, c η ) η = G( ξ, ζ) ) or ξ < α ( α = R ( c ξ ) ν = ξ χ = 1 ) or ϕ < α ( α = ϕ ν = ϕ χ = 0) or ϕ, ψ < α ( α = ( ϕ ψ) ( ν = ϕ ν = ψ) χ = 1 ) or n < ω ξ < α ϕ < α ( α = v n < c ξ ϕ ζ < ξ ν = ϕ c ζ v n χ = 1 ) ). 8
9 1. Well-ordering axiom: α, β, γ( α < α ( α < β β < γ α < γ) ( α < β α = β β < α) ) a( α( α a) α( α a β( β < α β a) ) ) ; 2. Axiom of infinity ( existence of a limit ordinal) : α( β( β < α) β( β < α γ( β < γ γ < α) ) ) ; 3. Axiom of extensionality: a, b( α( α a α b) a = b) ; 4. Initial segment axiom: α a β( β < α β a) ; 5. Boundedness axiom: a α β( β a β < α) ; 6. Pairing axiom ( Gödel Pairing Function) : α, β, γ ( g( β, γ) α δ, ɛ( ( δ, ɛ) < ( β, γ) g( δ, ɛ) < α) ). Here ( α, β) < ( γ, δ) stands for η, θ( η = max ( α, β) θ = max ( γ, δ) ( η < θ ( η = θ α < γ) ( η = θ α = γ β < δ) ) ), where γ = max( α, β) abbreviates ( α > β γ = α) ( α β γ = β) ; 7. g is onto: α β, γ ( α = g( β, γ) ) ; 8. Axiom schema of separation: For all L SO -formulae φ( α, P 1,, P n ) postulate: P 1,, P n a b α ( α b α a φ( α, P 1,, P n ) ) ; 9. Axiom schema of replacement: For all L SO -formulae φ( α, β, P 1,, P n ) postulate: P 1,, P n ( ξ, ζ 1, ζ 2 ( φ( ξ, ζ 1, P 1,, P n ) φ( ξ, ζ 2, P 1,, P n ) ζ 1 = ζ 2 ) a b ζ ( ζ b ξ a φ( ξ, ζ, P 1,, P n ) ) ) ; 1 0. Powerset axiom: a b( z( α( α z) α( α z α a) = 1 ξ β( β z g( β, ξ) b) ) ). 9
10 Theorem 2. A set x of ordinals is ordinal computable if and only if it is an element of the constructible universe L. Proof. Let x Ord be ordinal computable by the program P from the ordinals δ 1,, δ n 1, so that for every α Ord: P: ( α, δ 1,, δ n 1, 0, 0, ) χ x ( α). By the simple nature of the computation procedure the same computation can be carried out inside the inner model L, so that for every α Ord: Hence χ x L and x L. ( L, ) P: ( α, δ 1,, δ n 1, 0, 0, ) χ x ( α). Conversely consider x L. Since ( Ord, S, <, =,, G) is a model of the theory SO there is an inner model M of set theory such that S = { z Ord z M }. Since L is the -smallest inner model, L M. Hence x M and x S. Let x = T( µ, α). By the computability of the truth predicate, x is ordinal register computable from the parameters µ and α. 1 0
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