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An Analog Characterization of Elementarily Computable Functions over the Real Numbers Olivier Bournez and Emmanuel Hainry LORIA/INRIA, Nancy, France April 14, 2003 An Analog Characterization of Elementarily Computable Functions over the Real


  1. An Analog Characterization of Elementarily Computable Functions over the Real Numbers Olivier Bournez and Emmanuel Hainry LORIA/INRIA, Nancy, France April 14, 2003 An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  2. Introduction Continuous models Extension of L Conclusion 1. Introduction The discrete world The continuous world 2. Continuous models Recursive analysis Class G Class L 3. Extension of L New schemata Properties of L ∗ Characterization of E ( R ) 4. Conclusion An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  3. Introduction Continuous models Extension of L Conclusion The discrete world The continuous world Discrete, Continuous ◮ Discrete world: computing over N in discrete time. (Turing machines, automata...) ◮ Continuous world: computing over R ◮ in discrete time. (Recursive analysis, BSS machines) ◮ in continuous time. (General Purpose Analog Computer, Neural networks...) An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  4. Introduction Continuous models Extension of L Conclusion The discrete world The continuous world Discrete World Church’s thesis: All reasonable discrete computational models compute the same functions. Turing machines, as well as 2-stack automata compute recursive functions ( R ec = [0 , S , U ; COMP , REC , MU ]). An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  5. Introduction Continuous models Extension of L Conclusion The discrete world The continuous world Sub-recursive functions E = [0 , S , U , + , ⊖ ; COMP , BSUM , BPROD ] E n = [0 , S , U , + , ⊖ , E n − 1 ; COMP , BSUM , BPROD ] PR = [0 , U , S ; COMP , REC ] With E 0 ( x , y ) = x + y E 1 ( x , y ) = ( x + 1) × ( y + 1) E 2 ( x ) = 2 x E n +1 ( x ) = E [ x ] f [0] ( x ) = x n (1) for n ≥ 2 with f [ d +1] ( x ) = f ( f [ d ] ( x )) An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  6. Introduction Continuous models Extension of L Conclusion The discrete world The continuous world Continuous World Several models: ◮ Recursive analysis ◮ GPAC ◮ R -recursive functions ◮ Optical models ◮ ... But no equivalent of Church thesis. An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  7. Introduction Continuous models Extension of L Conclusion Recursive analysis Class G Class L Recursive analysis: type 2 machines A tape represents a real number: Let ν Q be a representation of the rational numbers. ( x n ) � x iff ∀ i , | x − ν Q ( x i ) | < 1 2 i M behaves like a Turing Machine Read-only one-way input tapes Write-only one-way output tape. An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  8. Introduction Continuous models Extension of L Conclusion Recursive analysis Class G Class L Elementarily computable functions Definition (Elementarily computable functions on compact domains) A function f : [ a , b ] → R with a , b ∈ Q is elementarily computable iff there exists φ : N N → N N elementary such that ∀ X � x , ( φ ( X )) � f ( x ) . Definition (Elementarily computable functions on other domains) A function f : [ a , b ) → R with a , b ∈ Q is elementarily computable iff there exists φ : N N × N → N N elementary such that ∀ M < b , ∀ x ∈ [ a , M ] , ∀ X � x , ( φ ( X , M )) � f ( x ) . An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  9. Introduction Continuous models Extension of L Conclusion Recursive analysis Class G Class L Class G ([Moore96]) R ec G 0 0 1 S U U Comp Comp REC : f , g �→ h INT : f , g �→ h h ( x , 0) = f ( x ) h ( x , 0) = f ( x ) h ( x , n + 1) = g ( x , n , h ( x , n )) ∂ y h ( x , y ) = g ( x , y , h ( x , y )) MU : x , f �→ min { y ; f ( x , y ) = 0 } MU : x , f �→ inf { y | f ( x , y ) = 0 } An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  10. Introduction Continuous models Extension of L Conclusion Recursive analysis Class G Class L Troubles with G ◮ Not always well defined (0 × + ∞ = 0, integration on non integrable functions...) ◮ Contains bad functions ( χ Q which is nowhere continuous) ◮ Not physically reasonable (Zeno paradox ⇒ infinite energy required) An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  11. Introduction Continuous models Extension of L Conclusion Recursive analysis Class G Class L Class L ([Campagnolo00]) G L ′ 0 0 1 1, − 1, π U U Comp Comp INT : f , g �→ h LI : f , g �→ h h ( x , 0) = f ( x ) h ( x , 0) = f ( x ) ∂ y h ( x , y ) = g ( x , y , h ( x , y )) ∂ y h ( x , y ) = g ( x , y ) h ( x , y ) MU An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  12. Introduction Continuous models Extension of L Conclusion Recursive analysis Class G Class L Definition of L Definition ( θ 3 ) 1000 theta3(x) 800 � 0 if x < 0 600 θ 3 ( x ) = x 3 if x ≥ 0 400 200 0 -10 -5 0 5 10 Definition ( L ) L = [0 , 1 , − 1 , π, U , θ 3 ; COMP , LI ] An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  13. Introduction Continuous models Extension of L Conclusion Recursive analysis Class G Class L Properties of L Theorem (Campagnolo) L ⊂ E ( R ) Theorem (Campagnolo) E ⊂ DP ( L ) All discrete elementary functions have a real extension in L . An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  14. Introduction Continuous models Extension of L Conclusion Recursive analysis Class G Class L Definition of L n Definition ( ¯ E n ) exp 2 ( n ) = 2 n exp i +1 ( n ) = exp [ n ] i (1) ¯ E n is a monotonous real extension of exp n . Definition ( L n ) ¯ L n = [0 , 1 , − 1 , π, U , θ 3 , E n − 1 ; COMP , LI ] . An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  15. Introduction Continuous models Extension of L Conclusion Recursive analysis Class G Class L Properties of L n Theorem (Campagnolo) L n ⊂ E n ( R ) Theorem (Campagnolo) E n ⊂ DP ( L n ) All E n -computable functions over N have a real extension in L n . An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  16. Introduction Continuous models Extension of L Conclusion New schemata Properties of L ∗ Characterization of E ( R ) Observation L fails to characterize elementarily computable functions over the reals. Question: How can we characterize elementarily computable functions over the reals? Observation E ( R ) is not stable by composition. An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  17. Introduction Continuous models Extension of L Conclusion New schemata Properties of L ∗ Characterization of E ( R ) Definition of a weaker Composition schema Definition (COMP) COMP ( f , g ) is defined only if there exists a product of closed intervals C such that Range ( f ) ⊆ C ⊂ Domain ( g ). COMP ( f , g )( − → x ) = g ( f ( − → x )) . Remark: For total functions, this schema remains the classical one. An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  18. Introduction Continuous models Extension of L Conclusion New schemata Properties of L ∗ Characterization of E ( R ) Definition of a limit operator Definition (LIM) Let f : R × D → R and a polynomial β : D → R such that ∃ K such that ∀ t , x , � ∂ f ∂ t ( t , x ) � ≤ K exp( − t β ( x )) � ∂ 2 f ∂ t ∂ x ( t , x ) � ≤ K exp( − t β ( x )) Then, on an interval I ⊂ R where β ( x ) > 0, F = LIM ( f , β ) is defined by F ( x ) = t → + ∞ f ( t , x ) lim if this function is C 2 . An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  19. Introduction Continuous models Extension of L Conclusion New schemata Properties of L ∗ Characterization of E ( R ) New classes L ∗ = [0 , 1 , − 1 , U , θ 3 ; COMP , LI , LIM ] ¯ L ∗ n = [0 , 1 , − 1 , U , θ 3 , E n − 1 ; COMP , LI , LIM ] An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  20. Introduction Continuous models Extension of L Conclusion New schemata Properties of L ∗ Characterization of E ( R ) Basic properties of L ∗ � R > 0 → R ◮ 1 x : belongs to L ∗ : 1 �→ x x � 1 − exp( − tx )) if x � = 0 Let E = LI (0 , exp( − tx )). E ( t , x ) = x if x = 0 . t And 1 x = LIM ( E , x �→ x ). ◮ π ∈ L ∗ : 1 + x 2 ∈ L ∗ , 1 1+ x 2 ∈ L ∗ . 1 arctan = LI (0 , 1+ x 2 ) and π = 4 arctan(1). ◮ L � L ∗ An Analog Characterization of Elementarily Computable Functions over the Real Numbers

  21. Introduction Continuous models Extension of L Conclusion New schemata Properties of L ∗ Characterization of E ( R ) Characterization of E ( R ) Proposition L ∗ ⊆ E ( R ) Proposition Let f a C 2 function defined on a compact domain, if f ∈ E ( R ), then f ∈ L ∗ . An Analog Characterization of Elementarily Computable Functions over the Real Numbers

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