Quantifier elimination




Quantifier elimination is a concept of simplification used in mathematical logic, model theory, and theoretical computer science. Informally, a quantified statement "x{displaystyle exists x}exists x such that {displaystyle ldots }ldots " can be viewed as a question "When is there an x{displaystyle x}x such that {displaystyle ldots }ldots ?", and the statement without quantifiers can be viewed as the answer to that question.[1]


One way of classifying formulas is by the amount of quantification. Formulas with less depth of quantifier alternation are thought of as being simpler, with the quantifier-free formulae as the simplest.
A theory has quantifier elimination if for every formula α{displaystyle alpha }alpha , there exists another formula αQF{displaystyle alpha _{QF}}alpha _{{QF}} without quantifiers that is equivalent to it (modulo this theory).




Contents






  • 1 Examples


  • 2 Algorithms and decidability


  • 3 Related concepts


  • 4 Basic ideas


  • 5 History


  • 6 See also


  • 7 References





Examples


An example from high school mathematics says that a single-variable quadratic polynomial has a real root if and only if its discriminant is non-negative:[1]


x∈R.(a≠0∧ax2+bx+c=0)⇔a≠0∧b2−4ac≥0{displaystyle exists xin mathbb {R} .(aneq 0wedge ax^{2}+bx+c=0)Leftrightarrow aneq 0wedge b^{2}-4acgeq 0}{displaystyle exists xin mathbb {R} .(aneq 0wedge ax^{2}+bx+c=0)Leftrightarrow aneq 0wedge b^{2}-4acgeq 0}

Examples of theories that have been shown decidable using quantifier elimination are Presburger arithmetic,[2]algebraically closed fields, real closed fields,[2][3] atomless Boolean algebras, term algebras, dense linear orders,[2]abelian groups,[4]random graphs as well as many of their combinations such as Boolean algebra with Presburger arithmetic, and term algebras with queues.


Quantifier eliminator for the theory of the real numbers as an ordered additive group is Fourier–Motzkin elimination; for the theory of the field of real numbers it is the Tarski–Seidenberg theorem.[2]


Quantifier elimination can also be used to show that "combining" decidable theories leads to new decidable theories.



Algorithms and decidability


If a theory has quantifier elimination, then a specific question can be addressed: Is there a method of determining αQF{displaystyle alpha _{QF}}alpha _{{QF}} for each α{displaystyle alpha }alpha ? If there is such a method we call it a quantifier elimination algorithm. If there is such an algorithm, then decidability for the theory reduces to deciding the truth of the quantifier-free sentences. Quantifier-free sentences have no variables, so their validity in a given theory can often be computed, which enables the use of quantifier elimination algorithms to decide validity of sentences.



Related concepts


Various model theoretic ideas are related to quantifier elimination, and there are various equivalent conditions.


Every theory with quantifier elimination is model complete.


A first-order theory T has quantifier elimination if and only if for any two models B and C of T and for any common substructure A of B and C, B and C are elementarily equivalent in the language of T augmented with constants from A. In fact, it is sufficient here to show that any sentence with only existential quantifiers have the same truth value in B and C.



Basic ideas


To show constructively that a theory has quantifier elimination, it suffices to show that we can eliminate an existential quantifier applied to a conjunction of literals, that is, show that each formula of the form:


x.⋀i=1nLi{displaystyle exists x.bigwedge _{i=1}^{n}L_{i}}exists x.bigwedge _{{i=1}}^{n}L_{i}

where each Li{displaystyle L_{i}}L_i is a literal, is equivalent to a quantifier-free formula. Indeed, suppose we know how to eliminate quantifiers from conjunctions of formulae, then if F{displaystyle F}F is a quantifier-free formula, we can write it in disjunctive normal form


j=1m⋀i=1nLij,{displaystyle bigvee _{j=1}^{m}bigwedge _{i=1}^{n}L_{ij},}bigvee _{{j=1}}^{m}bigwedge _{{i=1}}^{n}L_{{ij}},

and use the fact that


x.⋁j=1m⋀i=1nLij{displaystyle exists x.bigvee _{j=1}^{m}bigwedge _{i=1}^{n}L_{ij}}exists x.bigvee _{{j=1}}^{m}bigwedge _{{i=1}}^{n}L_{{ij}}

is equivalent to


j=1m∃x.⋀i=1nLij.{displaystyle bigvee _{j=1}^{m}exists x.bigwedge _{i=1}^{n}L_{ij}.}bigvee _{{j=1}}^{m}exists x.bigwedge _{{i=1}}^{n}L_{{ij}}.

Finally, to eliminate a universal quantifier


x.F{displaystyle forall x.F}forall x.F

where F{displaystyle F}F is quantifier-free, we transform
¬F{displaystyle lnot F}lnot F into disjunctive normal form, and use the fact that x.F{displaystyle forall x.F}forall x.F
is equivalent to ¬x.¬F.{displaystyle lnot exists x.lnot F.}lnot exists x.lnot F.



History


In early model theory, quantifier elimination was used to demonstrate that various theories possess properties like decidability and completeness. A common technique was to show first that a theory admits elimination of quantifiers and thereafter prove decidability or completeness by considering only the quantifier-free formulas. This technique can be used to show that Presburger arithmetic is decidable.


Theories could be decidable yet not admit quantifier elimination. Strictly speaking, the theory of the additive natural numbers did not admit quantifier elimination, but it was an expansion of the additive natural numbers that was shown to be decidable. Whenever a theory in a countable language is decidable, it is possible to extend its language with countably many relations to ensure that it admits quantifier elimination (for example, one can introduce a relation symbol for each formula).


Example: Nullstellensatz in ACF and DCF.



See also



  • elimination theory

  • conjunction elimination



References





  1. ^ ab Brown, Christopher W (July 31, 2002). "What is Quantifier Elimination". Retrieved Aug 30, 2018..mw-parser-output cite.citation{font-style:inherit}.mw-parser-output q{quotes:"""""""'""'"}.mw-parser-output code.cs1-code{color:inherit;background:inherit;border:inherit;padding:inherit}.mw-parser-output .cs1-lock-free a{background:url("//upload.wikimedia.org/wikipedia/commons/thumb/6/65/Lock-green.svg/9px-Lock-green.svg.png")no-repeat;background-position:right .1em center}.mw-parser-output .cs1-lock-limited a,.mw-parser-output .cs1-lock-registration a{background:url("//upload.wikimedia.org/wikipedia/commons/thumb/d/d6/Lock-gray-alt-2.svg/9px-Lock-gray-alt-2.svg.png")no-repeat;background-position:right .1em center}.mw-parser-output .cs1-lock-subscription a{background:url("//upload.wikimedia.org/wikipedia/commons/thumb/a/aa/Lock-red-alt-2.svg/9px-Lock-red-alt-2.svg.png")no-repeat;background-position:right .1em center}.mw-parser-output .cs1-subscription,.mw-parser-output .cs1-registration{color:#555}.mw-parser-output .cs1-subscription span,.mw-parser-output .cs1-registration span{border-bottom:1px dotted;cursor:help}.mw-parser-output .cs1-hidden-error{display:none;font-size:100%}.mw-parser-output .cs1-visible-error{font-size:100%}.mw-parser-output .cs1-subscription,.mw-parser-output .cs1-registration,.mw-parser-output .cs1-format{font-size:95%}.mw-parser-output .cs1-kern-left,.mw-parser-output .cs1-kern-wl-left{padding-left:0.2em}.mw-parser-output .cs1-kern-right,.mw-parser-output .cs1-kern-wl-right{padding-right:0.2em}


  2. ^ abcd Grädel, Erich; Kolaitis, Phokion G.; Libkin, Leonid; Maarten, Marx; Spencer, Joel; Vardi, Moshe Y.; Venema, Yde; Weinstein, Scott (2007). Finite model theory and its applications. Texts in Theoretical Computer Science. An EATCS Series. Berlin: Springer-Verlag. ISBN 978-3-540-00428-8. Zbl 1133.03001.


  3. ^ Fried, Michael D.; Jarden, Moshe (2008). Field arithmetic. Ergebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge. 11 (3rd revised ed.). Springer-Verlag. p. 171. ISBN 978-3-540-77269-9. Zbl 1145.12001.


  4. ^ Szmielew, W. (1955). "Elementary properties of Abelian groups". Fundamenta Mathematicae. 41: 203–271. MR 0072131.




  • Wilfrid Hodges. "Model Theory". Cambridge University Press. 1993.

  • Viktor Kuncak and Martin Rinard. "Structural Subtyping of Non-Recursive Types is Decidable". In Eighteenth Annual IEEE Symposium on Logic in Computer Science, 2003.




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