Lawler's algorithm: Difference between revisions

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High-order logic is an extension of [[FO (complexity)|first-order]] and [[SO (complexity)|second-order]] with high order quantifiers. In [[descriptive complexity]] we can see that it is equal to the [[ELEMENTARY]] functions.<ref>{{Citation | author = Lauri Hella and José María Turull-Torres | title =Computing queries with higher-order logics | journal =Theoretical Computer Science | volume = 355 | edition= (what is called "number" in bibtex) | issue = 2 | year = 2006 | pages = 197&ndash;214  | issn =0304-3975 | publisher =Elsevier Science Publishers Ltd. | place =  Essex, UK | url = http://portal.acm.org/citation.cfm?id=1142890.1142897}}</ref> There is a relation between the <math>i</math>th order and non determinist algorithm the time of which is with <math>i-1</math> level of exponentials.
 
== Definitions and notations ==
We define high-order variable, a variable of order <math>i>1</math> has got an arity <math>k</math> and represent any set of <math>k</math>-[[tuple]]s of elements of order <math>i-1</math>. They are usually written in upper-case and with a natural number as exponent to indicate the order. High order logic is the set of [[FO (complexity)|FO]] formulae where we add quantification over higher-order variables, hence we will use the terms defined in the [[FO (complexity)|FO]] article without defining them again.
 
HO<math>^i</math> is the set of formulae where variable's order are at most <math>i</math>. HO<math>^i_j</math> is the subset of the formulae of the form <math>\phi=\exists \overline{X^i_1}\forall\overline{X_2^i}\dots Q \overline{X_j^i}\psi</math> where <math>Q</math> is a quantifier, <math>Q \overline{X^i}</math> means that <math>\overline{X^i}</math> is  a tuple of variable of order <math>i</math> with the same quantification. So it is the set of formulae with <math>j</math> alternations of quantifiers of <math>i</math>th order, beginning by and <math>\exists</math>, followed by a formula of order <math>i-1</math>.
 
Using the [[Tetration#Notation|tetration]]'s standard notation, <math>\exp_2^0(x)=x</math> and <math> \exp_2^{i+1}(x)=2^{\exp_2^{i}(x)}</math>. <math> \exp_2^{i+1}(x)=2^{2^{2^{2^{\dots^{2^{x}}}}}}</math> with <math>i</math> times <math>2</math>
 
== Property ==
===Normal form===
Every formula of <math>i</math>th order is equivalent to a formula in prenex normal form, where we first write quantification over variable of <math>i</math>th order and then a formula of order <math>i-1</math> in normal form.
 
=== Relation to complexity classes===
HO is equal to [[ELEMENTARY]] functionsTo be more precise, <math>\text{HO}^i_0 = \text{NTIME}(\exp_2^{i-2}(n^{O(1)}))</math>, it means a tower of <math>(i-2)</math> 2s, ending with <math>n^c</math> where <math>c</math> is a constant. A special case of it is that <math>\exists{}SO</math>=HO<math>^2_0</math>=NTIME(<math>n^{O(1)}</math>)=[[NP (complexity)|NP]], which is exactly the [[Fagin's theorem]]. Using [[oracle machine]]s in the [[polynomial hierarchy]], HO<math>^i_j</math>=[[NTIME]](<math>\exp_2^{i-2}(n^{O(1)})^{\Sigma_j^{\rm P}}</math>)
 
==References==
{{Reflist}}
 
==External links==
* [http://qwiki.stanford.edu/wiki/Complexity_Zoo:H#ho|Complexity zoo about HO].
 
[[Category:Finite model theory]]
[[Category:Descriptive complexity]]
[[Category:Computational complexity theory]]

Latest revision as of 23:37, 29 May 2013

High-order logic is an extension of first-order and second-order with high order quantifiers. In descriptive complexity we can see that it is equal to the ELEMENTARY functions.[1] There is a relation between the th order and non determinist algorithm the time of which is with level of exponentials.

Definitions and notations

We define high-order variable, a variable of order has got an arity and represent any set of -tuples of elements of order . They are usually written in upper-case and with a natural number as exponent to indicate the order. High order logic is the set of FO formulae where we add quantification over higher-order variables, hence we will use the terms defined in the FO article without defining them again.

HO is the set of formulae where variable's order are at most . HO is the subset of the formulae of the form where is a quantifier, means that is a tuple of variable of order with the same quantification. So it is the set of formulae with alternations of quantifiers of th order, beginning by and , followed by a formula of order .

Using the tetration's standard notation, and . with times

Property

Normal form

Every formula of th order is equivalent to a formula in prenex normal form, where we first write quantification over variable of th order and then a formula of order in normal form.

Relation to complexity classes

HO is equal to ELEMENTARY functions. To be more precise, , it means a tower of 2s, ending with where is a constant. A special case of it is that =HO=NTIME()=NP, which is exactly the Fagin's theorem. Using oracle machines in the polynomial hierarchy, HO=NTIME()

References

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