Exponential hierarchy: Difference between revisions

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In [[computational complexity theory]], the '''exponential hierarchy''' is a hierarchy of [[complexity class]]es that is an [[EXPTIME|exponential time]] analogue of the [[polynomial hierarchy]]. As elsewhere in complexity theory, “exponential” is used in two different meanings (linear exponential bounds <math>2^{cn}</math> for a constant ''c'', and full exponential bounds <math>2^{n^c}</math>), leading to two versions of the exponential hierarchy.<ref>Sarah Mocas, Separating classes in the exponential-time hierarchy from classes in ''PH'', [[Theoretical Computer Science (journal)|Theoretical Computer Science]] 158 (1996), no.&nbsp;1–2, pp.&nbsp;221–231.</ref><ref name=":0">Anuj Dawar, Georg Gottlob, Lauri Hella, Capturing relativized complexity classes without order, Mathematical Logic Quarterly 44 (1998), no.&nbsp;1, pp.&nbsp;109–122.</ref> This hierarchy is sometimes also referred to as the ''weak'' exponential hierarchy, to differentiate it from the ''strong'' exponential hierarchy.<ref name=":0" /><ref>{{Cite journal|last=Hemachandra|first=Lane A.|date=1989|title=The strong exponential hierarchy collapses|url=|journal=[[Journal of Computer and System Sciences]]|language=en|volume=39|issue=3|pages=299–322|doi=10.1016/0022-0000(89)90025-1}}</ref>
In [[computational complexity theory]], the '''exponential hierarchy''' is a hierarchy of [[complexity class]]es that is an [[EXPTIME|exponential time]] analogue of the [[polynomial hierarchy]]. As elsewhere in complexity theory, “exponential” is used with two different meanings (linear exponential bounds <math>2^{cn}</math> for a constant ''c'', and full exponential bounds <math>2^{n^c}</math>), leading to two versions of the exponential hierarchy.<ref>Sarah Mocas, Separating classes in the exponential-time hierarchy from classes in ''PH'', [[Theoretical Computer Science (journal)|Theoretical Computer Science]] 158 (1996), no.&nbsp;1–2, pp.&nbsp;221–231.</ref><ref name=":0">Anuj Dawar, [[Georg Gottlob]], Lauri Hella, Capturing relativized complexity classes without order, Mathematical Logic Quarterly 44 (1998), no.&nbsp;1, pp.&nbsp;109–122.</ref> These hierarchies are sometimes also referred to as the ''weak'' exponential hierarchies, to differentiate them from the ''strong'' exponential hierarchy, which contains both of the weak hierarchies.<ref name=":0" /><ref>{{Cite journal|last=Hemachandra|first=Lane A.|date=1989|title=The strong exponential hierarchy collapses|url=|journal=[[Journal of Computer and System Sciences]]|language=en|volume=39|issue=3|pages=299–322|doi=10.1016/0022-0000(89)90025-1}}</ref>


==EH==
==EH==
The complexity class EH is the union of the classes <math>\Sigma^\mathsf{E}_k</math> for all ''k'', where <math>\Sigma^\mathsf{E}_k=\mathsf{NE}^{\Sigma^\mathsf{P}_{k-1}}</math> (i.e., languages computable in [[nondeterministic Turing machine|nondeterministic]] time <math>2^{cn}</math> for some constant ''c'' with a <math>\Sigma^\mathsf{P}_{k-1}</math> [[oracle Turing machine|oracle]]) and <math>\Sigma^\mathsf{E}_0 = \mathsf{E}</math>. One also defines  
The complexity class EH is the union of the classes <math>\Sigma^\mathsf{E}_k</math> for all ''k'', where [[E (complexity)|<math>\Sigma^\mathsf{E}_0 = \mathsf{E}</math>]] and <math>\Sigma^\mathsf{E}_k=\mathsf{NE}^{\Sigma^\mathsf{P}_{k-1}}</math> (i.e., languages computable in [[nondeterministic Turing machine|nondeterministic]] time <math>2^{cn}</math> for some constant ''c'' with a <math>\Sigma^\mathsf{P}_{k-1}</math> [[oracle Turing machine|oracle]]). One also defines  


:<math>\Pi^\mathsf{E}_k=\mathsf{coNE}^{\Sigma^\mathsf{P}_{k-1}}</math> and <math>\Delta^\mathsf{E}_k=\mathsf{E}^{\Sigma^\mathsf{P}_{k-1}}.</math>
:<math>\Pi^\mathsf{E}_k=\mathsf{coNE}^{\Sigma^\mathsf{P}_{k-1}}</math> and <math>\Delta^\mathsf{E}_k=\mathsf{E}^{\Sigma^\mathsf{P}_{k-1}}.</math>
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where <math>R(x,y_1,\ldots,y_k)</math> is computable in time <math>2^{|x|^c}</math> for some ''c'', which again implicitly bounds the length of ''y<sub>i</sub>''. Equivalently, EXPH is the class of languages computable in time <math>2^{n^c}</math> on an alternating Turing machine with constantly many alternations.
where <math>R(x,y_1,\ldots,y_k)</math> is computable in time <math>2^{|x|^c}</math> for some ''c'', which again implicitly bounds the length of ''y<sub>i</sub>''. Equivalently, EXPH is the class of languages computable in time <math>2^{n^c}</math> on an alternating Turing machine with constantly many alternations.
==The strong exponential hierarchy==
The strong exponential hierarchy, denoted SEH, is the union of NE, NP<sup>NE</sup>, NP<sup>NP<sup>NE</sup></sup>, and so on.<ref name="seh">https://complexityzoo.net/Complexity_Zoo:S#seh</ref>
The same class is obtained if we replace NE by NEXP.<ref name="seh"/>


==Comparison==
==Comparison==

Latest revision as of 14:38, 4 December 2025

In computational complexity theory, the exponential hierarchy is a hierarchy of complexity classes that is an exponential time analogue of the polynomial hierarchy. As elsewhere in complexity theory, “exponential” is used with two different meanings (linear exponential bounds 2cn for a constant c, and full exponential bounds 2nc), leading to two versions of the exponential hierarchy.[1][2] These hierarchies are sometimes also referred to as the weak exponential hierarchies, to differentiate them from the strong exponential hierarchy, which contains both of the weak hierarchies.[2][3]

EH

The complexity class EH is the union of the classes ΣkE for all k, where Σ0E=E and ΣkE=NEΣk1P (i.e., languages computable in nondeterministic time 2cn for some constant c with a Σk1P oracle). One also defines

ΠkE=coNEΣk1P and ΔkE=EΣk1P.

An equivalent definition is that a language L is in ΣkE if and only if it can be written in the form

xLy1y2QykR(x,y1,,yk),

where R(x,y1,,yn) is a predicate computable in time 2c|x| (which implicitly bounds the length of yi). Also equivalently, EH is the class of languages computable on an alternating Turing machine in time 2cn for some c with constantly many alternations.

EXPH

EXPH is the union of the classes ΣkEXP, where ΣkEXP=NEXPΣk1P (languages computable in nondeterministic time 2nc for some constant c with a Σk1P oracle), Σ0EXP=EXP, and again:

ΠkEXP=coNEXPΣk1P,ΔkEXP=EXPΣk1P.

A language L is in ΣkEXP if and only if it can be written as

xLy1y2QykR(x,y1,,yk),

where R(x,y1,,yk) is computable in time 2|x|c for some c, which again implicitly bounds the length of yi. Equivalently, EXPH is the class of languages computable in time 2nc on an alternating Turing machine with constantly many alternations.

The strong exponential hierarchy

The strong exponential hierarchy, denoted SEH, is the union of NE, NPNE, NPNPNE, and so on.[4]

The same class is obtained if we replace NE by NEXP.[4]

Comparison

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ENE ⊆ EH⊆ ESPACE,
EXPNEXP ⊆ EXPH⊆ EXPSPACE,
EH ⊆ EXPH.

References

<templatestyles src="Reflist/styles.css" />

  1. Sarah Mocas, Separating classes in the exponential-time hierarchy from classes in PH, Theoretical Computer Science 158 (1996), no. 1–2, pp. 221–231.
  2. a b Anuj Dawar, Georg Gottlob, Lauri Hella, Capturing relativized complexity classes without order, Mathematical Logic Quarterly 44 (1998), no. 1, pp. 109–122.
  3. Script error: No such module "Citation/CS1".
  4. a b https://complexityzoo.net/Complexity_Zoo:S#seh

Script error: No such module "Check for unknown parameters".

External links

Template:CZoo

Template:ComplexityClasses