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In [[computational complexity theory]], the '''exponential hierarchy''' is a hierarchy of [[complexity class]]es, which 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 158 (1996), no.&nbsp;1–2, pp.&nbsp;221–231.</ref><ref>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>
 
*EH is the union of the classes <math>\Sigma^E_k</math> for all ''k'', where <math>\Sigma^E_k=\mathrm{NE}^{\Sigma^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^P_{k-1}</math> [[oracle Turing machine|oracle]]). One also defines <math>\Pi^E_k=\mathrm{coNE}^{\Sigma^P_{k-1}}</math>, <math>\Delta^E_k=\mathrm E^{\Sigma^P_{k-1}}</math>. An equivalent definition is that a language ''L'' is in <math>\Sigma^E_k</math> if and only if it can be written in the form
::<math>x\in L\iff\exists y_1\,\forall y_2\dots Qy_k\,R(x,y_1,\dots,y_k),</math>
:where <math>R(x,y_1,\dots,y_n)</math> is a predicate computable in time <math>2^{c|x|}</math> (which implicitly bounds the length of ''y<sub>i</sub>''). Also equivalently, EH is the class of languages computable on an [[alternating Turing machine]] in time <math>2^{cn}</math> for some ''c'' with constantly many alternations.
*EXPH is the union of the classes <math>\Sigma^{EXP}_k</math>, where <math>\Sigma^{EXP}_k=\mathrm{NEXP}^{\Sigma^P_{k-1}}</math> (languages computable in nondeterministic time <math>2^{n^c}</math> for some constant ''c'' with a <math>\Sigma^P_{k-1}</math> oracle), and again <math>\Pi^{EXP}_k=\mathrm{coNEXP}^{\Sigma^P_{k-1}}</math>, <math>\Delta^{EXP}_k=\mathrm{EXP}^{\Sigma^P_{k-1}}</math>. A language ''L'' is in <math>\Sigma^{EXP}_k</math> if and only if it can be written as
::<math>x\in L\iff\exists y_1\,\forall y_2\dots Qy_k\,R(x,y_1,\dots,y_k),</math>
:where <math>R(x,y_1,\dots,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.
We have [[E (complexity)|E]] ⊆ [[NE (complexity)|NE]] ⊆ EH ⊆ [[ESPACE]], [[EXPTIME|EXP]] ⊆ [[NEXPTIME|NEXP]] ⊆ EXPH ⊆ [[EXPSPACE]], and EH ⊆ EXPH.
 
== References ==
{{reflist}}
 
==External links==
{{CZoo|Class EH|E#eh}}
 
{{ComplexityClasses}}
{{DEFAULTSORT:Exponential Hierarchy}}
[[Category:Complexity classes]]

Revision as of 18:34, 16 January 2014

In computational complexity theory, the exponential hierarchy is a hierarchy of complexity classes, which is an exponential time analogue of the polynomial hierarchy. As elsewhere in complexity theory, “exponential” is used in 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]

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.
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.

We have ENE ⊆ EH ⊆ ESPACE, EXPNEXP ⊆ EXPH ⊆ EXPSPACE, and EH ⊆ EXPH.

References

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  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. Anuj Dawar, Georg Gottlob, Lauri Hella, Capturing relativized complexity classes without order, Mathematical Logic Quarterly 44 (1998), no. 1, pp. 109–122.