{"title":"电力电路的并行算法与Baumslag群的词问题","authors":"Caroline Mattes, Armin Weiß","doi":"10.1007/s00037-023-00244-x","DOIUrl":null,"url":null,"abstract":"Abstract Power circuits have been introduced in 2012 by Myasnikov, Ushakov and Won as a data structure for non-elementarily compressed integers supporting the arithmetic operations addition and $$(x,y) \\mapsto x\\cdot 2^y$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mrow> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>x</mml:mi> <mml:mo>,</mml:mo> <mml:mi>y</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> <mml:mo>↦</mml:mo> <mml:mi>x</mml:mi> <mml:mo>·</mml:mo> <mml:msup> <mml:mn>2</mml:mn> <mml:mi>y</mml:mi> </mml:msup> </mml:mrow> </mml:math> . The same authors applied power circuits to give a polynomial time solution to the word problem of the Baumslag group, which has a non-elementary Dehn function. In this work, we examine power circuits and the word problem of the Baumslag group under parallel complexity aspects. In particular, we establish that the word problem of the Baumslag group can be solved in NC $$\\textemdash$$ <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"> <mml:mo>—</mml:mo> </mml:math> even though one of the essential steps is to compare two integers given by power circuits and this, in general, is shown to be P -complete. The key observation is that the depth of the occurring power circuits is logarithmic and such power circuits can be compared in NC .","PeriodicalId":51005,"journal":{"name":"Computational Complexity","volume":"88 1","pages":"0"},"PeriodicalIF":0.7000,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Parallel algorithms for power circuits and the word problem of the Baumslag group\",\"authors\":\"Caroline Mattes, Armin Weiß\",\"doi\":\"10.1007/s00037-023-00244-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Power circuits have been introduced in 2012 by Myasnikov, Ushakov and Won as a data structure for non-elementarily compressed integers supporting the arithmetic operations addition and $$(x,y) \\\\mapsto x\\\\cdot 2^y$$ <mml:math xmlns:mml=\\\"http://www.w3.org/1998/Math/MathML\\\"> <mml:mrow> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>x</mml:mi> <mml:mo>,</mml:mo> <mml:mi>y</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> <mml:mo>↦</mml:mo> <mml:mi>x</mml:mi> <mml:mo>·</mml:mo> <mml:msup> <mml:mn>2</mml:mn> <mml:mi>y</mml:mi> </mml:msup> </mml:mrow> </mml:math> . The same authors applied power circuits to give a polynomial time solution to the word problem of the Baumslag group, which has a non-elementary Dehn function. In this work, we examine power circuits and the word problem of the Baumslag group under parallel complexity aspects. In particular, we establish that the word problem of the Baumslag group can be solved in NC $$\\\\textemdash$$ <mml:math xmlns:mml=\\\"http://www.w3.org/1998/Math/MathML\\\"> <mml:mo>—</mml:mo> </mml:math> even though one of the essential steps is to compare two integers given by power circuits and this, in general, is shown to be P -complete. The key observation is that the depth of the occurring power circuits is logarithmic and such power circuits can be compared in NC .\",\"PeriodicalId\":51005,\"journal\":{\"name\":\"Computational Complexity\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2023-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Complexity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s00037-023-00244-x\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, THEORY & METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Complexity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s00037-023-00244-x","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
Parallel algorithms for power circuits and the word problem of the Baumslag group
Abstract Power circuits have been introduced in 2012 by Myasnikov, Ushakov and Won as a data structure for non-elementarily compressed integers supporting the arithmetic operations addition and $$(x,y) \mapsto x\cdot 2^y$$ (x,y)↦x·2y . The same authors applied power circuits to give a polynomial time solution to the word problem of the Baumslag group, which has a non-elementary Dehn function. In this work, we examine power circuits and the word problem of the Baumslag group under parallel complexity aspects. In particular, we establish that the word problem of the Baumslag group can be solved in NC $$\textemdash$$ — even though one of the essential steps is to compare two integers given by power circuits and this, in general, is shown to be P -complete. The key observation is that the depth of the occurring power circuits is logarithmic and such power circuits can be compared in NC .
期刊介绍:
computational complexity presents outstanding research in computational complexity. Its subject is at the interface between mathematics and theoretical computer science, with a clear mathematical profile and strictly mathematical format.
The central topics are:
Models of computation, complexity bounds (with particular emphasis on lower bounds), complexity classes, trade-off results
for sequential and parallel computation
for "general" (Boolean) and "structured" computation (e.g. decision trees, arithmetic circuits)
for deterministic, probabilistic, and nondeterministic computation
worst case and average case
Specific areas of concentration include:
Structure of complexity classes (reductions, relativization questions, degrees, derandomization)
Algebraic complexity (bilinear complexity, computations for polynomials, groups, algebras, and representations)
Interactive proofs, pseudorandom generation, and randomness extraction
Complexity issues in:
crytography
learning theory
number theory
logic (complexity of logical theories, cost of decision procedures)
combinatorial optimization and approximate Solutions
distributed computing
property testing.