Quadratically Tight Relations for Randomized Query Complexity

In this work we investigate the problem of quadratically tightly approximating the randomized query complexity of Boolean functions R ( f ). The certificate complexity C ( f ) is such a complexity measure for the zero-error randomized query complexity R 0 ( f ): C ( f ) ≤ R 0 ( f ) ≤ C ( f ) 2 . In...

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Vydané v:Theory of computing systems Ročník 64; číslo 1; s. 101 - 119
Hlavní autori: Jain, Rahul, Klauck, Hartmut, Kundu, Srijita, Lee, Troy, Santha, Miklos, Sanyal, Swagato, Vihrovs, Jevgēnijs
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.01.2020
Springer Nature B.V
Springer Verlag
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Abstract In this work we investigate the problem of quadratically tightly approximating the randomized query complexity of Boolean functions R ( f ). The certificate complexity C ( f ) is such a complexity measure for the zero-error randomized query complexity R 0 ( f ): C ( f ) ≤ R 0 ( f ) ≤ C ( f ) 2 . In the first part of the paper we introduce a new complexity measure, expectational certificate complexity E C ( f ), which is also a quadratically tight bound on R 0 ( f ): E C ( f ) ≤ R 0 ( f ) = O ( E C ( f ) 2 ). For R ( f ), we prove that E C 2/3 ≤ R ( f ). We then prove that E C ( f ) ≤ C ( f ) ≤ E C ( f ) 2 and show that there is a quadratic separation between the two, thus E C ( f ) gives a tighter upper bound for R 0 ( f ). The measure is also related to the fractional certificate complexity F C ( f ) as follows: F C ( f ) ≤ E C ( f ) = O ( F C ( f ) 3/2 ). This also connects to an open question by Aaronson whether F C ( f ) is a quadratically tight bound for R 0 ( f ), as E C ( f ) is in fact a relaxation of F C ( f ). In the second part of the work, we investigate whether the corruption bound c o r r 𝜖 ( f ) quadratically approximates R ( f ). By Yao’s theorem, it is enough to prove that the square of the corruption bound upper bounds the distributed query complexity D 𝜖 μ ( f ) for all input distributions μ . Here, we show that this statement holds for input distributions in which the various bits of the input are distributed independently. This is a natural and interesting subclass of distributions, and is also in the spirit of the input distributions studied in communication complexity in which the inputs to the two communicating parties are statistically independent. Our result also improves upon a result of Harsha et al. ( 2016 ), who proved a similar weaker statement. We also note that a similar statement in the communication complexity is open.
AbstractList In this work we investigate the problem of quadratically tightly approximating the randomized query complexity of Boolean functions R ( f ). The certificate complexity C ( f ) is such a complexity measure for the zero-error randomized query complexity R 0 ( f ): C ( f ) ≤ R 0 ( f ) ≤ C ( f ) 2 . In the first part of the paper we introduce a new complexity measure, expectational certificate complexity E C ( f ), which is also a quadratically tight bound on R 0 ( f ): E C ( f ) ≤ R 0 ( f ) = O ( E C ( f ) 2 ). For R ( f ), we prove that E C 2/3 ≤ R ( f ). We then prove that E C ( f ) ≤ C ( f ) ≤ E C ( f ) 2 and show that there is a quadratic separation between the two, thus E C ( f ) gives a tighter upper bound for R 0 ( f ). The measure is also related to the fractional certificate complexity F C ( f ) as follows: F C ( f ) ≤ E C ( f ) = O ( F C ( f ) 3/2 ). This also connects to an open question by Aaronson whether F C ( f ) is a quadratically tight bound for R 0 ( f ), as E C ( f ) is in fact a relaxation of F C ( f ). In the second part of the work, we investigate whether the corruption bound c o r r 𝜖 ( f ) quadratically approximates R ( f ). By Yao’s theorem, it is enough to prove that the square of the corruption bound upper bounds the distributed query complexity D 𝜖 μ ( f ) for all input distributions μ . Here, we show that this statement holds for input distributions in which the various bits of the input are distributed independently. This is a natural and interesting subclass of distributions, and is also in the spirit of the input distributions studied in communication complexity in which the inputs to the two communicating parties are statistically independent. Our result also improves upon a result of Harsha et al. ( 2016 ), who proved a similar weaker statement. We also note that a similar statement in the communication complexity is open.
In this work we investigate the problem of quadratically tightly approximating the randomized query complexity of Boolean functions R(f). The certificate complexity C(f) is such a complexity measure for the zero-error randomized query complexity R0(f): C(f) ≤R0(f) ≤C(f)2. In the first part of the paper we introduce a new complexity measure, expectational certificate complexity EC(f), which is also a quadratically tight bound on R0(f): EC(f) ≤R0(f) = O(EC(f)2). For R(f), we prove that EC2/3 ≤R(f). We then prove that EC(f) ≤C(f) ≤EC(f)2 and show that there is a quadratic separation between the two, thus EC(f) gives a tighter upper bound for R0(f). The measure is also related to the fractional certificate complexity FC(f) as follows: FC(f) ≤EC(f) = O(FC(f)3/2). This also connects to an open question by Aaronson whether FC(f) is a quadratically tight bound for R0(f), as EC(f) is in fact a relaxation of FC(f). In the second part of the work, we investigate whether the corruption bound corrðoe-(f) quadratically approximates R(f). By Yao’s theorem, it is enough to prove that the square of the corruption bound upper bounds the distributed query complexity Dðoe-μ(f)\(\mathsf {D}^{\mu }_{\epsilon }(f)\) for all input distributions μ. Here, we show that this statement holds for input distributions in which the various bits of the input are distributed independently. This is a natural and interesting subclass of distributions, and is also in the spirit of the input distributions studied in communication complexity in which the inputs to the two communicating parties are statistically independent. Our result also improves upon a result of Harsha et al. (2016), who proved a similar weaker statement. We also note that a similar statement in the communication complexity is open.
Author Jain, Rahul
Santha, Miklos
Sanyal, Swagato
Lee, Troy
Kundu, Srijita
Klauck, Hartmut
Vihrovs, Jevgēnijs
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Cites_doi 10.1016/j.jcss.2007.06.020
10.1007/BF02125350
10.4086/cjtcs.2016.008
10.1007/s00493-014-3189-x
10.1016/S0304-3975(01)00144-X
10.1145/502090.502097
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10.1109/CCC.2010.31
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10.1109/PSCT.1987.10319267
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Copyright Springer Science+Business Media, LLC, part of Springer Nature 2019
Theory of Computing Systems is a copyright of Springer, (2019). All Rights Reserved.
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Keywords Corruption bound
Randomized algorithms
Certificate complexity
Query complexity
Fractional block sensitivity
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Snippet In this work we investigate the problem of quadratically tightly approximating the randomized query complexity of Boolean functions R ( f ). The certificate...
In this work we investigate the problem of quadratically tightly approximating the randomized query complexity of Boolean functions R(f). The certificate...
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StartPage 101
SubjectTerms Boolean algebra
Boolean functions
Communication
Complexity
Computational Complexity
Computer Science
Computer Science Symposium in Russia
Error analysis
Queries
Randomization
Theory of Computation
Upper bounds
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Title Quadratically Tight Relations for Randomized Query Complexity
URI https://link.springer.com/article/10.1007/s00224-019-09935-x
https://www.proquest.com/docview/2270288018
https://hal.science/hal-02351409
Volume 64
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