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A Lifting Theorem with Applications to Symmetric Functions

Authors Arkadev Chattopadhyay, Nikhil S. Mande

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Keywords
  • Symmetric functions
  • lifting
  • circuit complexity
  • communication com- plexity

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Abstract

We use a technique of “lifting” functions introduced by Krause and Pudlak [Theor. Comput. Sci., 1997], to amplify
degree-hardness measures of a function to corresponding monomial-hardness properties of the
lifted function. We then show that any symmetric function F projects onto a “lift” of another
suitable symmetric function f . These two key results enable us to prove several results on the
complexity of symmetric functions in various models, as given below:

1. We provide a characterization of the approximate spectral norm of symmetric functions in
terms of the spectrum of the underlying predicate, affirming a conjecture of Ada et al. [APPROX-RANDOM, 2012]
which has several consequences.

2. We characterize symmetric functions computable by quasi-polynomial sized Threshold
of Parity circuits.

3. We show that the approximate spectral norm of a symmetric function f characterizes the
(quantum and classical) bounded error communication complexity of f o XOR.

4. Finally, we characterize the weakly-unbounded error communication complexity of symmetric
XOR functions, resolving a weak form of a conjecture by Shi and Zhang [Quantum Information & Computation, 2009]

Cite As Get BibTex

Arkadev Chattopadhyay and Nikhil S. Mande. A Lifting Theorem with Applications to Symmetric Functions. In 37th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 93, pp. 23:1-23:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018) https://doi.org/10.4230/LIPIcs.FSTTCS.2017.23

Author Details

Arkadev Chattopadhyay
Nikhil S. Mande

References

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