Localizability of the approximation method

Abstract We use the approximation method of Razborov to analyze the locality barrier which arose from the investigation of the hardness magnification approach to complexity lower bounds. Adapting a limitation of the approximation method obtained by Razborov, we show that in many cases it is not possible to combine the approximation method with typical (localizable) hardness magnification theorems to derive strong circuit lower bounds. In particular, one cannot use the approximation method to derive an extremely strong constant-depth circuit lower bound and then magnify it to an $$\textsf{NC}^{1}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>NC</mml:mi> <mml:mn>1</mml:mn> </mml:msup> </mml:math> lower bound for an explicit function. To prove this, we show that lower bounds obtained by the approximation method are in many cases localizable in the sense that they imply lower bounds for circuits which are allowed to use arbitrarily powerful oracles with small fan-in.

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Publication Details

Journal
Computational Complexity
Published
2024-09-05
DOI
https://doi.org/10.1007/s00037-024-00257-0
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
0.00

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article

Localizability of the approximation method

Ján Pich
Computational Complexity
Computational Geometry and Mesh Generation
article

Localizability of the approximation method

Ján Pich
article en

Abstract

Abstract We use the approximation method of Razborov to analyze the locality barrier which arose from the investigation of the hardness magnification approach to complexity lower bounds. Adapting a limitation of the approximation method obtained by Razborov, we show that in many cases it is not possible to combine the approximation method with typical (localizable) hardness magnification theorems to derive strong circuit lower bounds. In particular, one cannot use the approximation method to derive an extremely strong constant-depth circuit lower bound and then magnify it to an $$\textsf{NC}^{1}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>NC</mml:mi> <mml:mn>1</mml:mn> </mml:msup> </mml:math> lower bound for an explicit function. To prove this, we show that lower bounds obtained by the approximation method are in many cases localizable in the sense that they imply lower bounds for circuits which are allowed to use arbitrarily powerful oracles with small fan-in.

Computational ComplexityVol. 33(2)
University of Oxford (GB)
European Commission
Openalex Percentile: Top 71%
Computational Geometry and Mesh Generation
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