License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.FSTTCS.2016.39
URN: urn:nbn:de:0030-drops-68741
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2016/6874/
C., Ramya ;
Rao, B. V. Raghavendra
Sum of Products of Read-Once Formulas
Abstract
We study limitations of polynomials computed by depth two circuits built over read-once formulas (ROFs). In particular,
1. We prove an exponential lower bound for the sum of ROFs computing the 2n-variate polynomial in VP defined by Raz and Yehudayoff [CC,2009].
2. We obtain an exponential lower bound on the size of arithmetic circuits computing sum of products of restricted ROFs of unbounded depth computing the permanent of an n by n matrix. The restriction is on the number of variables with + gates as a parent in a proper sub formula of the ROF to be bounded by sqrt(n). Additionally, we restrict the product fan in to be bounded by a sub linear function. This proves an exponential lower bound for a subclass of possibly non-multilinear formulas of unbounded depth computing the permanent polynomial.
3. We also show an exponential lower bound for the above model against a polynomial in VP.
4. Finally we observe that the techniques developed yield an exponential lower bound on the size of sums of products of syntactically multilinear arithmetic circuits computing a product of variable disjoint linear forms where the bottom sum gate and product gates at the second level have fan in bounded by a sub linear function.
Our proof techniques are built on the measure developed by Kumar et al.[ICALP 2013] and are based on a non-trivial analysis of ROFs under random partitions. Further, our results exhibit strengths and provide more insight into the lower bound techniques introduced by Raz [STOC 2004].
BibTeX - Entry
@InProceedings{c_et_al:LIPIcs:2016:6874,
author = {Ramya C. and B. V. Raghavendra Rao},
title = {{Sum of Products of Read-Once Formulas}},
booktitle = {36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2016)},
pages = {39:1--39:15},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-027-9},
ISSN = {1868-8969},
year = {2016},
volume = {65},
editor = {Akash Lal and S. Akshay and Saket Saurabh and Sandeep Sen},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2016/6874},
URN = {urn:nbn:de:0030-drops-68741},
doi = {10.4230/LIPIcs.FSTTCS.2016.39},
annote = {Keywords: Arithmetic Circuits, Permanent, Computational Complexity, Algebraic Complexity Theory}
}
Keywords: |
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Arithmetic Circuits, Permanent, Computational Complexity, Algebraic Complexity Theory |
Collection: |
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36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2016) |
Issue Date: |
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2016 |
Date of publication: |
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10.12.2016 |