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Identity Testing and Lower Bounds for Read- k Oblivious Algebraic Branching Programs

Identity testing and lower bounds for read-\(k\) oblivious algebraic branching programs
Authors: Anderson, Matthew; Forbes, Michael A.; Saptharishi, Ramprasad; Shpilka, Amir; Volk, Ben Lee;

Identity Testing and Lower Bounds for Read- k Oblivious Algebraic Branching Programs

Abstract

Read- k oblivious algebraic branching programs are a natural generalization of the well-studied model of read-once oblivious algebraic branching program (ABP). In this work, we give an exponential lower bound of exp ( n/k O ( k ) ) on the width of any read- k oblivious ABP computing some explicit multilinear polynomial f that is computed by a polynomial-size depth-3 circuit. We also study the polynomial identity testing (PIT) problem for this model and obtain a white-box subexponential-time PIT algorithm. The algorithm runs in time 2 Õ( n 1−1/2 k −1 ) and needs white box access only to know the order in which the variables appear in the ABP.

Keywords

FOS: Computer and information sciences, Lower Bounds, algebraic circuits, polynomial identity testing, Networks and circuits as models of computation; circuit complexity, Computational Complexity (cs.CC), 004, lower bounds, Computer Science - Computational Complexity, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Analysis of algorithms, Derandomization, algebraic complexity theory, Algebraic Complexity, Polynomial Identity Testing, ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
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