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Related papers: Lower bounds for multilinear bounded order ABPs

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Algebraic Branching Programs(ABPs) are standard models for computing polynomials. Syntactic multilinear ABPs (smABPs) are restrictions of ABPs where every variable is allowed to occur at most once in every path from the start to the…

Computational Complexity · Computer Science 2018-04-25 C. Ramya , B. V. Raghavendra Rao

In this paper, we prove super-polynomial lower bounds for the model of \emph{sum of ordered set-multilinear algebraic branching programs}, each with a possibly different ordering ($\sum \mathsf{smABP}$). Specifically, we give an explicit…

Computational Complexity · Computer Science 2024-02-20 Prerona Chatterjee , Deepanshu Kush , Shubhangi Saraf , Amir Shpilka

In this paper we study algebraic branching programs (ABPs) with restrictions on the order and the number of reads of variables in the program. Given a permutation $\pi$ of $n$ variables, for a $\pi$-ordered ABP ($\pi$-OABP), for any…

Computational Complexity · Computer Science 2010-02-09 Maurice Jansen , Youming Qiao , Jayalal Sarma

Since the breakthrough superpolynomial multilinear formula lower bounds of Raz (Theory of Computing 2006), proving such lower bounds against multilinear algebraic branching programs (mABPs) has been a longstanding open problem in algebraic…

Computational Complexity · Computer Science 2026-05-12 Deepanshu Kush

We show that for every homogeneous polynomial of degree $d$, if it has determinantal complexity at most $s$, then it can be computed by a homogeneous algebraic branching program (ABP) of size at most $O(d^5s)$. Moreover, we show that for…

Computational Complexity · Computer Science 2023-08-10 Abhranil Chatterjee , Mrinal Kumar , Ben Lee Volk

Proving super polynomial size lower bounds for various classes of arithmetic circuits computing explicit polynomials is a very important and challenging task in algebraic complexity theory. We study representation of polynomials as sums of…

Computational Complexity · Computer Science 2020-10-06 Purnata Ghosal , B. V. Raghavendra Rao

In this paper, we study the structure of set-multilinear arithmetic circuits and set-multilinear branching programs with the aim of showing lower bound results. We define some natural restrictions of these models for which we are able to…

Computational Complexity · Computer Science 2015-11-10 V. Arvind , S. Raja

We show that any Algebraic Branching Program (ABP) computing the polynomial $\sum_{i = 1}^n x_i^n$ has at least $\Omega(n^2)$ vertices. This improves upon the lower bound of $\Omega(n\log n)$, which follows from the classical result of Baur…

Computational Complexity · Computer Science 2020-03-19 Prerona Chatterjee , Mrinal Kumar , Adrian She , Ben Lee Volk

The complexity of representing a polynomial by a Read-Once Oblivious Algebraic Branching Program (ROABP) is highly dependent on the chosen variable ordering. Bhargava et al. prove that finding the optimal ordering is NP-hard, and provide…

Computational Complexity · Computer Science 2025-09-17 C. Ramya , Pratik Shastri

We investigate the closure properties of read-once oblivious Algebraic Branching Programs (roABPs) under various natural algebraic operations and prove the following. - Non-closure under factoring: There is a sequence of explicit…

Computational Complexity · Computer Science 2025-09-16 Jules Armand , Prateek Dwivedi , Magnus Rahbek Dalgaard Hansen , Nutan Limaye , Srikanth Srinivasan , Sébastien Tavenas

Nisan showed in 1991 that the width of a smallest noncommutative single-(source,sink) algebraic branching program (ABP) to compute a noncommutative polynomial is given by the ranks of specific matrices. This means that the set of…

Computational Complexity · Computer Science 2020-03-11 Markus Bläser , Christian Ikenmeyer , Meena Mahajan , Anurag Pandey , Nitin Saurabh

We give deterministic black-box polynomial identity testing algorithms for multilinear read-once oblivious algebraic branching programs (ROABPs), in n^(lg^2 n) time. Further, our algorithm is oblivious to the order of the variables. This is…

Computational Complexity · Computer Science 2013-09-24 Michael A. Forbes , Ramprasad Saptharishi , Amir Shpilka

Elementary symmetric polynomials $S_n^k$ are used as a benchmark for the bounded-depth arithmetic circuit model of computation. In this work we prove that $S_n^k$ modulo composite numbers $m=p_1p_2$ can be computed with much fewer…

Computational Complexity · Computer Science 2007-05-23 Vince Grolmusz

In this paper we improve the lower bound of Chatterjee et al.\ (ECCC 2019) to an $\Omega(n^2)$ lower bound for unlayered Algebraic Branching Programs. We also study the impact layerization has on Algebraic Branching Programs. We exhibit a…

Computational Complexity · Computer Science 2020-09-18 Christian Engels

In 1979 Valiant showed that the complexity class VP_e of families with polynomially bounded formula size is contained in the class VP_s of families that have algebraic branching programs (ABPs) of polynomially bounded size. Motivated by the…

Computational Complexity · Computer Science 2017-05-26 Karl Bringmann , Christian Ikenmeyer , Jeroen Zuiddam

We study the arithmetic circuit complexity of some well-known family of polynomials through the lens of parameterized complexity. Our main focus is on the construction of explicit algebraic branching programs (ABP) for determinant and…

Computational Complexity · Computer Science 2019-08-23 V. Arvind , Abhranil Chatterjee , Rajit Datta , Partha Mukhopadhyay

We study limitations of polynomials computed by depth two circuits built over read-once polynomials (ROPs) and depth three syntactically multi-linear formulas. We prove an exponential lower bound for the size of the $\Sigma\Pi^{[N^{1/30}]}$…

Computational Complexity · Computer Science 2015-12-14 C. Ramya , B. V. Raghavendra Rao

Arithmetic circuits are a natural well-studied model for computing multivariate polynomials over a field. In this paper, we study planar arithmetic circuits. These are circuits whose underlying graph is planar. In particular, we prove an…

Computational Complexity · Computer Science 2025-09-16 C. Ramya , Pratik Shastri

Valiant's conjecture asserts that the circuit complexity classes VP and VNP are distinct, meaning that the permanent does not admit polynomial-size algebraic circuits. As it is the case in many branches of complexity theory, the…

Computational Complexity · Computer Science 2026-01-15 Prateek Dwivedi , Benedikt Pago , Tim Seppelt

We introduce a method for proving lower bounds on the efficacy of semidefinite programming (SDP) relaxations for combinatorial problems. In particular, we show that the cut, TSP, and stable set polytopes on $n$-vertex graphs are not the…

Computational Complexity · Computer Science 2014-11-25 James R. Lee , Prasad Raghavendra , David Steurer
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