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Tavenas has recently proved that any n^{O(1)}-variate and degree n polynomial in VP can be computed by a depth-4 circuit of size 2^{O(\sqrt{n}\log n)}. So to prove VP not equal to VNP, it is sufficient to show that an explicit polynomial in…

计算复杂性 · 计算机科学 2013-11-18 Suryajith Chillara , Partha Mukhopadhyay

We show that any $n$-variate polynomial computable by a syntactically multilinear circuit of size $\operatorname{poly}(n)$ can be computed by a depth-$4$ syntactically multilinear ($\Sigma\Pi\Sigma\Pi$) circuit of size at most…

计算复杂性 · 计算机科学 2019-02-20 Mrinal Kumar , Rafael Oliveira , Ramprasad Saptharishi

We prove exponential lower bounds on the size of homogeneous depth 4 arithmetic circuits computing an explicit polynomial in $VP$. Our results hold for the {\it Iterated Matrix Multiplication} polynomial - in particular we show that any…

计算复杂性 · 计算机科学 2014-04-09 Mrinal Kumar , Shubhangi Saraf

Koiran showed that if a $n$-variate polynomial of degree $d$ (with $d=n^{O(1)}$) is computed by a circuit of size $s$, then it is also computed by a homogeneous circuit of depth four and of size $2^{O(\sqrt{d}\log(d)\log(s))}$. Using this…

计算复杂性 · 计算机科学 2014-05-19 Sébastien Tavenas

The best known size lower bounds against unrestricted circuits have remained around $3n$ for several decades. Moreover, the only known technique for proving lower bounds in this model, gate elimination, is inherently limited to proving…

计算复杂性 · 计算机科学 2020-12-09 Alexander Golovnev , Alexander S. Kulikov , R. Ryan Williams

Recently, Forbes, Kumar and Saptharishi [CCC, 2016] proved that there exists an explicit $d^{O(1)}$-variate and degree $d$ polynomial $P_{d}\in VNP$ such that if any depth four circuit $C$ of bounded formal degree $d$ which computes a…

计算复杂性 · 计算机科学 2021-07-22 Suryajith Chillara

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 $\Sigma\Pi^{[N^{1/30}]}$…

计算复杂性 · 计算机科学 2015-12-14 C. Ramya , B. V. Raghavendra Rao

Kayal, Saha and Tavenas [Theory of Computing, 2018] showed that for all large enough integers $n$ and $d$ such that $d\geq \omega(\log{n})$, any syntactic depth four circuit of bounded individual degree $\delta = o(d)$ that computes the…

计算复杂性 · 计算机科学 2021-07-21 Suryajith Chillara

Assuming the Generalised Riemann Hypothesis (GRH), we show that for all k, there exist polynomials with coefficients in $\MA$ having no arithmetic circuits of size O(n^k) over the complex field (allowing any complex constant). We also build…

计算复杂性 · 计算机科学 2013-04-23 Hervé Fournier , Sylvain Perifel , Rémi de Verclos

We introduce the polynomial coefficient matrix and identify maximum rank of this matrix under variable substitution as a complexity measure for multivariate polynomials. We use our techniques to prove super-polynomial lower bounds against…

计算复杂性 · 计算机科学 2013-02-15 Mrinal Kumar , Gaurav Maheshwari , Jayalal Sarma M. N

In a sequence of seminal results in the 80's, Kaltofen showed that the complexity class VP is closed under taking factors. A natural question in this context is to understand if other natural classes of multivariate polynomials, for…

计算复杂性 · 计算机科学 2018-03-19 Chi-Ning Chou , Mrinal Kumar , Noam Solomon

In their paper on the "chasm at depth four", Agrawal and Vinay have shown that polynomials in m variables of degree O(m) which admit arithmetic circuits of size 2^o(m) also admit arithmetic circuits of depth four and size 2^o(m). This…

计算复杂性 · 计算机科学 2012-03-26 Pascal Koiran

Agrawal and Vinay [AV08] showed how any polynomial size arithmetic circuit can be thought of as a depth four arithmetic circuit of subexponential size. The resulting circuit size in this simulation was more carefully analyzed by Korian…

计算复杂性 · 计算机科学 2017-08-02 Suryajith Chillara , Mrinal Kumar , Ramprasad Saptharishi , V Vinay

We prove a lower bound of $\Omega\left(n^{1.5}\right)$ for the number of product gates in non-commutative arithmetic circuits for an explicit $n$-variate degree-$n$ polynomial $f_{n}$ (over every field). We observe that this implies that…

计算复杂性 · 计算机科学 2026-04-27 Ran Raz

We say that a circuit $C$ over a field $F$ functionally computes an $n$-variate polynomial $P$ if for every $x \in \{0,1\}^n$ we have that $C(x) = P(x)$. This is in contrast to syntactically computing $P$, when $C \equiv P$ as formal…

计算复杂性 · 计算机科学 2016-05-16 Michael A. Forbes , Mrinal Kumar , Ramprasad Saptharishi

In recent years, there has been a flurry of activity towards proving lower bounds for homogeneous depth-4 arithmetic circuits, which has brought us very close to statements that are known to imply $\textsf{VP} \neq \textsf{VNP}$. It is open…

计算复杂性 · 计算机科学 2018-06-19 Mrinal Kumar , Shubhangi Saraf

We show that there is a defining equation of degree at most $\mathsf{poly}(n)$ for the (Zariski closure of the) set of the non-rigid matrices: that is, we show that for every large enough field $\mathbb{F}$, there is a non-zero…

计算复杂性 · 计算机科学 2020-11-06 Mrinal Kumar , Ben Lee Volk

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…

计算复杂性 · 计算机科学 2025-09-16 C. Ramya , Pratik Shastri

In this paper, we show exponential lower bounds for the class of homogeneous depth-$5$ circuits over all small finite fields. More formally, we show that there is an explicit family $\{P_d : d \in \mathbb{N}\}$ of polynomials in…

计算复杂性 · 计算机科学 2015-07-02 Mrinal Kumar , Ramprasad Saptharishi

In this paper, we prove superpolynomial lower bounds for the class of homogeneous depth 4 arithmetic circuits. We give an explicit polynomial in VNP of degree $n$ in $n^2$ variables such that any homogeneous depth 4 arithmetic circuit…

计算复杂性 · 计算机科学 2013-12-23 Mrinal Kumar , Shubhangi Saraf
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