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Related papers: A note on VNP-completeness and border complexity

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We provide a list of new natural $\mathsf{VNP}$-intermediate polynomial families, based on basic (combinatorial) $\mathsf{NP}$-complete problems that are complete under parsimonious reductions. Over finite fields, these families are in…

Computational Complexity · Computer Science 2016-03-16 Meena Mahajan , Nitin Saurabh

We study algebraic complexity classes and their complete polynomials under \emph{homogeneous linear} projections, not just under the usual affine linear projections that were originally introduced by Valiant in 1979. These reductions are…

Computational Complexity · Computer Science 2024-11-08 Pranjal Dutta , Fulvio Gesmundo , Christian Ikenmeyer , Gorav Jindal , Vladimir Lysikov

In this paper we explore the noncommutative analogues, $\mathrm{VP}_{nc}$ and $\mathrm{VNP}_{nc}$, of Valiant's algebraic complexity classes and show some striking connections to classical formal language theory. Our main results are the…

Computational Complexity · Computer Science 2015-08-04 V. Arvind , Pushkar S Joglekar , S. Raja

Valiant introduced some 25 years ago an algebraic model of computation along with the complexity classes VP and VNP, which can be viewed as analogues of the classical classes P and NP. They are defined using non-uniform sequences of…

Discrete Mathematics · Computer Science 2007-06-13 Laurent Lyaudet , Pascal Koiran , Uffe Flarup

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

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

One fundamental question in the context of the geometric complexity theory approach to the VP vs. VNP conjecture is whether VP = $\overline{\textrm{VP}}$, where VP is the class of families of polynomials that are of polynomial degree and…

Computational Complexity · Computer Science 2016-05-11 Joshua A. Grochow , Ketan D. Mulmuley , Youming Qiao

VBP is the class of polynomial families that can be computed by the determinant of a symbolic matrix of the form $A_0 + \sum_{i=1}^n A_ix_i$ where the size of each $A_i$ is polynomial in the number of variables (equivalently, computable by…

Computational Complexity · Computer Science 2023-05-18 Abhranil Chatterjee , Sumanta Ghosh , Rohit Gurjar , Roshan Raj

The concept of Vapnik-Chervonenkis (VC) density is pivotal across various mathematical fields, including discrete geometry, probability theory and model theory. In this paper, we introduce a topological generalization of VC-density. Let $Y$…

Logic · Mathematics 2025-06-04 Saugata Basu , Deepam Patel

We show that the two main reduction notions in arithmetic circuit complexity, p-projections and c-reductions, differ in power. We do so by showing unconditionally that there are polynomials that are VNP-complete under c-reductions but not…

Computational Complexity · Computer Science 2016-09-21 Christian Ikenmeyer , Stefan Mengel

Immanants are polynomial functions of n by n matrices attached to irreducible characters of the symmetric group S_n, or equivalently to Young diagrams of size n. Immanants include determinants and permanents as extreme cases. Valiant proved…

Computational Complexity · Computer Science 2007-05-23 Jean-Luc Brylinski , Ranee Brylinski

We study the computational complexity of sequences of projective varieties. We define analogues of the complexity classes P and NP for these and prove the NP-completeness of a sequence called the universal circuit resultant. This is the…

Algebraic Geometry · Mathematics 2016-09-12 M. Umut Isik

Border complexity captures functions that can be approximated by low-complexity ones. Debordering is the task of proving an upper bound on some non-border complexity measure in terms of a border complexity measure, thus getting rid of…

Computational Complexity · Computer Science 2025-10-16 Pranjal Dutta , Vladimir Lysikov

It is a well-known fact that the permanent polynomial is complete for the complexity class VNP, and it is largely suspected that the determinant does not share this property, despite its similar expression. We study the question of why the…

Computational Complexity · Computer Science 2025-07-18 Ian Orzel , Srikanth Srinivasan , Sébastien Tavenas , Amir Yehudayoff

In the present paper we show a dichotomy theorem for the complexity of polynomial evaluation. We associate to each graph H a polynomial that encodes all graphs of a fixed size homomorphic to H. We show that this family is computable by…

Computational Complexity · Computer Science 2012-10-30 Nicolas de Rugy-Altherre

Deciding whether a graph can be embedded in a grid using only unit-length edges is NP-complete, even when restricted to binary trees. However, it is not difficult to devise a number of graph classes for which the problem is polynomial, even…

Data Structures and Algorithms · Computer Science 2012-04-13 Vinícius G. P. de Sá , Guilherme D. da Fonseca , Raphael Machado , Celina M. H. de Figueiredo

We define a theory of parameterized algebraic complexity classes in analogy to parameterized Boolean counting classes. We define the classes VFPT and VW[t], which mirror the Boolean counting classes #FPT and #W[t], and define appropriate…

Computational Complexity · Computer Science 2019-11-25 Markus Blaeser , Christian Engels

Valiant's famous determinant versus permanent problem is the flagship problem in algebraic complexity theory. Mulmuley and Sohoni (Siam J Comput 2001, 2008) introduced geometric complexity theory, an approach to study this and related…

Computational Complexity · Computer Science 2017-07-27 Fulvio Gesmundo , Christian Ikenmeyer , Greta Panova

We present a self-contained separation framework for P vs NP developed entirely within ZFC. The approach consists of: (i) a deterministic, radius-1 compilation from uniform polynomial-time Turing computation to local sum-of-squares (SoS)…

Computational Complexity · Computer Science 2026-01-09 Darren J. Edwards

The hyperpfaffian polynomial was introduced by Barvinok in 1995 as a natural generalization of the well-known Pfaffian polynomial to higher order tensors. We prove that the hyperpfaffian is the unique smallest degree SL-invariant on the…

Computational Complexity · Computer Science 2020-02-26 Christian Ikenmeyer , Michael Walter
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