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This is the second part, after [1], of the research devoted to analysis of 1-ports composed of similar conductors ("f-circuits") described by the characteristic i = f(v) of a polynomial type. This analysis is performed by means of the…

Other Computer Science · Computer Science 2010-04-29 Emanuel Gluskin

We primarily investigate the properties of characteristic polynomials of semimatroids. In particular, we provide a combinatorial interpretation of their coefficients, generalizing the Whitney's Broken Circuit Theorem. We also prove that the…

Combinatorics · Mathematics 2025-08-03 Houshan Fu

We extend the definitions of characters and partition functions to the case of conformal field theories which contain operators with logarithmic correlation functions. As an example we consider the theories with central charge c = c(p,1) =…

High Energy Physics - Theory · Physics 2009-10-28 Michael Flohr

In recent years, a very exciting and promising method for proving lower bounds for arithmetic circuits has been proposed. This method combines the method of {\it depth reduction} developed in the works of Agrawal-Vinay [AV08], Koiran…

Computational Complexity · Computer Science 2013-11-27 Mrinal Kumar , Shubhangi Saraf

Grokking has been actively explored to reveal the mystery of delayed generalization and identifying interpretable representations and algorithms inside the grokked models is a suggestive hint to understanding its mechanism. Grokking on…

Machine Learning · Computer Science 2024-12-31 Hiroki Furuta , Gouki Minegishi , Yusuke Iwasawa , Yutaka Matsuo

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…

Computational Complexity · Computer Science 2017-08-02 Suryajith Chillara , Mrinal Kumar , Ramprasad Saptharishi , V Vinay

One of the elegant achievements in the history of proof theory is the characterization of the provably total recursive functions of an arithmetical theory by its proof-theoretic ordinal as a way to measure the time complexity of the…

Logic · Mathematics 2024-11-27 Amirhossein Akbar Tabatabai

Probabilistic circuits (PCs) have emerged as a powerful framework to compactly represent probability distributions for efficient and exact probabilistic inference. It has been shown that PCs with a general directed acyclic graph (DAG)…

Artificial Intelligence · Computer Science 2024-10-28 Lang Yin , Han Zhao

This paper presents two types of results related to hyperarithmetic analysis. First, we introduce new variants of the dependent choice axiom, namely $\mathrm{unique}~\Pi^1_0(\mathrm{resp.}~\Sigma^1_1)\text{-}\mathsf{DC}_0$ and…

Logic · Mathematics 2024-11-26 Koki Hashimoto

We show that unbounded fan-in boolean formulas of depth $d+1$ and size $s$ have average sensitivity $O(\frac{1}{d}\log s)^d$. In particular, this gives a tight $2^{\Omega(d(n^{1/d}-1))}$ lower bound on the size of depth $d+1$ formulas…

Computational Complexity · Computer Science 2015-09-01 Benjamin Rossman

In 1982, Cameron and Liebler investigated certain "special sets of lines" in PG(3,q), and gave several equivalent characterizations. Due to their interesting geometric and algebraic properties, these "Cameron-Liebler line classes" got much…

Combinatorics · Mathematics 2025-10-02 Michael Kiermaier , Jonathan Mannaert , Alfred Wassermann

We make progress on some questions related to polynomial approximations of ${\rm AC}^0$. It is known, by works of Tarui (Theoret. Comput. Sci. 1993) and Beigel, Reingold, and Spielman (Proc. $6$th CCC, 1991), that any ${\rm AC}^0$ circuit…

Computational Complexity · Computer Science 2020-01-01 Prahladh Harsha , Srikanth Srinivasan

We develop a general mathematical framework to analyze scaling regimes and derive explicit analytic solutions for gradient flow (GF) in large learning problems. Our key innovation is a formal power series expansion of the loss evolution,…

Machine Learning · Computer Science 2026-02-05 Dmitry Yarotsky , Eugene Golikov , Yaroslav Gusev

Analog computing is attractive compared to digital computing due to its potential for achieving higher computational density and higher energy efficiency. However, unlike digital circuits, conventional analog computing circuits cannot be…

Hardware Architecture · Computer Science 2024-10-28 Pratik Kumar , Ankita Nandi , Shantanu Chakrabartty , Chetan Singh Thakur

Recent years have witnessed a renewed interest in Boolean function in explaining binary classifiers in the field of explainable AI (XAI). The standard approach of Boolean function is propositional logic. We present a modal language of a…

Logic in Computer Science · Computer Science 2023-07-11 Xinghan Liu , Emiliano Lorini

We present evidence that there exist quantum computations that can be carried out in constant depth, using 2-qubit gates, that cannot be simulated classically with high accuracy. We prove that if one can simulate these circuits classically…

Quantum Physics · Physics 2014-05-28 Barbara M. Terhal , David P. DiVincenzo

Flow analysis is a ubiquitous and much-studied component of compiler technology---and its variations abound. Amongst the most well known is Shivers' 0CFA; however, the best known algorithm for 0CFA requires time cubic in the size of the…

Programming Languages · Computer Science 2013-11-25 David Van Horn , Harry G. Mairson

Reversible circuits for modular multiplication $Cx$%$M$ with $x<M$ arise as components of modular exponentiation in Shor's quantum number-factoring algorithm. However, existing generic constructions focus on asymptotic gate count and…

Emerging Technologies · Computer Science 2015-04-06 Igor L. Markov , Mehdi Saeedi

We prove that every randomized Boolean function admits a supersimulator: a randomized polynomial-size circuit whose output on random inputs cannot be efficiently distinguished from reality with constant advantage, even by polynomially…

Computational Complexity · Computer Science 2026-04-08 Cynthia Dwork , Pranay Tankala

In a recent paper a class of infinite Jacobi matrices with discrete character of spectra has been introduced. With each Jacobi matrix from this class an analytic function is associated, called the characteristic function, whose zero set…

Spectral Theory · Mathematics 2015-10-07 F. Stampach , P. Stovicek