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Sensitivity, block sensitivity and certificate complexity are basic complexity measures of Boolean functions. The famous sensitivity conjecture claims that sensitivity is polynomially related to block sensitivity. However, it has been…

Computational Complexity · Computer Science 2015-06-09 Andris Ambainis , Krišjānis Prūsis , Jevgēnijs Vihrovs

Determining the maximal separation between sensitivity and block sensitivity of Boolean functions is of interest for computational complexity theory. We construct a sequence of Boolean functions with bs(f) = 1/2 s(f)^2 + 1/2 s(f). The best…

Computational Complexity · Computer Science 2010-12-09 Madars Virza

Sensitivity, certificate complexity and block sensitivity are widely used Boolean function complexity measures. A longstanding open problem, proposed by Nisan and Szegedy, is whether sensitivity and block sensitivity are polynomially…

Computational Complexity · Computer Science 2015-03-27 Andris Ambainis , Krišjānis Prūsis

In this paper we study the separation between two complexity measures: the degree of a Boolean function as a polynomial over the reals and its block sensitivity. We show that separation between these two measures can be improved from $…

Computational Complexity · Computer Science 2021-06-22 Nikolay V. Proskurin

For a (possibly partial) Boolean function $f\colon\{0,1\}^n\to\{0,1\}$ as well as a query complexity measure $M$ which maps Boolean functions to real numbers, define the composition limit of $M$ on $f$ by $M^*(f)=\lim_{k\to\infty}…

Computational Complexity · Computer Science 2026-01-14 Bandar Al-Dhalaan , Shalev Ben-David

We show a partial Boolean function $f$ together with an input $x\in f^{-1}\left(*\right)$ such that both $C_{\bar{0}}\left(f,x\right)$ and $C_{\bar{1}}\left(f,x\right)$ are at least $C\left(f\right)^{2-o\left(1\right)}$. Due to recent…

Computational Complexity · Computer Science 2021-03-10 Kaspars Balodis

We investigate the relation between the block sensitivity $\text{bs}(f)$ and fractional block sensitivity $\text{fbs}(f)$ complexity measures of Boolean functions. While it is known that $\text{fbs}(f) = O(\text{bs}(f)^2)$, the best known…

Computational Complexity · Computer Science 2018-10-08 Andris Ambainis , Krišjānis Prūsis , Jevgēnijs Vihrovs

In this work we investigate into energy complexity, a Boolean function measure related to circuit complexity. Given a circuit $\mathcal{C}$ over the standard basis $\{\vee_2,\wedge_2,\neg\}$, the energy complexity of $\mathcal{C}$, denoted…

Computational Complexity · Computer Science 2019-04-29 Xiaoming Sun , Yuan Sun , Kewen Wu , Zhiyu Xia

Sensitivity \cite{CD82,CDR86} and block sensitivity \cite{Nisan91} are two important complexity measures of Boolean functions. A longstanding open problem in decision tree complexity, the "Sensitivity versus Block Sensitivity" question,…

Computational Complexity · Computer Science 2013-06-25 Andris Ambainis , Yihan Gao , Jieming Mao , Xiaoming Sun , Song Zuo

The increasing complexity of control systems necessitates control laws that guarantee safety w.r.t. complex combinations of constraints. In this letter, we propose a framework to describe compositional safety specifications with control…

Systems and Control · Electrical Eng. & Systems 2023-12-05 Tamas G. Molnar , Aaron D. Ames

Sensitivity conjecture is a longstanding and fundamental open problem in the area of complexity measures of Boolean functions and decision tree complexity. The conjecture postulates that the maximum sensitivity of a Boolean function is…

Computational Complexity · Computer Science 2014-11-14 Andris Ambainis , Mohammad Bavarian , Yihan Gao , Jieming Mao , Xiaoming Sun , Song Zuo

Let $f:\{0,1\}^n \rightarrow \{0,1\}$ be a Boolean function. The certificate complexity $C(f)$ is a complexity measure that is quadratically tight for the zero-error randomized query complexity $R_0(f)$: $C(f) \leq R_0(f) \leq C(f)^2$. In…

Computational Complexity · Computer Science 2017-08-03 Dmitry Gavinsky , Rahul Jain , Hartmut Klauck , Srijita Kundu , Troy Lee , Miklos Santha , Swagato Sanyal , Jevgenijs Vihrovs

$\newcommand{\EC}{\mathsf{EC}}\newcommand{\KW}{\mathsf{KW}}\newcommand{\DT}{\mathsf{DT}}\newcommand{\psens}{\mathsf{psens}} \newcommand{\calB}{{\cal B}} $ For a Boolean function $f:\{0,1\}^n \to \{0,1\}$ computed by a circuit $C$ over a…

Computational Complexity · Computer Science 2020-09-17 Krishnamoorthy Dinesh , Samir Otiv , Jayalal Sarma

The sensitivity conjecture which claims that the sensitivity complexity is polynomially related to block sensitivity complexity, is one of the most important and challenging problem in decision tree complexity theory. Despite of a lot of…

Computational Complexity · Computer Science 2016-09-15 Kun He , Qian Li , Xiaoming Sun

In this note we give a new separation between sensitivity and block sensitivity of Boolean functions: $bs(f)=(2/3)s(f)^2-(1/3)s(f)$.

Computational Complexity · Computer Science 2011-08-18 Andris Ambainis , Xiaoming Sun

For any Boolean function $f:\{0,1\}^n \to \{0,1\}$ with a complexity measure having value $k \ll n$, is it possible to restrict the function $f$ to $\Theta(k)$ variables while keeping the complexity preserved at $\Theta(k)$? This question,…

Computational Complexity · Computer Science 2026-05-22 Chandrima Kayal , Rajat Mittal , Sai Soumya Nalli , Manaswi Paraashar , Karthikeya Polisetty , Jayalal Sarma , Nitin Saurabh

Let $R_\epsilon(\cdot)$ stand for the bounded-error randomized query complexity with error $\epsilon > 0$. For any relation $f \subseteq \{0,1\}^n \times S$ and partial Boolean function $g \subseteq \{0,1\}^m \times \{0,1\}$, we show that…

Computational Complexity · Computer Science 2018-11-28 Dmitry Gavinsky , Troy Lee , Miklos Santha , Swagato Sanyal

The role of symmetry in Boolean functions $f:\{0,1\}^n \to \{0,1\}$ has been extensively studied in complexity theory. For example, symmetric functions, that is, functions that are invariant under the action of $S_n$, is an important class…

Computational Complexity · Computer Science 2025-10-01 Sourav Chakraborty , Chandrima Kayal , Manaswi Paraashar

Let $\R(\cdot)$ stand for the bounded-error randomized query complexity. We show that for any relation $f \subseteq \{0,1\}^n \times \mathcal{S}$ and partial Boolean function $g \subseteq \{0,1\}^n \times \{0,1\}$, $\R_{1/3}(f \circ g^n) =…

Computational Complexity · Computer Science 2018-01-11 Swagato Sanyal

In this work, we study the parity complexity measures ${\mathsf{C}^{\oplus}_{\min}}[f]$ and ${\mathsf{DT^{\oplus}}}[f]$. ${\mathsf{C}^{\oplus}_{\min}}[f]$ is the \emph{parity kill number} of $f$, the fewest number of parities on the input…

Computational Complexity · Computer Science 2013-12-10 Ryan O'Donnell , Xiaorui Sun , Li-Yang Tan , John Wright , Yu Zhao
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