Broadcasting in random recursive dags

06/02/2023
by   Simon Briend, et al.
0

A uniform k-dag generalizes the uniform random recursive tree by picking k parents uniformly at random from the existing nodes. It starts with k ”roots”. Each of the k roots is assigned a bit. These bits are propagated by a noisy channel. The parents' bits are flipped with probability p, and a majority vote is taken. When all nodes have received their bits, the k-dag is shown without identifying the roots. The goal is to estimate the majority bit among the roots. We identify the threshold for p as a function of k below which the majority rule among all nodes yields an error c+o(1) with c<1/2. Above the threshold the majority rule errs with probability 1/2+o(1).

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/07/2019

Communication cost of consensus for nodes with limited memory

Motivated by applications in blockchains and sensor networks, we conside...
research
12/21/2018

Lipschitz bijections between boolean functions

We answer four questions from a recent paper of Rao and Shinkar on Lipsc...
research
05/24/2023

Inference in balanced community modulated recursive trees

We introduce a random recursive tree model with two communities, called ...
research
05/11/2018

Peres-Style Recursive Algorithms

Peres algorithm applies the famous von Neumann trick recursively to prod...
research
06/05/2018

Tree Path Majority Data Structures

We present the first solution to τ-majorities on tree paths. Given a tre...
research
02/05/2023

Level-p-complexity of Boolean functions using Thinning, Memoization, and Polynomials

This paper describes a purely functional library for computing level-p-c...
research
01/21/2018

The Optimal Majority Threshold as a Function of the Variation Coefficient of the Environment

Within the model of social dynamics determined by collective decisions i...

Please sign up or login with your details

Forgot password? Click here to reset