Deterministic Distributed algorithms and Descriptive Combinatorics on Δ-regular trees

04/20/2022
by   Sebastian Brandt, et al.
0

We study complexity classes of local problems on regular trees from the perspective of distributed local algorithms and descriptive combinatorics. We show that, surprisingly, some deterministic local complexity classes from the hierarchy of distributed computing exactly coincide with well studied classes of problems in descriptive combinatorics. Namely, we show that a local problem admits a continuous solution if and only if it admits a local algorithm with local complexity O(log^* n), and a Baire measurable solution if and only if it admits a local algorithm with local complexity O(log n).

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/03/2021

Local Problems on Trees from the Perspectives of Distributed Algorithms, Finitary Factors, and Descriptive Combinatorics

We study connections between distributed local algorithms, finitary fact...
research
02/17/2021

Probabilistic constructions in continuous combinatorics and a bridge to distributed algorithms

The probabilistic method is a technique for proving combinatorial existe...
research
02/18/2021

Locally Checkable Problems in Rooted Trees

Consider any locally checkable labeling problem Π in rooted regular tree...
research
02/17/2022

Efficient Classification of Local Problems in Regular Trees

We give practical, efficient algorithms that automatically determine the...
research
06/28/2019

The Complexity of Tiling Problems

In this document, we collected the most important complexity results of ...
research
08/05/2021

Sinkless orientation is hard also in the supported LOCAL model

We show that any algorithm that solves the sinkless orientation problem ...
research
11/29/2019

Classification of distributed binary labeling problems

We present a complete classification of the deterministic distributed ti...

Please sign up or login with your details

Forgot password? Click here to reset