Linear Programs with Polynomial Coefficients and Applications to 1D Cellular Automata

Given a matrix A and vector b with polynomial entries in d real variables δ=(δ₁,…,δ subscript d) we consider the following notion of feasibility: the pair (A,b) is locally feasible if there exists an open neighborhood U of 0 such that for every δ∈U there exists x satisfying A(δ)x≥b(δ) entry-wise. Fo...

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Main Author: Guo, Chenghao
Other Authors: Bresler, Guy
Format: Thesis
Published: Massachusetts Institute of Technology 2022
Online Access:https://hdl.handle.net/1721.1/144875
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author Guo, Chenghao
author2 Bresler, Guy
author_facet Bresler, Guy
Guo, Chenghao
author_sort Guo, Chenghao
collection MIT
description Given a matrix A and vector b with polynomial entries in d real variables δ=(δ₁,…,δ subscript d) we consider the following notion of feasibility: the pair (A,b) is locally feasible if there exists an open neighborhood U of 0 such that for every δ∈U there exists x satisfying A(δ)x≥b(δ) entry-wise. For d=1 we construct a polynomial time algorithm for deciding local feasibility. For d≥2 we show local feasibility is NP-hard. As an application (which was the primary motivation for this work) we give a computer-assisted proof of ergodicity of the following elementary 1D cellular automaton: given the current state ηₜ∈{0,1}ℤ the next state ηₜ₊₁(n) at each vertex n∈ superscript ℤ is obtained by ηₜ₊₁(n)=NAND(BSCδ(ηₜ(n−1)),BSCδ(ηt(n))). Here the binary symmetric channel BSCδ takes a bit as input and flips it with probability δ (and leaves it unchanged with probability 1−δ). It is shown that there exists 𝛿₀ > 0 such that for all 0 < 𝛿 < 𝛿₀ the distribution of 𝜂ₜ converges to a unique stationary measure irrespective of the initial condition 𝜂₀. We also consider the problem of broadcasting information on the 2D-grid of noisy binary-symmetric channels BSCδ, where each node may apply an arbitrary processing function to its input bits. We prove that there exists δ′₀>0 such that for all noise levels 0<δ<δ′₀ it is impossible to broadcast information for any processing function, as conjectured in Makur, Mossel, Polyanskiy (ISIT 2021).
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spelling mit-1721.1/1448752022-08-30T03:44:50Z Linear Programs with Polynomial Coefficients and Applications to 1D Cellular Automata Guo, Chenghao Bresler, Guy Polyanskiy, Yury Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Given a matrix A and vector b with polynomial entries in d real variables δ=(δ₁,…,δ subscript d) we consider the following notion of feasibility: the pair (A,b) is locally feasible if there exists an open neighborhood U of 0 such that for every δ∈U there exists x satisfying A(δ)x≥b(δ) entry-wise. For d=1 we construct a polynomial time algorithm for deciding local feasibility. For d≥2 we show local feasibility is NP-hard. As an application (which was the primary motivation for this work) we give a computer-assisted proof of ergodicity of the following elementary 1D cellular automaton: given the current state ηₜ∈{0,1}ℤ the next state ηₜ₊₁(n) at each vertex n∈ superscript ℤ is obtained by ηₜ₊₁(n)=NAND(BSCδ(ηₜ(n−1)),BSCδ(ηt(n))). Here the binary symmetric channel BSCδ takes a bit as input and flips it with probability δ (and leaves it unchanged with probability 1−δ). It is shown that there exists 𝛿₀ > 0 such that for all 0 < 𝛿 < 𝛿₀ the distribution of 𝜂ₜ converges to a unique stationary measure irrespective of the initial condition 𝜂₀. We also consider the problem of broadcasting information on the 2D-grid of noisy binary-symmetric channels BSCδ, where each node may apply an arbitrary processing function to its input bits. We prove that there exists δ′₀>0 such that for all noise levels 0<δ<δ′₀ it is impossible to broadcast information for any processing function, as conjectured in Makur, Mossel, Polyanskiy (ISIT 2021). S.M. 2022-08-29T16:17:51Z 2022-08-29T16:17:51Z 2022-05 2022-06-21T19:25:58.408Z Thesis https://hdl.handle.net/1721.1/144875 0000-0002-4440-3229 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology
spellingShingle Guo, Chenghao
Linear Programs with Polynomial Coefficients and Applications to 1D Cellular Automata
title Linear Programs with Polynomial Coefficients and Applications to 1D Cellular Automata
title_full Linear Programs with Polynomial Coefficients and Applications to 1D Cellular Automata
title_fullStr Linear Programs with Polynomial Coefficients and Applications to 1D Cellular Automata
title_full_unstemmed Linear Programs with Polynomial Coefficients and Applications to 1D Cellular Automata
title_short Linear Programs with Polynomial Coefficients and Applications to 1D Cellular Automata
title_sort linear programs with polynomial coefficients and applications to 1d cellular automata
url https://hdl.handle.net/1721.1/144875
work_keys_str_mv AT guochenghao linearprogramswithpolynomialcoefficientsandapplicationsto1dcellularautomata