Identification via Functions

Fuente: arXiv
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Main Authors: Salariseddigh, Mohammad Javad, Fendri, Feriel
Format: Preprint
Published: 2024
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author Salariseddigh, Mohammad Javad
Fendri, Feriel
author_facet Salariseddigh, Mohammad Javad
Fendri, Feriel
contents We develop a framework for studying the problem of identifying roots of a noisy function. We revisit a previous logarithmic bound on the number of observations and propose a general problem for identification of roots with three errors. As a key finding, we establish a novel logarithmic lower bound on the number of observations which outperforms the previous result across certain regimes of error and accuracy of the identification test. Furthermore, we recover the previous results for root identification as a special case and draw a connection to the message identification problem of Ahlswede.
format Preprint
id arxiv_https___arxiv_org_abs_2408_12730
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Identification via Functions
Salariseddigh, Mohammad Javad
Fendri, Feriel
Information Theory
We develop a framework for studying the problem of identifying roots of a noisy function. We revisit a previous logarithmic bound on the number of observations and propose a general problem for identification of roots with three errors. As a key finding, we establish a novel logarithmic lower bound on the number of observations which outperforms the previous result across certain regimes of error and accuracy of the identification test. Furthermore, we recover the previous results for root identification as a special case and draw a connection to the message identification problem of Ahlswede.
title Identification via Functions
topic Information Theory
url https://arxiv.org/abs/2408.12730