Online Matroid Embeddings

Fuente: arXiv
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Hauptverfasser: Cristi, Andrés, Dütting, Paul, Kleinberg, Robert, Leme, Renato Paes, Patel, Neel
Format: Preprint
Veröffentlicht: 2024
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author Cristi, Andrés
Dütting, Paul
Kleinberg, Robert
Leme, Renato Paes
Patel, Neel
author_facet Cristi, Andrés
Dütting, Paul
Kleinberg, Robert
Leme, Renato Paes
Patel, Neel
contents We introduce the notion of an online matroid embedding, which is an algorithm for mapping an unknown matroid that is revealed in an online fashion to a larger-but-known matroid. We establish the existence of such an embedding for binary matroids, and use it to relate variants of the binary matroid secretary problem to each other, showing that seemingly simpler problems are in fact equivalent to seemingly harder ones (up to constant-factors). Specifically, we show this to be the case for the version of the matroid secretary problem in which the matroid is not known in advance, and where it is known in advance. We also show that the version with known matroid structure, is equivalent to the problem where weights are not fully adversarial but drawn from a known pairwise-independent distribution.
format Preprint
id arxiv_https___arxiv_org_abs_2407_10316
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Online Matroid Embeddings
Cristi, Andrés
Dütting, Paul
Kleinberg, Robert
Leme, Renato Paes
Patel, Neel
Data Structures and Algorithms
Computer Science and Game Theory
We introduce the notion of an online matroid embedding, which is an algorithm for mapping an unknown matroid that is revealed in an online fashion to a larger-but-known matroid. We establish the existence of such an embedding for binary matroids, and use it to relate variants of the binary matroid secretary problem to each other, showing that seemingly simpler problems are in fact equivalent to seemingly harder ones (up to constant-factors). Specifically, we show this to be the case for the version of the matroid secretary problem in which the matroid is not known in advance, and where it is known in advance. We also show that the version with known matroid structure, is equivalent to the problem where weights are not fully adversarial but drawn from a known pairwise-independent distribution.
title Online Matroid Embeddings
topic Data Structures and Algorithms
Computer Science and Game Theory
url https://arxiv.org/abs/2407.10316