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Effective Random Methods in Discrete Mathematics
The probabilistic method, pioneered by Paul Erdős, can show the existence of combinatorial objects without hinting how to construct them effectively. Recent developments concerning the constructive version of Lovász Local Lemma (L... The probabilistic method, pioneered by Paul Erdős, can show the existence of combinatorial objects without hinting how to construct them effectively. Recent developments concerning the constructive version of Lovász Local Lemma (LLL) showed how to modify the probabilistic method to make it effective. This proposal lists four research directions in analysis, combinatorics, and cryptography, where this method opened new possibilities to go beyond our present knowledge.1. The measurable version of LLL is the question whether the object, guaranteed by LLL, can additionally be measurable? In some special cases the answer is in the affirmative. What are the constraints which guarantee measurability, and when is it impossible to achieve this? Results are relevant for classical problems of measure group theory.2. A novel approach improving the celebrated sunflower lemma also uses effective probabilistic tools. We will use a similar approach to improve the best estimates for multicolor Ramsey numbers, Schur numbers, and to explore a number of other classical problems.3. Several new phenomena arise in extremal graphs when either the vertices or the edges are linearly ordered. To investigate them we use methods from effective probabilistic sampling. The answers would be relevant in discrete geometry, algorithm design, etc.4. An emerging phenomenon in certain cryptographic primitives including secret sharing will be addressed: relaxing the strict requirements of correctness by allowing negligible errors can lead to significant improvement in efficiency. It is a direct consequence of the mostly unknown structure of the boundary of the entropy region. Using tools and results from the other parts of the project we will explore this boundary giving hints for why, and tools for where and when such efficiency gaps might occur. ver más
31/12/2027
2M€
Duración del proyecto: 59 meses Fecha Inicio: 2023-01-01
Fecha Fin: 2027-12-31

Línea de financiación: concedida

El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-01-01
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
ERC-2021-ADG: ERC ADVANCED GRANTS
Cerrada hace 3 años
Presupuesto El presupuesto total del proyecto asciende a 2M€
Líder del proyecto
HUNREN RENYI ALFRED MATEMATIKAI KUTATOINTEZET No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5