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Geometry, analysis and convexity / David Alonso-Gutiérrez, Bernardo González Merino, Carlos Hugo Jimenez, Rafael Villa, editors

Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2026 English International Available online

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Format:
Book
Conference/Event
Contributor:
Alonso-Gutierrez, David, editor.
González Merino, Bernardo, editor.
Jiménez, Carlos Hugo, editor.
Villa Caro, Rafael, editor.
Conference Name:
International Conference 'Geometry, Analysis & Convexity' (2022 : Seville, Spain)
Series:
RSME Springer series ; v. 17.
RSME Springer series, 2509-8896 ; volume 17
Language:
English
Subjects (All):
Geometric analysis--Congresses.
Geometric analysis.
Convex geometry--Congresses.
Convex geometry.
Genre:
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Physical Description:
1 online resource (ix, 129 pages) : illustrations (some color)
Place of Publication:
Cham, Switzerland : Springer, [2026]
Summary:
These proceedings result from the International Conference 'Geometry, Analysis & Convexity' (OLE 2022) held from 20th to 24th June 2022 at the Instituto de Matemáticas de la Universidad de Sevilla (IMUS), Spain and they include some of the contributions presented at this conference. This book is addressed to any researcher interested in convex geometric analysis and asymptotic analysis as well as integral geometry and discrete geometry and their applications in convexity, and related topics. Convex geometric analysis was born from the increasing interaction between classical (convex) geometry and asymptotic (convex) analysis. During the last three decades, the study of the integral geometry of convex bodies has been fuelled by the introduction of methods, results and new points of view coming from other branches of mathematics such as probability, harmonic analysis, geometry of finite dimensional normed spaces, integral geometry and discrete geometry. These recent advances have revealed fruitful connections between geometric inequalities, transport theory and information theory. Asymptotic convex analysis is mainly concerned with geometric properties of convex bodies in finite dimensional normed spaces, focused when the dimension tends to infinity. The understanding of high dimensional phenomena becomes an important point since high dimensional problems are frequently encountered in mathematics and applied sciences. Concentration of measure phenomenon can be viewed as an isoperimetric problem, which lies at the heart of classical geometry and calculus of variation. Besides convex geometry, geometric analysis has been developed using techniques and deep theorems from integral geometry, where the notion of measure is generalized to the concept of the so-called valuation, and it has developed from a simple technique to a fundamental area, the theory of valuations. The underlying structure of the valuation space (invariant under translations) is intrinsically connected with affine or analytic isoperimetric inequalities, among others. It is addressed to researchers in this field
Contents:
An overview of complex ellipsoids / Jorge Luis Arocha, Javier Bracho, and Luis Montejano
A new excluding condition towards the Soprunov–Zvavitch conjecture on Bézout-type inequalities / Maud Szusterman
On the sausage catastrophe in 4 dimensions / Ji Hoon Chun
On some new discrete variations of the Brunn–Minkowski inequality / Eduardo Lucas
Constrained clustering, diagrams, coresets, and their applications / Peter Gritzmann
A Rogers–Brascamp–Lieb–Luttinger inequality in the space of matrices / Julián Haddad
Notes:
"These Proceedings correspond to the International Conference “Geometry, Analysis and Convexity” (OLE 2022) held from 20 to 24 June 2022 at the Instituto de Matemáticas de la Universidad de Sevilla (IMUS), Spain"--Page v
Includes bibliographical references and index
Online resource; title from PDF title page (Springer Nature Link, viewed April 28, 2026)
Other Format:
Print version: Geometry, analysis and convexity
ISBN:
9783032114341
3032114349
OCLC:
1584689643
Access Restriction:
Restricted for use by site license

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