Lectures on convex geometry
Hug, Daniel
Lectures on convex geometry - Switzerland : Springer Nature, 2020. - xviii, 287p. - Graduate texts in mathematics, 286. 0072-5285; .
Includes bibliographical references and index.
This book provides a self-contained introduction to convex geometry in Euclidean space. After covering the basic concepts and results, it develops Brunn–Minkowski theory, with an exposition of mixed volumes, the Brunn–Minkowski inequality, and some of its consequences, including the isoperimetric inequality. Further central topics are then treated, such as surface area measures, projection functions, zonoids, and geometric valuations. Finally, an introduction to integral-geometric formulas in Euclidean space is provided. The numerous exercises and the supplementary material at the end of each section form an essential part of the book.
Convexity is an elementary and natural concept. It plays a key role in many mathematical fields, including functional analysis, optimization, probability theory, and stochastic geometry.
Paving the way to the more advanced and specialized literature, the material will be accessible to students in the third year and can be covered in one semester.
9783030501792
Convex geometry.
Algebraic geometry
Convex and Discrete Geometry.
Discrete geometry.
Functional analysis & transforms.
Geometry
Integral calculus & equations.
Brunn-Minkowski theory
Integral geometry
Measure theory.
514.17 / HUG-L
Lectures on convex geometry - Switzerland : Springer Nature, 2020. - xviii, 287p. - Graduate texts in mathematics, 286. 0072-5285; .
Includes bibliographical references and index.
This book provides a self-contained introduction to convex geometry in Euclidean space. After covering the basic concepts and results, it develops Brunn–Minkowski theory, with an exposition of mixed volumes, the Brunn–Minkowski inequality, and some of its consequences, including the isoperimetric inequality. Further central topics are then treated, such as surface area measures, projection functions, zonoids, and geometric valuations. Finally, an introduction to integral-geometric formulas in Euclidean space is provided. The numerous exercises and the supplementary material at the end of each section form an essential part of the book.
Convexity is an elementary and natural concept. It plays a key role in many mathematical fields, including functional analysis, optimization, probability theory, and stochastic geometry.
Paving the way to the more advanced and specialized literature, the material will be accessible to students in the third year and can be covered in one semester.
9783030501792
Convex geometry.
Algebraic geometry
Convex and Discrete Geometry.
Discrete geometry.
Functional analysis & transforms.
Geometry
Integral calculus & equations.
Brunn-Minkowski theory
Integral geometry
Measure theory.
514.17 / HUG-L
