6 edition of **Integral Geometry And Convexity** found in the catalog.

- 1 Want to read
- 12 Currently reading

Published
**April 20, 2006** by World Scientific Publishing Company .

Written in English

- Physics,
- Geometry - Analytic,
- Mathematics,
- Science/Mathematics,
- Geometry - General,
- Congresses,
- Convex domains,
- Integral geometry

**Edition Notes**

Contributions | Eric L. Grinberg (Editor), Shougui Li (Editor), Gaoyong Zhang (Editor), Jiazu Zhou (Editor) |

The Physical Object | |
---|---|

Format | Hardcover |

Number of Pages | 236 |

ID Numbers | |

Open Library | OL9197357M |

ISBN 10 | 9812565132 |

ISBN 10 | 9789812565136 |

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Buy Integral Geometry and Convexity - Proceedings of the International Conference on FREE SHIPPING on qualified orders Integral Geometry and Convexity - Proceedings of the International Conference: Grinberg, Eric L, Zhang, Gaoyong, Zhou, Jiazu, Li, Shougui: : BooksFormat: Hardcover.

Integral geometry, known as geometric probability in the past, originated from Buffon's needle experiment. Remarkable advances have been made in several areas that involve the theory of convex bodies. The book is a systematic exposition of the theory and a compilation of the main results in the field.

The volume can be used to complement courses on differential geometry, Lie groups or probability or differential geometry.

It is ideal both as a Cited by: This original viewpoint not only enlightens the classical integral geometry of euclidean space, but it also allows the computation of kinematic formulas in other geometries, such as hermitian spaces.

The book will appeal to graduate students and interested researchers from related fields including convex, stochastic, and differential geometry. Valuations are finitely additive functionals on the space of convex bodies. Their study has become a central subject in convexity theory, with fundamental applications to integral geometry.

In the last years there has been significant progress in the theory of valuations, which in turn has led to important achievements in integral geometry. Read or Download Integral Geometry And Convexity: Proceedings of the International Conference, Wuhan, China, 18 - 23 October PDF.

Similar geometry & topology books/5(37). of algebraic integral geometry, this module constitutes an essential piece of the array of kinematic formulas in any Riemannian isotropic space.

As an illustration of this principle we compute in full detail an important map arising in hermitian integral geometry.

This represents joint work with Thomas Size: 1MB. CONVEX FUNCTIONS the effective domain of the function f: Rn → (−∞,∞]. For a convex function f, the effective domain domf is convex. (4) The function f ≡ ∞ is convex, it is called the improper convex function; convex functions f with f 6≡ ∞are called proper.

The improper convex function f ≡ ∞ has epif = ∅ and domf = ∅.File Size: KB. Integral Geometry, known in applied circles as Geometric Probability, is somewhat of a mathematical antique (and therefore it is a favorite of mine!) From it developed many modern topics: geometric measure theory, stereometry, tomography, characteristic classes 1 Integral geometry examples: Buﬀon’s needle Size: KB.

The conference "Convex and Integral Geometry" will take place at the Goethe University Frankfurt from Integral Geometry And Convexity book 25 - 29, List of main speakers. Semyon Alesker (Tel Aviv University): Theory of valuations and Monge-Ampere operators; Bo Berndtsson (Göteborgs Universitet): Symmetrization of plurisubharmonic and convex functions.

Containment measure is the kinematic measure of a random convex body contained in a fixed convex body. Integral Geometry And Convexity book This paper surveys results of containment measures related to integral formulas, isoperimetric inequalities, and geometric probability.

This strand of integral geometry goes back to the work of P. Funk [4] inwho showed that a continuous even function on the two-sphere can be recovered from its integrals over great circles, as well as that of J.

Radon inwho obtained an explicit formula recovering a compactly supported C 8 function on R3 from its plane integrals. Integral geometry originated with problems on geometrical probability and convex bodies. Its later developments, however, have proved to be useful in several fields ranging from pure mathematics (measure theory, continuous groups) to technical and applied disciplines (pattern recognition, stereology).

The standard reference in the field, now available in the Cambridge Mathematical Library. Developments in integral geometry have proved to be useful in several fields ranging from pure mathematics to technical and applied disciplines.

This book is a systematic exposition of the theory and a compilation of the main results in the field.4/5(1). The book is a systematic exposition of the theory and a compilation of the main results in the field. The volume can be used to complement courses on differential geometry, Lie groups, or probability or differential geometry.

It is ideal both as a reference and for those wishing to enter the field. Integral geometry originated with problems on geometrical probability and convex bodies.

Its later developments have proved to be useful in several fields ranging from pure mathematics (measure theory, continuous groups) to technical and 5/5(1). Remarkable advances have been made in several areas that involve the theory of convex bodies. This volume brings together contributions by leading international researchers in integral geometry, convex geometry, complex geometry, probability, statistics, and other convexity related branches.

This chapter discusses integral geometry. Integral geometry is concerned with the study, computation, and application of invariant measures on sets of geometric objects.

It has its roots in some questions on geometric probabilities. Integral geometry is closely connected to the geometry of convex bodies. This survey is devoted to papers in the area of integral geometry published during the last ten years.

“Theory of integral invariants and integral geometry,” Proc. Third Ail-Union Math. Congress, Vol. I [in Russian], Akad. “On the set of directions of linear segments on a convex surface,” in: Convexity, Amer.

Math. Soc. ( It develops, in a measure-theoretic setting, the integral geometry for the motion and the translation group, as needed for the investigation of these models under the usual invariance assumptions. A characteristic of the book is the interplay between stochastic and geometric arguments, leading to various major results.

Integral geometry, known as geometric probability in the past, originated from Buffon's needle experiment. Remarkable advances have been made in several areas that involve the theory of convex bodies. This volume brings together contributions by l.

But integral geometry provides shockingly easy answers to all three questions—without doing any integrals. Of course, it’s not just about these specific questions.

For a start, the cubes X and ˆX and the ball Y could be replaced by any compact convex sets. where is the required integral invariant, is a point of the space (having dimension), are the coefficients of the infinitesimal transformation of the group, and is the number of parameters of the transformation.

Of great significance in integral geometry are measurable Lie groups, that is, groups that admit one and only one invariant (up to a constant factor). Abstract. We give in explicit form the principal kinematic formula for the action of the affine unitary group on $\mathbb{C}^n$, together with a straightforward algebraic method for computing the full array of unitary kinematic formulas, expressed in terms of certain convex valuations introduced, essentially, by H.

by: This original viewpoint not only enlightens the classical integral geometry of euclidean space, but it also allows the computation of kinematic formulas in other geometries, such as hermitian spaces.

The book will appeal to graduate students and interested researchers from related fields including convex, stochastic, and differential geometry. Many questions of integral geometry are reduced to the estimation of a measure of linear spaces crossing a convex set. Finding such a measure we obtain probabilistic estimations.

Convex geometry. In mathematics, convex geometry is the branch of geometry studying convex sets, mainly in Euclidean space.

Convex sets occur naturally in many areas: computational geometry, convex analysis, discrete geometry, functional analysis, geometry of numbers, integral geometry, linear programming, probability theory, game theory, etc.

The book is written by an expert, who has made fundamental contributions to the area." Integral Geometry and Radon Transforms; Symmetry from sectional integrals for convex Author: Sigurdur Helgason.

A Course on Convex Geometry Daniel Hug, Wolfgang Weil University of Karlsruhe revised version / February 5, 2. we will shortly discuss selected basic formulas from integral geometry. If time permits we will discuss symmetrization of convex sets and functions in an additional Size: KB. Geared toward advanced undergraduates familiar with analysis and college geometry, this concise book discusses theorems on topics restricted to the plane such as convexity, coverings, and graphs.

In addition to helping students cultivate rigorous thought, the text encourages the development of mathematical intuition and clarifies the nature of. Intended for advanced undergraduates familiar with analysis and college geometry, this concise book discusses theorems on topics restricted to the plane such as convexity, coverings, and graphs.

Part one explores integral distances, simple paradoxes involving point sets, and other subjects. Part two features an extensive selection of short proofs.

edition. Publisher Summary. This chapter focuses on linear connections. Tangent spaces play a key role in differential geometry. The tangent space at a point, x, is the totality of all contravariant vectors, or differentials, associated with that means of an affine connection, the tangent spaces at any two points on a curve are related by an affine transformation, which will, in general.

Now available in the Cambridge Mathematical Library, the classic work from Luis Santali. Integral geometry originated with problems on geometrical probability and convex bodies.

Its later developments, however, have proved to be useful in several fields ranging from pure mathematics (measure theory, continuous groups) to technical and applied disciplines (pattern recognition. Ray's Differential and Integral Calculus.

Concavity and Convexity. CHAPTER XVI. Curvature Radius of Curvature Contact of Curves It is a good follow-on to the Geometry and Trigonometry book on this site. After that, the section on surveying contains great "story problems" about the topic, where the student can apply Trigonometry to real.

books dedicated to one or another aspect of the theory. The title of the book by L. H˜ormander, Notions of Convexity, is very suggestive for the present state of art.

In fact, nowadays the study of con-vex functions evolved into a larger theory about functions which are adapted to other geometries of the domain and/or obey other laws of. CONTENTS vii VI Convexity and Optimization 18 Convex Sets The Convex Hull and Convex Combinations The Convex Hull.

Get this from a library. Proceedings of the International Conference Integral Geometry and Convexity: Wuhan, China, October [Eric Grinberg;] -- Integral geometry, known as geometric probability in the past, originated from Buffon's needle experiment.

Remarkable advances have been made in several areas that involve the theory of convex. Integral geometry – measure theoretic approach and stochastic applications Rolf Schneider Preface Integral geometry, as it is understood here, deals with the computation and appFile Size: KB.

Get this from a library. Proceedings of the International Conference Integral Geometry and Convexity: Wuhan, China, October [Eric Grinberg;]. Stochastic and Integral Geometry provides the mathematically oriented reader with a rigorous and detailed introduction to the basic stationary models used in stochastic geometry - random sets, point processes, random mosaics - and to the integral geometry that is needed for their investigation.5/5(1).

This book collects accessible lectures on four geometrically flavored fields of mathematics that have experienced great development in recent years: hyperbolic geometry, dynamics in several complex variables, convex geometry, and volume estimation.

( views) Convex Geometric Analysis by Keith Ball, Vitali Milman - Cambridge University Press.This is a list of convexity topics, by Wikipedia page.

Alpha blending - the process of combining a translucent foreground color with a background color, thereby producing a new blended color. This is a convex combination of two colors allowing for transparency effects in computer graphics. Barycentric coordinates - a coordinate system in which the location of a point of a .The affine groups; The group of motions in En; Part III.

Integral Geometry in En: Convex sets in En; Linear subspaces, convex sets and compact manifolds; The kinematic density in En; Geometric and statistical applications: stereology; Part IV. Integral Geometry in Spaces of Constant Curvature: Noneuclidean integral.