Vol. 1200 of the LNM series deals with the geometrical structure of finite dimensional normed spaces. One of the main topics is the estimation of the dimensions of euclidean and l^n p spaces which nicely embed into diverse finite-dimensional normed spaces. An essential method here is the concentration of measure phenomenon which is closely related to large deviation inequalities in Probability on the one hand, and to isoperimetric inequalities in Geometry on the other. The book contains also an appendix, written by M. Gromov, which is an introduction to isoperimetric inequalities on riemannian manifolds. Only basic knowledge of Functional Analysis and Probability is expected of the reader. The book can be used (and was used by the authors) ...
We establish a structure theorem for minimizing sequences for the isoperimetric problem on noncompac...
Continuing the theme of the previous volume, these seminar notes reflect general trends in the study...
This book provides a self-contained introduction to convex geometry in Euclidean space. After coveri...
In this article we discuss results which stand between Geometry, Convex Geom-etry, and Functional An...
The authors present the theory of asymptotic geometric analysis, a field which lies on the border be...
Asymptotic geometry is the study of metric spaces from a large scale point of view, where the local ...
The problem of (1+)-embedding the `n∞-cube into finite dimensional normed spaces can be stated as fo...
We establish the validity of a quantitative isoperimetric inequality in higher codimension. To be pr...
We obtain new sharp isoperimetric inequalities on a Riemannian manifold equipped with a probability ...
We establish a quantitative isoperimetric inequality in higher codimension. In particular, we prove ...
As in the previous Seminar Notes, the current volume reflects general trends in the study of Geometr...
This collection of original papers related to the Israeli GAFA seminar (on Geometric Aspects of Func...
This article presents certain recent methodologies and some new results for the statistical analysis...
A systematic introduction to a general nonparametric theory of statistics on manifolds, with emphasi...
We establish a quantitative isoperimetric inequality in higher codimension. In particular, we prove ...
We establish a structure theorem for minimizing sequences for the isoperimetric problem on noncompac...
Continuing the theme of the previous volume, these seminar notes reflect general trends in the study...
This book provides a self-contained introduction to convex geometry in Euclidean space. After coveri...
In this article we discuss results which stand between Geometry, Convex Geom-etry, and Functional An...
The authors present the theory of asymptotic geometric analysis, a field which lies on the border be...
Asymptotic geometry is the study of metric spaces from a large scale point of view, where the local ...
The problem of (1+)-embedding the `n∞-cube into finite dimensional normed spaces can be stated as fo...
We establish the validity of a quantitative isoperimetric inequality in higher codimension. To be pr...
We obtain new sharp isoperimetric inequalities on a Riemannian manifold equipped with a probability ...
We establish a quantitative isoperimetric inequality in higher codimension. In particular, we prove ...
As in the previous Seminar Notes, the current volume reflects general trends in the study of Geometr...
This collection of original papers related to the Israeli GAFA seminar (on Geometric Aspects of Func...
This article presents certain recent methodologies and some new results for the statistical analysis...
A systematic introduction to a general nonparametric theory of statistics on manifolds, with emphasi...
We establish a quantitative isoperimetric inequality in higher codimension. In particular, we prove ...
We establish a structure theorem for minimizing sequences for the isoperimetric problem on noncompac...
Continuing the theme of the previous volume, these seminar notes reflect general trends in the study...
This book provides a self-contained introduction to convex geometry in Euclidean space. After coveri...