<--- Back to Details
First PageDocument Content
Mathematical analysis / Mathematics / Geometry / Metric geometry / Sobolev spaces / Inequalities / Function spaces / Measure theory / Sobolev inequality / Metric space / Lp space / Quasi-isometry
Date: 2010-10-28 18:34:34
Mathematical analysis
Mathematics
Geometry
Metric geometry
Sobolev spaces
Inequalities
Function spaces
Measure theory
Sobolev inequality
Metric space
Lp space
Quasi-isometry

Large scale Sobolev inequalities on metric measure spaces and applications. Romain Tessera October 29, 2010 Abstract For functions on a metric measure space, we introduce a notion of

Add to Reading List

Source URL: www.normalesup.org

Download Document from Source Website

File Size: 297,76 KB

Share Document on Facebook

Similar Documents

HEIGHTS ON PROJECTIVE SPACES AND DYNAMICAL SYSTEMS Height theory is among the fundamental tools frequently used in number theory. A height function measures the arithmetic complexity of a point. It translates thus a geom

HEIGHTS ON PROJECTIVE SPACES AND DYNAMICAL SYSTEMS Height theory is among the fundamental tools frequently used in number theory. A height function measures the arithmetic complexity of a point. It translates thus a geom

DocID: 1vdqu - View Document

Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control Yangchen Pan 1 2 Amir-massoud Farahmand 3 2 Martha White 1 Saleh Nabi 2 Piyush Grover 2 Daniel Nikovski 2

Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control Yangchen Pan 1 2 Amir-massoud Farahmand 3 2 Martha White 1 Saleh Nabi 2 Piyush Grover 2 Daniel Nikovski 2

DocID: 1uYik - View Document

Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control Yangchen Pan 1 2 Amir-massoud Farahmand 3 2 Martha White 1 Saleh Nabi 2 Piyush Grover 2 Daniel Nikovski 2

Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control Yangchen Pan 1 2 Amir-massoud Farahmand 3 2 Martha White 1 Saleh Nabi 2 Piyush Grover 2 Daniel Nikovski 2

DocID: 1ujg3 - View Document

COMPUTING THE NORM OF A MATRIX KEITH CONRAD 1. Norms on Vector Spaces Let V be a vector space over R. A norm on V is a function || · || : V → R satisfying three properties:

COMPUTING THE NORM OF A MATRIX KEITH CONRAD 1. Norms on Vector Spaces Let V be a vector space over R. A norm on V is a function || · || : V → R satisfying three properties:

DocID: 1u404 - View Document

EMBEDDING THEOREMS FOR SPACES OF R-PLACES OF RATIONAL FUNCTION FIELDS AND THEIR PRODUCTS KATARZYNA AND FRANZ-VIKTOR KUHLMANN Abstract. We study spaces M (R(y)) of R-places of rational function fields R(y) in one variable

EMBEDDING THEOREMS FOR SPACES OF R-PLACES OF RATIONAL FUNCTION FIELDS AND THEIR PRODUCTS KATARZYNA AND FRANZ-VIKTOR KUHLMANN Abstract. We study spaces M (R(y)) of R-places of rational function fields R(y) in one variable

DocID: 1t6r1 - View Document