Young Measures on Topological Spaces: With Applications in Control Theory and Probability Theory (Mathematics and its Applications) - Valadier,Raynaud De Fitte,Castaing
Cheaper New Book
Imported
to South Africa
Delivery: 08 Dec - 17 Dec
Shipping: 14 to 18 business days.
R 978
Faster New Book
Imported
to South Africa
Delivery: 25 Nov - 01 Dec
Shipping: 5 to 6 business days.
R 1,257
R 978
R 1,257
Choose the list to add your product or create one New List
Young Measures on Topological Spaces: With Applications in Control Theory and Probability Theory (Mathematics and its Applications)
Valadier,Raynaud De Fitte,Castaing
Synopsis "Young Measures on Topological Spaces: With Applications in Control Theory and Probability Theory (Mathematics and its Applications) "
young measures are now a widely used tool in the calculus of variations, in control theory, in probability theory and other fields. they are known under different names such as relaxed controls, fuzzy random variables and many other names. this monograph provides a unified presentation of the theory, along with new results and applications in various fields. it can serve as a reference on the subject. young measures are presented in a general setting which includes finite and for the first time infinite dimensional spaces: the fields of applications of young measures (control theory, calculus of variations, probability theory...) are often concerned with problems in infinite dimensional settings. the theory of young measures is now well understood in a finite dimensional setting, but open problems remain in the infinite dimensional case. we provide several new results in the general frame, which are new even in the finite dimensional setting, such as characterizations of convergence in measure of young measures (chapter 3) and compactness criteria (chapter 4).these results are established under a different form (and with fewer details and developments) in recent papers by the same authors. we also provide new applications to visintin and reshetnyak type theorems (chapters 6 and 8), existence of solutions to differential inclusions (chapter 7), dynamical programming (chapter 8) and the central limit theorem in locally convex spaces (chapter 9).