Over the past six decades, several extremely important fields in mathematics have been developed. Among these are Itô calculus, Gaussian measures on Banach spaces, Malliavan calculus, and white noise distribution theory. These subjects have many applications, ranging from finance and economics to physics and biology. Unfortunately, the background information required to conduct research in these subjects presents a tremendous roadblock. The background material primarily stems from an abstract subject known as infinite dimensional topological vector spaces. While this information forms the backdrop for these subjects, the books and papers written about topological vector spaces were never truly written for researchers studying infinite dimensional analysis. Thus, the literature for topological vector spaces is dense and difficult to digest, much of it being written prior to the 1960s. Tools for Infinite Dimensional Analysis aims to address these problems by providing an introduction to the background material for infinite dimensional analysis that is friendly in style and accessible to graduate students and researchers studying the above-mentioned subjects. It will save current and future researchers countless hours and promote research in these areas by removing an obstacle in the path to beginning study in areas of infinite dimensional analysis. Features Focused approach to the subject matter Suitable for graduate students as well as researchers Detailed proofs of primary results
This text was born out of an advanced mathematical economics seminar at Caltech in 1989-90.
Basic Analysis III: Mappings on Infinite Dimensional Spaces is intended as a first course in abstract linear analysis.
C. Stegall, The Radon–Nikodym property in conjugate spaces, Trans. Am. Math. Soc. 206 (1975), 213–223. C. Stegall, Optimization of functions on certain subsets of Banach spaces, Math. Ann. 236 (1978), 171–176. C. Stegall, A proof of the ...
Prompted by issues raised at the end of Part I, we introduce the theory of infinite dimensional Itˆo processes, and we develop the tools of infinite dimensional stochastic analysis (including Malliavin calculus) for the purpose of the ...
Quantum Probability and Related Topics is a series of volumes based on material discussed at the various QP conferences.
While the diversity of applications is vast, in this concluding chapter we have selected the following: Machine learning and choices of feature spaces, optimal sampling tools, infinite network models and their potential theory.
Starting with the simplest bifurcation problems arising for ordinary differential equations in one- and two-dimensions, this book describes several tools from the theory of infinite dimensional dynamical systems, allowing the reader to ...
Treats optimal problems for systems described by ODEs and PDEs, using an approach that unifies finite and infinite dimensional nonlinear programming.
This volume contains the current research in quantum probability, infinite dimensional analysis and related topics.
Alexander D. Ioffe. Regular points of Lipschitz functions. Trans. Amer. Math. Soc., 251:61–69, 1979. Alexander D. Ioffe. Variational methods in local and global non-smooth analysis. In F. H. Clarke and R. J. Stern, editors, ...