Tensor products, reproducing kernels, and power series
نویسندگان
چکیده
منابع مشابه
Tensor Products , Reproducing Kernels , and Power Series
Let 9 be a connected complex domain and let G be a group of holomorphic transformations of 9. Let Hi (i = 1,2) be reproducing kernel Hilbert spaces of holomorphic functions from 9 to finite dimensional complex vector spaces Vi such that each Hi carries a unitary representation Vi of G. Then U1 @ Us is unitary in a reproducing kernel Hilbert space of holomorphic functions from 5-3 X 9 to Vi @ V,...
متن کاملDuality by Reproducing Kernels
LetA be a determined or overdetermined elliptic differential operator on a smooth compact manifold X. Write A( ) for the space of solutions of the system Au= 0 in a domain X. Using reproducing kernels related to various Hilbert structures on subspaces of A( ), we show explicit identifications of the dual spaces. To prove the regularity of reproducing kernels up to the boundary of , we specify t...
متن کاملReproducing Kernels and Riccati Equations
The purpose of this article is to present a brief exposition of the role of Riccati equations in the theory of reproducing kernel spaces. In particular, we shall exhibit a connection between positive semidefinite solutions of matrix Riccati equations and a class of finite dimensional reproducing kernel Hilbert spaces of rational vector valued functions, and an analogous (but more general) conne...
متن کاملRefinement of Reproducing Kernels
We continue our recent study on constructing a refinement kernel for a given kernel so that the reproducing kernel Hilbert space associated with the refinement kernel contains that with the original kernel as a subspace. To motivate this study, we first develop a refinement kernel method for learning, which gives an efficient algorithm for updating a learning predictor. Several characterization...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Functional Analysis
سال: 1979
ISSN: 0022-1236
DOI: 10.1016/0022-1236(79)90004-1