Probability Error Bounds for Approximation of Functions in Reproducing Kernel Hilbert Spaces. (3rd May 2021)
- Record Type:
- Journal Article
- Title:
- Probability Error Bounds for Approximation of Functions in Reproducing Kernel Hilbert Spaces. (3rd May 2021)
- Main Title:
- Probability Error Bounds for Approximation of Functions in Reproducing Kernel Hilbert Spaces
- Authors:
- Aydın, Ata Deniz
Gheondea, Aurelian - Other Names:
- Hassi Seppo Academic Editor.
- Abstract:
- Abstract : We find probability error bounds for approximations of functions f in a separable reproducing kernel Hilbert space H with reproducing kernel K on a base space X, firstly in terms of finite linear combinations of functions of type K x i and then in terms of the projection π x n on span K x i i = 1 n, for random sequences of points x = x i i in X . Given a probability measure P, letting P K be the measure defined by d P K x = K x, x d P x, x ∈ X, our approach is based on the nonexpansive operator L 2 X ; P K ∋ λ ↦ L P, K λ ≔ ∫ X λ x K x d P x ∈ H, where the integral exists in the Bochner sense. Using this operator, we then define a new reproducing kernel Hilbert space, denoted by H P, that is the operator range of L P, K . Our main result establishes bounds, in terms of the operator L P, K, on the probability that the Hilbert space distance between an arbitrary function f in H and linear combinations of functions of type K x i, for x i i sampled independently from P, falls below a given threshold. For sequences of points x i i = 1 ∞ constituting a so-called uniqueness set, the orthogonal projections π x n to span K x i i = 1 n converge in the strong operator topology to the identity operator. We prove that, under the assumption that H P is dense in H, any sequence of points sampled independently from P yields a uniqueness set with probability 1. This result improves on previous error bounds in weaker norms, such as uniform or L p norms, which yield only convergenceAbstract : We find probability error bounds for approximations of functions f in a separable reproducing kernel Hilbert space H with reproducing kernel K on a base space X, firstly in terms of finite linear combinations of functions of type K x i and then in terms of the projection π x n on span K x i i = 1 n, for random sequences of points x = x i i in X . Given a probability measure P, letting P K be the measure defined by d P K x = K x, x d P x, x ∈ X, our approach is based on the nonexpansive operator L 2 X ; P K ∋ λ ↦ L P, K λ ≔ ∫ X λ x K x d P x ∈ H, where the integral exists in the Bochner sense. Using this operator, we then define a new reproducing kernel Hilbert space, denoted by H P, that is the operator range of L P, K . Our main result establishes bounds, in terms of the operator L P, K, on the probability that the Hilbert space distance between an arbitrary function f in H and linear combinations of functions of type K x i, for x i i sampled independently from P, falls below a given threshold. For sequences of points x i i = 1 ∞ constituting a so-called uniqueness set, the orthogonal projections π x n to span K x i i = 1 n converge in the strong operator topology to the identity operator. We prove that, under the assumption that H P is dense in H, any sequence of points sampled independently from P yields a uniqueness set with probability 1. This result improves on previous error bounds in weaker norms, such as uniform or L p norms, which yield only convergence in probability and not almost certain convergence. Two examples that show the applicability of this result to a uniform distribution on a compact interval and to the Hardy space H 2 D are presented as well. … (more)
- Is Part Of:
- Journal of function spaces. Volume 2021(2021)
- Journal:
- Journal of function spaces
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-05-03
- Subjects:
- Function spaces -- Periodicals
515.7305 - Journal URLs:
- https://www.hindawi.com/journals/jfs/ ↗
- DOI:
- 10.1155/2021/6617774 ↗
- Languages:
- English
- ISSNs:
- 2314-8896
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 16836.xml