Reproducing Kernel Hilbert Spaces Cannot Contain all Continuous Functions on a Compact Metric Space
arXiv:2002.03171v212 citations
AI Analysis
This addresses a foundational theoretical limitation in machine learning for researchers working with kernel methods and functional analysis.
The paper proves that for any uncountable compact metric space, no reproducing kernel Hilbert space can contain all continuous functions on that space, establishing a fundamental limitation in kernel methods.
Given an uncountable, compact metric space, we show that there exists no reproducing kernel Hilbert space that contains the space of all continuous functions on this compact space.