Equality of ultradifferentiable classes by means of indices of mixed O-regular variation
Javier Jim\'enez-Garrido, Javier Sanz, Gerhard Schindl

TL;DR
This paper introduces new growth indices based on O-regular variation to compare ultradifferentiable function classes defined by weight matrices and associated functions, extending existing comparison results.
Contribution
It develops a novel framework using mixed O-regular variation indices to characterize equality of ultradifferentiable classes from weight matrices and functions.
Findings
New growth indices extend O-regular variation to mixed settings
Characterization of class equality via these indices
Extension of comparison results between weight sequences and functions
Abstract
We characterize the equality between ultradifferentiable function classes defined in terms of abstractly given weight matrices and in terms of the corresponding matrix of associated weight functions by using new growth indices. These indices, defined by means of weight sequences and (associated) weight functions, are extending the notion of O-regular variation to a mixed setting. Hence we are extending the known comparison results concerning classes defined in terms of a single weight sequence and of a single weight function and give also these statements an interpretation expressed in O-regular variation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
