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How robustly can you predict the future?

Published online by Cambridge University Press:  07 September 2022

Sean Cox*
Affiliation:
Department of Mathematics and Applied Mathematics, Virginia Commonwealth University, 1015 Floyd Avenue, Richmond, VA 23284, USA
Matthew Elpers
Affiliation:
NC State University SAS Hall 3201 Raleigh, NC, 27695 e-mail: melpers@ncsu.edu
*
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Abstract

Hardin and Taylor proved that any function on the reals—even a nowhere continuous one—can be correctly predicted, based solely on its past behavior, at almost every point in time. They showed that one could even arrange for the predictors to be robust with respect to simple time shifts, and asked whether they could be robust with respect to other, more complicated time distortions. This question was partially answered by Bajpai and Velleman, who provided upper and lower frontiers (in the subgroup lattice of $\mathrm{Homeo}^+(\mathbb {R})$) on how robust a predictor can possibly be. We improve both frontiers, some of which reduce ultimately to consequences of Hölder’s Theorem (that every Archimedean group is abelian).

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Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial reuse or in order to create a derivative work.
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Canadian Mathematical Society
Figure 0

Figure 1: $f(x) = \sin (1/x)$ with domain $(-\infty ,0)$, and $\varphi (x)=x+e^{x+5}$ is a particular member of $\mathrm{Homeo}^+(\mathbb {R})$. If $\varphi \in U \subseteq \mathrm{Homeo}^+(\mathbb {R})$ and $\mathcal {P}:{}^{\underset {\smile }{\mathbb {R}}} \mathbb {R} \to \mathbb {R}$ is a $U$-anonymous $\mathbb {R}$-predictor, then $\mathcal {P}(f)$ is required to be the same as $\mathcal {P}(f \circ \varphi )$.

Figure 1

Figure 2: The function $F_{A,\Delta ,\gamma }$.

Figure 2

Figure 3: The $F_n$ functions.