Classifying Functions via growth rates of repeated iterations
Abstract: In this paper we develop a classification of real functions based on growth rates of repeated iteration. We show how functions are naturally distinguishable when considering inverses of repeated iterations. For example, $n+2\to 2n\to 2n\to 2{\cdot{\cdot2}}$ ($n$-times) etc. and their inverse functions $x-2, x/2, \log x/\log 2,$ etc. Based on this idea and some regularity conditions we define classes of functions, with $x+2$, $2x$, $2x$ in the first three classes. We prove various properties of these classes which reveal their nature, including a uniqueness' property. We exhibit examples of functions lying between consecutive classes and indicate how this implies these gaps are verylarge'. Indeed, we suspect the existence of a continuum of such classes.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.