Nonstandard techniques and nowhere differentiable functions I: A dense family of generalized blancmange functions
Tom McGaffey

TL;DR
This paper provides elementary nonstandard proofs demonstrating that generalized blancmange functions are nowhere differentiable and densely populate the space of continuous functions, with computational visualizations included.
Contribution
It introduces new nonstandard proof techniques for properties of generalized blancmange functions and explores their density among continuous functions.
Findings
Generalized blancmange functions are nowhere differentiable.
These functions are densely distributed among continuous functions.
Elementary nonstandard proofs simplify understanding of their properties.
Abstract
We will give an elementary nonstandard proof that the family of generalized blancmange functions are nowhere differentiable. The proof follows from the intuitive characterization of differentiability at a point as almost affine along with the transfer of the functional equations these functions satisfy. We also give elementary nonstandard proofs of the uniform density of these functions among continuous functions. Finally, we discuss work done with the Python programming language in displaying these functions.
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.
Taxonomy
TopicsMathematical and Theoretical Analysis · History and Theory of Mathematics
