GNCVCOMar 2, 2019

Strong homotopy of digitally continuous functions

arXiv:1903.00706v15 citations
Originality Incremental advance
AI Analysis

This work addresses foundational issues in digital topology for researchers, providing a more robust homotopy concept, though it is incremental relative to existing digital homotopy theories.

The paper tackles the problem of defining a new homotopy relation for digitally continuous functions, called strong homotopy, and shows that it ensures induced homomorphisms in digital homology theory are always the same, unlike standard digital homotopy, with verification for digital cycles where n ≥ 4.

We introduce a new type of homotopy relation for digitally continuous functions which we call ``strong homotopy.'' Both digital homotopy and strong homotopy are natural digitizations of classical topological homotopy: the difference between them is analogous to the difference between digital 4-adjacency and 8-adjacency in the plane. We explore basic properties of strong homotopy, and give some equivalent characterizations. In particular we show that strong homotopy is related to ``punctuated homotopy,'' in which the function changes by only one point in each homotopy time step. We also show that strongly homotopic maps always have the same induced homomorphisms in the digital homology theory. This is not generally true for digitally homotopic maps, though we do show that it is true for any homotopic selfmaps on the digital cycle $C_n$ with $n\ge 4$. We also define and consider strong homotopy equivalence of digital images. Using some computer assistance, we produce a catalog of all small digital images up to strong homotopy equivalence. We also briefly consider pointed strong homotopy equivalence, and give an example of a pointed contractible image which is not pointed strongly contractible.

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