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Rigorous cubical approximation and persistent homology of continuous functions. (English) Zbl 1409.41014
Summary: The interaction between discrete and continuous mathematics lies at the heart of many fundamental problems in applied mathematics and computational sciences. In this paper we discuss the problem of discretizing vector-valued functions defined on finite-dimensional Euclidean spaces in such a way that the discretization error is bounded by a pre-specified small constant. While the approximation scheme has a number of potential applications, we consider its usefulness in the context of computational homology. More precisely, we demonstrate that our approximation procedure can be used to rigorously compute the persistent homology of the original continuous function on a compact domain, up to small explicitly known and verified errors. In contrast to other work in this area, our approach requires minimal smoothness assumptions on the underlying function.
##### MSC:
 41A63 Multidimensional problems (should also be assigned at least one other classification number from Section 41-XX) 55N35 Other homology theories in algebraic topology
##### Software:
Dionysus; Perseus; Persistence Landscape; PHAT
Full Text:
##### References:
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