2020
DOI: 10.1515/forum-2019-0091
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Smoothness filtration of the magnitude complex

Abstract: We introduce an intrinsic filtration to the magnitude chain complex of a metric space, and study basic properties of the associated spectral sequence of the magnitude homology. As an application, the third magnitude homology of the circle is computed.

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Cited by 5 publications
(2 citation statements)
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“…The existence of a 4-cut is a source of the computational complexity in determining the magnitude homology groups. Indeed, Gomi [9] proved that the nonexistence of 4-cuts is equivalent to the E 2 -degeneration of the spectral sequence converging to MH ℓ * (X). If 0 < ℓ < m X , Kaneta and the second author gave a decomposition of the magnitude homology into framed ones.…”
Section: Frame Decompositionmentioning
confidence: 99%
“…The existence of a 4-cut is a source of the computational complexity in determining the magnitude homology groups. Indeed, Gomi [9] proved that the nonexistence of 4-cuts is equivalent to the E 2 -degeneration of the spectral sequence converging to MH ℓ * (X). If 0 < ℓ < m X , Kaneta and the second author gave a decomposition of the magnitude homology into framed ones.…”
Section: Frame Decompositionmentioning
confidence: 99%
“…As a categorification of the magnitude, Hepworth and Willerton defined magnitude homology for graphs [6], and later Leinster and Shulman generalized to metric spaces (furthermore, for enriched categories) [10]. Several techniques to compute the magnitude homology groups have been developed [6,3,7,4].…”
Section: Introductionmentioning
confidence: 99%