TY - GEN
T1 - Structure and stability of the 1-dimensional Mapper
AU - Carrière, Mathieu
AU - Oudot, Steve
N1 - Publisher Copyright:
© Mathieu Carrière and Steve Oudot;.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - Given a continuous function f : X → ℝ and a cover I of its image by intervals, the Mapper is the nerve of a refinement of the pullback cover f-1(I). Despite its success in applications, little is known about the structure and stability of this construction from a theoretical point of view. As a pixelized version of the Reeb graph of f, it is expected to capture a subset of its features (branches, holes), depending on how the interval cover is positioned with respect to the critical values of the function. Its stability should also depend on this positioning. We propose a theoretical framework relating the structure of the Mapper to that of the Reeb graph, making it possible to predict which features will be present and which will be absent in the Mapper given the function and the cover, and for each feature, to quantify its degree of (in-)stability. Using this framework, we can derive guarantees on the structure of the Mapper, on its stability, and on its convergence to the Reeb graph as the granularity of the cover I goes to zero.
AB - Given a continuous function f : X → ℝ and a cover I of its image by intervals, the Mapper is the nerve of a refinement of the pullback cover f-1(I). Despite its success in applications, little is known about the structure and stability of this construction from a theoretical point of view. As a pixelized version of the Reeb graph of f, it is expected to capture a subset of its features (branches, holes), depending on how the interval cover is positioned with respect to the critical values of the function. Its stability should also depend on this positioning. We propose a theoretical framework relating the structure of the Mapper to that of the Reeb graph, making it possible to predict which features will be present and which will be absent in the Mapper given the function and the cover, and for each feature, to quantify its degree of (in-)stability. Using this framework, we can derive guarantees on the structure of the Mapper, on its stability, and on its convergence to the Reeb graph as the granularity of the cover I goes to zero.
KW - Extended persistence
KW - Mapper
KW - Reeb graph
KW - Topological data analysis
UR - https://www.scopus.com/pages/publications/84976905129
U2 - 10.4230/LIPIcs.SoCG.2016.25
DO - 10.4230/LIPIcs.SoCG.2016.25
M3 - Conference contribution
AN - SCOPUS:84976905129
T3 - Leibniz International Proceedings in Informatics, LIPIcs
SP - 25.1-25.16
BT - 32nd International Symposium on Computational Geometry, SoCG 2016
A2 - Fekete, Sandor
A2 - Lubiw, Anna
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
T2 - 32nd International Symposium on Computational Geometry, SoCG 2016
Y2 - 14 June 2016 through 17 June 2016
ER -