scholarly journals Interval decomposition of infinite zigzag persistence modules

2017 ◽  
Vol 145 (8) ◽  
pp. 3571-3577 ◽  
Author(s):  
Magnus Bakke Botnan
2018 ◽  
Vol 18 (6) ◽  
pp. 3133-3204 ◽  
Author(s):  
Magnus Botnan ◽  
Michael Lesnick

2019 ◽  
Vol 3 (3) ◽  
pp. 185-219
Author(s):  
Alexander Elchesen ◽  
Facundo Mémoli

2015 ◽  
Vol 22 (1) ◽  
pp. 227-296 ◽  
Author(s):  
Leonid Polterovich ◽  
Egor Shelukhin

2017 ◽  
Vol 1 (1) ◽  
pp. 272-284 ◽  
Author(s):  
Peter Bubenik ◽  
Vin de Silva ◽  
Vidit Nanda
Keyword(s):  

Author(s):  
Frédéric Chazal ◽  
Vin de Silva ◽  
Marc Glisse ◽  
Steve Oudot
Keyword(s):  

2019 ◽  
Vol 19 (2) ◽  
pp. 657-700 ◽  
Author(s):  
Gunnar Carlsson ◽  
Vin de Silva ◽  
Sara Kališnik ◽  
Dmitriy Morozov
Keyword(s):  

2019 ◽  
Vol 20 (5) ◽  
pp. 1237-1271 ◽  
Author(s):  
Håvard Bakke Bjerkevik ◽  
Magnus Bakke Botnan ◽  
Michael Kerber

Abstract We show that computing the interleaving distance between two multi-graded persistence modules is NP-hard. More precisely, we show that deciding whether two modules are 1-interleaved is NP-complete, already for bigraded, interval decomposable modules. Our proof is based on previous work showing that a constrained matrix invertibility problem can be reduced to the interleaving distance computation of a special type of persistence modules. We show that this matrix invertibility problem is NP-complete. We also give a slight improvement in the above reduction, showing that also the approximation of the interleaving distance is NP-hard for any approximation factor smaller than 3. Additionally, we obtain corresponding hardness results for the case that the modules are indecomposable, and in the setting of one-sided stability. Furthermore, we show that checking for injections (resp. surjections) between persistence modules is NP-hard. In conjunction with earlier results from computational algebra this gives a complete characterization of the computational complexity of one-sided stability. Lastly, we show that it is in general NP-hard to approximate distances induced by noise systems within a factor of 2.


2017 ◽  
Vol 17 (4) ◽  
pp. 757-786 ◽  
Author(s):  
Leonid Polterovich ◽  
Egor Shelukhin ◽  
Vukašin Stojisavljević

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