TOPOLOGY OF POINT CLOUD DATA

Size: px
Start display at page:

Download "TOPOLOGY OF POINT CLOUD DATA"

Transcription

1 TOPOLOGY OF POINT CLOUD DATA CS 468 Lecture 8 11/12/2 Afra Zomorodian CS 468 Lecture 8 - Page 1

2 PROJECTS Writeups: Introduction to Knot Theory (Giovanni De Santi) Mesh Processing with Morse Theory (Niloy Mitra) Presentations: November 27th: * Surface Flattening (Jie Gao) * Simplicial Sets (Patrick Perry) * Complexity of Knot Problems (Krishnaram Kenthapadi) December 4th * Discrete Morse Theory(?) (Yichi Gu) * Irreducible Triangulations (Jon McAlister) * Homotopy in the Plane (Rachel Kolodny) Afra Zomorodian CS 468 Lecture 8 - Page 2

3 OVERVIEW Points Complexes Cěch Rips Alpha Filtrations Persistence Afra Zomorodian CS 468 Lecture 8 - Page 3

4 POINTS m samples M = {m 1, m 2,..., m m } from a manifold M Samples are embedded, but intrinsic topology is lost Error: acquisition device noise and approximation Afra Zomorodian CS 468 Lecture 8 - Page 4

5 POINT CLOUD DATA (a) Surface (b) Molecule (c) Universe Afra Zomorodian CS 468 Lecture 8 - Page 5

6 ɛ-balls ɛ-ball: B ɛ (x) = {y d(x, y) < ɛ}. Open sets and topology Manifold is M = m i M B ɛ(m i ) Afra Zomorodian CS 468 Lecture 8 - Page 6

7 CĚCH COMPLEX C ɛ (M) = { conv T T M, m i T B ɛ(m i ) }. m k=0 ( m k ) = 2 m+1 1 C ɛ (M) M Afra Zomorodian CS 468 Lecture 8 - Page 7

8 RIPS COMPLEX R ɛ (M) = {conv T T M, d(m i, m j ) < ɛ, m i, m j T }. Still O (( m k )) for the kth skeleton Need (k + 1)st skeleton for computing H k Afra Zomorodian CS 468 Lecture 8 - Page 8

9 ALPHA COMPLEX V (m i ) = {x R 3 d(x, m i ) d(x, m j ) m j M} ˆV (m i ) = B ɛ (m i ) V (m i ) { A ɛ = conv T T M, ˆV } m i T (m i ) A ɛ (M) M, A ɛ D, the Delaunay complex O(n log n + n d/2 ) Afra Zomorodian CS 468 Lecture 8 - Page 9

10 ALPHA COMPLEX Extendible to points with weights van der Waals model of molecules Afra Zomorodian CS 468 Lecture 8 - Page 10

11 FILTRATIONS a b a b a b a b a b a b d c d c d c d c d c 0 a, b 1 c, d, ab, bc 2 cd, ad 3 ac 4 abc 5 acd Complexes C ɛ, R ɛ, A ɛ, compute homology! Which ɛ? Vary and get a filtration! A filtration of a complex K is = K 0 K 1... K m = K. Afra Zomorodian CS 468 Lecture 8 - Page 11

12 BUNNY 34,834 points, 1,026,111 complexes Afra Zomorodian CS 468 Lecture 8 - Page 12

13 GRAMICIDIN A 312 atoms, 8,591 complexes Afra Zomorodian CS 468 Lecture 8 - Page 13

14 APPROACH Input: point cloud Procedure: Put ɛ-balls around points Compute complex K ɛ Compute homology of complex Varying ɛ gives us a filtration Incremental algorithm gives homology of filtration (demo) Afra Zomorodian CS 468 Lecture 8 - Page 14

15 HOMOLOGY OF A FILTRATION K l is a filtration Z l k = Z k (K l ) and B l k = B k (K l ) are the kth cycle and boundary group of K l, respectively. The kth homology group of K l is H l k = Z l k/b l k. The kth Betti number β l k of Kl is the rank of H l k. Afra Zomorodian CS 468 Lecture 8 - Page 15

16 PROBLEM Space β { }. Filtration l Signature (Tunnels) Features Noise: spawned by noise, representation, etc. Afra Zomorodian CS 468 Lecture 8 - Page 16

17 PERSISTENCE K l be a filtration. The p-persistent kth homology group of K l is H l,p k = Z l k/(b l+p k Z l k), The p-persistent kth Betti number β l,p k Well-defined of Kl is the rank of H l,p k. η l,p k im η l,p k : Hl k H l+p k, Hl,p k. This lecture: Z 2 homology Afra Zomorodian CS 468 Lecture 8 - Page 17

18 LIFETIMES Let z be a non-bounding k-cycle, created when σ enters complex at time i That is, β k ++ at time i z creates a class of homologous cycles [z] [z] is merged with the boundary class at time j when τ enters (β k ) τ destroys z and the cycle class [z]. The persistence of z, and its homology class [z], is j i 1. σ is the creator (positive) and τ is the destroyer (negative) of [z]. If a cycle class does not have a destroyer, its persistence is. Afra Zomorodian CS 468 Lecture 8 - Page 18

19 LIFETIME REGIONS H l,p k = Zl k / (B l+p k Z l k) Basis element z + B k lives during [i, j) z B l k for l j Therefore, z B l+p k for l + p < j. p 0 l i Afra Zomorodian CS 468 Lecture 8 - Page 19

20 TRIANGLE l > i l+p < j p > 0 (i, 0) (j, 0) index (l) (i, j i) (i, 0) (j, 0) (i, j i) persistence (p) p 0 l i l < j Afra Zomorodian CS 468 Lecture 8 - Page 20

21 TRIANGLES [ [ [ [ ) [ [ ) [ ) [ ) [ ) ) ) ) [ index persistence Afra Zomorodian CS 468 Lecture 8 - Page 21

22 GRAPH OF log(β l,p 1 + 1) log 2 (β 1 l,p +1) p l Afra Zomorodian CS 468 Lecture 8 - Page 22

23 CMY COLOR SPACE Green Yellow (minus blue) (minus red) Cyan Black Red Blue Magenta (minus green) Afra Zomorodian CS 468 Lecture 8 - Page 23

24 TOPOLOGY MAPS Afra Zomorodian CS 468 Lecture 8 - Page 24

25 ALGORITHM a b a b a b a b a b a b d c d c d c d c d c 0 a, b 1 c, d, ab, bc 2 cd, ad 3 ac 4 abc 5 acd a b c d ab bc cd ad ac abc acd b a c b d c ad ac Compute k σ i Eliminate negative simplices in chain Look for youngest cycle creator and store Afra Zomorodian CS 468 Lecture 8 - Page 25

26 DISCUSSION We can compute: Cycles (components, cycles, voids) Bounding manifolds (Demo) Points can be anything samples from high dimensional manifolds: configuration spaces for robots (PRM), time-variant data, etc. samples of tangent complex for data-set M S 2 Need fast d-dim complex builder Afra Zomorodian CS 468 Lecture 8 - Page 26

TOPOLOGY OF POINT CLOUD DATA

TOPOLOGY OF POINT CLOUD DATA TOPOLOGY OF POINT CLOUD DATA CS 468 Lecture 8 3/3/4 Afra Zomorodian CS 468 Lecture 8 - Page 1 OVERVIEW Points Complexes Cěch Rips Alpha Filtrations Persistence Afra Zomorodian CS 468 Lecture 8 - Page 2

More information

Topological Data Analysis - II. Afra Zomorodian Department of Computer Science Dartmouth College

Topological Data Analysis - II. Afra Zomorodian Department of Computer Science Dartmouth College Topological Data Analysis - II Afra Zomorodian Department of Computer Science Dartmouth College September 4, 2007 1 Plan Yesterday: Motivation Topology Simplicial Complexes Invariants Homology Algebraic

More information

COMPUTING HOMOLOGY: 0 b lk. CS 468 Lecture 7 11/6/2. Afra Zomorodian CS 468 Lecture 7 - Page 1

COMPUTING HOMOLOGY: 0 b lk. CS 468 Lecture 7 11/6/2. Afra Zomorodian CS 468 Lecture 7 - Page 1 COMPUTING HOMOLOGY: b 1 0... 0 0 b lk 0 0 CS 468 Lecture 7 11/6/2 Afra Zomorodian CS 468 Lecture 7 - Page 1 TIDBITS Lecture 8 is on Tuesday, November 12 Email me about projects! Projects will be November

More information

Lecture 12: Feb 16, 2017

Lecture 12: Feb 16, 2017 CS 6170 Computational Topology: Topological Data Analysis Spring 2017 Lecture 12: Feb 16, 2017 Lecturer: Prof Bei Wang University of Utah School of Computing Scribe: Waiming Tai This

More information

Persistent Homology. 128 VI Persistence

Persistent Homology. 128 VI Persistence 8 VI Persistence VI. Persistent Homology A main purpose of persistent homology is the measurement of the scale or resolution of a topological feature. There are two ingredients, one geometric, assigning

More information

2 Review: Modeling Molecules with Spherical Balls

2 Review: Modeling Molecules with Spherical Balls CS273: Algorithms for Structure Handout # 12 and Motion in Biology Stanford University Thursday, 6 May 2003 Lecture #12: 6 May 2004 Topics: Geometric Models of Molecules II Scribe: Itamar Rosenn 1 Introduction

More information

Beyond random graphs : random simplicial complexes. Applications to sensor networks

Beyond random graphs : random simplicial complexes. Applications to sensor networks Beyond random graphs : random simplicial complexes. Applications to sensor networks L. Decreusefond E. Ferraz P. Martins H. Randriambololona A. Vergne Telecom ParisTech Workshop on random graphs, April

More information

Chapter 3: Homology Groups Topics in Computational Topology: An Algorithmic View

Chapter 3: Homology Groups Topics in Computational Topology: An Algorithmic View Chapter 3: Homology Groups Topics in Computational Topology: An Algorithmic View As discussed in Chapter 2, we have complete topological information about 2-manifolds. How about higher dimensional manifolds?

More information

Graph Induced Complex: A Data Sparsifier for Homology Inference

Graph Induced Complex: A Data Sparsifier for Homology Inference Graph Induced Complex: A Data Sparsifier for Homology Inference Tamal K. Dey Fengtao Fan Yusu Wang Department of Computer Science and Engineering The Ohio State University October, 2013 Space, Sample and

More information

Topological Simplification in 3-Dimensions

Topological Simplification in 3-Dimensions Topological Simplification in 3-Dimensions David Letscher Saint Louis University Computational & Algorithmic Topology Sydney Letscher (SLU) Topological Simplification CATS 2017 1 / 33 Motivation Original

More information

2/22/2017. Sept 20, 2013: Persistent homology.

2/22/2017. Sept 20, 2013: Persistent homology. //7 MATH:745 (M:35) Topics in Topology: Scientific and Engineering Applications of Algebraic Topology Sept, 3: Persistent homology. Fall 3 course offered through the University of Iowa Division of Continuing

More information

Neuronal structure detection using Persistent Homology

Neuronal structure detection using Persistent Homology Neuronal structure detection using Persistent Homology J. Heras, G. Mata and J. Rubio Department of Mathematics and Computer Science, University of La Rioja Seminario de Informática Mirian Andrés March

More information

Ripser. Efficient Computation of Vietoris Rips Persistence Barcodes. Ulrich Bauer TUM

Ripser. Efficient Computation of Vietoris Rips Persistence Barcodes. Ulrich Bauer TUM Ripser Efficient Computation of Vietoris Rips Persistence Barcodes Ulrich Bauer TUM March 23, 2017 Computational and Statistical Aspects of Topological Data Analysis Alan Turing Institute http://ulrich-bauer.org/ripser-talk.pdf

More information

Some Topics in Computational Topology. Yusu Wang. AMS Short Course 2014

Some Topics in Computational Topology. Yusu Wang. AMS Short Course 2014 Some Topics in Computational Topology Yusu Wang AMS Short Course 2014 Introduction Much recent developments in computational topology Both in theory and in their applications E.g, the theory of persistence

More information

Some Topics in Computational Topology

Some Topics in Computational Topology Some Topics in Computational Topology Yusu Wang Ohio State University AMS Short Course 2014 Introduction Much recent developments in computational topology Both in theory and in their applications E.g,

More information

Matthew L. Wright. St. Olaf College. June 15, 2017

Matthew L. Wright. St. Olaf College. June 15, 2017 Matthew L. Wright St. Olaf College June 15, 217 Persistent homology detects topological features of data. For this data, the persistence barcode reveals one significant hole in the point cloud. Problem:

More information

Metric Thickenings of Euclidean Submanifolds

Metric Thickenings of Euclidean Submanifolds Metric Thickenings of Euclidean Submanifolds Advisor: Dr. Henry Adams Committe: Dr. Chris Peterson, Dr. Daniel Cooley Joshua Mirth Masters Thesis Defense October 3, 2017 Introduction Motivation Can we

More information

Persistent Homology. 24 Notes by Tamal K. Dey, OSU

Persistent Homology. 24 Notes by Tamal K. Dey, OSU 24 Notes by Tamal K. Dey, OSU Persistent Homology Suppose we have a noisy point set (data) sampled from a space, say a curve inr 2 as in Figure 12. Can we get the information that the sampled space had

More information

Persistence based Clustering

Persistence based Clustering July 9, 2009 TGDA Workshop Persistence based Clustering Primoz Skraba joint work with Frédéric Chazal, Steve Y. Oudot, Leonidas J. Guibas 1-1 Clustering Input samples 2-1 Clustering Input samples Important

More information

THE PENNSYLVANIA STATE UNIVERSITY SCHREYER HONORS COLLEGE DEPARTMENT OF MATHEMATICS TOPOLOGY AND DATA ANALYSIS HANGYU ZHOU SPRING 2017

THE PENNSYLVANIA STATE UNIVERSITY SCHREYER HONORS COLLEGE DEPARTMENT OF MATHEMATICS TOPOLOGY AND DATA ANALYSIS HANGYU ZHOU SPRING 2017 THE PENNSYLVANIA STATE UNIVERSITY SCHREYER HONORS COLLEGE DEPARTMENT OF MATHEMATICS TOPOLOGY AND DATA ANALYSIS HANGYU ZHOU SPRING 2017 A thesis submitted in partial fulfillment of the requirements for

More information

Geometric Inference on Kernel Density Estimates

Geometric Inference on Kernel Density Estimates Geometric Inference on Kernel Density Estimates Bei Wang 1 Jeff M. Phillips 2 Yan Zheng 2 1 Scientific Computing and Imaging Institute, University of Utah 2 School of Computing, University of Utah Feb

More information

Multivariate Topological Data Analysis

Multivariate Topological Data Analysis Cleveland State University November 20, 2008, Duke University joint work with Gunnar Carlsson (Stanford), Peter Kim and Zhiming Luo (Guelph), and Moo Chung (Wisconsin Madison) Framework Ideal Truth (Parameter)

More information

An introduction to discrete Morse theory

An introduction to discrete Morse theory An introduction to discrete Morse theory Henry Adams December 11, 2013 Abstract This talk will be an introduction to discrete Morse theory. Whereas standard Morse theory studies smooth functions on a differentiable

More information

Persistent homology analysis of protein structure, flexibility and folding

Persistent homology analysis of protein structure, flexibility and folding Persistent homology analysis of protein structure, flexibility and folding arxiv:1412.2779v1 [q-bio.bm] 8 Dec 2014 Kelin Xia 1,2 Guo-Wei Wei 1,2,3,4 1 Department of Mathematics Michigan State University,

More information

Supplementary Figures

Supplementary Figures Death time Supplementary Figures D i, Å Supplementary Figure 1: Correlation of the death time of 2-dimensional homology classes and the diameters of the largest included sphere D i when using methane CH

More information

A Higher-Dimensional Homologically Persistent Skeleton

A Higher-Dimensional Homologically Persistent Skeleton A Higher-Dimensional Homologically Persistent Skeleton Sara Kališnik Verovšek, Vitaliy Kurlin, Davorin Lešnik 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Abstract A data set is often given as a point cloud,

More information

Cut Locus and Topology from Surface Point Data

Cut Locus and Topology from Surface Point Data Cut Locus and Topology from Surface Point Data Tamal K. Dey Kuiyu Li March 24, 2009 Abstract A cut locus of a point p in a compact Riemannian manifold M is defined as the set of points where minimizing

More information

5. Persistence Diagrams

5. Persistence Diagrams Vin de Silva Pomona College CBMS Lecture Series, Macalester College, June 207 Persistence modules Persistence modules A diagram of vector spaces and linear maps V 0 V... V n is called a persistence module.

More information

Stability of Critical Points with Interval Persistence

Stability of Critical Points with Interval Persistence Stability of Critical Points with Interval Persistence Tamal K. Dey Rephael Wenger Abstract Scalar functions defined on a topological space Ω are at the core of many applications such as shape matching,

More information

Computational Homology in Topological Dynamics

Computational Homology in Topological Dynamics 1 Computational Homology in Topological Dynamics ACAT School, Bologna, Italy MAY 26, 2012 Marian Mrozek Jagiellonian University, Kraków Outline 2 Dynamical systems Rigorous numerics of dynamical systems

More information

7.3 Singular Homology Groups

7.3 Singular Homology Groups 184 CHAPTER 7. HOMOLOGY THEORY 7.3 Singular Homology Groups 7.3.1 Cycles, Boundaries and Homology Groups We can define the singular p-chains with coefficients in a field K. Furthermore, we can define the

More information

A Higher-Dimensional Homologically Persistent Skeleton

A Higher-Dimensional Homologically Persistent Skeleton arxiv:1701.08395v5 [math.at] 10 Oct 2017 A Higher-Dimensional Homologically Persistent Skeleton Sara Kališnik Verovšek, Vitaliy Kurlin, Davorin Lešnik Abstract Real data is often given as a point cloud,

More information

Random topology and geometry

Random topology and geometry Random topology and geometry Matthew Kahle Ohio State University AMS Short Course Introduction I predict a new subject of statistical topology. Rather than count the number of holes, Betti numbers, etc.,

More information

Persistent Homology of Data, Groups, Function Spaces, and Landscapes.

Persistent Homology of Data, Groups, Function Spaces, and Landscapes. Persistent Homology of Data, Groups, Function Spaces, and Landscapes. Shmuel Weinberger Department of Mathematics University of Chicago William Benter Lecture City University of Hong Kong Liu Bie Ju Centre

More information

arxiv: v5 [math.mg] 6 Sep 2018

arxiv: v5 [math.mg] 6 Sep 2018 PERSISTENT HOMOLOGY AND THE UPPER BOX DIMENSION BENJAMIN SCHWEINHART arxiv:1802.00533v5 [math.mg] 6 Sep 2018 Abstract. We introduce a fractal dimension for a metric space based on the persistent homology

More information

Reeb Graphs: Approximation and Persistence

Reeb Graphs: Approximation and Persistence Reeb Graphs: Approximation and Persistence Tamal K. Dey Yusu Wang Abstract Given a continuous function f : X IR on a topological space X, its level set f 1 (a) changes continuously as the real value a

More information

An Introduction to Topological Data Analysis

An Introduction to Topological Data Analysis An Introduction to Topological Data Analysis Elizabeth Munch Duke University :: Dept of Mathematics Tuesday, June 11, 2013 Elizabeth Munch (Duke) CompTop-SUNYIT Tuesday, June 11, 2013 1 / 43 There is no

More information

Nonparametric regression for topology. applied to brain imaging data

Nonparametric regression for topology. applied to brain imaging data , applied to brain imaging data Cleveland State University October 15, 2010 Motivation from Brain Imaging MRI Data Topology Statistics Application MRI Data Topology Statistics Application Cortical surface

More information

Topological Phase Transitions

Topological Phase Transitions 1 Topological Phase Transitions Robert Adler Electrical Engineering Technion Israel Institute of Technology Stochastic Geometry Poitiers August 2015 Topological Phase Transitions (Nature abhors complexity)

More information

Persistent Homology: Course Plan

Persistent Homology: Course Plan Persistent Homology: Course Plan Andrey Blinov 16 October 2017 Abstract This is a list of potential topics for each class of the prospective course, with references to the literature. Each class will have

More information

Analysis of Scalar Fields over Point Cloud Data

Analysis of Scalar Fields over Point Cloud Data Analysis of Scalar Fields over Point Cloud Data Frédéric Chazal Leonidas J. Guibas Steve Y. Oudot Primoz Skraba Abstract Given a real-valued function f defined over some metric space X, is it possible

More information

Neural Codes and Neural Rings: Topology and Algebraic Geometry

Neural Codes and Neural Rings: Topology and Algebraic Geometry Neural Codes and Neural Rings: Topology and Algebraic Geometry Ma191b Winter 2017 Geometry of Neuroscience References for this lecture: Curto, Carina; Itskov, Vladimir; Veliz-Cuba, Alan; Youngs, Nora,

More information

Measuring and computing natural generators for homology groups

Measuring and computing natural generators for homology groups Measuring and computing natural generators for homology groups Chao Chen, Rensselaer Polytechnic Institute 110 8th street, Troy, NY 12180, U.S.A. Email: chenc3@cs.rpi.edu Homepage: www.cs.rpi.edu/ chenc3

More information

Scalar Field Analysis over Point Cloud Data

Scalar Field Analysis over Point Cloud Data DOI 10.1007/s00454-011-9360-x Scalar Field Analysis over Point Cloud Data Frédéric Chazal Leonidas J. Guibas Steve Y. Oudot Primoz Skraba Received: 19 July 2010 / Revised: 13 April 2011 / Accepted: 18

More information

Topological Data Analysis - Spring 2018

Topological Data Analysis - Spring 2018 Topological Data Analysis - Spring 2018 Simplicial Homology Slightly rearranged, but mostly copy-pasted from Harer s and Edelsbrunner s Computational Topology, Verovsek s class notes. Gunnar Carlsson s

More information

Simplicial Homology. Simplicial Homology. Sara Kališnik. January 10, Sara Kališnik January 10, / 34

Simplicial Homology. Simplicial Homology. Sara Kališnik. January 10, Sara Kališnik January 10, / 34 Sara Kališnik January 10, 2018 Sara Kališnik January 10, 2018 1 / 34 Homology Homology groups provide a mathematical language for the holes in a topological space. Perhaps surprisingly, they capture holes

More information

Lecture 4: Knot Complements

Lecture 4: Knot Complements Lecture 4: Knot Complements Notes by Zach Haney January 26, 2016 1 Introduction Here we discuss properties of the knot complement, S 3 \ K, for a knot K. Definition 1.1. A tubular neighborhood V k S 3

More information

24 PERSISTENT HOMOLOGY

24 PERSISTENT HOMOLOGY 24 PERSISTENT HOMOLOGY Herbert Edelsbrunner and Dmitriy Morozov INTRODUCTION Persistent homology was introduced in [ELZ00] and quickly developed into the most influential method in computational topology.

More information

Sept 16, 2013: Persistent homology III

Sept 16, 2013: Persistent homology III MATH:7450 (22M:305) Topics in Topology: Scien:fic and Engineering Applica:ons of Algebraic Topology Sept 16, 2013: Persistent homology III Fall 2013 course offered through the University of Iowa Division

More information

Approximating the Pathway Axis and the Persistence Diagram of a Collection of Balls in 3-Space

Approximating the Pathway Axis and the Persistence Diagram of a Collection of Balls in 3-Space Approximating the Pathway Axis and the Persistence Diagram of a Collection of Balls in 3-Space Eitan Yaffe Dan Halperin School of Computer Science Tel-Aviv University, Israel {eitanyaf,danha}@post.tau.ac.il

More information

Persistent Local Systems

Persistent Local Systems Persistent Local Systems Amit Patel Department of Mathematics Colorado State University joint work with Robert MacPherson School of Mathematics Institute for Advanced Study Abel Symposium on Topological

More information

Dimension Detection by Local Homology

Dimension Detection by Local Homology Dimension Detection by Local Homology Tamal K. Dey Fengtao Fan Yusu Wang Abstract Detecting the dimension of a hidden manifold from a point sample has become an important problem in the current data-driven

More information

Handlebody Decomposition of a Manifold

Handlebody Decomposition of a Manifold Handlebody Decomposition of a Manifold Mahuya Datta Statistics and Mathematics Unit Indian Statistical Institute, Kolkata mahuya@isical.ac.in January 12, 2012 contents Introduction What is a handlebody

More information

Computation of Persistent Homology

Computation of Persistent Homology Computation of Persistent Homology Part 2: Efficient Computation of Vietoris Rips Persistence Ulrich Bauer TUM August 14, 2018 Tutorial on Multiparameter Persistence, Computation, and Applications Institute

More information

Consistent Manifold Representation for Topological Data Analysis

Consistent Manifold Representation for Topological Data Analysis Consistent Manifold Representation for Topological Data Analysis Tyrus Berry (tberry@gmu.edu) and Timothy Sauer Dept. of Mathematical Sciences, George Mason University, Fairfax, VA 3 Abstract For data

More information

Geodesic Delaunay Triangulations in Bounded Planar Domains

Geodesic Delaunay Triangulations in Bounded Planar Domains Geodesic Delaunay Triangulations in Bounded Planar Domains Leonidas J. Guibas Dept. of Computer Science Stanford University Stanford, CA guibas@cs.stanford.edu Jie Gao Dept. of Computer Science Stony Brook

More information

Metrics on Persistence Modules and an Application to Neuroscience

Metrics on Persistence Modules and an Application to Neuroscience Metrics on Persistence Modules and an Application to Neuroscience Magnus Bakke Botnan NTNU November 28, 2014 Part 1: Basics The Study of Sublevel Sets A pair (M, f ) where M is a topological space and

More information

Homology through Interleaving

Homology through Interleaving Notes by Tamal K. Dey, OSU 91 Homology through Interleaving 32 Concept of interleaving A discrete set P R k is assumed to be a sample of a set X R k, if it lies near to it which we can quantify with the

More information

arxiv: v2 [math.pr] 15 May 2016

arxiv: v2 [math.pr] 15 May 2016 MAXIMALLY PERSISTENT CYCLES IN RANDOM GEOMETRIC COMPLEXES OMER BOBROWSKI, MATTHEW KAHLE, AND PRIMOZ SKRABA arxiv:1509.04347v2 [math.pr] 15 May 2016 Abstract. We initiate the study of persistent homology

More information

Homotopy types of the complements of hyperplane arrangements, local system homology and iterated integrals

Homotopy types of the complements of hyperplane arrangements, local system homology and iterated integrals Homotopy types of the complements of hyperplane arrangements, local system homology and iterated integrals Toshitake Kohno The University of Tokyo August 2009 Plan Part 1 : Homotopy types of the complements

More information

Approximating Cycles in a Shortest Basis of the First Homology Group from Point Data

Approximating Cycles in a Shortest Basis of the First Homology Group from Point Data Approximating Cycles in a Shortest Basis of the First Homology Group from Point Data Tamal K. Dey Jian Sun Yusu Wang Abstract Inference of topological and geometric attributes of a hidden manifold from

More information

Birth and death in discrete Morse theory

Birth and death in discrete Morse theory Birth and death in discrete Morse theory Neža Mramor Kosta joint work with Henry C. King, Kevin Knudson University of Ljubljana, Slovenia ACAT Bremen 2013 Motivation Discrete Morse theory Parametric discrete

More information

Lecture 1. Toric Varieties: Basics

Lecture 1. Toric Varieties: Basics Lecture 1. Toric Varieties: Basics Taras Panov Lomonosov Moscow State University Summer School Current Developments in Geometry Novosibirsk, 27 August1 September 2018 Taras Panov (Moscow University) Lecture

More information

arxiv: v1 [math.na] 10 Jun 2015

arxiv: v1 [math.na] 10 Jun 2015 Continuation of Point Clouds via Persistence Diagrams Marcio Gameiro a, Yasuaki Hiraoka b, Ippei Obayashi b a Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, Caixa Postal

More information

Evgeniy V. Martyushev RESEARCH STATEMENT

Evgeniy V. Martyushev RESEARCH STATEMENT Evgeniy V. Martyushev RESEARCH STATEMENT My research interests lie in the fields of topology of manifolds, algebraic topology, representation theory, and geometry. Specifically, my work explores various

More information

THESIS METRIC THICKENINGS OF EUCLIDEAN SUBMANIFOLDS. Submitted by. Joshua R. Mirth. Department of Mathematics

THESIS METRIC THICKENINGS OF EUCLIDEAN SUBMANIFOLDS. Submitted by. Joshua R. Mirth. Department of Mathematics THESIS METRIC THICKENINGS OF EUCLIDEAN SUBMANIFOLDS Submitted by Joshua R. Mirth Department of Mathematics In partial fulfillment of the requirements For the Degree of Master of Science Colorado State

More information

Persistence in discrete Morse theory

Persistence in discrete Morse theory Persistence in discrete Morse theory Dissertation zur Erlangung des mathematisch-naturwissenschaftlichen Doktorgrades Doctor rerum naturalium der Georg-August-Universität Göttingen vorgelegt von Ulrich

More information

Persistent homology and nonparametric regression

Persistent homology and nonparametric regression Cleveland State University March 10, 2009, BIRS: Data Analysis using Computational Topology and Geometric Statistics joint work with Gunnar Carlsson (Stanford), Moo Chung (Wisconsin Madison), Peter Kim

More information

Persistence Theory: From Quiver Representations to Data Analysis

Persistence Theory: From Quiver Representations to Data Analysis Persistence Theory: From Quiver Representations to Data Analysis Comments and Corrections Steve Oudot June 29, 2017 Comments page viii, bottom of page: the following names should be added to the acknowledgements:

More information

A metric approach to shape comparison via multidimensional persistence

A metric approach to shape comparison via multidimensional persistence A metric approach to shape comparison via multidimensional persistence Patrizio Frosini 1,2 1 Department of Mathematics, University of Bologna, Italy 2 ARCES - Vision Mathematics Group, University of Bologna,

More information

18.312: Algebraic Combinatorics Lionel Levine. Lecture 11

18.312: Algebraic Combinatorics Lionel Levine. Lecture 11 18.312: Algebraic Combinatorics Lionel Levine Lecture date: March 15, 2011 Lecture 11 Notes by: Ben Bond Today: Mobius Algebras, µ( n ). Test: The average was 17. If you got < 15, you have the option to

More information

A general distance for geometrical shape comparison

A general distance for geometrical shape comparison A general distance for geometrical shape comparison Patrizio Frosini 1,2 1 Department of Mathematics, University of Bologna, Italy 2 ARCES - Vision Mathematics Group, University of Bologna, Italy patrizio.frosini@unibo.it

More information

Topology and biology: Persistent homology of aggregation models

Topology and biology: Persistent homology of aggregation models Topology and biology: Persistent homology of aggregation models Chad Topaz, Lori Ziegelmeier, Tom Halverson Macalester College Ghrist (2008) If I can do applied topology, YOU can do applied topology Chad

More information

Conditions for the Equivalence of Largeness and Positive vb 1

Conditions for the Equivalence of Largeness and Positive vb 1 Conditions for the Equivalence of Largeness and Positive vb 1 Sam Ballas November 27, 2009 Outline 3-Manifold Conjectures Hyperbolic Orbifolds Theorems on Largeness Main Theorem Applications Virtually

More information

arxiv: v1 [math.at] 27 Jul 2012

arxiv: v1 [math.at] 27 Jul 2012 STATISTICAL TOPOLOGY USING PERSISTENCE LANDSCAPES PETER BUBENIK arxiv:1207.6437v1 [math.at] 27 Jul 2012 Abstract. We define a new descriptor for persistent homology, which we call the persistence landscape,

More information

CW-complexes. Stephen A. Mitchell. November 1997

CW-complexes. Stephen A. Mitchell. November 1997 CW-complexes Stephen A. Mitchell November 1997 A CW-complex is first of all a Hausdorff space X equipped with a collection of characteristic maps φ n α : D n X. Here n ranges over the nonnegative integers,

More information

CELLULAR HOMOLOGY AND THE CELLULAR BOUNDARY FORMULA. Contents 1. Introduction 1

CELLULAR HOMOLOGY AND THE CELLULAR BOUNDARY FORMULA. Contents 1. Introduction 1 CELLULAR HOMOLOGY AND THE CELLULAR BOUNDARY FORMULA PAOLO DEGIORGI Abstract. This paper will first go through some core concepts and results in homology, then introduce the concepts of CW complex, subcomplex

More information

Minimal free resolutions that are not supported by a CW-complex.

Minimal free resolutions that are not supported by a CW-complex. Minimal free resolutions that are not supported by a CW-complex. Mauricio Velasco Department of Mathematics, Cornell University, Ithaca, NY 4853, US Introduction The study of monomial resolutions and their

More information

7. The Stability Theorem

7. The Stability Theorem Vin de Silva Pomona College CBMS Lecture Series, Macalester College, June 2017 The Persistence Stability Theorem Stability Theorem (Cohen-Steiner, Edelsbrunner, Harer 2007) The following transformation

More information

6 Axiomatic Homology Theory

6 Axiomatic Homology Theory MATH41071/MATH61071 Algebraic topology 6 Axiomatic Homology Theory Autumn Semester 2016 2017 The basic ideas of homology go back to Poincaré in 1895 when he defined the Betti numbers and torsion numbers

More information

Non-isolated Hypersurface Singularities and Lê Cycles

Non-isolated Hypersurface Singularities and Lê Cycles Contemporary Mathematics Non-isolated Hypersurface Singularities and Lê Cycles David B. Massey Abstract. In this series of lectures, I will discuss results for complex hypersurfaces with non-isolated singularities.

More information

Parallel Computation of Persistent Homology using the Blowup Complex

Parallel Computation of Persistent Homology using the Blowup Complex Parallel Computation of Persistent Homology using the Blowup Complex Ryan Lewis Stanford University Stanford, CA me@ryanlewis.net Dmitriy Morozov Lawrence Berkeley National Laboratory Berkeley, CA dmitriy@mrzv.org

More information

Introduction to finite element exterior calculus

Introduction to finite element exterior calculus Introduction to finite element exterior calculus Ragnar Winther CMA, University of Oslo Norway Why finite element exterior calculus? Recall the de Rham complex on the form: R H 1 (Ω) grad H(curl, Ω) curl

More information

MEASURING SHAPE WITH TOPOLOGY

MEASURING SHAPE WITH TOPOLOGY MEASURING SHAPE WITH TOPOLOGY ROBERT MACPHERSON AND BENJAMIN SCHWEINHART Abstract. We propose a measure of shape which is appropriate for the study of a complicated geometric structure, defined using the

More information

2.5 Excision implies Simplicial = Singular homology

2.5 Excision implies Simplicial = Singular homology 2.5 Excision implies Simplicial = Singular homology 1300Y Geometry and Topology 2.5 Excision implies Simplicial = Singular homology Recall that simplicial homology was defined in terms of a -complex decomposition

More information

The Topology of Intersections of Coloring Complexes

The Topology of Intersections of Coloring Complexes The Topology of Intersections of Coloring Complexes Jakob Jonsson October 19, 2005 Abstract In a construction due to Steingrímsson, a simplicial complex is associated to each simple graph; the complex

More information

Math 6802 Algebraic Topology II

Math 6802 Algebraic Topology II Math 6802 Algebraic Topology II Nathan Broaddus Ohio State University February 9, 2015 Theorem 1 (The Künneth Formula) If X and Y are spaces then there is a natural exact sequence 0 i H i (X ) H n i (Y

More information

RIMS-1897 On multiframings of 3-manifolds By Tatsuro SHIMIZU December 2018 RESEARCH INSTITUTE FOR MATHEMATICAL SCIENCES KYOTO UNIVERSITY, Kyoto, Japan

RIMS-1897 On multiframings of 3-manifolds By Tatsuro SHIMIZU December 2018 RESEARCH INSTITUTE FOR MATHEMATICAL SCIENCES KYOTO UNIVERSITY, Kyoto, Japan RIMS-1897 On multiframings of 3-manifolds By Tatsuro SHIMIZU December 2018 RESEARCH INSTITUTE FOR MATHEMATICAL SCIENCES KYOTO UNIVERSITY, Kyoto, Japan On multiframings of 3 manifolds Tatsuro Shimizu 1

More information

arxiv: v1 [math.gt] 12 Aug 2016

arxiv: v1 [math.gt] 12 Aug 2016 Minimal contact triangulations of 3-manifolds Basudeb Datta 1, Dheeraj Kulkarni 2 arxiv:1608.03823v1 [math.gt] 12 Aug 2016 1 Department of Mathematics, Indian Institute of Science, Bangalore 560 012, India.

More information

Introduction (Lecture 1)

Introduction (Lecture 1) Introduction (Lecture 1) February 2, 2011 In this course, we will be concerned with variations on the following: Question 1. Let X be a CW complex. When does there exist a homotopy equivalence X M, where

More information

Topological Data Analysis with Bregman Divergences

Topological Data Analysis with Bregman Divergences Topological Data Analysis with Bregman Divergences Herbert Edelsbrunner 1 and Hubert Wagner 2 1 IST Austria, Klosterneuburg, Austria edels@ist.ac.at 2 IST Austria, Klosterneuburg, Austria hub.wag@gmail.com

More information

For Ramin. From Jonathan December 9, 2014

For Ramin. From Jonathan December 9, 2014 For Ramin From Jonathan December 9, 2014 1 Foundations. 1.0 Overview. Traditionally, knot diagrams are employed as a device which converts a topological object into a combinatorial one. One begins with

More information

A Crash Course of Floer Homology for Lagrangian Intersections

A Crash Course of Floer Homology for Lagrangian Intersections A Crash Course of Floer Homology for Lagrangian Intersections Manabu AKAHO Department of Mathematics Tokyo Metropolitan University akaho@math.metro-u.ac.jp 1 Introduction There are several kinds of Floer

More information

DISCRETIZED CONFIGURATIONS AND PARTIAL PARTITIONS

DISCRETIZED CONFIGURATIONS AND PARTIAL PARTITIONS DISCRETIZED CONFIGURATIONS AND PARTIAL PARTITIONS AARON ABRAMS, DAVID GAY, AND VALERIE HOWER Abstract. We show that the discretized configuration space of k points in the n-simplex is homotopy equivalent

More information

(iv) Whitney s condition B. Suppose S β S α. If two sequences (a k ) S α and (b k ) S β both converge to the same x S β then lim.

(iv) Whitney s condition B. Suppose S β S α. If two sequences (a k ) S α and (b k ) S β both converge to the same x S β then lim. 0.1. Stratified spaces. References are [7], [6], [3]. Singular spaces are naturally associated to many important mathematical objects (for example in representation theory). We are essentially interested

More information

The Minimal Element Theorem

The Minimal Element Theorem The Minimal Element Theorem The CMC Dynamics Theorem deals with describing all of the periodic or repeated geometric behavior of a properly embedded CMC surface with bounded second fundamental form in

More information

The Persistent Homology of Distance Functions under Random Projection

The Persistent Homology of Distance Functions under Random Projection The Persistent Homology of Distance Functions under Random Projection Donald R. Sheehy University of Connecticut don.r.sheehy@gmail.com Abstract Given n points P in a Euclidean space, the Johnson-Linden-strauss

More information

Math 141 Final Exam December 18, 2014

Math 141 Final Exam December 18, 2014 Math 141 Final Exam December 18, 2014 Name: Complete the following problems. In order to receive full credit, please provide rigorous proofs and show all of your work and justify your answers. Unless stated

More information

Computer Organization I. Lecture 13: Design of Combinational Logic Circuits

Computer Organization I. Lecture 13: Design of Combinational Logic Circuits Computer Organization I Lecture 13: Design of Combinational Logic Circuits Overview The optimization of multiple-level circuits Mapping Technology Verification Objectives To know how to optimize the multiple-level

More information

Short geodesic loops on complete Riemannian manifolds with finite volume.

Short geodesic loops on complete Riemannian manifolds with finite volume. Short geodesic loops on complete Riemannian manifolds with finite volume. Regina Rotman August 30, 2008 Abstract In this paper we will show that on any complete noncompact Riemannian manifold with a finite

More information