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Topological Time Series Analysis
Jose Perea
Lecture 2: Persistent Homology of Sliding Window Point Clouds
Sliding window embedding
Step/delay
Window size
Dimension
window
Sliding window point-cloud
Sliding Windows and Persistence: An application of topology to signal analysis, J. Perea and J. Harer, 2015
Periodicity Circularity
Period ( ) Roundness (window size )
# of prominent harmonics ( ) Ambient Dimension ( )
# of non-commensurate frequencies Intrinsic Dimension ( )
Persistence Barcode
SW
Sliding Windows and Persistence: An application of topology to signal analysis, J. Perea and J. Harer, 2015
Rips filtration
Activity 1
• Open the jupyter notebook “2-PersistentHomology”
• Is there a relation between window size and maximum persistence ?
???
Theorem (Adams, Adamaszek, 2015)
Let denote the circle of unit circumference with geodesic distance. Then
for
The Vietoris-Rips Complex of a Circle, H. Adams and M. Adamasezk, 2015
SW1PerS: Sliding Windows and 1-Persistence Scoring
mp
Sample size
number of periods
SW1PerS: Sliding Windows and 1-Persistence Scoring, J. Perea et. al., 2016
Yeast Metabolic Cycle Data
SW1PerS: Sliding Windows and 1-Persistence Scoring, J. Perea et. al., 2016
Rankings of genes in the top 10% (out of 9,330 ) according to SW, and not in the top 10% for any other algorithm
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SW1PerS: Sliding Windows and 1-Persistence Scoring, J. Perea et. al., 2016
Activity 2
•Can you differentiate sums of harmonics, from sums of non-commensurate frequencies, using persistence?
Goal:
Given , understand
Persistent homology Rips
filtrationSliding window point cloud
Field of coefficients
Strategy
• Replace by its -truncated Fourier Series
• Understand the geometry of
• Take the limit of the resulting 1D-diagrams as
Sliding Windows and Persistence: An application of topology to signal analysis, J. Perea and J. Harer, 2015
Theorem 0 (P. and Harer)
Let , and let be finite.
If and are the persistence diagrams of
and , respectively , then
Bottleneck distance
k-th derivative
Sliding Windows and Persistence: An application of topology to signal analysis, J. Perea and J. Harer, 2015
1. is non-degenerate for
2. is roundest when
Let be s.t. for all ( )
and so that .
Theorem 1 (P. and Harer)
Sliding Windows and Persistence: An application of topology to signal analysis, J. Perea and J. Harer, 2015
Let , , and
Then and
are Cauchy with respect to , and
Theorem 2 (P. and Harer).
Sliding Windows and Persistence: An application of topology to signal analysis, J. Perea and J. Harer, 2015
Let be s.t. for all ( )
and so that .
As , with and -dense,
then , with rational coefficients, satisfies
Theorem 3 (P. and Harer).
Sliding Windows and Persistence: An application of topology to signal analysis, J. Perea and J. Harer, 2015
The Field of Coefficients…
Exercise: Let
Compute the maximum 1D-persistence of
with and coefficients.
Sliding Windows and Persistence: An application of topology to signal analysis, J. Perea and J. Harer, 2015
If where
, and , then
up to isometry
Why does this happen…
Sliding Windows and Persistence: An application of topology to signal analysis, J. Perea and J. Harer, 2015
The bounding 2-chain for
Mobius strip Disk
Disk Disk
Sliding Windows and Persistence: An application of topology to signal analysis, J. Perea and J. Harer, 2015
J. Perea and J. Harer, Sliding Windows and Persistence: An Application of Topological Methods to Signal Analysis, Foundations of Computational Mathematics, 2015.
Thanks!
J. Perea, A. Deckard, S. Haase and J. Harer, SW1PerS: Sliding Windows and 1-Persistence Socring; Discovering Periodicity in Time Series Data, Preprint, 2016.