shortest nontrivial cycles in directed surface graphs
play

ShortestNontrivialCycles inDirectedSurfaceGraphs JeffErickson - PowerPoint PPT Presentation

ShortestNontrivialCycles inDirectedSurfaceGraphs JeffErickson SOCG2011 Drink! 2 Theproblem Givenanedgeweighted directed graph G embeddedonasurface,


  1. Shortest
Nontrivial
Cycles in
Directed
Surface
Graphs Jeff
Erickson SOCG
2011

  2. Drink! 2

  3. The
problem Given
an
edge‐weighted
 directed 
graph
 G 
embedded
on
a
surface, find
the
shortest
non‐contractible
or
non‐separating
cycle
in
 G . 3

  4. The
problem Given
an
edge‐weighted
 directed 
graph
 G 
embedded
on
a
surface, find
the
shortest
non‐contractible
or
non‐separating
cycle
in
 G . non‐separating separating separating non‐contractible non‐contractible contractible 3

  5. Why? Finding
short
nontrivial
cycles
is
a
critical
 subproblem
of
several
more
complex
 surface‐graph
algorithms. •Topological
noise/feature
removal •Surface
parametrization •Shortest
homotopic
paths •Approximate
TSP
tours
and
Steiner
trees •Graph
isomorphism •Drawing
in
the
plane
with
few
crossings •Probabilistic
embedding
into
planar
graphs •... 4

  6. Time
bounds
(undirected) Non‐contractible Non‐separating O( n 3 ) O( n 3 ) Thomassen
90 O( n 2 
log
 n ) O( n 2 
log
 n ) Erickson
Har‐Peled
03,
04 g O( g ) 
 n 3/2 O( g 3/2
 n 3/2 
log
 n ) Cabello
Mohar
05,
07 g O( g ) 
 n 4/3 
log
 n — Cabello
06 g O( g ) 
 n 
 log
 n g O( g ) 
 n 
log
 n Kutz
06 O( g 3 
 n 
log
 n ) O( g 3 
 n 
log
 n ) Cabello
Chambers
07 O( g 2 
 n 
log
 n ) O( g 2 
 n 
log
 n ) Cabello
Chambers
Erickson In
 some 
of
these
bounds,
O(log
 n )
factors
can
be
reduced
to
O(log
log
 n )
 [Italiano
Nussbaum
Sankowski
Wulff‐Nielsen
STOC
11] 5

  7. Time
bounds
(directed) Non‐contractible Non‐separating O( n 2 
log
 n ) O( n 2 
log
 n ) Cabello,
Colin
de
Verdière,
 Lazarus
10 O( g 1/2
 n 3/2 
log
 n ) O( g 1/2
 n 3/2 
log
 n ) — 2 O( g ) 
 n 
log
 n Erickson
Nayyeri
11 6

  8. Time
bounds
(directed) Non‐contractible Non‐separating O( n 2 
log
 n ) O( n 2 
log
 n ) Cabello,
Colin
de
Verdière,
 Lazarus
10 O( g 1/2
 n 3/2 
log
 n ) O( g 1/2
 n 3/2 
log
 n ) — 2 O( g ) 
 n 
log
 n Erickson
Nayyeri
11 g O( g ) 
 n 
log
 n O( g 2 
 n 
log
 n ) This
paper Same
as
Kutz
for
 Same
as
Cabello
et
al.
for
 undirected
graphs undirected
graphs 6

  9. Two
main
ideas ‣ 3‐path
condition: 
The
shortest
 ‣ 1‐crossing
condition: 
The
 nontrivial
cycle
consists
of
two
 shortest
nontrivial
cycle
 shortest
paths
between
 any 
 crosses
any
shortest
path
at
 pair
of
 antipodal 
points.

 most
once.






























 [Thomassen
90,
Erickson
Har‐Peled
04] [Cabello
Mohar
05,
all
later
papers] 7

  10. Why
directed
graphs
are
harder ‣ Undirected
shortest
paths
cross
at
most
once. 8

  11. Why
directed
graphs
are
harder ‣ Undirected
shortest
paths
cross
at
most
once. ‣ Directed
shortest
paths
can
cross
arbitrarily
many
times! 8

  12. Time
bounds
(directed) modified Non‐contractible Non‐separating 3‐path
 condition O( n 2 
log
 n ) O( n 2 
log
 n ) Cabello,
Colin
de
Verdière,
 Lazarus
10 O( g 1/2
 n 3/2 
log
 n ) O( g 1/2
 n 3/2 
log
 n ) — 2 O( g ) 
 n 
log
 n Erickson
Nayyeri
11 g O( g ) 
 n 
log
 n O( g 2 
 n 
log
 n ) This
paper Same
as
Kutz
for
 Same
as
Cabello
et
al.
for
 modified undirected
graphs undirected
graphs 1–crossing
 condition 9

  13. Key
insight ‣ Let
 γ 
be
the
shortest
nontrivial
 directed 
cycle. ‣ Let
 σ 
be
any
 directed 
shortest
path
that
crosses
γ. 10

  14. Key
insight ‣ Let
 γ 
be
the
shortest
nontrivial
 directed 
cycle. ‣ Let
 σ 
be
any
 directed 
shortest
path
that
crosses
γ. ‣ Contracting
σ
to
a
point
transforms
γ
into
a
set
of
loops. 10

  15. Key
insight ‣ Let
 γ 
be
the
shortest
nontrivial
 directed 
cycle. ‣ Let
 σ 
be
any
 directed 
shortest
path
that
crosses
γ. ‣ Contracting
σ
to
a
point
transforms
γ
into
a
set
of
loops. ‣ At
most
one
of
these
loops
is
nontrivial. 10

  16. Shortest
non‐separating
cycles 11

  17. Greedy
homology
basis ‣ Greedy
 tree‐cotree
decomposition
 ( T , 
L , 
C ): ▹ T 
=
single‐source
shortest‐path
tree
in
 G ▹ C 
=
dual
of
any
spanning
tree
of
( G \ T )* ▹ L 
=
 G \ ( T ∪ C )
=
set
of
2 g 
edges ‣ For
each
edge
 e i 
in
 L ,
let
 λ i 
=
unique
 undirected 
cycle
in
 T ∪ e i [Eppstein
03,
Erickson
Whittlesey
05,
Cabello
Mohar
05] 12

  18. Greedy
homology
basis Undirected
cycles
λ 1 ,
λ 2 ,
...,
λ 2 g 
such
that: ‣ Homology
basis:
 Every
nonseparating
cycle
crosses
some
cycle
λ i 
 an
odd
number
of
times. ‣ Greedy:
 Every
cycle
λ i 
consists
of
two
shortest
paths
σ i 
and
τ i 
and
 an
edge. [Eppstein
03,
Erickson
Whittlesey
05,
Cabello
Mohar
05] 13

  19. Greedy
homology
basis Undirected
cycles
λ 1 ,
λ 2 ,
...,
λ 2 g 
such
that: ‣ Homology
basis:
 Every
nonseparating
cycle
crosses
some
cycle
λ i 
 an
odd
number
of
times. ‣ Greedy:
 Every
cycle
λ i 
consists
of
two
shortest
paths
σ i 
and
τ i 
and
 an
edge. e i σ i τ i [Eppstein
03,
Erickson
Whittlesey
05,
Cabello
Mohar
05] 13

  20. Cyclic
double‐cover
ΣN λ ‣ Fix
a
non‐separating
cycle
λ. λ 
Σ 14

  21. Cyclic
double‐cover
ΣN λ ‣ Fix
a
non‐separating
cycle
λ. λ 
Σ ‣ The
surface
Σ ʹ 
:=
Σ
 ✂ 
λ
has
two
 boundary
cycles
λ + 
and
λ – . λ + 
Σ ʹ λ – 14

  22. Cyclic
double‐cover
ΣN λ ‣ Fix
a
non‐separating
cycle
λ. λ 
Σ ‣ The
surface
Σ ʹ 
:=
Σ
 ✂ 
λ
has
two
 boundary
cycles
λ + 
and
λ – . (λ + ,0) 
(Σ ʹ ,0) ‣ Make
2
copies
(Σ ʹ ,0)
and
(Σ ʹ ,1) (λ – ,0) (λ + ,1) 
(Σ ʹ ,1) (λ – ,1) 14

  23. Cyclic
double‐cover
ΣN λ ‣ Fix
a
non‐separating
cycle
λ. λ 
Σ ‣ The
surface
Σ ʹ 
:=
Σ
 ✂ 
λ
has
two
 boundary
cycles
λ + 
and
λ – . λ + 
Σ ʹ ‣ Make
2
copies
(Σ ʹ ,0)
and
(Σ ʹ ,1) λ – ‣ Identify
(λ + ,1)
=
(λ – ,0)
and






 (λ + ,0)
=
(λ – ,1) 
(Σ ʹ ,0) 
(Σ ʹ ,1) 
Σq 14

  24. Cyclic
double‐cover
ΣN λ Any
cycle
γ
in
Σ
crossing
λ
an
odd
number
of
times is
the
projection
of
a path
γ̂
in
Σq λ 
from
( s ,0)
to
( s ,1),
for
 any 
point
 s 
in
γ 15

  25. Cyclic
double‐cover
ΣN λ Any
cycle
γ
in
Σ
crossing
λ
an
odd
number
of
times is
the
projection
of
a path
γ̂
in
Σq λ 
from
( s ,0)
to
( s ,1),
for
 any 
point
 s 
in
γ 15

  26. Cyclic
double‐cover
ΣN λ The
 shortest 
cycle
γ
in
Σ
crossing
λ
an
odd
number
of
times is
the
projection
of
a shortest 
path
γ̂
in
Σq λ 
from
( s ,0)
to
( s ,1),
for
 any 
point
 s 
in
γ 16

  27. At
most
one
nontrivial
crossing ‣ Fix
a
non‐separating
cycle
λ
covered
by
two
shortest
paths
σ
and
τ. ‣ Let
γ
=
shortest
cycle
crossing
λ
an
odd
number
of
times. ‣ Suppose
γ
intersects
σ. σ τ 17

  28. At
most
one
nontrivial
crossing ‣ Fix
a
non‐separating
cycle
λ
covered
by
two
shortest
paths
σ
and
τ. ‣ Let
γ
=
shortest
cycle
crossing
λ
an
odd
number
of
times. ‣ Suppose
γ
intersects
σ. σ 17

  29. At
most
one
nontrivial
crossing ‣ Suppose
γ
intersects
σ
=
 s 0 → s 1 → ⋅⋅⋅ → s k . (σ,0) (σ,1) 18

  30. At
most
one
nontrivial
crossing ‣ Suppose
γ
intersects
σ
=
 s 0 → s 1 → ⋅⋅⋅ → s k . ‣ Let
 s i 
=
 minimum‐index 
vertex
of
σ
that
lies
on
γ. (σ,0) ( s i ,0) (σ,1) ( s i ,1) 18

  31. At
most
one
nontrivial
crossing ‣ Suppose
γ
intersects
σ
=
 s 0 → s 1 → ⋅⋅⋅ → s k . ‣ Let
 s i 
=
 minimum‐index 
vertex
of
σ
that
lies
on
γ. ‣ Let
γ̂
=
shortest
path
in
Σq λ
 from
( s i ,0)
to
( s i ,1). (σ,0) ( s i ,0) (σ,1) ( s i ,1) 18

  32. At
most
one
nontrivial
crossing ‣ Suppose
γ
intersects
σ
=
 s 0 → s 1 → ⋅⋅⋅ → s k . ‣ Let
 s i 
=
 minimum‐index 
vertex
of
σ
that
lies
on
γ. ‣ Let
γ̂
=
shortest
path
in
Σq λ
 from
( s i ,0)
to
( s i ,1). (σ,0) ( s i ,0) (σ,1) ( s i ,1) 18

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend