Britannia/NET1 Web Seminar 2007 Presented By: NET1 Payment Solutions Presenter: Brian Morabito.
Topological Structures in the Julia Sets of Rational Maps Dynamics of the family of complex maps...
-
Upload
dinah-stevenson -
Category
Documents
-
view
217 -
download
0
description
Transcript of Topological Structures in the Julia Sets of Rational Maps Dynamics of the family of complex maps...
Topological Structures in the Julia Setsof Rational Maps
Dynamics of the family of complex maps
Paul Blanchard Mark MorabitoToni Garijo Monica Moreno RochaMatt Holzer Kevin PilgrimU. Hoomiforgot Elizabeth RussellDan Look Yakov ShapiroSebastian Marotta David Uminsky
with:
€
Fλ (z) = z n + λz n
Three different types of topological objects:
1. Cantor Necklaces
A Cantor necklace is a planar set that ishomeomorphic to the Cantor middle thirds
set with open disks replacing removed intervals.
Three different types of topological objects:
1. Cantor Necklaces
QuickTime™ and a decompressor
are needed to see this picture.
dynamical planen = 2
Three different types of topological objects:
1. Cantor Necklaces
QuickTime™ and a decompressor
are needed to see this picture.
dynamical planen = 2
Three different types of topological objects:
1. Cantor Necklaces
QuickTime™ and a decompressor
are needed to see this picture.
dynamical planen = 2
Three different types of topological objects:
1. Cantor Necklaces
QuickTime™ and a decompressor
are needed to see this picture.QuickTime™ and a
decompressorare needed to see this picture.
dynamical plane parameter plane
n = 2
Three different types of topological objects:
2. Mandelpinski Necklaces
Infinitely many simple closed curves in the parameter planethat pass alternately through centers of “Sierpinski holes”
and centers of baby Mandelbrot sets.
Three different types of topological objects:
2. Mandelpinski Necklaces
parameter plane zoom inn = 3
QuickTime™ and a decompressor
are needed to see this picture.QuickTime™ and a
decompressorare needed to see this picture.
Three different types of topological objects:
3. CanManPinski Trees
A tree of Cantor necklaces with Mandelbrot sets interspersed between each branch
Three different types of topological objects:
3. CanManPinski Trees
parameter plane parameter plane
n = 2
QuickTime™ and a decompressor
are needed to see this picture.
QuickTime™ and a decompressor
are needed to see this picture.
Three different types of topological objects:
3. CanManPinski Trees
parameter plane parameter plane
n = 2
QuickTime™ and a decompressor
are needed to see this picture.
QuickTime™ and a decompressor
are needed to see this picture.
Dynamics of
complex and
€
J ( Fλ
)The Julia set is:The closure of the set of repelling periodic points;The boundary of the escaping orbits;The chaotic set.
€
Fλ (z) = z n + λz n
€
λ,z
€
n ≥ 2
The Fatou set is the complement of .
€
J ( Fλ
)
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
€
λ ≠ 0
€
λ = −1 / 16
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
But when , theJulia set explodes
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
€
λ ≠ 0
€
λ = −1 / 16
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
But when , theJulia set explodes
A Sierpinski curve
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
€
λ ≠ 0But when , theJulia set explodes
€
λ = −0 . 01
Another Sierpinski curve
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
When , the Julia set is the unit circle
€
λ = 0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ = 0
€
F λ ( z ) = z2
+λ
z2
€
λ ≠ 0But when , theJulia set explodes
€
λ = −0 . 2
Also a Sierpinski curve
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
When , the Julia set is the unit circle
€
λ = 0
A Sierpinski curve is any planar set that is homeomorphic to the Sierpinski carpet fractal.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
The Sierpinski Carpet
Sierpinski Curve
Easy computations:
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
Fλ (z ) = z 3 +λz 3
€
λ=.036+.026i
2n free critical points
€
cλ = λ1/2n
Easy computations:
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ=.036+.026i
2n free critical points
€
cλ = λ1/2n€
Fλ (z ) = z 3 +λz 3
Easy computations:
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ=.036+.026i
2n free critical points
€
cλ = λ1/2n
Only 2 critical values
€
vλ = ±2 λ
€
Fλ (z ) = z 3 +λz 3
Easy computations:
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ=.036+.026i
2n free critical points
€
cλ = λ1/2n
Only 2 critical values
€
vλ = ±2 λ
€
Fλ (z ) = z 3 +λz 3
Easy computations:
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ=.036+.026i
2n free critical points
€
cλ = λ1/2n
Only 2 critical values
€
vλ = ±2 λ
€
Fλ (z ) = z 3 +λz 3
Easy computations:
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ=.036+.026i
2n free critical points
€
cλ = λ1/2n
Only 2 critical values
€
vλ = ±2 λ
But really only 1 freecritical orbit since
the map has 2n-foldsymmetry
€
Fλ (z ) = z 3 +λz 3
Easy computations:
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ=.036+.026i
is superattracting, so have immediate basin Bmapped n-to-1 to itself.
€
∞ B€
Fλ (z ) = z 3 +λz 3
Easy computations:
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ=.036+.026i
is superattracting, so have immediate basin Bmapped n-to-1 to itself.
B
T
€
Fλ (z ) = z 3 +λz 3
€
∞
0 is a pole, so havetrap door T mapped
n-to-1 to B.
Easy computations:
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ=.036+.026i
is superattracting, so have immediate basin Bmapped n-to-1 to itself.
B
0 is a pole, so havetrap door T mapped
n-to-1 to B.
T
€
Fλ (z ) = z 3 +λz 3
€
∞
So any orbit that eventuallyenters B must do so by
passing through T.
The Escape Trichotomy
€
v λ ∈
€
J ( Fλ
)
€
⇒B
€
⇒
€
⇒
is a Cantor set
T
€
v λ ∈ is a Cantor set ofsimple closed curves
€
J ( Fλ
)
€
Fλk(v λ ) ∈ T
€
J ( Fλ
) is a Sierpinski curve
There are three distinct ways the critical orbit can enter B:
(this case does not occur if n = 2)
(with Dan Look & David Uminsky)
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
v λ ∈
€
J ( Fλ
)
€
⇒B is a Cantor set
parameter planewhen n = 3
Case 1:
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
v λ ∈
€
J ( Fλ
)
€
⇒B is a Cantor set
parameter planewhen n = 3
J is a Cantor set
€
λ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
v λ ∈
€
J ( Fλ
)
€
⇒B is a Cantor set
parameter planewhen n = 3
J is a Cantor set
€
λ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
v λ ∈
€
J ( Fλ
)
€
⇒B is a Cantor set
parameter planewhen n = 3
J is a Cantor set
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
v λ ∈
€
J ( Fλ
)
€
⇒B is a Cantor set
parameter planewhen n = 3
J is a Cantor set
€
λ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
v λ ∈
€
J ( Fλ
)
€
⇒B is a Cantor set
parameter planewhen n = 3
J is a Cantor set
€
λ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
v λ ∈
€
J ( Fλ
)
€
⇒B is a Cantor set
parameter planewhen n = 3
J is a Cantor set
€
λ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
v λ ∈
€
J ( Fλ
)
€
⇒B is a Cantor set
parameter planewhen n = 3
J is a Cantor set
€
λ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
v λ ∈
€
J ( Fλ
)
€
⇒B is a Cantor set
parameter planewhen n = 3
J is a Cantor set
€
λ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
v λ ∈
€
J ( Fλ
)
€
⇒B is a Cantor set
parameter planewhen n = 3
J is a Cantor set
€
λ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
v λ ∈
€
J ( Fλ
)
€
⇒B is a Cantor set
parameter planewhen n = 3
J is a Cantor set
€
λ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
v λ ∈
€
J ( Fλ
)
€
⇒B is a Cantor set
parameter planewhen n = 3
J is a Cantor set
€
λ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
v λ ∈
€
J ( Fλ
)
€
⇒B is a Cantor set
parameter planewhen n = 3
J is a Cantor set
€
λ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
parameter planewhen n = 3
Case 2: the critical values lie in T, not B
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
v λ ∈
€
⇒T
parameter planewhen n = 3
€
λ lies in the McMullen domain
€
λ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
v λ ∈
€
⇒T
parameter planewhen n = 3
J is a Cantor set of simple closed curves
€
λ lies in the McMullen domain
€
λQuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
Remark: There is no McMullen domain in the case n = 2.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
v λ ∈
€
⇒T
parameter planewhen n = 3
J is a Cantor set of simple closed curves
€
λ lies in the McMullen domain
€
λQuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
v λ ∈
€
⇒T
parameter planewhen n = 3
J is a Cantor set of simple closed curves
€
λ lies in the McMullen domain
€
λQuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
v λ ∈
€
⇒T
parameter planewhen n = 3
J is a Cantor set of simple closed curves
€
λ lies in the McMullen domain
€
λQuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
v λ ∈
€
⇒T
parameter planewhen n = 3
J is a Cantor set of simple closed curves
€
λ lies in the McMullen domain
€
λQuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
v λ ∈
€
⇒T
parameter planewhen n = 3
J is a Cantor set of simple closed curves
€
λ lies in the McMullen domain
€
λQuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
v λ ∈
€
⇒T
parameter planewhen n = 3
J is a Cantor set of simple closed curves
€
λ lies in the McMullen domain
€
λQuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
⇒T
parameter planewhen n = 3
€
λ lies in a Sierpinski hole
€
Fλk(v λ ) ∈
Case 3: the critical orbit eventually lands in the trap door.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
⇒T
parameter planewhen n = 3
J is a Sierpinski curve
€
λ lies in a Sierpinski hole
€
λ
€
Fλk(v λ ) ∈
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
⇒T
parameter planewhen n = 3
J is a Sierpinski curve
€
λ lies in a Sierpinski hole
€
λ
€
Fλk(v λ ) ∈
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
⇒T
parameter planewhen n = 3
J is a Sierpinski curve
€
λ lies in a Sierpinski hole
€
λ
€
Fλk(v λ ) ∈
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
⇒T
parameter planewhen n = 3
J is a Sierpinski curve
€
λ lies in a Sierpinski hole
€
λ
€
Fλk(v λ ) ∈
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
⇒T
parameter planewhen n = 3
J is a Sierpinski curve
€
λ lies in a Sierpinski hole
€
λ
€
Fλk(v λ ) ∈
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
⇒T
parameter planewhen n = 3
J is a Sierpinski curve
€
λ lies in a Sierpinski hole
€
λ
€
Fλk(v λ ) ∈
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
⇒T
parameter planewhen n = 3
J is a Sierpinski curve
€
λ lies in a Sierpinski hole
€
λ
€
Fλk(v λ ) ∈
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
⇒T
parameter planewhen n = 3
J is a Sierpinski curve
€
λ lies in a Sierpinski hole
€
λ
€
Fλk(v λ ) ∈
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
⇒T
parameter planewhen n = 3
J is a Sierpinski curve
€
λ lies in a Sierpinski hole
€
λ
€
Fλk(v λ ) ∈
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
⇒T
parameter planewhen n = 3
J is a Sierpinski curve
€
λ lies in a Sierpinski hole
€
λ
€
Fλk(v λ ) ∈
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
⇒T
parameter planewhen n = 3
J is a Sierpinski curve
€
λ lies in a Sierpinski hole
€
λ
€
Fλk(v λ ) ∈
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
1. Cantor necklaces in thedynamical and parameter plane
The Cantor necklace is homeomorphic to the Cantor middle thirds set with
open disks replacing removed intervals.
1. Cantor necklaces in thedynamical and parameter plane
Julia set n = 2λ = -0.23
QuickTime™ and a decompressor
are needed to see this picture.
The Cantor necklace is homeomorphic to the Cantor middle thirds set with
open disks replacing removed intervals.
1. Cantor necklaces in thedynamical and parameter plane
parameter plane n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
The Cantor necklace is homeomorphic to the Cantor middle thirds set with
open disks replacing removed intervals.
Dynamical plane: n = 2
Suppose B and T are disjoint.
B
T
Dynamical plane: n = 2
Four critical points
λ1/4
Dynamical plane: n = 2
And two critical valuesthat do not lie in T
2λ1/2
Dynamical plane: n = 2
The critical lines...
Dynamical plane: n = 2
are mapped two-to-one toone of two critical value rays
So the sectors S0 and S1 are mappedone-to-one to C - {critical value rays)
S1 S0
And the regions I0 - T and I1 - T are mapped
one-to-one to C - B - {critical value rays)
Dynamical plane: n = 2
I1 I0
And the regions I0 - T and I1 - T are mapped
one-to-one to C - B - {critical value rays)
Dynamical plane: n = 2
Dynamical plane: n = 2
I1 I0
So consider the bow-tie I0 T I1
T
Dynamical plane: n = 2
I1 I0
Both I0 and I1 are mapped one-to-oneover the entire bow-tie I0 T I1
T
Dynamical plane: n = 2
So we have a preimage of the bow-tie inside each of I0 and I1
T
Dynamical plane: n = 2
Then a second preimage, etc., etc.
T
Dynamical plane: n = 2
The points whose orbits stay in I0 I1 form a Cantor set, and the preimages of T give the adjoined disks.
T
Dynamical plane: n = 2
The points whose orbits stay in I0 I1 form a Cantor set, and the preimages of T give the adjoined disks.
QuickTime™ and a decompressor
are needed to see this picture.
Cantor Necklaces in the Parameter Plane
€
Fλ (z) = z2 +λz2
cλ = λ1/4 vλ = 2 λ1/2 Fλ(vλ) = 1/4 + 4λ
D = {λ| |λ| < 1, Re(λ) < 0}
D
For each λ D, have a Cantor set of points inside I1
I1
I0T. . . .. ...:. ..
I1
I0T
For each λ D, have a Cantor set of points inside I1
. . . .. ...:. ..
Let zs(λ) be the point in the Cantor set with itinerary s
zs(λ)
I1
I0T
For each λ D, have a Cantor set of points inside I1
. . . .. ...:. ..
Let zs(λ) be the point in the Cantor set with itinerary s
zs(λ)
zs(λ) depends analytically on λand continuously on s
I1
I0T
For each λ D, have a Cantor set of points inside I1
. . . .. ...:. ..
Let zs(λ) be the point in the Cantor set with itinerary s
zs(λ)
and zs(λ) lies in the half-diskH given by |z| < 2, Re(z) < 0
H
zs(λ) depends analytically on λand continuously on s
So have an analytic map λ zs(λ) that takes D into H
zs(λ)
DH
So have an analytic map λ zs(λ) that takes D into H
zs(λ)
DH
Have another map λ G(λ) = Fλ(vλ) = 1/4 + 4λ which maps D over a larger half disk containing H
G(λ)
So have an analytic map λ zs(λ) that takes D into H
zs(λ)
DH
Have another map λ G(λ) = Fλ(vλ) = 1/4 + 4λ which maps D over a larger half disk containing H
G-1
But G is invertible.
So have an analytic map λ zs(λ) that takes D into H
zs(λ)
DH
Have another map λ G(λ) = Fλ(vλ) = 1/4 + 4λ which maps D over a larger half disk containing H
G-1
But G is invertible. So G-1(zs(λ)) maps D strictly inside itself.
zs(λ)
DH
G-1
By the Schwarz Lemma, for each itinerary s there is a unique fixed point λs for the map G-1(zs(λ)).
λs
zs(λ)
DH
This is a parameter for which G(λs) = zs(λs),i.e., the second iterate of the critical points lands
on a point in the Cantor set portion of the Cantor necklace.
G-1
By the Schwarz Lemma, for each itinerary s there is a unique fixed point λs for the map G-1(zs(λ)).
λs
zs(λs)
zs(λ)
DH
G-1
So the points λs for each s give aCantor set of points in the parameter plane.
λs
zs(λs)
zs(λ)
DH
G-1
So the points λs for each s give aCantor set of points in the parameter plane.
λs
Similar arguments involving Böttcher coordinates onand itineraries of preimages of the trap door
then append the Sierpinski holes to the necklace.
zs(λs)
QuickTime™ and a decompressor
are needed to see this picture.QuickTime™ and a
decompressorare needed to see this picture.
This necklace lies along the negative real axis.
parameter plane n = 2
parameter plane n = 2
There are lots of other Cantornecklaces in the parameter planes.
QuickTime™ and a decompressor
are needed to see this picture.
parameter plane n = 2
There are lots of other Cantornecklaces in the parameter planes.
QuickTime™ and a decompressor
are needed to see this picture.
parameter plane n = 2
There are lots of other Cantornecklaces in the parameter planes.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
parameter plane n = 2
There are lots of other Cantornecklaces in the parameter planes.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
When n > 2, get more complicated Cantor webscase n = 3:
When n > 2, get more complicated Cantor webscase n = 3:
When n > 2, get more complicated Cantor webscase n = 3:
When n > 2, get more complicated Cantor webscase n = 3:
When n > 2, get more complicated Cantor webscase n = 3:
Continue in this wayand then adjoin
Cantor sets
QuickTime™ and a decompressor
are needed to see this picture.QuickTime™ and a
decompressorare needed to see this picture.
Parameter plane n = 3Dynamical plane
QuickTime™ and a decompressor
are needed to see this picture.QuickTime™ and a
decompressorare needed to see this picture.
Parameter plane n = 3Dynamical plane
QuickTime™ and a decompressor
are needed to see this picture.
Parameter plane n = 3
QuickTime™ and a decompressor
are needed to see this picture.
Dynamical plane
QuickTime™ and a decompressor
are needed to see this picture.
Parameter plane n = 3
QuickTime™ and a decompressor
are needed to see this picture.
Dynamical plane
QuickTime™ and a decompressor
are needed to see this picture.
Parameter plane n = 3Dynamical plane
QuickTime™ and a decompressor
are needed to see this picture.
Parameter plane n = 3
QuickTime™ and a decompressor
are needed to see this picture.
Cantor webs in the parameter plane
Parameter plane n = 3
Cantor webs in the parameter plane
QuickTime™ and a decompressor
are needed to see this picture.
Parameter plane n = 3
Cantor webs in the parameter plane
QuickTime™ and a decompressor
are needed to see this picture.QuickTime™ and a
decompressorare needed to see this picture.
Parameter plane
Parameter plane n = 3
Cantor webs in the parameter plane
QuickTime™ and a decompressor
are needed to see this picture.QuickTime™ and a
decompressorare needed to see this picture.
Parameter plane
Parameter plane n = 3
Cantor webs in the parameter plane
QuickTime™ and a decompressor
are needed to see this picture.QuickTime™ and a
decompressorare needed to see this picture.
Parameter plane
Parameter plane n = 4
Different Cantor webs when n = 4
Dynamical plane
QuickTime™ and a decompressor
are needed to see this picture.
QuickTime™ and a decompressor
are needed to see this picture.
Part 2: Mandelpinski Necklaces
Parameter plane for n = 3
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A “Mandelpinski necklace” is a simple closed curve in the parameter plane that passes alternately through k centersof baby Mandelbrot sets and k centers of Sierpinski holes.
Parameter plane for n = 3
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A “Mandelpinski necklace” is a simple closed curve in the parameter plane that passes alternately through k centersof baby Mandelbrot sets and k centers of Sierpinski holes.
C1 passes through thecenters of 2 M-sets
and 2 S-holes
Easy check: C1 is the circle r = 2-2n/n-1
Parameter plane for n = 3
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A “Mandelpinski necklace” is a simple closed curve in the parameter plane that passes alternately through k centersof baby Mandelbrot sets and k centers of Sierpinski holes.
Parameter plane for n = 3
A “Mandelpinski necklace” is a simple closed curve in the parameter plane that passes alternately through k centersof baby Mandelbrot sets and k centers of Sierpinski holes.
C2 passes through thecenters of 4 M-sets
and 4 S-holesQuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
*
* only exception:2 centers of period 2 bulbs, not M-sets
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A “Mandelpinski necklace” is a simple closed curve in the parameter plane that passes alternately through k centersof baby Mandelbrot sets and k centers of Sierpinski holes.
Parameter plane for n = 3
C3 passes through thecenters of 10 M-sets
and 10 S-holes
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A “Mandelpinski necklace” is a simple closed curve in the parameter plane that passes alternately through k centersof baby Mandelbrot sets and k centers of Sierpinski holes.
Parameter plane for n = 3
C4 passes through thecenters of 28 M-sets
and 28 S-holes
A “Mandelpinski necklace” is a simple closed curve in the parameter plane that passes alternately through k centersof baby Mandelbrot sets and k centers of Sierpinski holes.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
Parameter plane for n = 3
C5 passes through thecenters of 82 M-sets
and 82 S-holes
Theorem: There exist closed curves Cj, surrounding the McMullen domain. Each Cj passes
alternately through (n-2)nj-1 +1 centers of baby Mandelbrot sets and centers of Sierpinski holes.€
j = 1,...,∞
C14 passes through thecenters of 4,782,969 M-sets and S-holesQuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
Parameter plane for n = 3
Theorem: There exist closed curves Cj, surrounding the McMullen domain. Each Cj passes
alternately through (n-2)nj-1 +1 centers of baby Mandelbrot sets and centers of Sierpinski holes.€
j = 1,...,∞
Parameter plane for n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
C1: 3 holes and M-sets
Theorem: There exist closed curves Cj, surrounding the McMullen domain. Each Cj passes
alternately through (n-2)nj-1 +1 centers of baby Mandelbrot sets and centers of Sierpinski holes.€
j = 1,...,∞
Parameter plane for n = 4
C2: 9 holes and M-setsC3: 33 holes and M-setsQuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
Theorem: There exist closed curves Cj, surrounding the McMullen domain. Each Cj passes
alternately through (n-2)nj-1 +1 centers of baby Mandelbrot sets and centers of Sierpinski holes.€
j = 1,...,∞
*
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
Easy computations:
€
Fλ (z ) = z 3 +λz 3
€
λ =.08i
Critical points: λ1/2n
Prepoles: (-λ)1/2n
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
Easy computations:
€
Fλ (z ) = z 3 +λz 3
€
λ =.08i
All of the criticalpoints and prepoleslie on the “criticalcircle” : |z| = | |
€
λ 1/2n
€
γ0
€
γ0
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
Fλ (z ) = z 3 +λz 3
€
λ =.08i
All of the criticalpoints and prepoleslie on the “criticalcircle” : |z| = | |
€
λ 1/2n
€
γ0
€
γ0
which is mapped 2n-to-1onto the “critical value line”
connecting
€
±vλ €
vλ
€
−vλ
Easy computations:
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
Fλ (z ) = z 3 +λz 3
€
λ =.08i
€
γ0
€
vλ
Any other circle around 0is mapped n-to-1 to an ellipse
whose foci are
€
±2 λ
Easy computations:
€
−vλ
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
Fλ (z ) = z 3 +λz 3
€
λ =.08i
€
γ0
€
vλ
€
±2 λ
Easy computations:
€
−vλ
Any other circle around 0is mapped n-to-1 to an ellipse
whose foci are
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
Fλ (z ) = z 3 +λz 3
€
λ =.08i
€
γ0
€
vλ
€
±2 λ
So the exterior of is mapped as an n-to-1 covering of the
exterior of the critical value line. €
γ0
Easy computations:
€
−vλ
Any other circle around 0is mapped n-to-1 to an ellipse
whose foci are
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
Fλ (z ) = z 3 +λz 3
€
λ =.08i
€
γ0
€
vλ
€
±2 λ
So the exterior of is mapped as an n-to-1 covering of the
exterior of the critical value line. Same with the interior of . €
γ0
€
γ0
Easy computations:
€
−vλ
Any other circle around 0is mapped n-to-1 to an ellipse
whose foci are
Now assume that lies inside the critical circle:
€
±vλ
€
γ0€
vλ
€
−vλ
Warning: this is not a real proof....
€
γ0
Now assume that lies inside the critical circle:
€
±vλ
The exterior of is mapped n-to-1onto the exterior of the critical value ray, so there is a preimage mapped n-to-1 to , €
γ0
€
γ0
€
γ1
€
vλ
€
−vλ
Now assume that lies inside the critical circle:
€
±vλ
€
γ0€
vλ
€
−vλ
€
γ1
The exterior of is mapped n-to-1onto the exterior of the critical value ray, so there is a preimage mapped n-to-1 to , €
γ0
€
γ0
€
γ1
then is mapped n-to-1 to ,
€
γ1
Now assume that lies inside the critical circle:
€
±vλ
€
γ2
€
γ0€
vλ
€
−vλ
€
γ1
€
γ2
The exterior of is mapped n-to-1onto the exterior of the critical value ray, so there is a preimage mapped n-to-1 to , €
γ0
€
γ0
€
γ1
and on and onout to
€
∂B
Now assume that lies inside the critical circle:
€
±vλ
then is mapped n-to-1 to ,
€
γ1
€
γ0€
vλ
€
−vλ
€
γ1
€
γ2
B
The exterior of is mapped n-to-1onto the exterior of the critical value ray, so there is a preimage mapped n-to-1 to , €
γ0
€
γ0
€
γ1
€
γ2
€
γ0 contains 2n critical points and 2n prepoles, so
€
γ1 contains 2n2 pre-critical points and pre-prepoles
€
γ0€
vλ
€
−vλ
€
γ1
€
γ0 contains 2n critical points and 2n prepoles, so
€
γ1 contains 2n2 pre-critical points and pre-prepoles
€
γ0€
vλ
€
−vλ
€
γ1
€
γ2
B
€
γk contains 2nk+1 points thatmap to the critical pointsand pre-prepoles under
€
Fλk
€
γ0 contains 2n critical points and 2n prepoles, so
€
γ1 contains 2n2 pre-critical points and pre-prepoles
€
γk contains 2nk+1 points thatmap to the critical pointsand pre-prepoles under
€
Fλk
n = 3
QuickTime™ and a decompressor
are needed to see this picture.
€
γ0 contains 2n critical points and 2n prepoles, so
€
γ1 contains 2n2 pre-critical points and pre-prepoles
€
γk contains 2nk+1 points thatmap to the critical pointsand pre-prepoles under
€
Fλk
n = 3
QuickTime™ and a decompressor
are needed to see this picture.
€
γ0 contains 2n critical points and 2n prepoles, so
€
γ1 contains 2n2 pre-critical points and pre-prepoles
€
γk contains 2nk+1 points thatmap to the critical pointsand pre-prepoles under
€
Fλk
n = 3
QuickTime™ and a decompressor
are needed to see this picture.
€
γ0€
vλ
€
−vλ
€
γk
As rotates by one turn, these 2nk+1 points on each rotate by 1/2nk+1 of a turn.
€
γk
€
λ
€
γ0€
vλ
€
−vλ
€
γk
Since
the second iterate of the criticalpoints rotate by 1 - n/2 ofa turn
As rotates by one turn, these 2nk+1 points on each rotate by 1/2nk+1 of a turn.
€
γk
€
λ
€
Fλ (vλ ) = 2nλn /2 +λ
2nλn /2 ≈12nλ1−n /2
€
γ0€
vλ
€
−vλ
€
γk
€
Fλ (vλ ) = 2nλn /2 +λ
2nλn /2 ≈12nλ1−n /2
Since
the second iterate of the criticalpoints rotate by 1 - n/2 ofa turn, so this point hitsexactly
€
(n /2 −1)(2nk+1) +1 = (n − 2)nk+1 +1
preimages of the critical pointsand prepoles on
€
γk
As rotates by one turn, these 2nk+1 points on each rotate by 1/2nk+1 of a turn.
€
γk
€
λ
There is a natural parametrization of each
€
γk
€
γkλ (θ )
€
γ0€
vλ
€
−vλ
€
γk
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
γkλ (θ )
The real proof involves the Schwarz Lemma (as before):
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
There is a natural parametrization of each
€
γk
€
γkλ (θ )
The real proof involves the Schwarz Lemma (as before):
€
γ0€
vλ
€
−vλ
€
γk
€
γkλ (θ )
Best to restrict to a “symmetry region” inside the circle C1, so that is well-defined.
€
γkλ (θ )
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
γ0€
vλ
€
−vλ
€
γk
€
γkλ (θ )
Best to restrict to a “symmetry region” inside the circle C1, so that is well-defined.
Then we have a second map from the parameter plane to thedynamical plane, namely which is invertible on the symmetry sector
€
G(λ ) = Fλ (vλ )
€
G−1
€
γkλ (θ )
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
γ0€
vλ
€
−vλ
€
γk
€
γkλ (θ )
Then we have a second map from the parameter plane to thedynamical plane, namely which is invertible on the symmetry sector
€
G(λ ) = Fλ (vλ )
€
G−1(γ kλ (θ ) )
a map from a “disk” to itself.
So consider the composition€
G−1
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
γ0€
vλ
€
−vλ
€
γk
€
γkλ (θ )
€
G−1(γ kλ (θ ) )
a map from a “disk” to itself.
So consider the composition
Schwarz implies that has a unique fixed point,i.e., a parameter for which the second iterate of the criticalpoint lands on the point , so this proves theexistence of lots of parameters for which the critical orbits are periodic and land on 0.
€
G−1(γ kλ (θ ) )
€
γkλ (θ )
€
G−1
Remarks:
1. This proves the existence of centers of Sierpinski holes and Mandelbrot sets. Producingthe entire M-set involves polynomial-like maps;while the entire S-hole involves qc-surgery.
Remarks:
1. This proves the existence of centers of Sierpinski holes and Mandelbrot sets. Producingthe entire M-set involves polynomial-like maps;while the entire S-hole involves qc-surgery.
2. It is known that each S-hole in the Mandelpinskinecklace is also surrounded by infinitely many sub-necklaces, which in turn are surrounded bysub-sub-necklaces, etc.
QuickTime™ and a decompressor
are needed to see this picture.QuickTime™ and a
decompressorare needed to see this picture.
n = 3
3. CanManPinski Trees
A tree of Cantor necklaces with Mandelbrot sets interspersed between each branch
parameter plane parameter plane
QuickTime™ and a decompressor
are needed to see this picture.
QuickTime™ and a decompressor
are needed to see this picture.
n = 2
Dynamical plane: n = 2
I1
I0
Recall that we have a Cantor necklace in the dynamical plane lying in I0 T I1
Dynamical plane: n = 2
I1
I0
The regions I2 and I3 are mapped one-to-one overI0 T I1, so there are Cantor necklaces in I2 and I3
I2
I3
Dynamical plane: n = 2
I1
I0
I2
I3
The regions I2 and I3 are mapped one-to-one overI0 T I1, so there are Cantor necklaces in I2 and I3
This necklace is mapped one-to-one ontothe original necklace.
This necklace is mapped one-to-one ontothe original necklace.
And so is the bottom necklace
S2
S0
S1
S3
Now consider the regions Sj.
S2
S0
S1
S3
Now consider the regions Sj.
S0 is mapped two-to-one onto S0 S1
S2
S0
S1
S3
Now consider the regions Sj.
S0 is mapped two-to-one onto S0 S1
Similarly, S1 S2 S3,S2 S0 S1
and S3 S2 S3
S2
S0
S1
S3
Assuming λ lies in the upper half plane, the critical values ±vλ lie in S0 and S2 (easy check)
vλ
-vλ
S2
S0
S1
S3
Assuming λ lies in the upper half plane, the critical values ±vλ lie in S0 and S2 (easy check)So there is a region in S3 mapped one-to-one ontoS3.
vλ
-vλ
S2
S0
S1
S3
So there is a preimage of this Cantor necklace in S3
vλ
-vλ
S2
S0
S1
S3
So there is a preimage of this Cantor necklace in S3,
vλ
-vλ
S2
S0
S1
S3
So there is a preimage of this Cantor necklace in S3,and then another preimage,
vλ
-vλ
S2
S0
S1
S3
So there is a preimage of this Cantor necklace in S3,and then another preimage, and so on, yielding infinitelymany necklaces eventually mapping to the original necklace. Looking like branchesof a tree....
vλ
-vλ
S2
S0
S1
S3
By symmetry, we have similar branches in S1
vλ
-vλ
S2
S0
S1
S3
By symmetry, we have similar branches in S1, S0,
S2
S0
S1
S3
By symmetry, we have similar branches in S1, S0, and S2
This produces trees of Cantor necklaces in the dynamical plane
QuickTime™ and a decompressor
are needed to see this picture.
This produces trees of Cantor necklaces in the dynamical plane
Assuming λ is in the upper half plane, we can again use G(λ) = 1/4 + 4 λ and an appropriate coding of points in the necklace, and then the Schwarz Lemma produces a similar
tree in the upper half of the parameter plane.
QuickTime™ and a decompressor
are needed to see this picture.
Symmetry under complex conjugation yields a similar tree in the lower half-plane.
QuickTime™ and a decompressor
are needed to see this picture.
Then polynomial-like map theory produces a Mandelbrot set in each region in between the branches.
QuickTime™ and a decompressor
are needed to see this picture.
Open problems:
Can we use these trees to give a complete map of the Sierpinski-hole regions and buried parameters in the parameter planes?
Same question for the baby Mandelbrot sets.
Using “Yoccoz puzzles,” do these trees allow us tosee that the boundary of the parameter plane locusis a simple closed curve?
Open problems:
Can we use these trees to give a complete map of the Sierpinski-hole regions and buried parameters in the parameter planes?
Same question for the baby Mandelbrot sets.
Using “Yoccoz puzzles,” do these trees allow us tosee that the boundary of the parameter plane locusis a simple closed curve?
Would it be better to call these thingsCantormandelbrotsierpinski trees?
Open problems:
Can we use these trees to give a complete map of the Sierpinski-hole regions and buried parameters in the parameter planes?
Same question for the baby Mandelbrot sets.
Using “Yoccoz puzzles,” do these trees allow us tosee that the boundary of the parameter plane locusis a simple closed curve?
Would it be better to call these thingsCantormandelbrotsierpinski trees?
Who the hell is this?
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
Quick
Tim
e™ a
nd a
TIFF
(LZW
) dec
ompr
esso
rar
e ne
eded
to se
e th
is pi
ctur
e.Parameter plane (rotated)
when n = 2
Other topics:
Main cardioid of a buried baby M-set
Perturbed rabbit
Convergence to the unit disk
Major application
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A Sierpinski curve, but very different dynamically from the earlier ones.
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A Sierpinski curve, but very different dynamically from the earlier ones.
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A Sierpinski curve, but very different dynamically from the earlier ones.
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A Sierpinski curve, but very different dynamically from the earlier ones.
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A Sierpinski curve, but very different dynamically from the earlier ones.
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A Sierpinski curve, but very different dynamically from the earlier ones.
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A Sierpinski curve, but very different dynamically from the earlier ones.
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A Sierpinski curve, but very different dynamically from the earlier ones.
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A Sierpinski curve, but very different dynamically from the earlier ones.
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A Sierpinski curve, but very different dynamically from the earlier ones.
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A Sierpinski curve, but very different dynamically from the earlier ones.
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A Sierpinski curve, but very different dynamically from the earlier ones.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
n = 4
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
A Sierpinski curve, but very different dynamically from the earlier ones.
If λ lies in the main cardioid of a buried Mandelbrot set, then again the Julia set is a Sierpinski curve.
Consider the family of maps
where c is the center of a hyperbolic component of the Mandelbrot set.
€
Fλ (z) = zn + c+ λzn
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ =0
€
c = −1
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
Consider the family of maps
where c is the center of a hyperbolic component of the Mandelbrot set.
€
Fλ (z) = zn + c+ λzn
€
c = −.12 +.75i
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
λ =0
Consider the family of maps
where c is the center of a hyperbolic component of the Mandelbrot set.
€
Fλ (z) = zn + c+ λzn
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
λ ≠0, the Julia set again expodes.When
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
λ ≠0, the Julia set again expodes.When
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ ≠0, the Julia set again expodes.When
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ ≠0, the Julia set again expodes.When
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ ≠0, the Julia set again expodes.When
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
A doubly-invertedDouady rabbit.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
If you chop off the “ears” of each internal rabbit in each component of the original Julia set, then what’s left is another Sierpinski curve (provided that both of the critical orbits eventually escape).
The case n = 2 is very different from (and much more difficult than) the case n > 2.
n = 3 n = 2
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
One difference: there is a McMullen domain whenn > 2, but no McMullen domain when n = 2
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
n = 3 n = 2
One difference: there is a McMullen domain whenn > 2, but no McMullen domain when n = 2
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
n = 3 n = 2
There is lots of structure when n > 2, but what is going on when n = 2?
n = 3 n = 2
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
There is lots of structure when n > 2, but what is going on when n = 2?
n = 3 n = 2
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
There is lots of structure when n > 2, but what is going on when n = 2?
n = 3 n = 2
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
Also, not much is happening for the Julia sets near 0 when n > 2
n = 3
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ =.01
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
The Julia set is always aCantor set of circles.
n = 3
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.QuickTime™ and a
TIFF (LZW) decompressorare needed to see this picture.
€
λ =.0001
n = 3
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
The Julia set is always aCantor set of circles.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ =.000001
The Julia set is always aCantor set of circles.
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ =.000001
There is always a round annulus of some fixed width in the Fatou set,
so the Julia set does not convergeto the unit disk.
n = 2
But when n = 2, lots of things happen near the origin;in fact, the Julia sets converge to the unit disk as
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
€
λ → 0
disk-converge
Here’s the parameter plane when n = 2:
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.
Quick
Tim
e™ a
nd a
TIFF
(LZW
) dec
ompr
esso
rar
e ne
eded
to se
e th
is pi
ctur
e.
Rotate it by 90 degrees:
and this object appears everywhere.....
QuickTime™ and aTIFF (LZW) decompressor
are needed to see this picture.