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Including Complex Dynamics in Complex Analysis Courses

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Presentation on theme: "Including Complex Dynamics in Complex Analysis Courses"— Presentation transcript:

1 Including Complex Dynamics in Complex Analysis Courses
Mandelbrot and Julia sets

2 Benefits: Introduces “modern” topics in mathematics into the course
Illustrates different ways to use complex analysis “tools”

3 Topics: Mandelbrot set (complex square roots) Attracting cycles (Schwarz Lemma) Understanding chaos (rational maps) Exponential dynamics (geometry of exp(z))

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17 Begin by recalling iteration
Start with a function: 2 x constant and a seed: x0

18 Then iterate: x = x + constant x = x + constant x = x + constant
2 x = x constant 1 2 x = x constant 2 1 Orbit of x 2 x = x constant 3 2 2 x = x constant 4 3 etc. Goal: understand the fate of orbits.

19 Example: x + 1 Seed 0 x = 0 x = 1 x = 2 x = 5 x = 26 x = big
x = 1 1 x = 2 2 x = 5 “Orbit tends to infinity” 3 x = 26 4 x = big 5 x = BIGGER 6

20 Example: x + 0 Seed 0 x = 0 x = 0 x = 0 x = 0 x = 0 x = 0 x = 0
2 Example: x Seed 0 x = 0 x = 0 1 x = 0 2 “A fixed point” x = 0 3 x = 0 4 x = 0 5 x = 0 6

21 Example: x - 1 Seed 0 x = 0 x = -1 x = 0 x = -1 x = 0 x = -1 x = 0
2 Example: x Seed 0 x = 0 x = -1 1 x = 0 2 x = -1 “A two- cycle” 3 x = 0 4 x = -1 5 x = 0 6

22 Example: x - 1.1 Seed 0 x = 0 x = -1.1 x = 0.11 x = x = x = x =
2 Example: x Seed 0 x = 0 x = 1 x = 2 x = 3 time for the computer! x = 4 x = 5 x = 6

23 Observation Sometimes orbit of 0 goes to
infinity, other times it does not.

24 Big Question: Answer: How do we understand the chaotic
behavior that occurs? Answer: We move to the complex plane and use tools from complex analysis

25 Complex Iteration 2 Iterate z + c complex numbers

26 Example: z + i Seed 0 z = 0 z = i z = -1 + i z = -i z = -1 + i z = -i
2 Example: z + i Seed 0 z = 0 z = i 1 z = i 2 z = -i 3 z = i 4 z = -i 5 2-cycle z = i 6

27 Example: z + 2i Seed 0 z = 0 z = 2i z = -4 + 2i z = 12 - 14i
z = 2i 1 z = i 2 Off to infinity z = i 3 z = i 4 z = big 5 z = BIGGER 6

28 Same observation Sometimes orbit of 0 goes to
infinity, other times it does not.

29 The Mandelbrot Set: All c-values for which orbit
of 0 does NOT go to infinity. Why the heck do we care about the orbit of 0?

30 Why use the orbit of 0? Answer: 0 is a “critical point” So spend some time talking about behavior of complex functions near critical points (not one-to-one) and near other points (always one-to-one)

31 The Filled Julia Set: The Julia Set:
Fix a c-value. The filled Julia set is all of the complex seeds whose orbits do NOT go to infinity. The Julia Set: The boundary of the filled Julia set

32 Example: z Seed: In Filled Julia set? Yes 1 Yes -1 Yes i Yes 2i No 5
Yes 1 Yes -1 Yes i Yes 2i No 5 I doubt it...

33 The filled Julia set of z2 is the unit disk
A little complex analysis: |z| < 1: orbit of z |z| > 1: orbit of z infinity |z| = 1: orbit of z remains on the unit circle

34 The filled Julia set of z2 is the unit disk
The Julia set is the unit circle

35 Chaos occurs on the Julia set

36 Chaos occurs on the Julia set
3 nearby seeds Chaos occurs on the Julia set

37 Chaos occurs on the Julia set

38 Chaos occurs on the Julia set

39 Chaos occurs on the Julia set

40 Chaos occurs on the Julia set

41 Chaos occurs on the Julia set

42 Chaos occurs on the Julia set

43 Chaos occurs on the Julia set

44 Chaos occurs on the Julia set

45 Chaos occurs on the Julia set

46 Chaos occurs on the Julia set

47 Chaos occurs on the Julia set

48 Nearby orbits on the Julia set have vastly different behavior

49 i.e., the map just doubles angles
On the Julia set the map is ei e2i i.e., the map just doubles angles

50 On the Julia set the map is ei e2i
1/5 Rational angles on the Julia set are eventually periodic.

51 Rational angles on the Julia set are eventually periodic.
1/5 2/5 Rational angles on the Julia set are eventually periodic.

52 Rational angles on the Julia set are eventually periodic.
1/5 2/5 4/5 Rational angles on the Julia set are eventually periodic.

53 Rational angles on the Julia set are eventually periodic.
1/5 2/5 3/5 4/5 Rational angles on the Julia set are eventually periodic.

54 Rational angles on the Julia set are eventually periodic.
1/5 2/5 3/5 4/5 Rational angles on the Julia set are eventually periodic.

55 Rational angles on the Julia set are eventually periodic.
1/5 2/5 3/5 4/5 Rational angles on the Julia set are eventually periodic.

56 Rational angles on the Julia set are eventually periodic.
1/5 2/5 3/5 4/5 Rational angles on the Julia set are eventually periodic.

57 Rational angles on the Julia set are eventually periodic.
1/5 2/5 3/5 4/5 Rational angles on the Julia set are eventually periodic.

58 But irrational angles on the Julia set are very different.

59 But irrational angles on the Julia set are very different.

60 But irrational angles on the Julia set are very different.

61 But irrational angles on the Julia set are very different.

62 But irrational angles on the Julia set are very different.

63 But irrational angles on the Julia set are very different.

64 But irrational angles on the Julia set are very different.

65 But irrational angles on the Julia set are very different.

66 But irrational angles on the Julia set are very different.

67 Irrational angles have orbits that are dense on the circle.

68 So why do we use the orbit of 0 to plot the Mandelbrot set?
The orbit of the critical point knows “everything!”

69 So why do we use the orbit of 0 to plot the Mandelbrot set?
The orbit of the critical point knows “everything!” To see this, we need the geometry of complex square roots

70 The square root of a circle (s.c.c.)
that does not surround the origin.... i 1

71 is a pair of s.c.c.’s that do not
The square root of a circle (s.c.c.) that does not surround the origin.... i z z2 1 is a pair of s.c.c.’s that do not surround the origin

72 The square root of a circle (s.c.c.) that touches the origin....
1

73 The square root of a circle (s.c.c.) that touches the origin....
z z2 1 is a figure 8 that passes through the origin

74 The square root of a circle (s.c.c.) that surrounds the origin....
1

75 The square root of a circle (s.c.c.) that surrounds the origin....
z z2 1 is one s.c.c. that now surrounds the origin

76 To find the preimages of a s.c.c.
under z2 + c, we solve: so that:

77 To find the preimages of a s.c.c.
under z2 + c, we solve: so that: So to find the preimage of a s.c.c., we translate the curve by -c, then take the complex square root....

78 So now suppose the orbit of 0
escapes to infinity c

79 This large circle is mapped outside itself c

80 This large circle is mapped outside itself c

81 so all blue points escape c

82 so all blue points escape To find the preimage of this curve, subtract c and take the square root... c

83 so all blue points escape To find the preimage of this curve, subtract c and take the square root... but subtracting c means the curve still encircles 0 c

84 so all blue points escape so this is the preimage c

85 so all blue points escape so these points also escape c

86 so all blue points escape so these points also escape c

87 so all blue points escape so these points also escape as do these points c

88 so all blue points escape so these points also escape as do these points c

89 so all blue points escape so these points also escape as do these points c

90 8 so all blue points escape so these points also escape
as do these points c 8

91 Eventually 0 is in a preimage of the
See what’s happening? Eventually 0 is in a preimage of the circle, so we get a figure 8 preimage. And then..... c = .4975

92 So the filled Julia set consists of infinitely
many distinct components if 0 escapes (in fact it is a Cantor set). But when 0 does not escape, we never get a figure 8, so the filled Julia set is a connected set. That’s why the critical point “knows it all.”

93 Attracting cycles Understanding chaos Dynamics of the exponential

94 If F is complex analytic and has an
attracting cycle, then there must be a critical point inside its immediate basin of attraction. So F(z) = z2 + c can have at most one attracting cycle, and the orbit of 0 must find it.

95 Reason: suppose F has an attracting fixed point p:

96 Then there is a neighborhood U of p mapped 1-1 inside itself.

97 Then there is a neighborhood U of p mapped 1-1 inside itself.
So we have an inverse map F-1: F(U) U with a repelling fixed point at p. F-1 p U

98 Since there are no critical points in the basin, we can continue
F-1 p U

99 Since there are no critical points in
the basin, and on and on ..... F-1 p U

100 Eventually get an open disk V that is
mapped 1-1 to itself by F-1 F-1 ... p U V

101 Eventually get an open disk V that is
mapped 1-1 to itself by F-1 F-1 p V

102 But there is a repelling fixed point in V, so this can’t happen by the
Schwarz Lemma F-1 p V

103 So this begins to describe the structure of the Mandelbrot set:
each “bulb” consists of parameters for which there is an attracting cycle of some given period

104 The eventual orbit of 0 Eventual orbit

105 The eventual orbit of 0 Eventual orbit

106 The eventual orbit of 0 3-cycle

107 The eventual orbit of 0 3-cycle

108 The eventual orbit of 0 3-cycle

109 The eventual orbit of 0 3-cycle

110 The eventual orbit of 0

111 The eventual orbit of 0

112 The eventual orbit of 0 4-cycle

113 The eventual orbit of 0 4-cycle

114 The eventual orbit of 0 4-cycle

115 The eventual orbit of 0 4-cycle

116 The eventual orbit of 0 4-cycle

117 The eventual orbit of 0

118 The eventual orbit of 0

119 The eventual orbit of 0 5-cycle

120 The eventual orbit of 0 5-cycle

121 The eventual orbit of 0 5-cycle

122 The eventual orbit of 0 5-cycle

123 The eventual orbit of 0 5-cycle

124 The eventual orbit of 0 5-cycle

125 The eventual orbit of 0 5-cycle

126 The eventual orbit of 0 2-cycle

127 The eventual orbit of 0 2-cycle

128 The eventual orbit of 0 2-cycle

129 The eventual orbit of 0 fixed point

130 The eventual orbit of 0 fixed point

131 The eventual orbit of 0 fixed point

132 How understand the periods of the bulbs?

133 How understand the periods of the bulbs?

134 junction point three spokes attached

135 junction point three spokes attached Period 3 bulb

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138 Period 4 bulb

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141 Period 5 bulb

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144 Period 7 bulb

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148 Period 13 bulb

149 Complex exponential dynamics
Let E (z) = exp(z) where > 0. Differences: no critical points, but one “asymptotic value” at z = 0.

150 Complex exponential dynamics
Let E (z) = exp(z) where > 0. Differences: no critical points, but one “asymptotic value” at z = 0. H is wrapped infinitely often around 0, which plays the role of the critical value H

151 Complex exponential dynamics
Let E (z) = exp(z) where > 0. Differences: no critical points, but one “asymptotic value” at z = 0. The Julia set is now the closure of the set of escaping points, not the boundary of this set

152 When 0 < < 1/e, the Julia set is
a “Cantor bouquet,” i.e., infinitely many curves extending to infinity in the right half plane.

153 0 < < 1/e

154 attracting fixed point q

155 q p repelling fixed point

156 q x0 p

157 So where is J?

158 So where is J?

159 So where is J? Green points lie in the basin of q, so not in the Julia set

160 So where is J? Green points lie in the basin of q, so not in the Julia set

161 So where is J? Green points lie in the basin of q, so not in the Julia set

162 So where is J? Green points lie in the basin of q, so not in the Julia set

163 So where is J? Green points lie in the basin of q, so not in the Julia set

164 The Julia set is a collection of curves (hairs) in the right half plane, each with an endpoint
and a stem. hairs endpoints stems

165 A “Cantor bouquet” q p

166 Colored points escape to and so are in the Julia set.
q p

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171 When = 1/e, E undergoes a “saddle node bifurcation”
but much more happens...

172 When = 1/e, E undergoes a “saddle node bifurcation”
The two fixed points on the real line disappear and the orbit of the asymptotic value now escapes....

173 And, because of this, the Julia instantaneously
becomes the entire complex plane!

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397 Replay

398 How understand the chaotic behavior?
z2 z i

399 so use that information
How understand the chaotic behavior? We understand what’s going on here, so use that information to understand what’s going on here.

400 How understand the chaotic behavior?
These angles are just rotated by z2

401 How understand the chaotic behavior?
These angles are just rotated by z2 So we can find a “conjugacy” that creates angles here that map in the same way

402 Example: z2 - 2 z2 z2 - 2 How to map the exterior of the
circle to the exterior of [-2,2]? -2 2 z2 z2 - 2

403 Consider H(z) = z + 1/z -2 2 z2 z2 - 2

404 Consider H(z) = z + 1/z H takes rays to hyperbolas -2 2 z2 z2 - 2

405 Consider H(z) = z + 1/z Well, usually that’s the case -2 2 z2 z2 - 2

406 Consider H(z) = z + 1/z z2 z2 - 2 And H takes the circle to [-2, 2] -2

407 Consider H(z) = z + 1/z z2 z2 - 2 And H takes the circle to [-2, 2]
since eit + e-it = 2 cos(t) -2 2 z2 z2 - 2

408 On the circle we have: H H On [-2,2] we have: What is this function???

409 On the circle we have: H H

410 On the circle we have: H H

411 On the circle we have: H H So this function is w w2 - 2

412 So the orbits of F(z) = z2 on the unit circle (which
we completely understand are taken to orbits of G(z) = z by the “conjugacy” H(z) = z + 1/z. z F(z) F2(z) F3(z) F4(z) ... H H H H H w G(w) G2(w) G2(w) G4(z) ... And that’s how we understand the chaotic behavior on the Julia sets.


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