SLIDE 1 From Isometric Embeddings to C1 Fractals
Francis Lazarus
CNRS, GIPSA-Lab, Grenoble
CNRS, GIPSA-Lab, Grenoble
Keith Arnold
SLIDE 2 Outline
1
Sphere Rigidity: A Paradox
SLIDE 3 Outline
1
Sphere Rigidity: A Paradox
2
Historical Background
SLIDE 4 Outline
1
Sphere Rigidity: A Paradox
2
Historical Background
3
Nash’s Isometric Embedding
SLIDE 5 Outline
1
Sphere Rigidity: A Paradox
2
Historical Background
3
Nash’s Isometric Embedding
4
Gromov’s Point of View
SLIDE 6 Outline
1
Sphere Rigidity: A Paradox
2
Historical Background
3
Nash’s Isometric Embedding
4
Gromov’s Point of View
5
Application to Isometric Embeddings
SLIDE 7 Outline
1
Sphere Rigidity: A Paradox
2
Historical Background
3
Nash’s Isometric Embedding
4
Gromov’s Point of View
5
Application to Isometric Embeddings
6
The C1 Fractal Structure
SLIDE 8
Some Good Reasons Why Spheres Are Rigid
As convex surfaces. Theorem (Cohn-Vossen (Cω) 1936 ; Herglotz (C3) 1943 ; Sacksteder (C2) 1962 ; Pogorelov ( - ), 1973) Any two isometric compact closed convex surfaces in E3 are congruent. Isometric map:
SLIDE 9 Some Good Reasons Why Spheres Are Rigid
As convex surfaces. Theorem (Cohn-Vossen (Cω) 1936 ; Herglotz (C3) 1943 ; Sacksteder (C2) 1962 ; Pogorelov ( - ), 1973) Any two isometric compact closed convex surfaces in E3 are congruent. Isometric map:
I s
é t r i e
SLIDE 10 Some Good Reasons Why Spheres Are Rigid
As convex surfaces. Theorem (Cohn-Vossen (Cω) 1936 ; Herglotz (C3) 1943 ; Sacksteder (C2) 1962 ; Pogorelov ( - ), 1973) Any two isometric compact closed convex surfaces in E3 are congruent. A counter-example:
Do Carmo
SLIDE 11 Some Good Reasons Why Spheres Are Rigid
As convex surfaces. Theorem (Cohn-Vossen (Cω) 1936 ; Herglotz (C3) 1943 ; Sacksteder (C2) 1962 ; Pogorelov ( - ), 1973) Any two isometric compact closed convex surfaces in E3 are congruent. A counter-example:
Do Carmo
Corollary The sphere has no flex: any infinitesimal isometric deformation has positive curvature, hence is a round sphere.
SLIDE 12
Some Good Reasons Why Spheres Are Rigid
As a “non-reducible” surface.
SLIDE 13
Some Good Reasons Why Spheres Are Rigid
SLIDE 14
Some Good Reasons Why Spheres Are Rigid
SLIDE 15
Some Good Reasons Why Spheres Are Rigid
SLIDE 16 Some Good Reasons Why Spheres Are Rigid
1/k
SLIDE 17 Some Good Reasons Why Spheres Are Rigid
1/k
SLIDE 18
Some Good Reasons Why Spheres Are Rigid
SLIDE 19 Some Good Reasons Why Spheres Are Rigid
THEOREMA EGREGIUM (Gauss, 1827) Isometric surfaces in E3 have the same Gaussian curvature.
I s
é t r i e
SLIDE 20
Some Good Reasons Why Spheres Are Rigid
THEOREMA EGREGIUM (Gauss, 1827) Isometric surfaces in E3 have the same Gaussian curvature.
SLIDE 21
A Paradox
Theorem (Nash 1954, Kuiper 1955) The round sphere has a C1 isometric embedding inside an arbitrarily small ball!!
SLIDE 22
A Paradox
Theorem (Nash 1954, Kuiper 1955) The round sphere has a C1 isometric embedding inside an arbitrarily small ball!! Connelly 1993 (Handbook of convex geometry) “I know of no explicit construction of such a flex or even of an explicit C1 embedding other than the original sphere.”
SLIDE 23 1
Sphere Rigidity: A Paradox
2
Historical Background
3
Nash’s Isometric Embedding
4
Gromov’s Point of View
5
Application to Isometric Embeddings
6
The C1 Fractal Structure
SLIDE 24 From Riemann to Nash
Riemann 1854 (On The Hypotheses Which Lie At The Bases Of Geometry) “. . . and consequently ds is the square root of an always positive integral homogeneous function of the second order of the quantities dx. . . ” γ(t) γ′(t) ℓ(γ) =
SLIDE 25 From Riemann to Nash
Riemann 1854 (On The Hypotheses Which Lie At The Bases Of Geometry) “. . . and consequently ds is the square root of an always positive integral homogeneous function of the second order of the quantities dx. . . ” γ(t) γ′(t) ℓ(γ) =
=
SLIDE 26
From Riemann to Nash
Riemann 1854 (On The Hypotheses Which Lie At The Bases Of Geometry) “. . . and consequently ds is the square root of an always positive integral homogeneous function of the second order of the quantities dx. . . ” γ(t) γ′(t) f(γ(t)) df · γ′(t) f ∀γ : ℓ(γ) = ℓ(f ◦ γ) ⇔ ∀u, v ∈ Tγ(t)S2 : g(u, v) = df.u, df.vE3
SLIDE 27 From Riemann to Nash
Riemann 1854 (On The Hypotheses Which Lie At The Bases Of Geometry) “. . . and consequently ds is the square root of an always positive integral homogeneous function of the second order of the quantities dx. . . ” γ(t) γ′(t) f(γ(t)) df · γ′(t) f ⇔ ∂f ∂x , ∂f ∂x
E3 = E,
∂f ∂x , ∂f ∂y
E3 = F,
∂f ∂y , ∂f ∂y
E3 = G
SLIDE 28
From Riemann to Nash
The isometric embedding problem Find f : (Mn, g) → Es s.t. ∀p ∈ M, ∀u, v ∈ TpM: g(u, v) = df.u, df.vEs, i.e. g = f ∗·, ·Es
SLIDE 29
From Riemann to Nash
The isometric embedding problem Find f : (Mn, g) → Es s.t. ∀p ∈ M, ∀u, v ∈ TpM: g(u, v) = df.u, df.vEs, i.e. g = f ∗·, ·Es 1873 Schlaefli: conjecture ∃ local C∞ isometric embedding in Es with s = n(n + 1)/2. Note that s(2) = 3.
SLIDE 30
From Riemann to Nash
The isometric embedding problem Find f : (Mn, g) → Es s.t. ∀p ∈ M, ∀u, v ∈ TpM: g(u, v) = df.u, df.vEs, i.e. g = f ∗·, ·Es 1873 Schlaefli: conjecture ∃ local C∞ isometric embedding in Es with s = n(n + 1)/2. Note that s(2) = 3. 1926-27 Janet-Cartan: C∞ → Cω.
SLIDE 31
From Riemann to Nash
The isometric embedding problem Find f : (Mn, g) → Es s.t. ∀p ∈ M, ∀u, v ∈ TpM: g(u, v) = df.u, df.vEs, i.e. g = f ∗·, ·Es 1873 Schlaefli: conjecture ∃ local C∞ isometric embedding in Es with s = n(n + 1)/2. Note that s(2) = 3. 1926-27 Janet-Cartan: C∞ → Cω. 1936 Whitney: ∃ global C∞ embedding in R2n. (no geometry)
SLIDE 32
From Riemann to Nash
The isometric embedding problem Find f : (Mn, g) → Es s.t. ∀p ∈ M, ∀u, v ∈ TpM: g(u, v) = df.u, df.vEs, i.e. g = f ∗·, ·Es 1873 Schlaefli: conjecture ∃ local C∞ isometric embedding in Es with s = n(n + 1)/2. Note that s(2) = 3. 1926-27 Janet-Cartan: C∞ → Cω. 1936 Whitney: ∃ global C∞ embedding in R2n. (no geometry) 1954 Nash: ∃ global C1 isometric embedding in Ek≥n+2 as soon as there is an embedding in Ek.
SLIDE 33
From Riemann to Nash
The isometric embedding problem Find f : (Mn, g) → Es s.t. ∀p ∈ M, ∀u, v ∈ TpM: g(u, v) = df.u, df.vEs, i.e. g = f ∗·, ·Es 1873 Schlaefli: conjecture ∃ local C∞ isometric embedding in Es with s = n(n + 1)/2. Note that s(2) = 3. 1926-27 Janet-Cartan: C∞ → Cω. 1936 Whitney: ∃ global C∞ embedding in R2n. (no geometry) 1954 Nash: ∃ global C1 isometric embedding in Ek≥n+2 as soon as there is an embedding in Ek. 1955 Kuiper: n + 2 → n + 1.
SLIDE 34
From Riemann to Nash
The isometric embedding problem Find f : (Mn, g) → Es s.t. ∀p ∈ M, ∀u, v ∈ TpM: g(u, v) = df.u, df.vEs, i.e. g = f ∗·, ·Es 1873 Schlaefli: conjecture ∃ local C∞ isometric embedding in Es with s = n(n + 1)/2. Note that s(2) = 3. 1926-27 Janet-Cartan: C∞ → Cω. 1936 Whitney: ∃ global C∞ embedding in R2n. (no geometry) 1954 Nash: ∃ global C1 isometric embedding in Ek≥n+2 as soon as there is an embedding in Ek. 1955 Kuiper: n + 2 → n + 1. 1956 Nash: ∃ global C∞ isometric embedding in E3s+4n.
SLIDE 35
From Riemann to Nash
The isometric embedding problem Find f : (Mn, g) → Es s.t. ∀p ∈ M, ∀u, v ∈ TpM: g(u, v) = df.u, df.vEs, i.e. g = f ∗·, ·Es 1873 Schlaefli: conjecture ∃ local C∞ isometric embedding in Es with s = n(n + 1)/2. Note that s(2) = 3. 1926-27 Janet-Cartan: C∞ → Cω. 1936 Whitney: ∃ global C∞ embedding in R2n. (no geometry) 1954 Nash: ∃ global C1 isometric embedding in Ek≥n+2 as soon as there is an embedding in Ek. 1955 Kuiper: n + 2 → n + 1. 1956 Nash: ∃ global C∞ isometric embedding in E3s+4n. 1973 Gromov h-principle and convex integration theory.
SLIDE 36
From Riemann to Nash
The isometric embedding problem Find f : (Mn, g) → Es s.t. ∀p ∈ M, ∀u, v ∈ TpM: g(u, v) = df.u, df.vEs, i.e. g = f ∗·, ·Es 1873 Schlaefli: conjecture ∃ local C∞ isometric embedding in Es with s = n(n + 1)/2. Note that s(2) = 3. 1926-27 Janet-Cartan: C∞ → Cω. 1936 Whitney: ∃ global C∞ embedding in R2n. (no geometry) 1954 Nash: ∃ global C1 isometric embedding in Ek≥n+2 as soon as there is an embedding in Ek. 1955 Kuiper: n + 2 → n + 1. 1956 Nash: ∃ global C∞ isometric embedding in E3s+4n. 1973 Gromov h-principle and convex integration theory. . . .
SLIDE 37 1
Sphere Rigidity: A Paradox
2
Historical Background
3
Nash’s Isometric Embedding
4
Gromov’s Point of View
5
Application to Isometric Embeddings
6
The C1 Fractal Structure
SLIDE 38
SLIDE 39 John F . Nash Nicolaas Kuiper
Nash-Kuiper theorem, 1954-55 If h : (Mn, g) → Ek with k > n is a short embedding (h∗·, ·Ek < g), then ∀ε > 0 there exists a C1 isometric f : (Mn, g) → Ek s.t. f − hC0 < ε
SLIDE 40
Nash-Kuiper theorem, 1954-55 If h : (Mn, g) → Ek with k > n is a short embedding (h∗·, ·Ek < g), then ∀ε > 0 there exists a C1 isometric f : (Mn, g) → Ek s.t. f − hC0 < ε
×(ε/2)
− →
SLIDE 41
Nash-Kuiper theorem, 1954-55 If h : (Mn, g) → Ek with k > n is a short embedding (h∗·, ·Ek < g), then ∀ε > 0 there exists a C1 isometric f : (Mn, g) → Ek s.t. f − hC0 < ε
− →
SLIDE 42
Nash’s Method in a Nutshell
Let h s.t. g − h∗·, ·Ek is a metric, i.e. h is short.
SLIDE 43 Nash’s Method in a Nutshell
Let h s.t. g − h∗·, ·Ek is a metric, i.e. h is short. Choose a locally finite cover of Sym+
n by simplices.
g − h∗·, ·E3 gi = ℓ2
i,1 + ℓ2 i,2 + ℓ2 i,3
g(p) − h∗·, ·Ek(p) =
ϕσ(p)
αi(p)gi =
ai,j(p)ℓ2
i,j
SLIDE 44 Nash’s Method in a Nutshell
g(p) − h∗·, ·Ek(p) =
i,j ai,j(p)ℓ2 i,j
Step i, j: Replace h by hi,j = h + √ai,j Ni,j
- cos(Ni,jℓi,j)u + sin(Ni,jℓi,j)v
- u
v
hi,j
∗·, ·Ek − h∗·, ·Ek = ai,j(p)ℓ2 i,j + O(1/Ni,j)
SLIDE 45 Nash’s Method in a Nutshell
g(p) − h∗·, ·Ek(p) =
i,j ai,j(p)ℓ2 i,j
Step i, j: Replace h by hi,j = h + √ai,j Ni,j
- cos(Ni,jℓi,j)u + sin(Ni,jℓi,j)v
- u
v
hi,j
∗·, ·Ek − h∗·, ·Ek = ai,j(p)ℓ2 i,j + O(1/Ni,j)
Stage = all steps i, j h1.
SLIDE 46 Nash’s Method in a Nutshell
g(p) − h∗·, ·Ek(p) =
i,j ai,j(p)ℓ2 i,j
Step i, j: Replace h by hi,j = h + √ai,j Ni,j
- cos(Ni,jℓi,j)u + sin(Ni,jℓi,j)v
- u
v
hi,j
∗·, ·Ek − h∗·, ·Ek = ai,j(p)ℓ2 i,j + O(1/Ni,j)
Stage = all steps i, j h1. Repeating the stages we get h1, h2, . . . . Choosing the Ni,j large enough hk
C1
→ h∞ with h∞ a C1 isometric embedding.
SLIDE 47 Nash’s Method Revised by Kuiper
g(p) − h∗·, ·Ek(p) =
i,j ai,j(p)ℓ2 i,j
Step i, j: In a suitable chart, replace h by
hi,j = h− ai,j 4Ni,j sin(2Ni,jℓi,j) ∂f ∂x + √ai,j Ni,j sin(Ni,jℓi,j−ai,j 4 sin(2Ni,jℓi,j))w
w
hi,j
∗·, ·Ek − h∗·, ·Ek = ai,j(p)ℓ2 i,j + small terms
Stage = all steps i, j h1. Repeating the stages we get h1, h2, . . . . Choosing the Ni,j large enough hk
C1
→ h∞ with h∞ a C1 isometric embedding.
SLIDE 48
Can you guess the shape of h∞?
SLIDE 49 1
Sphere Rigidity: A Paradox
2
Historical Background
3
Nash’s Isometric Embedding
4
Gromov’s Point of View
5
Application to Isometric Embeddings
6
The C1 Fractal Structure
SLIDE 50 From PDEs to Differential Relations
Misha Gromov
f : (S, g) → E3 is an isometry if ∂f ∂x , ∂f ∂x
E3 = E,
∂f ∂x , ∂f ∂y
E3 = F,
∂f ∂y , ∂f ∂y
E3 = G
SLIDE 51 From PDEs to Differential Relations
Misha Gromov
f : (S, g) → E3 is an isometry if ∂f ∂x , ∂f ∂x
E3 = E,
∂f ∂x , ∂f ∂y
E3 = F,
∂f ∂y , ∂f ∂y
E3 = G
⇔ j1f : p = (x, y) → (p, f(p), ∂f ∂x (p), ∂f ∂y (p)) satisfies R(j1f) = (0, 0, 0), where R(p, f, u, v) = (u, uE3 − E(p), u, vE3 − F(p), v, vE3 − G(p))
SLIDE 52
From PDEs to Differential Relations
Idea: Decouple the derivatives from the map to solve R(p, f(p), u(p), v(p)) = 0 with p ∈ S, f(p) ∈ E3, u(p) ∈ Tf(p)E3, v(p) ∈ Tf(p)E3.
SLIDE 53
From PDEs to Differential Relations
Idea: Decouple the derivatives from the map to solve R(p, f(p), u(p), v(p)) = 0 with p ∈ S, f(p) ∈ E3, u(p) ∈ Tf(p)E3, v(p) ∈ Tf(p)E3. A solution to R = 0 is said formal. A solution of the form j1f is a true (or holonomic) solution.
SLIDE 54
From PDEs to Differential Relations
Idea: Decouple the derivatives from the map to solve R(p, f(p), u(p), v(p)) = 0 with p ∈ S, f(p) ∈ E3, u(p) ∈ Tf(p)E3, v(p) ∈ Tf(p)E3. A solution to R = 0 is said formal. A solution of the form j1f is a true (or holonomic) solution. R = 0, or more generally a differential relation, satisfies the h-principle if every formal solution is homotopic (through formal solutions) to a true solution.
SLIDE 55
The h-Principle
R = 0, or more generally a differential relation, satisfies the h-principle if every formal solution is homotopic (through formal solutions) to a true solution. Existence of formal solutions are of a topological nature. A (counter-)example: There is no immersion S2 → R2. I := {(p, f, L) | p ∈ S2, f ∈ R2, L ∈ L(TpS2, TfR2) : rank L = 2}
SLIDE 56
The h-Principle
R = 0, or more generally a differential relation, satisfies the h-principle if every formal solution is homotopic (through formal solutions) to a true solution. Existence of formal solutions are of a topological nature. A (counter-)example: There is no immersion S2 → R2. I := {(p, f, L) | p ∈ S2, f ∈ R2, L ∈ L(TpS2, TfR2) : rank L = 2}
SLIDE 57 The h-Principle
R = 0, or more generally a differential relation, satisfies the h-principle if every formal solution is homotopic (through formal solutions) to a true solution. Existence of formal solutions are of a topological nature. A (counter-)example: There is no immersion S2 → R2. p
f(p)
I := {(p, f, L) | p ∈ S2, f ∈ R2, L ∈ L(TpS2, TfR2) : rank L = 2}
SLIDE 58
1-dimensional Convex Integration
Convex integration is a tool invented by Gromov to prove the h-principle for many differential relations. R p A simple observation
SLIDE 59 1-dimensional Convex Integration
Convex integration is a tool invented by Gromov to prove the h-principle for many differential relations. R p3 p2 p1 p p =
A simple observation
SLIDE 60 1-dimensional Convex Integration
Convex integration is a tool invented by Gromov to prove the h-principle for many differential relations. R γ p p =
γ, γ ⊂ R A simple observation
SLIDE 61 1-dimensional Convex Integration
Convex integration is a tool invented by Gromov to prove the h-principle for many differential relations. R γ p p =
γ ⊂ R A simple observation
SLIDE 62 1-dimensional Convex Integration
Lemma (Gromov, 1973) Let f0 : I → R3. For all x ∈ I, suppose Rx ⊂ R3 is open and f ′
0(x) ∈ IntConv(Rx).
Then, ∀ε > 0, there exists a true solution f of R = ∪xRx s.t. f − f0C0 < ε R f ′ I
SLIDE 63 1-dimensional Convex Integration
Step 1 Build a continuous family of loops γ : I × S1 → R (x, s) → γx(s) such that ∀x ∈ I, f ′
0(x) =
x γx f ′
0(x)
R
SLIDE 64
1-dimensional Convex Integration
Step 2 Put f(x) := f0(0) + x γs({Ns})ds where N ∈ N∗ et {Ns} is the fractional part of Ns. x γx({Nx})
SLIDE 65 1-dimensional Convex Integration
Step 2 Put f(x) := f0(0) + x γs({Ns})ds where N ∈ N∗ et {Ns} is the fractional part of Ns. x γx({Nx}) f ′(x) = γx({Nx}) ∈ Rx and f(x) ≈ f0(0)+
⌊Nx⌋
N i N
γs({Ns})ds ≈ f0(0)+
⌊Nx⌋
1 N f ′
0( i
N ) ≈ f0(x)
SLIDE 66 1-dimensional Convex Integration
Step 2 Put f(x) := f0(0) + x γs({Ns})ds where N ∈ N∗ et {Ns} is the fractional part of Ns. x γx({Nx}) f ′(x) = γx({Nx}) ∈ Rx and f(x) ≈ f0(0)+
⌊Nx⌋
N i N
γs({Ns})ds ≈ f0(0)+
⌊Nx⌋
1 N f ′
0( i
N ) ≈ f0(x)
SLIDE 67
The h-Principle for Ample Relations
Theorem (Gromov, 1973) Let R ⊂ J1(M, N) be an open and ample differential relation. Then the inclusion of true solutions into the space of formal solutions is a weak homotopy equivalence. ample non-ample The relation of immersions The differential relation of immersions from Mm to Nn satisfies the h-principle for n > m. In particular, S2 can be everted in R3.
SLIDE 68 1
Sphere Rigidity: A Paradox
2
Historical Background
3
Nash’s Isometric Embedding
4
Gromov’s Point of View
5
Application to Isometric Embeddings
6
The C1 Fractal Structure
SLIDE 69
Back to Isometries
The relation Riso := {R = (0, 0, 0)} of isometries S2 → E3 is neither open nor ample and S2 is 2-dimensional. R(p, q, u, v) = (u, uE3 − E(p), u, vE3 − F(p), v, vE3 − G(p))
SLIDE 70 Back to Isometries
The relation Riso := {R = (0, 0, 0)} of isometries S2 → E3 is neither open nor ample and S2 is 2-dimensional. R(p, q, u, v) = (u, uE3 − E(p), u, vE3 − F(p), v, vE3 − G(p))
1
Find f0 s.t. f ′
0 ∈ IntConv(Riso), i.e. f0 is short.
SLIDE 71 Back to Isometries
The relation Riso := {R = (0, 0, 0)} of isometries S2 → E3 is neither open nor ample and S2 is 2-dimensional. R(p, q, u, v) = (u, uE3 − E(p), u, vE3 − F(p), v, vE3 − G(p))
1
Find f0 s.t. f ′
0 ∈ IntConv(Riso), i.e. f0 is short.
2
Thicken Riso to get an open relation.
SLIDE 72 Back to Isometries
The relation Riso := {R = (0, 0, 0)} of isometries S2 → E3 is neither open nor ample and S2 is 2-dimensional. R(p, q, u, v) = (u, uE3 − E(p), u, vE3 − F(p), v, vE3 − G(p))
1
Find f0 s.t. f ′
0 ∈ IntConv(Riso), i.e. f0 is short.
2
Thicken Riso to get an open relation.
3
Use a single coordinate chart.
SLIDE 73 Back to Isometries
The relation Riso := {R = (0, 0, 0)} of isometries S2 → E3 is neither open nor ample and S2 is 2-dimensional. R(p, q, u, v) = (u, uE3 − E(p), u, vE3 − F(p), v, vE3 − G(p))
1
Find f0 s.t. f ′
0 ∈ IntConv(Riso), i.e. f0 is short.
2
Thicken Riso to get an open relation.
3
Use a single coordinate chart.
4
Deal with boundary conditions.
SLIDE 74 Back to Isometries
The relation Riso := {R = (0, 0, 0)} of isometries S2 → E3 is neither open nor ample and S2 is 2-dimensional. R(p, q, u, v) = (u, uE3 − E(p), u, vE3 − F(p), v, vE3 − G(p))
1
Find f0 s.t. f ′
0 ∈ IntConv(Riso), i.e. f0 is short.
2
Thicken Riso to get an open relation.
3
Use a single coordinate chart.
4
Deal with boundary conditions.
5
Extend 1D-CI to 2D.
SLIDE 75 Back to Isometries
Find f0 s.t. f ′
0 ∈ IntConv(Riso), i.e. f0 is short.
Use a single coordinate chart.
SLIDE 76 Back to Isometries
Extend 1D-CI to 2D. g − f ∗
0 ·, ·E3 = 3
ρiℓi ⊗ ℓi gi = f ∗
i−1·, ·E3 + ρiℓi ⊗ ℓi
SLIDE 77
Back to Isometries
Extend 1D-CI to 2D. γs(Ns) = r(s)eiαs cos(2πNs) f(x) := f0(0) + x γs({Ns})ds
SLIDE 78
Back to Isometries
Extend 1D-CI to 2D.
SLIDE 79
Back to Isometries
Extend 1D-CI to 2D. Corrugations
SLIDE 80
Back to Isometries
Thicken Riso to get an open relation. Riso f ′
SLIDE 81
Back to Isometries
Thicken Riso to get an open relation. Riso f ′
SLIDE 82 Back to Isometries
Thicken Riso to get an open relation. R1 f ′
1
Riso
SLIDE 83 Back to Isometries
Thicken Riso to get an open relation. f ′
1
R1 R∞ = Riso
SLIDE 84 Back to Isometries
Thicken Riso to get an open relation. R2 R∞ = Riso f ′
2
SLIDE 85 Back to Isometries
Thicken Riso to get an open relation. R3 R∞ = Riso f ′
3
SLIDE 86 Back to Isometries
Deal with boundary conditions. D g g2 g1 g1,1 g1,2 g1,3
D0,3 D1,1 D1,2 D1,3
f ∗
0 , E3
Compute embeddings fi,j so that f ∗
i,j, E3 ≈ gi,j.
SLIDE 87 Back to Isometries
Deal with boundary conditions. D g g2 g1 g1,1 g1,2 g1,3
D0,3 D1,1 D1,2 D1,3
f ∗
0 , E3
Compute embeddings fi,j so that f ∗
i,j, E3 ≈ gi,j.
= ⇒ sequence f0, f1,1, f1,2, f1,3, f2,1, . . . C1 converging to an isometry.
SLIDE 88
SLIDE 89
SLIDE 90
SLIDE 91
SLIDE 92
SLIDE 93 1
Sphere Rigidity: A Paradox
2
Historical Background
3
Nash’s Isometric Embedding
4
Gromov’s Point of View
5
Application to Isometric Embeddings
6
The C1 Fractal Structure
SLIDE 94
The C1 Fractal Structure
The IC process applied on a circle of radius < 1 .
SLIDE 95
The C1 Fractal Structure
The IC process applied on a circle of radius < 1 .
SLIDE 96
The C1 Fractal Structure
The IC process applied on a circle of radius < 1 .
SLIDE 97
The C1 Fractal Structure
The IC process applied on a circle of radius < 1 .
SLIDE 98 The C1 Fractal Structure
The IC process applied on a circle of radius < 1 . ∀x ∈ S1, n∞(x) = ∞
eiαk(x) cos 2πNkx
where n0 is ⊥ to f0 and A∞(x) = ∞
k=1 αk(x) cos 2πNkx.
dimH graph(∞
k=0 ak cos(2πbkx)) ≤ ln(a)/ ln(b) + 2
SLIDE 99 The C1 Fractal Structure
The IC process applied on a circle of radius < 1 . ∀x ∈ S1, n∞(x) = ∞
eiαk(x) cos 2πNkx
where n0 is ⊥ to f0 and A∞(x) = ∞
k=1 αk(x) cos 2πNkx.
t∞ n∞
∞
Ck t0 n0
cos θk sin θk − sin θk cos θk
- and θk(x) = αk(x) cos 2πNkx
SLIDE 100 The C1 Fractal Structure
Let (v⊥
k,j+1 vk,j+1 nk,j+1)t = Ck,j+1 · (v⊥ k,j vk,j nk,j)t,
Ck,j+1 ∈ SO(3) The corrugation matrix is: R(k, i) =
∞
3
Cℓ,j
3
Ck,j
SLIDE 101 The C1 Fractal Structure
The corrugation matrix: R(k, i) =
∞
(
3
Cℓ,j)
3
Ck,j. Theorem (C1 fractal expansion) The Gauss map n∞ of f∞ := lim
k→+∞ fk,3 over Dk,i \ Dk,i−1, where
k ≥ 1 and i ∈ {1, 2, 3}, is given by nt
∞ = (0
1) · R(k, i) · (v⊥
0,i
v0,i n0)t Dk,i \ Dk,i−1
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SLIDE 110 The HEVEA Project
Vincent Borrelli Roland Denis Tanessi Quintanar Damien Rohmer M´ elanie Theilli` ere Boris Thibert
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http://hevea-project.fr
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