From Isometric Embeddings to C 1 Fractals Francis Lazarus CNRS, - - PowerPoint PPT Presentation

from isometric embeddings to c 1 fractals
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From Isometric Embeddings to C 1 Fractals Francis Lazarus CNRS, - - PowerPoint PPT Presentation

From Isometric Embeddings to C 1 Fractals Francis Lazarus CNRS, GIPSA-Lab, Grenoble CNRS, GIPSA-Lab, Grenoble Keith Arnold Outline Sphere Rigidity: A Paradox 1 Outline Sphere Rigidity: A Paradox 1 Historical Background 2 Outline Sphere


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SLIDE 1

From Isometric Embeddings to C1 Fractals

Francis Lazarus

CNRS, GIPSA-Lab, Grenoble

CNRS, GIPSA-Lab, Grenoble

Keith Arnold

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SLIDE 2

Outline

1

Sphere Rigidity: A Paradox

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SLIDE 3

Outline

1

Sphere Rigidity: A Paradox

2

Historical Background

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SLIDE 4

Outline

1

Sphere Rigidity: A Paradox

2

Historical Background

3

Nash’s Isometric Embedding

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SLIDE 5

Outline

1

Sphere Rigidity: A Paradox

2

Historical Background

3

Nash’s Isometric Embedding

4

Gromov’s Point of View

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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

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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

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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:

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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

  • m

é t r i e

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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

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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.

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Some Good Reasons Why Spheres Are Rigid

As a “non-reducible” surface.

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Some Good Reasons Why Spheres Are Rigid

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Some Good Reasons Why Spheres Are Rigid

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Some Good Reasons Why Spheres Are Rigid

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SLIDE 16

Some Good Reasons Why Spheres Are Rigid

1/k

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SLIDE 17

Some Good Reasons Why Spheres Are Rigid

1/k

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SLIDE 18

Some Good Reasons Why Spheres Are Rigid

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SLIDE 19

Some Good Reasons Why Spheres Are Rigid

THEOREMA EGREGIUM (Gauss, 1827) Isometric surfaces in E3 have the same Gaussian curvature.

I s

  • m

é t r i e

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Some Good Reasons Why Spheres Are Rigid

THEOREMA EGREGIUM (Gauss, 1827) Isometric surfaces in E3 have the same Gaussian curvature.

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A Paradox

Theorem (Nash 1954, Kuiper 1955) The round sphere has a C1 isometric embedding inside an arbitrarily small ball!!

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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.”

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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

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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) =

  • I
  • g(γ′(s), γ′(s))ds
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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) =

  • I
  • g(γ′(s), γ′(s))ds

=

  • I
  • γ′(s), γ′(s)E3ds
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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

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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

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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

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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.

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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.

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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)

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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.

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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.

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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.

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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.

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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. . . .

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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

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SLIDE 38
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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

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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)

− →

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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

− →

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Nash’s Method in a Nutshell

Let h s.t. g − h∗·, ·Ek is a metric, i.e. h is short.

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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) =

  • σ

ϕσ(p)

  • i∈σ

αi(p)gi =

  • i,j

ai,j(p)ℓ2

i,j

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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)

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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.

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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.

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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.

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SLIDE 48

Can you guess the shape of h∞?

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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

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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

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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))

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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.

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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.

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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.

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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}

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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}

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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}

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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

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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 =

  • αipi

A simple observation

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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 =

  • I

γ, γ ⊂ R A simple observation

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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 =

  • S1 γ,

γ ⊂ R A simple observation

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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

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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) =

  • S1 γx

x γx f ′

0(x)

R

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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})

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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⌋

  • i=0
  • i+1

N i N

γs({Ns})ds ≈ f0(0)+

⌊Nx⌋

  • i=0

1 N f ′

0( i

N ) ≈ f0(x)

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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⌋

  • i=0
  • i+1

N i N

γs({Ns})ds ≈ f0(0)+

⌊Nx⌋

  • i=0

1 N f ′

0( i

N ) ≈ f0(x)

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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.

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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

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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))

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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.

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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.

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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.

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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.

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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.

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SLIDE 75

Back to Isometries

Find f0 s.t. f ′

0 ∈ IntConv(Riso), i.e. f0 is short.

Use a single coordinate chart.

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SLIDE 76

Back to Isometries

Extend 1D-CI to 2D. g − f ∗

0 ·, ·E3 = 3

  • i=1

ρiℓi ⊗ ℓi gi = f ∗

i−1·, ·E3 + ρiℓi ⊗ ℓi

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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

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SLIDE 78

Back to Isometries

Extend 1D-CI to 2D.

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SLIDE 79

Back to Isometries

Extend 1D-CI to 2D. Corrugations

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SLIDE 80

Back to Isometries

Thicken Riso to get an open relation. Riso f ′

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SLIDE 81

Back to Isometries

Thicken Riso to get an open relation. Riso f ′

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SLIDE 82

Back to Isometries

Thicken Riso to get an open relation. R1 f ′

1

Riso

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SLIDE 83

Back to Isometries

Thicken Riso to get an open relation. f ′

1

R1 R∞ = Riso

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SLIDE 84

Back to Isometries

Thicken Riso to get an open relation. R2 R∞ = Riso f ′

2

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SLIDE 85

Back to Isometries

Thicken Riso to get an open relation. R3 R∞ = Riso f ′

3

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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.

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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.

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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

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SLIDE 94

The C1 Fractal Structure

The IC process applied on a circle of radius < 1 .

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SLIDE 95

The C1 Fractal Structure

The IC process applied on a circle of radius < 1 .

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SLIDE 96

The C1 Fractal Structure

The IC process applied on a circle of radius < 1 .

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SLIDE 97

The C1 Fractal Structure

The IC process applied on a circle of radius < 1 .

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SLIDE 98

The C1 Fractal Structure

The IC process applied on a circle of radius < 1 . ∀x ∈ S1, n∞(x) = ∞

  • k=1

eiαk(x) cos 2πNkx

  • n0(x) = eiA∞(x)n0(x)

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

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SLIDE 99

The C1 Fractal Structure

The IC process applied on a circle of radius < 1 . ∀x ∈ S1, n∞(x) = ∞

  • k=1

eiαk(x) cos 2πNkx

  • n0(x) = eiA∞(x)n0(x)

where n0 is ⊥ to f0 and A∞(x) = ∞

k=1 αk(x) cos 2πNkx.

t∞ n∞

  • =

  • k=0

Ck t0 n0

  • where Ck =

cos θk sin θk − sin θk cos θk

  • and θk(x) = αk(x) cos 2πNkx
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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) =

  • ℓ=k+1

 

3

  • j=1

Cℓ,j  

3

  • j=i

Ck,j

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SLIDE 101

The C1 Fractal Structure

The corrugation matrix: R(k, i) =

  • ℓ=k+1

(

3

  • j=1

Cℓ,j)

3

  • j=i

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 109
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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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SLIDE 111

http://hevea-project.fr

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SLIDE 112