Equilibrium Configurations of Nematic Liquid Crystals on a Torus - - PowerPoint PPT Presentation

equilibrium configurations of nematic liquid crystals on
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Equilibrium Configurations of Nematic Liquid Crystals on a Torus - - PowerPoint PPT Presentation

Equilibrium Configurations of Nematic Liquid Crystals on a Torus Antonio Segatti Dipartimento di Matematica F . Casorati, Pavia url: www-dimat.unipv.it/segatti DIMO 2013 Diffuse Interface Models, Levico Terme 12/09/2013 Joint with M.


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Equilibrium Configurations of Nematic Liquid Crystals on a Torus

Antonio Segatti

Dipartimento di Matematica ”F . Casorati”, Pavia url: www-dimat.unipv.it/segatti

DIMO 2013 Diffuse Interface Models, Levico Terme 12/09/2013

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Joint with

  • M. Snarski (Brown Univ.)
  • M. Veneroni (Pavia)

preprint, soon @ www-dimat.unipv.it/segatti/pubbl.html

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Liquid crystals

Liquid Crystals are an intermediate state of matter between solids and fluids: Flow like a fluid but retain some orientational order like solids There are three main classes of Liquid Crystals: Nematic, Smectic, Cholesteric Nematics consist in rod like molecules of length 2-3 nm

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The director

The basic mathematical description of the nematic phase is to represent the mean orientation of the molecules through a unit vector field n = n(x) Thus n : Ω → S2

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The director

The basic mathematical description of the nematic phase is to represent the mean orientation of the molecules through a unit vector field n = n(x) Thus n : Ω → S2 For the Q-tensor description see DeGennes, Ball, Majumdar, Zarnescu.....many many others

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The Oseen-Frank Theory

Consider a region Ω ⊂ R3 occupied by the liquid crystal. We consider only a static situation in which the fluid velocity is zero. The Oseen-Frank energy depends on n : Ω → S2 and on ∇n and has the form EOF(n) := 1 2

[K1(divn)2 + K2(n · curln)2 + K3|n × curln|2 +(K2 + K4)div((∇n)n − (divn)n)] dx, where

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The Oseen-Frank Theory

Consider a region Ω ⊂ R3 occupied by the liquid crystal. We consider only a static situation in which the fluid velocity is zero. The Oseen-Frank energy depends on n : Ω → S2 and on ∇n and has the form EOF(n) := 1 2

[K1(divn)2 + K2(n · curln)2 + K3|n × curln|2 +(K2 + K4)div((∇n)n − (divn)n)] dx, where

  • 1. K1 is the splay modulus
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The Oseen-Frank Theory

Consider a region Ω ⊂ R3 occupied by the liquid crystal. We consider only a static situation in which the fluid velocity is zero. The Oseen-Frank energy depends on n : Ω → S2 and on ∇n and has the form EOF(n) := 1 2

[K1(divn)2 + K2(n · curln)2 + K3|n × curln|2 +(K2 + K4)div((∇n)n − (divn)n)] dx, where

  • 1. K1 is the splay modulus
  • 2. K2 is the twist modulus
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SLIDE 9

The Oseen-Frank Theory

Consider a region Ω ⊂ R3 occupied by the liquid crystal. We consider only a static situation in which the fluid velocity is zero. The Oseen-Frank energy depends on n : Ω → S2 and on ∇n and has the form EOF(n) := 1 2

[K1(divn)2 + K2(n · curln)2 + K3|n × curln|2 +(K2 + K4)div((∇n)n − (divn)n)] dx, where

  • 1. K1 is the splay modulus
  • 2. K2 is the twist modulus
  • 3. K3 is the bend modulus
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SLIDE 10

The Oseen-Frank Theory

Consider a region Ω ⊂ R3 occupied by the liquid crystal. We consider only a static situation in which the fluid velocity is zero. The Oseen-Frank energy depends on n : Ω → S2 and on ∇n and has the form EOF(n) := 1 2

[K1(divn)2 + K2(n · curln)2 + K3|n × curln|2 +(K2 + K4)div((∇n)n − (divn)n)] dx, where

  • 1. K1 is the splay modulus
  • 2. K2 is the twist modulus
  • 3. K3 is the bend modulus
  • 4. K2 + K4 is the saddle splay modulus
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SLIDE 11

The Oseen-Frank Theory

Consider a region Ω ⊂ R3 occupied by the liquid crystal. We consider only a static situation in which the fluid velocity is zero. The Oseen-Frank energy depends on n : Ω → S2 and on ∇n and has the form EOF(n) := 1 2

[K1(divn)2 + K2(n · curln)2 + K3|n × curln|2 +(K2 + K4)div((∇n)n − (divn)n)] dx, where

  • 1. K1 is the splay modulus
  • 2. K2 is the twist modulus
  • 3. K3 is the bend modulus
  • 4. K2 + K4 is the saddle splay modulus
  • 5. the last term is a Null Lagrangian
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Mathematical Analysis

Problem: We are interested in the minimization of EOF in a suitable functional class + suitable boundary conditions

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Mathematical Analysis

Problem: We are interested in the minimization of EOF in a suitable functional class + suitable boundary conditions ⇓ Non trivial interplay between: Calculus of Variations, PDEs,

  • Topology. In particular: Choice of the boundary conditions

topological obstruction to regularity

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Mathematical Analysis

Problem: We are interested in the minimization of EOF in a suitable functional class + suitable boundary conditions ⇓ Non trivial interplay between: Calculus of Variations, PDEs,

  • Topology. In particular: Choice of the boundary conditions

topological obstruction to regularity See, e.g., Hardt, Kinderlehrer, Lin 1986 (and many many

  • thers):

Existence, (Partial) Regularity results, dimension of the singular set

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The one constant approximation

Set K1 = K2 = K3 = K

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The one constant approximation

Set K1 = K2 = K3 = K ⇓ EOF(n) = K 2

|∇n|2dx

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The one constant approximation

Set K1 = K2 = K3 = K ⇓ EOF(n) = K 2

|∇n|2dx ⇓ n : Ω → S2 that minimizes EOF is an Harmonic map into sphere

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The one constant approximation

Set K1 = K2 = K3 = K ⇓ EOF(n) = K 2

|∇n|2dx ⇓ n : Ω → S2 that minimizes EOF is an Harmonic map into sphere n : Ω → S2 solves −∆n = |∇n|2n in Ω

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Nematics on surfaces

We consider a two dimensional surface S immersed in R3 coated with a nematic film

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Nematics on surfaces

We consider a two dimensional surface S immersed in R3 coated with a nematic film

  • choice of the order parameter
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Nematics on surfaces

We consider a two dimensional surface S immersed in R3 coated with a nematic film

  • choice of the order parameter
  • choice of the energy
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Nematics on surfaces

We consider a two dimensional surface S immersed in R3 coated with a nematic film

  • choice of the order parameter
  • choice of the energy
  • intrinsic vs. extrinsic effects?
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Nematics on surfaces

We consider a two dimensional surface S immersed in R3 coated with a nematic film

  • choice of the order parameter
  • choice of the energy
  • intrinsic vs. extrinsic effects?
  • topological obstructions?
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Nematics on surfaces

We consider a two dimensional surface S immersed in R3 coated with a nematic film

  • choice of the order parameter
  • choice of the energy
  • intrinsic vs. extrinsic effects?
  • topological obstructions?
  • a unit tangent vector field
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Nematics on surfaces

We consider a two dimensional surface S immersed in R3 coated with a nematic film

  • choice of the order parameter
  • choice of the energy
  • intrinsic vs. extrinsic effects?
  • topological obstructions?
  • a unit tangent vector field
  • Napoli & Vergori 2012
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Nematics on surfaces

We consider a two dimensional surface S immersed in R3 coated with a nematic film

  • choice of the order parameter
  • choice of the energy
  • intrinsic vs. extrinsic effects?
  • topological obstructions?
  • a unit tangent vector field
  • Napoli & Vergori 2012
  • the energy depends on the

way S embeds in R3

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Nematics on surfaces

We consider a two dimensional surface S immersed in R3 coated with a nematic film

  • choice of the order parameter
  • choice of the energy
  • intrinsic vs. extrinsic effects?
  • topological obstructions?
  • a unit tangent vector field
  • Napoli & Vergori 2012
  • the energy depends on the

way S embeds in R3

  • Poincar´

e Hopf Theorem

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Towards a surface theory....

Let S be a compact, orientable, regular surface in R3.

  • ν is the (unit) normal

vector field

  • For u tangent,

Bu := −∇uν is the Shape

  • perator (B is linear and

self-adjoint)

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Towards a surface theory....

Let S be a compact, orientable, regular surface in R3.

  • ν is the (unit) normal

vector field

  • For u tangent,

Bu := −∇uν is the Shape

  • perator (B is linear and

self-adjoint)

  • cn := (n, Bn), τt := −(t, Bn) normal

curvature and geodesic torsion of (flux lines) n

  • κn, κt geodesic curvature of (flux lines)
  • f n and of t

n t ν t = ν × n

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Towards a surface theory....

Let S be a compact, orientable, regular surface in R3.

  • ν is the (unit) normal

vector field

  • For u tangent,

Bu := −∇uν is the Shape

  • perator (B is linear and

self-adjoint)

  • cn := (n, Bn), τt := −(t, Bn) normal

curvature and geodesic torsion of (flux lines) n

  • κn, κt geodesic curvature of (flux lines)
  • f n and of t

n t ν t = ν × n Poincar´ e-Hopf Th.: For any smooth unit vector field v there holds

  • i indexxi(v) = χ(S)
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Towards a surface theory....

Let S be a compact, orientable, regular surface in R3.

  • ν is the (unit) normal

vector field

  • For u tangent,

Bu := −∇uν is the Shape

  • perator (B is linear and

self-adjoint)

  • cn := (n, Bn), τt := −(t, Bn) normal

curvature and geodesic torsion of (flux lines) n

  • κn, κt geodesic curvature of (flux lines)
  • f n and of t

n t ν t = ν × n Poincar´ e-Hopf Th.: For any smooth unit vector field v there holds

  • i indexxi(v) = χ(S)

Unavoidable defects for some choices of S.

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Surface Differential Operators 1

Let u, v be tangent vector fields on S, Dvu := P∇vu is the covariant derivative of S (P projection on the tangent). Recall the Gauss Relation ∇vu = Dvu + (Bu, v)ν.

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Surface Differential Operators 1

Let u, v be tangent vector fields on S, Dvu := P∇vu is the covariant derivative of S (P projection on the tangent). Recall the Gauss Relation ∇vu = Dvu + (Bu, v)ν. Take a tangent vector field u on S and a vector field v in R3 ∇su[v] := ∇Pvu, i.e. ∇su := ∇uP

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Surface Differential Operators 1

Let u, v be tangent vector fields on S, Dvu := P∇vu is the covariant derivative of S (P projection on the tangent). Recall the Gauss Relation ∇vu = Dvu + (Bu, v)ν. Take a tangent vector field u on S and a vector field v in R3 ∇su[v] := ∇Pvu, i.e. ∇su := ∇uP |∇su|2 = |Du|2 + |Bu|2

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Surface Differential Operators 1

Let u, v be tangent vector fields on S, Dvu := P∇vu is the covariant derivative of S (P projection on the tangent). Recall the Gauss Relation ∇vu = Dvu + (Bu, v)ν. Take a tangent vector field u on S and a vector field v in R3 ∇su[v] := ∇Pvu, i.e. ∇su := ∇uP |∇su|2 = |Du|2 + |Bu|2 Dvu = ∇su[v]. Take the frame {e1, e2, ν}

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Surface Differential Operators 1

Let u, v be tangent vector fields on S, Dvu := P∇vu is the covariant derivative of S (P projection on the tangent). Recall the Gauss Relation ∇vu = Dvu + (Bu, v)ν. Take a tangent vector field u on S and a vector field v in R3 ∇su[v] := ∇Pvu, i.e. ∇su := ∇uP |∇su|2 = |Du|2 + |Bu|2 Dvu = ∇su[v]. Take the frame {e1, e2, ν} e1 e2 ν

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Surface Differential Operators 1

Let u, v be tangent vector fields on S, Dvu := P∇vu is the covariant derivative of S (P projection on the tangent). Recall the Gauss Relation ∇vu = Dvu + (Bu, v)ν. Take a tangent vector field u on S and a vector field v in R3 ∇su[v] := ∇Pvu, i.e. ∇su := ∇uP |∇su|2 = |Du|2 + |Bu|2 Dvu = ∇su[v]. Take the frame {e1, e2, ν} e1 e2 ν ∇su =   · · · · · · · · · · · · · · · · · ·   , Du =   · · · · · · · · · · · ·   .

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Surface Differential Operators (Contd.)

For a tangent vector field u, we define the

  • surface divergence, that is divsu := tr∇su = trDu
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Surface Differential Operators (Contd.)

For a tangent vector field u, we define the

  • surface divergence, that is divsu := tr∇su = trDu
  • surface curl, that is curlsu := −ǫ∇su (ǫ Ricci alternator)
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Surface Differential Operators (Contd.)

For a tangent vector field u, we define the

  • surface divergence, that is divsu := tr∇su = trDu
  • surface curl, that is curlsu := −ǫ∇su (ǫ Ricci alternator)

We compute

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Surface Differential Operators (Contd.)

For a tangent vector field u, we define the

  • surface divergence, that is divsu := tr∇su = trDu
  • surface curl, that is curlsu := −ǫ∇su (ǫ Ricci alternator)

We compute |∇sn|2 = |Dn|2

Intrinsic

+ |Bn|2

Extrinsic

= κ2

t + κ2 n + c2 n + τ 2 n

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Surface Differential Operators (Contd.)

For a tangent vector field u, we define the

  • surface divergence, that is divsu := tr∇su = trDu
  • surface curl, that is curlsu := −ǫ∇su (ǫ Ricci alternator)

We compute |∇sn|2 = |Dn|2 + |Bn|2 = κ2

t + κ2 n

|Dn|2

+ c2

n + τ 2 n

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SLIDE 43

Surface Differential Operators (Contd.)

For a tangent vector field u, we define the

  • surface divergence, that is divsu := tr∇su = trDu
  • surface curl, that is curlsu := −ǫ∇su (ǫ Ricci alternator)

We compute |∇sn|2 = |Dn|2 + |Bn|2 = κ2

t +

κ2

n + c2 n

K2

n

+ τ 2

n

  • note that κ2

n + c2 n = K2 n with Kn the curvature of the flux line

  • f n
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Surface energy

For any h > 0 consider Ωh Napoli & Vergori P .R.E. 2012

h

Ωh EOF(n) := 1 2

  • Ωh

[K1(divn)2 + K2(n · curln)2 + K3|n × curln|2] dx,

  • For a fixed (smooth) n : Ωh → S2
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Surface energy

For any h > 0 consider Ωh Napoli & Vergori P .R.E. 2012

h

Ωh EOF(n) := 1 2h

  • Ωh

[K1(divn)2 + K2(n · curln)2 + K3|n × curln|2] dx,

  • For a fixed (smooth) n : Ωh → S2
  • Rescale with h > 0
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Surface energy

For any h > 0 consider Ωh Napoli & Vergori P .R.E. 2012

h

Ωh EOF(n) := 1 2h

  • Ωh

[K1(divn)2 + K2(n · curln)2 + K3|n × curln|2] dx, ↓ for h → 0 EOF(ns) := 1 2

  • S

[K1(divsns)2+K2(ns·curlsns)2+K3|ns×curlsns|2]dS

  • For a fixed (smooth) n : Ωh → S2
  • Rescale with h > 0
  • IF n is ind. of the thickness direction and n · ν = 0 ( the

saddle-splay term can be neglected). ns := n|S, ns unit tangent vector field

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The one constant approximation

Set K1 = K2 = K3 = K EOF(n) = K 2

  • S

|∇sn|2dS

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The one constant approximation

Set K1 = K2 = K3 = K EOF(n) = K 2

  • S

(|Dn|2+|Bn|2)dS Eintr

OF (n) = K

2

  • S

|Dn|2dS See Napoli & Vergori P .R.L. 2012 for a discussion on the cylinder

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The one constant approximation

Set K1 = K2 = K3 = K EOF(n) = K 2

  • S

(|Dn|2+|Bn|2)dS Eintr

OF (n) = K

2

  • S

|Dn|2dS

  • See Shkoller Comm. PDE 2002 and Vitelli-Nelson P

.R.E. 2006 (and references..) See Napoli & Vergori P .R.L. 2012 for a discussion on the cylinder

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The one constant approximation

Set K1 = K2 = K3 = K EOF(n) = K 2

  • S

(κ2

t +κ2 n+c2 n+τ 2 n)dS

Eintr

OF (n) = K

2

  • S

(κ2

t + κ2 n)dS

  • See Shkoller Comm. PDE 2002 and Vitelli-Nelson P

.R.E. 2006 (and references..)

  • If S = S2 then EOF(n) = Eintr

OF (n) + C

See Napoli & Vergori P .R.L. 2012 for a discussion on the cylinder

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The one constant approximation

Set K1 = K2 = K3 = K EOF(n) = K 2

  • S

(|Dn|2+|Bn|2)dS Eintr

OF (n) = K

2

  • S

|Dn|2dS

  • See Shkoller Comm. PDE 2002 and Vitelli-Nelson P

.R.E. 2006 (and references..)

  • If S = S2 then EOF(n) = Eintr

OF (n) + C

  • Eintr

OF (·) is called Total Bending

See Napoli & Vergori P .R.L. 2012 for a discussion on the cylinder

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The one constant approximation

Set K1 = K2 = K3 = K EOF(n) = K 2

  • S

(|Dn|2 + |Bn|2)dS Eintr

OF (n) = K

2

  • S

|Dn|2dS

  • See Shkoller Comm. PDE 2002 and Vitelli-Nelson P

.R.E. 2006 (and references..)

  • If S = S2 then EOF(n) = Eintr

OF (n) + C

  • Eintr

OF (·) is called Total Bending

  • If n minimizes EOF, then solves

−∆gn + B2n = |Dn|2n + |Bn|2n ∆g is the rough Laplacian See Napoli & Vergori P .R.L. 2012 for a discussion on the cylinder

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Results for the full energy

Let H1

tan(S; S2) be the space of unit tangent vector fields with

H1 regularity

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Results for the full energy

Let H1

tan(S; S2) be the space of unit tangent vector fields with

H1 regularity ⇒ S can’t have the topology of S2 (H1

tan(S2, S2) = ∅ (?))

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Results for the full energy

Let H1

tan(S; S2) be the space of unit tangent vector fields with

H1 regularity ⇒ S can’t have the topology of S2 (H1

tan(S2, S2) = ∅ (?))

⇒ For all S such that ∂S = ∅ and H1

tan(S; S2) = ∅,

∃n ∈ H1

tan(S; S2) :

EOF(n) = min

u∈H1

tan(S;S2)

1 2

  • S

[K1(divsu)2 + K2(u · curlsu)2 +K3|u × curlsu|2]dS

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SLIDE 56

Results for the full energy

Let H1

tan(S; S2) be the space of unit tangent vector fields with

H1 regularity ⇒ S can’t have the topology of S2 (H1

tan(S2, S2) = ∅ (?))

⇒ For all S such that ∂S = ∅ and H1

tan(S; S2) = ∅,

∃n ∈ H1

tan(S; S2) :

EOF(n) = min

u∈H1

tan(S;S2)

1 2

  • S

[K1(divsu)2 + K2(u · curlsu)2 +K3|u × curlsu|2]dS

  • (via direct method of Calculus of Variations)
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The Torus

Since the Euler Caractheristic χ of the torus is 0, we do not have

  • bstructions to regularity
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The Torus

Since the Euler Caractheristic χ of the torus is 0, we do not have

  • bstructions to regularity.

Poincar` e Hopf Theorem:

  • j∈J

indexxjv = 0 for smooth vector fields v α := ∠(n, e1), α ≡ π/3

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SLIDE 59

The Torus

We parametrize the Torus via X : [0, 2π] × [0, 2π] → R3

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SLIDE 60

The Torus

We parametrize the Torus via X : [0, 2π]

φ

× [0, 2π]

ϑ

→ R3 φ T ϑ R r Important quantity: R/r We represent u ∈ H1

tan(U; S2) (U ⊂ T2 open and simply

connected) as u = cos αe1 + sin αe2 α ∈ H1(U; R) is the angle between u and the (direction of the) meridian line of curvature e1.

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SLIDE 61

Winding Number

Given n ∈ H1

tan(T; S2), the winding number d(n) ∈ Z × Z

measures how many times n ”wraps around T”.

  • d(n) is invariant under

homotopy A vector field with d(n) = (1, 0)

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SLIDE 62

Winding Number

Given n ∈ H1

tan(T; S2), the winding number d(n) ∈ Z × Z

measures how many times n ”wraps around T”.

  • d(n) is invariant under

homotopy

  • If d(n) = (0, 0) the

α−representation is only local A vector field with d(n) = (1, 0)

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SLIDE 63

Global α representation 1

For any h ∈ Z × Z set ((e1, e2) basis of R2) Ah :=

  • α ∈ H1

loc(R2) : α(x + 2πei) = α(x) + 2π(h · ei)), ˜

∀x ∈ R2

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SLIDE 64

Global α representation 1

For any h ∈ Z × Z set ((e1, e2) basis of R2) Ah :=

  • α ∈ H1

loc(R2) : α(x + 2πei) = α(x) + 2π(h · ei)), ˜

∀x ∈ R2 A :=

  • h∈Z2

Ah

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SLIDE 65

Global α representation 1

For any h ∈ Z × Z set ((e1, e2) basis of R2) Ah :=

  • α ∈ H1

loc(R2) : α(x + 2πei) = α(x) + 2π(h · ei)), ˜

∀x ∈ R2 A :=

  • h∈Z2

Ah A /2kπ ← →

  • bijection

H1

tan(T2; S2)

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SLIDE 66

Global α representation 1

For any h ∈ Z × Z set ((e1, e2) basis of R2) Ah :=

  • α ∈ H1

loc(R2) : α(x + 2πei) = α(x) + 2π(h · ei)), ˜

∀x ∈ R2 A :=

  • h∈Z2

Ah A /2kπ ← →

  • bijection

H1

tan(T2; S2)

n ∈ H1

tan(T2; S2) ←

→ α ∈ Ad(n)

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SLIDE 67

Global α representation 2

  • The behavior of α on

Q = [0, 2π] × [0, 2π] is sufficient

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SLIDE 68

Global α representation 2

  • The behavior of α on

Q = [0, 2π] × [0, 2π] is sufficient

  • A0 ≡ H1

per(Q)

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SLIDE 69

Global α representation 2

  • The behavior of α on

Q = [0, 2π] × [0, 2π] is sufficient

  • A0 ≡ H1

per(Q)

  • For any h ∈ Z2, ∃ψh ∈ Ah :

Ah = A0 + ψh

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SLIDE 70

Global α representation 2

  • The behavior of α on

Q = [0, 2π] × [0, 2π] is sufficient

  • A0 ≡ H1

per(Q)

  • For any h ∈ Z2, ∃ψh ∈ Ah :

Ah = A0 + ψh

  • We can choose ψh such

that ∆sψh = 0, ∆s Laplace Beltrami on T

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SLIDE 71

Global α representation 2

  • The behavior of α on

Q = [0, 2π] × [0, 2π] is sufficient

  • A0 ≡ H1

per(Q)

  • For any h ∈ Z2, ∃ψh ∈ Ah :

Ah = A0 + ψh

  • We can choose ψh such

that ∆sψh = 0, ∆s Laplace Beltrami on T

  • E.-L. Eq. (one constant

approx.) ∆sα+1 2(c2

1−c2 2) sin(2α) = 0,

c1, c2 : T → R smooth

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SLIDE 72

Global α representation 2

  • The behavior of α on

Q = [0, 2π] × [0, 2π] is sufficient

  • A0 ≡ H1

per(Q)

  • For any h ∈ Z2, ∃ψh ∈ Ah :

Ah = A0 + ψh

  • We can choose ψh such

that ∆sψh = 0, ∆s Laplace Beltrami on T

  • E.-L. Eq. (one constant

approx.) ∆sα+1 2(c2

1−c2 2) sin(2α) = 0,

c1, c2 : T → R smooth

  • ∀h ∈ Z2 ∃ smooth (odd)

solution α = u + ψh with u periodic (via Schauder Fixed Point argument)

slide-73
SLIDE 73

Gradient Flow of EOF(α)

∂tα − ∆sα − 1 2(c2

1(x) − c2 2(x)) sin(2α) = 0 in R2 × (0, +∞)

  • Well posedness of smooth solutions
slide-74
SLIDE 74

Gradient Flow of EOF(α)

∂tα − ∆sα − 1 2(c2

1(x) − c2 2(x)) sin(2α) = 0 in R2 × (0, +∞)

  • Well posedness of smooth solutions
  • Convergence when t ր +∞ to stationary solutions
slide-75
SLIDE 75

Gradient Flow of EOF(α)

∂tα − ∆sα − 1 2(c2

1(x) − c2 2(x)) sin(2α) = 0 in R2 × (0, +∞)

  • Well posedness of smooth solutions
  • Convergence when t ր +∞ to stationary solutions
  • Conservation of the winding number in the evolution:

(d(n0) = h ⇒ d(n(t)) = h) ← → (α0 ∈ Ah ⇒ α(t) ∈ Ah)

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SLIDE 76

Some pictures...

Discretization (finite differences in space/time) of ∂tα − ∆sα − (c2

1(x) − c2 2(x)) sin(2α) = 0 α(0) ∈ A0 \ {kπ/2}

slide-77
SLIDE 77

Some pictures...

Discretization (finite differences in space/time) of ∂tα − ∆sα − (c2

1(x) − c2 2(x)) sin(2α) = 0 α(0) ∈ A0 \ {kπ/2}

(Left: R/r = 2.5, α = π/2, EOF(α) = 11.96π2). (Right: R/r = 1.33, EOF(α) = 9.95π2 < EOF(π/2) = 10.22π2 ).

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SLIDE 78

Some pictures...

Discretization (finite differences in space/time) of ∂tα − ∆sα − (c2

1(x) − c2 2(x)) sin(2α) = 0 α(0) ∈ A0 \ {kπ/2}

⇒ IF R/r > 2, then α = π/2 is a global minimum. IF R/r < 2/ √ 3 then EOF(α ≡ 0) < EOF(α ≡ π/2)

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SLIDE 79

Some Pictures II

What happens for R/r ∈ (2/ √ 3, 2]? Set R/r = 1.2: n in the inner part of T bends to follow the geodesics along e1

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SLIDE 80

Some Pictures II

What happens for R/r ∈ (2/ √ 3, 2]? Set R/r = 1.2: n in the inner part of T bends to follow the geodesics along e1

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SLIDE 81

R/r 1.2 1.3 1.4 1.5 1.6 1.7 1.8

EOF (π/2) π2

11.557 10.413 9.912 9.707 9.666 9.726 9.854

EOF (α∗) π2

10.696 10.056 9.812 9.705 9.666 9.726 9.854

Comparison between the energy (/π2) of the constant solution α = π/2 and values of the numerical solution α∗, for different ratios R/r and with fixed index 0.

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SLIDE 82

R/r 1.2 1.3 1.4 1.5 1.6 1.7 1.8

EOF (π/2) π2

11.557 10.413 9.912 9.707 9.666 9.726 9.854

EOF (α∗) π2

10.696 10.056 9.812 9.705 9.666 9.726 9.854

Comparison between the energy (/π2) of the constant solution α = π/2 and values of the numerical solution α∗, for different ratios R/r and with fixed index 0.

A Conjecture: ∃b∗ ∈ (2/ √ 3, 2] such that the constant values α = π/2 + mπ, m ∈ Z are local minimizers for EOF in A0 if and

  • nly if R/r ≥ b∗
slide-83
SLIDE 83

R/r 1.2 1.3 1.4 1.5 1.6 1.7 1.8

EOF (π/2) π2

11.557 10.413 9.912 9.707 9.666 9.726 9.854

EOF (α∗) π2

10.696 10.056 9.812 9.705 9.666 9.726 9.854

Comparison between the energy (/π2) of the constant solution α = π/2 and values of the numerical solution α∗, for different ratios R/r and with fixed index 0.

A Conjecture: ∃b∗ ∈ (2/ √ 3, 2] such that the constant values α = π/2 + mπ, m ∈ Z are local minimizers for EOF in A0 if and

  • nly if R/r ≥ b∗

Numerics says that b∗ ∈ [1.51, 1.52]

slide-84
SLIDE 84

Comparison with the intrinsic energy (Shkoller, Nelson-Vitelli...) on T

EOF(n) = K 2

  • S

(|Dn|2+|Bn|2)dS

slide-85
SLIDE 85

Comparison with the intrinsic energy (Shkoller, Nelson-Vitelli...) on T

EOF(n) = K 2

  • S

(|Dn|2+|Bn|2)dS Eintr

OF(n) = K

2

  • S

|Dn|2dS

slide-86
SLIDE 86

Comparison with the intrinsic energy (Shkoller, Nelson-Vitelli...) on T

EOF(n) = K 2

  • S

(|Dn|2+|Bn|2)dS Eintr

OF(n) = K

2

  • S

|Dn|2dS ∆sα + 1

2(c2 1 − c2 2) sin 2α = 0

slide-87
SLIDE 87

Comparison with the intrinsic energy (Shkoller, Nelson-Vitelli...) on T

EOF(n) = K 2

  • S

(|Dn|2+|Bn|2)dS Eintr

OF(n) = K

2

  • S

|Dn|2dS ∆sα + 1

2(c2 1 − c2 2) sin 2α = 0

∆sα = 0

slide-88
SLIDE 88

Comparison with the intrinsic energy (Shkoller, Nelson-Vitelli...) on T

EOF(n) = K 2

  • S

(|Dn|2+|Bn|2)dS Eintr

OF(n) = K

2

  • S

|Dn|2dS ∆sα + 1

2(c2 1 − c2 2) sin 2α = 0

∆sα = 0 Selection principle among the constant solutions

slide-89
SLIDE 89

Comparison with the intrinsic energy (Shkoller, Nelson-Vitelli...) on T

EOF(n) = K 2

  • S

(|Dn|2+|Bn|2)dS Eintr

OF(n) = K

2

  • S

|Dn|2dS ∆sα + 1

2(c2 1 − c2 2) sin 2α = 0

∆sα = 0 Selection principle among the constant solutions Any constant is a solution

slide-90
SLIDE 90

Projects for the future

  • Rigorous justification of the surface energy Gamma

Convergence

slide-91
SLIDE 91

Projects for the future

  • Rigorous justification of the surface energy Gamma

Convergence

  • Interaction with magnetic/electric field
slide-92
SLIDE 92

Projects for the future

  • Rigorous justification of the surface energy Gamma

Convergence

  • Interaction with magnetic/electric field