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Ribbon knotsin the Faddeev-Skyrme model
Jarmo HietarintaUniversity of Turku, Turku, Finland
in collaboration with Petri Salo and Juha Jaykka
[email protected]
LMS Durham Symposium: Topological Solitons and their Applications
August 2004
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The setting
Carrier field: 3D unit vector field n in R3
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The setting
Carrier field: 3D unit vector field n in R3
Locally smooth
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The setting
Carrier field: 3D unit vector field n in R3
Locally smooth
Asymptotically trivial: n(r) → n∞, when |r| → ∞
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The setting
Carrier field: 3D unit vector field n in R3
Locally smooth
Asymptotically trivial: n(r) → n∞, when |r| → ∞⇒ can compactify R3 → S 3.
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The setting
Carrier field: 3D unit vector field n in R3
Locally smooth
Asymptotically trivial:n
(r
) →n∞, when |
r
| → ∞⇒ can compactify R3 → S 3.
⇒ n : S 3 → S 2.
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The setting
Carrier field: 3D unit vector field n in R3
Locally smooth
Asymptotically trivial:n
(r
) →n∞, when |
r
| → ∞⇒ can compactify R3 → S 3.
⇒ n : S 3 → S 2.
Such mappings are characterized by the Hopf charge, i.e., by the
homotopy class π3(S 2) = Z.
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Example of vortex ring with Hopf charge 1:
n =
4(2xz − y(r2 − 1))
(1 + r2)2,
4(2yz + x(r2 − 1))
(1 + r2)2, 1−
8(r2 − z2)
(1 + r2)2
.
where r2 = x2 + y2 + z2.
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Example of vortex ring with Hopf charge 1:
n =
4(2xz − y(r2 − 1))
(1 + r2)2,
4(2yz + x(r2 − 1))
(1 + r2)2, 1−
8(r2 − z2)
(1 + r2)2
.
where r2 = x2 + y2 + z2.
Note that•n = (0, 0, 1) at infinity (any direction).•n = (0, 0,−1) on the ring x2 + y2 = 1, z = 0 (vortex core).
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Example of vortex ring with Hopf charge 1:
n =
4(2xz − y(r2 − 1))
(1 + r2)2,
4(2yz + x(r2 − 1))
(1 + r2)2, 1−
8(r2 − z2)
(1 + r2)2
.
where r2 = x2 + y2 + z2.
Note that•n = (0, 0, 1) at infinity (any direction).•n = (0, 0,−1) on the ring x2 + y2 = 1, z = 0 (vortex core).
Computing the Hopf charge:
Givenn
:R3
→ S 2
define F ij = abcna
∂ inb
∂ jnc
.
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Example of vortex ring with Hopf charge 1:
n =
4(2xz − y(r2 − 1))
(1 + r2)2,
4(2yz + x(r2 − 1))
(1 + r2)2, 1−
8(r2 − z2)
(1 + r2)2
.
where r2 = x2 + y2 + z2.
Note that•n = (0, 0, 1) at infinity (any direction).•n = (0, 0,−1) on the ring x2 + y2 = 1, z = 0 (vortex core).
Computing the Hopf charge:
Givenn
:R3
→ S 2
define F ij = abcna
∂ inb
∂ jnc
.Given F ij construct A j so that F ij = ∂ iA j − ∂ jAi,
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Example of vortex ring with Hopf charge 1:
n =
4(2xz − y(r2 − 1))
(1 + r2)2,
4(2yz + x(r2 − 1))
(1 + r2)2, 1−
8(r2 − z2)
(1 + r2)2
.
where r2 = x2 + y2 + z2.
Note that•n = (0, 0, 1) at infinity (any direction).•n = (0, 0,−1) on the ring x2 + y2 = 1, z = 0 (vortex core).
Computing the Hopf charge:
Givenn
:R3
→ S 2
define F ij = abcna
∂ inb
∂ jnc
.Given F ij construct A j so that F ij = ∂ iA j − ∂ jAi,then
Q =1
16π2 ijkAiF jk d3x.
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Possible physical realization
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Faddeev’s model
In 1975 Faddeev proposed the Lagrangian (energy)
E =
(∂ in)2 + g F 2ij
d3x, F ij := n · ∂ in× ∂ jn.
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Faddeev’s model
In 1975 Faddeev proposed the Lagrangian (energy)
E =
(∂ in)2 + g F 2ij
d3x, F ij := n · ∂ in× ∂ jn.
Under the scaling r → λr the integrated kinetic term scales as λand the integrated F 2 term as λ−1.
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Faddeev’s model
In 1975 Faddeev proposed the Lagrangian (energy)
E =
(∂ in)2 + g F 2ij
d3x, F ij := n · ∂ in× ∂ jn.
Under the scaling r → λr the integrated kinetic term scales as λand the integrated F 2 term as λ−1.
Therefore nontrivial configurations will attain some fixed size
determined by the dimensional coupling constant g. (Virialtheorem)
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Faddeev’s model
In 1975 Faddeev proposed the Lagrangian (energy)
E =
(∂ in)2 + g F 2ij
d3x, F ij := n · ∂ in× ∂ jn.
Under the scaling r → λr the integrated kinetic term scales as λand the integrated F 2 term as λ−1.
Therefore nontrivial configurations will attain some fixed size
determined by the dimensional coupling constant g. (Virialtheorem)
Vakulenko and Kapitanskii (1979): a lower limit for the energy,
E ≥ c |Q|34 ,
where c is some constant, and Q the Hopf charge.
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Other models
Other field theoretical models having configurations withnonzero Hopf charge include:
de Vega (1978), Higgs-models (Abelian and SU(2)).
Nicole (1978), L = −−1
4(∂ µna)23/2
Kundu and Rubakov (1982), S 2 nonlinear σ-model.
Aratyn, Ferreira, Zimerman (1999) L = −
F 2µν 3/4
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i i f ’
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Numerical studies of Faddeev’s model
Question: What are the minimun energy states for various Hopfcharges?
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N i l di f F dd ’ d l
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Numerical studies of Faddeev’s model
Question: What are the minimun energy states for various Hopfcharges?
Gladikowski and Hellmund (1997): Charges 1 and 2, also
various other models, cylindrical ansatz.
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N i l t di f F dd ’ d l
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Numerical studies of Faddeev’s model
Question: What are the minimun energy states for various Hopfcharges?
Gladikowski and Hellmund (1997): Charges 1 and 2, also
various other models, cylindrical ansatz.
Faddeev and Niemi (1997): Charges 1 and 2, cylindricalansatz, speculations on trefoil knots.
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N i l t di f F dd ’ d l
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Numerical studies of Faddeev’s model
Question: What are the minimun energy states for various Hopfcharges?
Gladikowski and Hellmund (1997): Charges 1 and 2, also
various other models, cylindrical ansatz.
Faddeev and Niemi (1997): Charges 1 and 2, cylindricalansatz, speculations on trefoil knots.
Battye and Sutcliffe (1998): Charges 1-8, ring initial states,deformation to trefoil seen.
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N i l t di f F dd ’ d l
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Numerical studies of Faddeev’s model
Question: What are the minimun energy states for various Hopfcharges?
Gladikowski and Hellmund (1997): Charges 1 and 2, also
various other models, cylindrical ansatz.
Faddeev and Niemi (1997): Charges 1 and 2, cylindricalansatz, speculations on trefoil knots.
Battye and Sutcliffe (1998): Charges 1-8, ring initial states,deformation to trefoil seen.
Hietarinta and Salo
(1999): Linked initial configurations, deformation to trefoilseen.(2000): More on the lowest energy states, agreement withVK bound.(2004): Knotting of twisted vortices (w/Jäykkä).
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Our work
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Our work
Full three dimensional minimization.
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Our work
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Our work
Full three dimensional minimization.
Use n rather than w := n1+in21+n3
, because singularities in w
are hard to handle numerically.
(w = ∞ at the vortex core or at spatial infinity)However, with n have to renormalize to n2 = 1 after each
iteration step.
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Our work
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Our work
Full three dimensional minimization.
Use n rather than w := n1+in21+n3
, because singularities in w
are hard to handle numerically.
(w = ∞ at the vortex core or at spatial infinity)However, with n have to renormalize to n2 = 1 after each
iteration step.
Discretize so that code parallelization simple.
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Our work
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Our work
Full three dimensional minimization.
Use n rather than w := n1+in21+n3
, because singularities in w
are hard to handle numerically.
(w = ∞ at the vortex core or at spatial infinity)However, with n have to renormalize to n2 = 1 after each
iteration step.
Discretize so that code parallelization simple.
More complicated initial states generated, in particularlinked unknots.
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Our work
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Our work
Full three dimensional minimization.
Use n rather than w := n1+in21+n3
, because singularities in w
are hard to handle numerically.
(w = ∞ at the vortex core or at spatial infinity)However, with n have to renormalize to n2 = 1 after each
iteration step.
Discretize so that code parallelization simple.
More complicated initial states generated, in particularlinked unknots.
Special emphasis on visualization.
Ribbon knots in the Faddeev-Skyrme model – p.9/3
Computational
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Computational
Discretized on a cubic lattice, size typically 2403.
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Computational
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Computational
Discretized on a cubic lattice, size typically 2403.
Discretized the Lagrangian (energy):∂ in on links, F ij on plaquettes.
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Computational
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Computational
Discretized on a cubic lattice, size typically 2403.
Discretized the Lagrangian (energy):∂ in on links, F ij on plaquettes.
Computed the gradient n(r)L symbolically.
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Computational
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Computational
Discretized on a cubic lattice, size typically 2403.
Discretized the Lagrangian (energy):∂ in on links, F ij on plaquettes.
Computed the gradient n(r)L symbolically.
Used dissipative dynamics: nnew = nold − δn(r)L.
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Computational
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Computational
Discretized on a cubic lattice, size typically 2403.
Discretized the Lagrangian (energy):∂ in on links, F ij on plaquettes.
Computed the gradient n(r)L symbolically.
Used dissipative dynamics: nnew = nold − δn(r)L.
Program parallelizes well, have used Cray T3E, SGI Origin2000, IBM SP
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How to visualize vector fields?
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How to visualize vector fields?
Cannot draw vectors at every point.
Flow lines do not make sense, because of global gaugeinvariance.
(In fact our vectors could live in another space, e.g., spin.)
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How to visualize vector fields?
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How to visualize vector fields?
Cannot draw vectors at every point.
Flow lines do not make sense, because of global gaugeinvariance.
(In fact our vectors could live in another space, e.g., spin.)
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How to visualize vector fields?
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Cannot draw vectors at every point.
Flow lines do not make sense, because of global gaugeinvariance.
(In fact our vectors could live in another space, e.g., spin.)
Vector are represented by points on the sphere. We have onefixed direction, n at infinity, define it as the north pole, i.e,n∞ = (0, 0, 1). All other directions are defined by latitude andlongitude.
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How to visualize vector fields?
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Cannot draw vectors at every point.
Flow lines do not make sense, because of global gaugeinvariance.
(In fact our vectors could live in another space, e.g., spin.)
Vector are represented by points on the sphere. We have onefixed direction, n at infinity, define it as the north pole, i.e,n∞ = (0, 0, 1). All other directions are defined by latitude andlongitude.
Latitude is invariant under global gauge rotations that keep thenorth pole fixed, therefore plot equilatitude surfaces (i.e., pointsat which n3 has a fixed value).
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How to visualize vector fields?
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Cannot draw vectors at every point.
Flow lines do not make sense, because of global gaugeinvariance.
(In fact our vectors could live in another space, e.g., spin.)
Vector are represented by points on the sphere. We have onefixed direction, n at infinity, define it as the north pole, i.e,n∞ = (0, 0, 1). All other directions are defined by latitude andlongitude.
Latitude is invariant under global gauge rotations that keep thenorth pole fixed, therefore plot equilatitude surfaces (i.e., pointsat which n3 has a fixed value).
Longitudes are represented by colors on the equilatitudesurface. (Under a global gauge rotation only colors change).
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Isosurface n3 = 0 (equator) for |Q| = 1, 2
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3 ( q ) |Q| ,
Color order and handedness of twist determine Hopf charge.Inside the torus is the core, where n3 = −1.
These figures were made using the program funcs developed by
J. Ruokolainen at CSC, Espoo, Finland
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Results for linked unknots of charge 1+1
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g
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Deformation 5 + 4 − 2 → trefoil
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Energy evolution in minimization
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0 20000 40000 60000 80000
Number of iterations
0.0
100.0
200.0
300.0
400.0
500.0
600.0
700.0
T o t a l e
n e r g y
2+2+2
1+1+2
2+2−2
1−1+2 1−1−2
2−2+2
2−2−2
1+1−2
Ribbon knots in the Faddeev-Skyrme model – p.15/3
Vakulenko bound
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0 1 2 3 4 5 6 7 8
Q
0.96
0.98
1.00
1.02
1.04
1.06
1.08
1.10
E Q /
( E 1
Q 3 / 4 )
Filled circles give the best result (global minima) we have forgiven Hopf charge; open squares are the results of Battye and
Sutcliffe.
Ribbon knots in the Faddeev-Skyrme model – p.16/3
Different and improved final states
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Ribbon knots in the Faddeev-Skyrme model – p.17/3
Knot theory
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The proper knot theoretical setting is to use framed links.
Framing attached to a curve adds local information near thecurve, like twisting around it.
Ribbon knots in the Faddeev-Skyrme model – p.18/3
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Knot theory
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The proper knot theoretical setting is to use framed links.
Framing attached to a curve adds local information near thecurve, like twisting around it.
One way to describe framed liks is to use directed ribbons,which are preimages of line segments.
We could use equilatitude line segments, then increasing
latitude and longitude give two directions, their cross product theribbon direction.
Ribbon knots in the Faddeev-Skyrme model – p.18/3
Knot theory
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The proper knot theoretical setting is to use framed links.
Framing attached to a curve adds local information near thecurve, like twisting around it.
One way to describe framed liks is to use directed ribbons,which are preimages of line segments.
We could use equilatitude line segments, then increasing
latitude and longitude give two directions, their cross product theribbon direction.
In practice we often choose 4 points on equilongitude line near
the south pole (=core)
Ribbon knots in the Faddeev-Skyrme model – p.18/3
Example: ribbon view of Q = −1 unknot
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Four nearby points on the equator.These figures were made using OpenDX
Ribbon knots in the Faddeev-Skyrme model – p.19/3
Computing the charge
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For a ribbon define:
twist = linking number of the ribbon core with a ribbon boundary.
writhe = signed crossover number of the ribbon core with itself.
Ribbon knots in the Faddeev-Skyrme model – p.20/3
Computing the charge
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For a ribbon define:
twist = linking number of the ribbon core with a ribbon boundary.
writhe = signed crossover number of the ribbon core with itself.
linking number = 12 (sum of signed crossings)
Ribbon knots in the Faddeev-Skyrme model – p.20/3
Computing the charge
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For a ribbon define:
twist = linking number of the ribbon core with a ribbon boundary.
writhe = signed crossover number of the ribbon core with itself.
linking number = 12 (sum of signed crossings)
The Hopf charge can be determined either by
twist + writheorlinking number of the two ribbon boundaries.
Ribbon knots in the Faddeev-Skyrme model – p.20/3
Charge from the ribbon view, Q = −1
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Sign convention for crossings allows computing the charge.
In this case linking number of ribbon boundaries = −1.
Ribbon knots in the Faddeev-Skyrme model – p.21/3
Charge from the ribbon view, Q = −1
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Sign convention for crossings allows computing the charge.
In this case linking number of ribbon boundaries = −1.
On the right the ribbon has been turned vertical and isviewed from above: a twist in the ribbon becomes a crossing.
Ribbon knots in the Faddeev-Skyrme model – p.21/3
Charge from the ribbon view, Q = −1
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Sign convention for crossings allows computing the charge.
In this case linking number of ribbon boundaries = −1.
On the right the ribbon has been turned vertical and isviewed from above: a twist in the ribbon becomes a crossing.
Note that when considering equivalence of ribbon diagrams
type I Reidemeister move is not valid:
Ribbon knots in the Faddeev-Skyrme model – p.21/3
Ribbon view, Q = −2
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Two ways to get charge −2: twice around small vs. large circle.The first one has twist = −1, writhe = −1,
the second twist = −2, writhe = 0.
Both have boundary linking number = −2.
Ribbon knots in the Faddeev-Skyrme model – p.22/3
Example of ribbon deformation
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Ribbon knots in the Faddeev-Skyrme model – p.23/3
Close-up of the deformation process
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Ribbon knots in the Faddeev-Skyrme model – p.24/3
Diagrammatic rule
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Knot deformations correspond to ribbon deformations, e.g.,crossing and breaking, but the Hopf charge will be conserved.
Ribbon deformation can be seen if we look the sameconfiguration at different latitudes (the first example before), orat same latitude at different times (animations).
Ribbon knots in the Faddeev-Skyrme model – p.25/3
Deformation rule for physical ribbons
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Ribbon knots in the Faddeev-Skyrme model – p.26/3
Deformation rule for physical ribbons
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Ribbon knots in the Faddeev-Skyrme model – p.26/3
Deformation rule for physical ribbons
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Ribbon knots in the Faddeev-Skyrme model – p.26/3
Deformation rule for physical ribbons
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Ribbon knots in the Faddeev-Skyrme model – p.26/3
Deformation rule for physical ribbons
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Ribbon knots in the Faddeev-Skyrme model – p.26/3
Deformation rule for physical ribbons
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Ribbon knots in the Faddeev-Skyrme model – p.26/3
Ribbon connection rules
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Total Hopf charge = charges of individual unknots + linkingnumber.
Ribbon knots in the Faddeev-Skyrme model – p.27/3
Ribbon connection rules
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Total Hopf charge = charges of individual unknots + linkingnumber.
Unknots: Twisting the end on the right hand clockwise a fulltwist yields charge +1.
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Ribbon connection rules
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Total Hopf charge = charges of individual unknots + linkingnumber.
Unknots: Twisting the end on the right hand clockwise a fulltwist yields charge +1.
Linking number depends on the relative direction associatedwith the unknots:
Ribbon knots in the Faddeev-Skyrme model – p.27/3
Physically relevant extensions
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Faddeev’s model is hidden in more physical models:
Faddeev and Niemi (2000), electrically conducting plasmas
Cho et al (2001), QCD
Cho (2001), Weinberg-Salam model.
Babaev, Faddeev, Niemi (2002) =⇒
Cho (2002), Bose-Einstein condensates
Babaev (2002), triplet superconductors
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Example: Charged two-boson condensate
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Change of variables: Ψα =√
2mα ρχα, χ = (χ1, χ∗
2), |χ|2 = 1,
na = (χ, σaχ). Eliminate all χ dependence in favor of n. [Translate
A
→ cC
+ q(χ,∂χ)]
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References
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J. Hietarinta and P. Salo: Faddeev-Hopf knots: dynamics of linked unknots , Phys. Lett. B 451, 60-67 (1999).
J. Hietarinta and P. Salo: Ground state in the Faddeev-Skyrme
model , Phys. Rev. D 62, 081701(R) (2000).J. Hietarinta, J. Jäykkä and P. Salo: Dynamics of vortices and knots in Faddeev’s model , JHEP Proceedings:PrHEP unesp2002/17http://jhep.sissa.it/archive/prhep/preproceeding/
008/017/sp-proc.pdf
J. Hietarinta, J. Jäykkä and P.Salo: Relaxation of twisted
vortices in the Faddeev-Skyrme model , Phys. Lett. A 321,324-329 (2004)
Relevant video animations can be seen at
http://users.utu.fi/hietarin/knots/index.html
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