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General introduction to representation theory

Laurent C. Chapon

ISIS Facility, Rutherford Appleton Laboratory, UK

Representation theory

• Method for simplifying analysis of a problem in systems possessing some degree of symmetry.

• What is allowed vs. what is not allowed

Keyword : Invariance of the physical properties under

application of symmetry operators.

Spectroscopy

• Ground state characterized by φ0

• Excited state characterized by φ1

• Operator Ο

• Transition integral :

• The integrand must be invariant under

application of all symmetry operations

∫= 10 φφ OT

φ0

φ1

Use to predict vibration spectroscopic transitions

that can be observed

IR-Raman active modes

IR active, change in dipole moment Raman active, change in polarizability

CO2

∫= 10µφφT ∫= 10αφφT

Dipole moment operator Operator for polarizability

Crystal field

• Ce3+ 4f1 electronic configuration

• J=|L-S|=5/2

Cubic environmentFree ion

Ground state

multiplet ∫= 10 φφ iJT

∆J=0;+1;-1

MO-LCAO

∑=Ψr

iicφ

The molecular orbitals of polyatomic species are linear

combinations of atomic orbitals:

If the molecule has symmetry,

group theory predicts which atomic orbitals can contribute to each molecular orbital.

3 HN

a1 (2pz)

a1 (2s)

e (2px, 2py)

e

a1 2s1 - s2 - s3

- s2 + s3

-25.6 eV

-15.5 eV

-13.5 eV

s1 + s2 + s33a1

1e

2e

-17.0 eV

2a1-31.0 eV

4a1

MO-LCAO

SALCs of

H atoms

Orbitals of

Central atom

Phase transitions in solidsPhase transitions often take place between phases of different symmetry.

High symmetry phase, Group G0

Low symmetry phase, Group G1

• This is a “spontaneous” symmetry-breaking process.

• Transition are classified as either 1st order (latent heat) or 2d order (or continuous)

(T,P)

A simple example: Paramagnetic -> Ferromagnetic transition

“Time-reversal” is lost

• Symmetry under reversal

of the electric current

Landau theory

• Ordering is characterized by a function ρ(x) that changes at the transition.

•Above Tc, ρ0(x) is invariant under all operations of G0

•Below Tc, ρ1(x) is invariant under all operations of G1

• At T=Tc, all the coefficients cin vanish

)('

01 xcn i

n

i

n

i∑∑ Φ=−= ρρδρ Basis functions of irreducible

Representation of G0.

Landau theory (2)

-100 -50 0 50 100

E

η

.......))((2

1 42

0 ++−+Φ=Φ ηη CTTTa c

T>Tc

In a second order phase transition,

a single symmetry mode is involved.

...........)(),(2

'

0 ++Φ=Φ ∑ ∑n i

n

i

n cTPA

Φ is invariant under operations of G, each order of the expansion can be written

is given by some polynomal invariants of cin.

• Thermodynamic equilibrium requires that all A are >0

above Tc.

• In order to have broken symmetry, one A has to change

sign at the transition.

Outline

1. Symmetry elements and operations

2. Symmetry groups (molecules)

3. Representation of a group

4. Irreducible representations (IR)

5. Decomposition into IRs

6. Projection

7. Space groups

Inversion point i ( )1

Change coordinates of a point (x,y,z) to (-x,-y,-z)

Mirror planes

σh

σv σd

Proper rotation Cn (n)

Fe(C5H5)2

5-fold axis

Rotation axis of order n

1)-nk(1 ≤≤k

nCRotation of 2πk/n

Improper rotation Sn( )nCombination of two successive operations:

1) Rotation Cn around an axis.

2) Mirror operation in a plane perpendicular to rotation axis

S4 in tetrahedral geometry

Group structure

• Collection of elements for which an associative lawof combination is defined and such that for any pair of elements g and h, the product gh is also element of the collection

• It contains a unitary element, E, such that gE=g

• Every element g has an inverse, noted g-1 such that gg-1=E.

The order of a group is simply the number of elements in a group.

We will note the order of a group h.

Multiplication tableFour different operations:

• E

• σ(xz)• σ(yz)• C2(z)

EC2(z)σ(xz)σ(yz)σ(yz)

C2(z)Eσ(yz)σ(xz)σ(xz)

σ(xz)σ(yz)EC2(z)C2(z)

σ(yz)σ(xz)C2(z)EE

σ(yz)σ(xz)C2(z)E

Classes

Symmetry operations:

2

31

1

3

1

1

321

2

3

1

3 ,,,,,

CC

CCE

vv

vvv

=− σσ

σσσ

Similarity transform: gxxh 1−=

The set of elements that are all conjugate to one another is called a (conjugacy) class.

g and h are conjugate

Determination of G

Linear?

2 Cn

n>2?i?

i?

i?

C5

Select

Cn of highest n

nC2⊥⊥⊥⊥Cn?

Cn?

σσσσh?

nnnnσσσσd?

σσσσh?

nnnnσσσσv?

σσσσ?

S2n?

D∞h C∞v

TdOhIh

Dnh

Dnd Dn

Cnh

Cnv

S2n Cn

Ci C1

Cs

y

y

y

y

y

y

y

y

y

yy

y

y y

• 1 C5

• 5 C2

• 5 σv• 1 σh

Flow chart (Cotton)

Representation of G

A group G is represented in a vector space E, of dimension n,

if we form an homomorphism D from G to GLn(E) :

( ) 11

11

−=∈∀

=

=∈∀

∈∈∀

D(g)) G, D(g g

)D(

D(g)D(g') G, D(gg') g,g'

(E) GLD(g) G, g g

-

na

Matrices

• If a basis of E is chosen, then we can write D(g) as n by n matrices.

• We will note Dαβ(g) the matrix elements (line α, row β)

....

....

....

....

β

α

Character

....

....

....

.... The trace (sum of diagonal elements)

is noted χ.

(g)Dχ(g)α

αα∑=

Important reminder :

D’=P-1DP

Matrices that are conjugate to one another

have the same trace.

Example : H2O modes

A symmetry operation produces linear transformations in the vector space E.

H2O- E

=

O1z

O1y

O1x

H2z

H2y

H2x

H1z

H1y

H1x

100000000

010000000

001000000

000100000

000010000

000001000

000000100

000000010

000000001

O1z'

O1y'

O1x'

H2z'

H2y'

H2x'

H1z'

H1y'

H1x'

χ(E)=9

H2O- C2-axis

=

O1z

O1y

O1x

H2z

H2y

H2x

H1z

H1y

H1x

100000000

010000000

001000000

000000100

000000010

000000001

000100000

000010000

000001-000

O1z'

O1y'

O1x'

H2z'

H2y'

H2x'

H1z'

H1y'

H1x'

χ(C2)=-1

H2O-σ(xz)

=

O1z

O1y

O1x

H2z

H2y

H2x

H1z

H1y

H1x

100000000

010000000

001000000

000100000

000010000

000001000

000000100

000000010

000000001

O1z'

O1y'

O1x'

H2z'

H2y'

H2x'

H1z'

H1y'

H1x'

χ(σ(xz))=3

Matrix multiplication

=

100000000

010000000

001000000

000000100

000000010

000000001

000100000

000010000

000001000

100000000

010000000

001000000

000000100

000000010

000000001

000100000

000010000

000001000

100000000

010000000

001000000

000100000

000010000

000001000

000000100

000000010

000000001

C2(z)σ(xz) σ(yz)x =

Irreducible representations (IRs)

D is a representation of a group in a space E.

D is reducible if it leaves at least one subspace of E invariant, otherwise the representation is irreducible.

∑⊕

⊕== ......21 EEEE i

Every element of E can be written in one and only one way

as a sum of elements of Ei.

IRs

• In matrix terms:

A representation is reducible if one can find a similarity transformation (change of basis) that send all the matrices D(g) to the same block-diagonal form.

0

0

Properties of block diagonal matrices

0

0

0

0x

D1 D2

Corresponding blocks are multiplied separately.

=

0

0

IRs• In a finite group, there is a limited number of IRs.

( )∑ =i

i hl2

0-12E

-111A2

111A1

3σv2C3EC3v

Character tables• In a finite group, there is a limited number of IRs.

• IRs are described in character tables:

A table that list the symmetry operations horizontally, IRs labels vertically and corresponding characters.

0-12E

-111A2

111A1

3σv2C3EC3v

Conjugacy classes

Great Orthogonality theorem

''''

)*()( ββααβααβ δδδ ij

ji

j

Gg

i

ll

hgDgD =∑

• For two given IRs Di and Dj, of dimension li and lj respectively.

( )

0)()(

)(

2

=

=

Gg

ji

Gg

i

gg

hg

χχ

χ

GOT

D is a reducible representation.

The number of times that a representation i appears in a decomposition is :

)(*)(1

ggh

nGg

ii χχ∑∈

=

0-12E

103D

-111A2

111A1

3σv2C3EC3v

nA1=1/6(3*1+2*1*0+3*1*1)=1

nA2=1/6(3*1+2*1*0+3*-1*1)=0

nE =1/6(3*1+2*-1*0+3*0*1)=1

Projection

ggDPGg

ˆ)(ˆ *∑∈

= λµνλ

• Project a vector of the vector space into the space of the IR to find the

symmetry adapted vectors.

* indicates complex conjugate

Integrals

∫∞

∞−

dxxf )(

y

x

f(x)

y

x

f(x)

Space group Symmetry operations

• Use the Seitz notation αααα|tαααα

−α rotational part (proper or improper)

− tα translational part

α|τα β|τβ=αβ|αtβ+tα

Space group: infinite number of symmetry operations

Group of translation T

........ 200|1 |1 010|1 100|1 000|1 tΤ

•Infinite abelian group•Infinite number of irreducible representations, and consists of the complex root of unity.Basis are Bloch functions.

ΓK …………………………….

……

e-ikt

)().()()(|1

on) translatilattice a is ( )()(

).()(

)( reetrutrrt

trutru

erur

kikttrik

k

kk

kk

ikr

k

k

Φ=−=−Φ=Φ

=+

−−

Space group

Consider a symmetry element g=h|t and a Bloch-function Φ’:

(r)hkΦΦ

uhkikuikhkuikh

k

k

k

ikr

k

k

erthereth

ruhth

rthuu

rth

erur

function bloch a is '

')(|)(|

)(|1|

)(||1'|1

)(|'

)()(

)(

1

11

φφφ

φ

φφ

φφ

φ

−−−

===

=

=

=

=

−−

Little group Gk

• By applying the rotational part of the symmetry elements of the paramagnetic group, one founds a set of k vectors, known as the “star of k”

• Two vectors k1 and k2 are equivalent if they equal or related by a reciprocal lattice vector.

• In the general case, if all vectors k1, k2,……ki in the star are not equivalent, the functions Φki are linearly independent.

• The group generated from the point group operations that leave k invariant elements + translations is called the group of the propagation vector k or little group and noted Gk.

• In Gk, the functions Φki are not all linearly independent, and the representation is reducible.

IRs of Gk

Tabulated (Kovalev tables) or calculable

for all space group and all k vectors for

finite sets of point group elements h

Despite the infinite number of

atomic positions in a crystal

symmetry elements in a space group

…a representation theory of space groups is feasible using Bloch

functions associated to k points of the reciprocal space. This means

that the group properties can be given by matrices of finite

dimensions for the

- Reducible (physical) representations can be constructed on the

space of the components of a set of generated points in the zero cell.

- Irreducible representations of the Group of vector k are

constructed from a finite set of elements of the zero-block.

Orthogonalization procedures explained previously can be

employed to construct symmetry adapted functions

Symmetry analysisExample 1

• Space group P4mm, k=0, Magnetic site 2c

1

1

1

1

1

1

1x

1y1z+

2x

2y2z+

1|000

1

1

1

1

1

1

2z|000

1x

1y1z+

2x

2y

2z+

1

1

1

1

1

1

4z+|000

1x

1y

1z+

2x

2y

2z+

1

1

1

1

1

1

4z-|000

1x

1y

1z+

2x

2y

2z+

1

1

1

1

1

1

mx0z|000

2x

2y

2z-

1y

1x

1z-

1

1

1

1

1

1

m0yz|000

2x

2y2z-

1y

1x

1z-

1

1

1

1

1

1

mx-xz|000

1x

1y

1z-

2x

2y

2z-

mxxz|000

1x

1y

1z-

2y

2x 2z-

1

1

1

1

1

1

IRs

Irs/SO 1|000 2_00z|000 4+_00z|000 4-_00z|000 m_x0z|000 m_0yz|000 m_x-xz|000 m_xxz|000

--------------------------------------------------------------------------------------------------------------------------------------------------------------

ΓΓΓΓ1 1 1 1 1 1 1 1 1

ΓΓΓΓ2 1 1 1 1 -1 -1 -1 -1

ΓΓΓΓ3 1 1 -1 -1 1 1 -1 -1

ΓΓΓΓ4 1 1 -1 -1 -1 -1 1 1

ΓΓΓΓ5 1 0 -1 0 i 0 -i 0 0 1 0 -1 0 -i 0 i

0 1 0 -1 0 -i 0 i 1 0 -1 0 i 0 -i 0

χ(Γχ(Γχ(Γχ(Γ) 6 ) 6 ) 6 ) 6 −−−−2 0 0 2 0 0 2 0 0 2 0 0 −−−−2 2 2 2 −−−−2222 0 00 00 00 0

Decomposition into IRs

2)0000020200002226(8

1)(

1)1010121210101216(8

1)(

0)1010121210101216(8

1)(

1)1010121210101216(8

1)(

0)1010121210101216(8

1)(

5

4

3

2

1

=×+×+×−×−×+×+−×−×=Γ

=×+×+−×−−×−−×+−×+×−×=Γ

=−×+−×+×−×−−×+−×+×−×=Γ

=−×+−×+−×−−×−×+×+×−×=Γ

=×+×+×−×−×+×+×−×=Γ

η

η

η

η

η

542 2Γ⊕Γ⊕Γ=Γ

Projection onto Γ2

)2|1(|42|2|1|1|2|2|1|1|1|

02|2|1|1|2|2|1|1|1|

02|2|1|1|2|2|1|1|1|

>+>>=+>+>+>+>+>+>+>>=

>=+>−>+>−>+>−>−>>=

>=+>−>−>+>−>+>−>>=

zzzzzzzzzzzP

xxyyxxyyyP

yyxxyyxxxP

1z+

2z+

Shubnikov notation P4m’m’

Projection onto Γ4

)2|1(|42|2|1|1|2|2|1|1|1|

02|2|1|1||2|21|1|1|

02|2|1|1|2|2|1|1|1|

>−>>=−>−>+>+>−>−>+>>=

>=−>+>+>−>−>+>−>>=

>=−>+>−>+>+>−>−>>=

zzzzzzzzzzzP

xxyyxxyyyP

yyxxyyxxxP

1z+

2z-

Shubnikov notation P4’mm’

))(2|1(|21|

))(2|1(|21|

matrices theof elements (2,2) theusing Projection

))(1|2(|21|1|2|2|2|

))(1|2(|21|1|2|2|2|

02|2|1|1|1|

))(2|1(|22|2|1|1|1|

))(2|1(|22|2|1|1|1|

matrices theof elements (1,1) theusing Projection

4

3

1

2

2

1

φ

φ

φ

φ

φ

φ

>−>>=

>+>>=

−>+>>=+>+>+>>=

>−>>=−>−>+>>=

>=+>−>−>>=

>+>>=+>+>+>>=

>−>>=−>−>+>>=

xiyyP

yixxP

ixiyxixiyyyP

iyixyiyixxxP

zizizzzP

xiyxixiyyyP

yixyiyixxxP

Projection onto Γ5

The magnetic modes can be any linear combinationsof φ1, φ2, φ3, φ4

Symmetry analysisExample 2

• Space group P21/m, k=(0,δ,0) Magnetic site 4f

1

2

3

4

Little Group GK

Operation of the point group on the propagation vector• Identity k=(0,δ,0)• 2-fold axis k=(0,δ,0)• Inversion -k=(0,-δ,0)• Mirror -k=(0,-δ,0)

• Only 1|000 and 2y|0½0 belong to GK

• 4f sites are split into two orbits : (1,2) and (3,4) since no operations of Gk transform sites of the first orbit into that of the second orbit

IRs of Gk------------------------------------------

Irs/SO 1|000 2y|0½0

------------------------------------------

ΓΓΓΓ1 1 eiπδ

ΓΓΓΓ2 1 - eiπδ

Perform representation analysis for the first orbit. For identity, it is trivial.

2y|0½0

• |1x> is transformed into -|2x>

• |1y> is transformed into |2y>

• |1z> is transformed into -|2z>

1

1

1

1

1

1

Decomposition into IRs

3)016(2

1)(

3)016(2

1)(

2

1

=−×+×=Γ

=×+×=Γ

πδ

πδ

η

η

i

i

e

e

Projection onto Γ1

>−>>=

>+>>=

>−>>=

zezzP

yeyyP

xexxP

i

i

i

2|1|1|

2|1|1|

2|1|1|

πδ

πδ

πδ

1

2

+

+

Projection onto Γ2

>+>>=

>−>>=

>+>>=

zezzP

yeyyP

xexxP

i

i

i

2|1|1|

2|1|1|

2|1|1|

πδ

πδ

πδ

1

2

+

-

The same can be done for the second orbit

Magnetic diffraction

L.C.Chapon

ISIS Facility, Rutherford Appleton Laboratory, UK

Outline

• Nuclear scattering

• Magnetic scattering using a non-polarized neutron beam

• Type of magnetic structures (FStudio)

• Instrumentation

Scattering cross sections

k

z

y

x

Incident flux Φ of neutron of wavevector k.Neutron is in the initial state λAfter scattering the neutron wavevector is k’ and the neutron is in the state λ’

Partial differential cross section:

'

2

dEd

d

Ωσ Number of neutrons scattered per second

into a solid angle dΩ and with final energy between E’ and E’+dE’/(ΦdΩdE’)

Differential cross section:

Ωd

dσ Number of neutrons scattered per secondinto a solid angle dΩ/(ΦdΩ)

Scattering cross sections

)'(''2

'

''

22

2

2

EEEEkVkm

k

k

dEd

d−+−

=Ω λλδλλ

πσ

h

In the Born approximation:

Incident neutron with wavevector k and state λScattered neutron with wavevector k’ and state λ’

Elastic nuclear scattering

Hr

In the Born approximation, the scattered intensity is given by:

The interaction between the neutron and the atomic nucleus is represented by the Fermi pseudo-potential, a scalar field.

=Ωd

Elastic magnetic scattering

Hr

kr

Cross sections

××∇−=−=

×∇==

×=

2

0

2

0

ˆ.

42.

ˆ

4)(

R

RsBV

AcurlAB

R

RRA

BNn

e

σπµ

µγµµ

µπµ

qdeqsqR

Rs Rqi rrr

r rr

.ˆˆ2

22 ∫ ××=

××∇

π

ri

r

R

ith electron

neutron

>< σσ k|V|'k'

:element matrix theevaluate toneed wecase, magnetic In the

m

The magnetic structure we will consider must have a moment distribution that can be expanded in Fourier series.

( ) jri

kj

j

j eSfpMrrrrrr ⋅∑= κπκκ 2

)(

Unit-cell magnetic structure factor:

∑ ⋅−=

k

Rki

kjljleSmrrrr π2

.

Magnetic interaction vector

κκκκrrrrrr

××= )()( MQ

Magnetic interaction vector:

)(κrr

M

κr

)(κrr

Q

The intensity of a magnetic Bragg peak I:

)()( * κκrrrr

QQI ⋅∝

Magnetic form factor

http://neutron.ornl.gov/~zhelud/useful/formfac/index.html

In the dipole approximation:

International Tables of Crystallography, Volume C,ed. by AJC Wilson, Kluwer Ac. Pub., 1998, p. 513

><−+>=< )()2

1()()( 20 Qjg

QjQf

Notations

magneton) B(2

electron theofmoment dipole magnetic

1.913

magneton)nuclear (2

neutron theofmoment dipole magnetic

n vectorinteractio Magnetic

factor structure Magnetic

vectorscattering

B

e

N

n

ohrm

e

m

e

)(M)(Q

)(M

e

p

h

h

r

rrrr

rr

r

=

=

=

≡ ⊥

µ

µγ

µ

µ

κκ

κ

κ

Visualize magnetic structure with FStudio

Laurent C. Chapon

ISIS Facility, Rutherford Appleton Laboratory, UK

J. Rodriguez-Carvajal

ILL, France

Ions with intrinsic magnetic moments

core

Ni2+

Atoms/ions with unpaired electrons

Intra-atomic electron correlation

Hund’s rule: maximum S/J

m = gJ J (rare earths)

m = gS S (transition metals)

What is a magnetic structure?Paramagnetic state:

Snapshot of magnetic moment configuration

Jij

S Sij ij i jE J=− ⋅

0Si =

What is a magnetic structure?

Ordered state: Anti-ferromagnetic

Small fluctuations (spin waves) of the static configuration

S Sij ij i jE J=− ⋅

Jij0Si ≠

Magnetic structure:

Quasi-static configuration of magnetic moments

Types of magnetic structuresFerro Antiferro

Very often magnetic structures are complex due to :

- competing exchange interactions (i.e. RKKY)

- geometrical frustration

- competition between exchange and single ion anisotropies

-……………………..

Types of magnetic structures

“Transverse”

“Longitudinal”

Amplitude-modulated or Spin-Density Waves

Types of magnetic structures

Spiral

Cycloid

Types of magnetic structures

Conical

Shubnikov magnetic groups, are limited

to:

- Commensurate magnetic structure.

- Real representation of dimension 1.

Position of atom j in unit-cell l

is given by:

Rlj=Rl+rj where Rl is a pure

lattice translation

Formalism of prop. Vector : Basics

Rl

rj

mlj

∑ −=k

k kRSm ljlj iexp π2

∗= jj kk- SS

Necessary condition for real mlj

cb acb arRR jjjjllj zyxlll +++++=+= 321

Formalism of prop. Vector : Basics

Rl

rj

mlj

Formalism of prop. Vector : Basics

A magnetic structure is fully described by:

- Wave-vector(s) k.

- Fourier components Skj for each magnetic atom j and wave-vector k.

Skj is a complex vector (6 components) !!!

- Phase for each magnetic atom j, ΦΦΦΦkj

2k k

k

m S kR Slj j l jexp iπ= − =∑• The magnetic structure may be described within the

crystallographic unit cell

• Magnetic symmetry: conventional crystallography plus

time reversal operator: crystallographic magnetic groups

Single propagation vector

k = (0,0,0)

( ) )(2

ln

jljlj -1iexp k

k

k SkRSm =−=∑ π

REAL Fourier coefficients ≡ magnetic moments

The magnetic symmetry may also be described using

crystallographic magnetic space groups

Single propagation vector

k=1/2 H

12

2k kS uj j j jm exp( i )π φ= −

- k interior of the Brillouin zone (pair k, -k)

- Real Sk, or imaginary component in the same direction as the real

one

2 2k -km S kR S kRlj j l j lexp( i ) exp( i )π π= − +

km u kRlj j j l jm cos2 ( )π φ= +

Fourier coef. of sinusoidal structures

12

2k kS u vj uj j vj j jm im exp( i )π φ = + −

- k interior of the Brillouin zone

- Real component of Sk perpendicular to the imaginary

component

k km u kR v kRlj uj j l j vj j l jm cos2 ( ) m sin2 ( )π φ π φ= + + +

Fourier coefficients of helical structures

Centred cells!

k=(1,0,0) or (0,1,0) !!!!!

Examples. Fstudio

LATTICE P

K 0.5 0.0 0.0

SYMM x,y,z

MSYM u,v,w,0.0

MATOM Ce1 CE 0.0 0.0 0.0

SKP 1 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0

Type of lattice P, C, I, F…..

Propagation vector(s)

List of symmetry operators with associated magnetic

operator

Magnetic atom

Fourier coefficients and phase

www.ill.fr/dif

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