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The free energy of the quantum Heisenberg ferromagnet: validity of - - PowerPoint PPT Presentation

The free energy of the quantum Heisenberg ferromagnet: validity of the spin wave approximation Alessandro Giuliani Based on joint work with M. Correggi and R. Seiringer Warwick, March 19, 2014 Outline 1 Introduction: continuous symmetry


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SLIDE 1

The free energy of the quantum Heisenberg ferromagnet: validity of the spin wave approximation Alessandro Giuliani

Based on joint work with

  • M. Correggi and R. Seiringer

Warwick, March 19, 2014

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SLIDE 2

Outline

1 Introduction: continuous symmetry breaking and spin waves 2 Main results: free energy at low temperatures 3 Sketch of the proof: upper and lower bounds

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Outline

1 Introduction: continuous symmetry breaking and spin waves 2 Main results: free energy at low temperatures 3 Sketch of the proof: upper and lower bounds

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SLIDE 4

Spontaneous symmetry breaking General question: rigorous understanding of the phenomenon of spontaneous breaking of a continuous symmetry. Easier case: abelian continuous symmetry.

Several rigorous results based on: reflection positivity, vortex loop representation cluster and spin-wave expansions, by Fr¨

  • hlich-Simon-Spencer, Dyson-Lieb-Simon, Bricmont-Fontaine-
  • Lebowitz-Lieb-Spencer, Fr¨
  • hlich-Spencer, Kennedy-King, ...
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SLIDE 5

Spontaneous symmetry breaking General question: rigorous understanding of the phenomenon of spontaneous breaking of a continuous symmetry. Easier case: abelian continuous symmetry.

Several rigorous results based on: reflection positivity, vortex loop representation cluster and spin-wave expansions, by Fr¨

  • hlich-Simon-Spencer, Dyson-Lieb-Simon, Bricmont-Fontaine-
  • Lebowitz-Lieb-Spencer, Fr¨
  • hlich-Spencer, Kennedy-King, ...
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SLIDE 6

Spontaneous symmetry breaking General question: rigorous understanding of the phenomenon of spontaneous breaking of a continuous symmetry. Easier case: abelian continuous symmetry.

Several rigorous results based on: reflection positivity, vortex loop representation cluster and spin-wave expansions, by Fr¨

  • hlich-Simon-Spencer, Dyson-Lieb-Simon, Bricmont-Fontaine-
  • Lebowitz-Lieb-Spencer, Fr¨
  • hlich-Spencer, Kennedy-King, ...
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SLIDE 7

Spontaneous symmetry breaking General question: rigorous understanding of the phenomenon of spontaneous breaking of a continuous symmetry. Easier case: abelian continuous symmetry.

Several rigorous results based on: reflection positivity, vortex loop representation cluster and spin-wave expansions, by Fr¨

  • hlich-Simon-Spencer, Dyson-Lieb-Simon, Bricmont-Fontaine-
  • Lebowitz-Lieb-Spencer, Fr¨
  • hlich-Spencer, Kennedy-King, ...
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SLIDE 8

Spontaneous symmetry breaking General question: rigorous understanding of the phenomenon of spontaneous breaking of a continuous symmetry. Easier case: abelian continuous symmetry.

Several rigorous results based on: reflection positivity, vortex loop representation cluster and spin-wave expansions, by Fr¨

  • hlich-Simon-Spencer, Dyson-Lieb-Simon, Bricmont-Fontaine-
  • Lebowitz-Lieb-Spencer, Fr¨
  • hlich-Spencer, Kennedy-King, ...
slide-9
SLIDE 9

Spontaneous symmetry breaking General question: rigorous understanding of the phenomenon of spontaneous breaking of a continuous symmetry. Easier case: abelian continuous symmetry.

Several rigorous results based on: reflection positivity, vortex loop representation cluster and spin-wave expansions, by Fr¨

  • hlich-Simon-Spencer, Dyson-Lieb-Simon, Bricmont-Fontaine-
  • Lebowitz-Lieb-Spencer, Fr¨
  • hlich-Spencer, Kennedy-King, ...
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SLIDE 10

Spontaneous symmetry breaking General question: rigorous understanding of the phenomenon of spontaneous breaking of a continuous symmetry. Easier case: abelian continuous symmetry.

Several rigorous results based on: reflection positivity, vortex loop representation cluster and spin-wave expansions, by Fr¨

  • hlich-Simon-Spencer, Dyson-Lieb-Simon, Bricmont-Fontaine-
  • Lebowitz-Lieb-Spencer, Fr¨
  • hlich-Spencer, Kennedy-King, ...
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SLIDE 11

Spontaneous symmetry breaking Harder case: non-abelian symmetry.

Few rigorous results on: classical Heisenberg (Fr¨

  • hlich-Simon-Spencer by RP)

quantum Heisenberg antiferromagnet (Dyson-Lieb-Simon by RP) classical N-vector models (Balaban by RG)

Notably absent: quantum Heisenberg ferromagnet

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SLIDE 12

Spontaneous symmetry breaking Harder case: non-abelian symmetry.

Few rigorous results on: classical Heisenberg (Fr¨

  • hlich-Simon-Spencer by RP)

quantum Heisenberg antiferromagnet (Dyson-Lieb-Simon by RP) classical N-vector models (Balaban by RG)

Notably absent: quantum Heisenberg ferromagnet

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SLIDE 13

Spontaneous symmetry breaking Harder case: non-abelian symmetry.

Few rigorous results on: classical Heisenberg (Fr¨

  • hlich-Simon-Spencer by RP)

quantum Heisenberg antiferromagnet (Dyson-Lieb-Simon by RP) classical N-vector models (Balaban by RG)

Notably absent: quantum Heisenberg ferromagnet

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SLIDE 14

Spontaneous symmetry breaking Harder case: non-abelian symmetry.

Few rigorous results on: classical Heisenberg (Fr¨

  • hlich-Simon-Spencer by RP)

quantum Heisenberg antiferromagnet (Dyson-Lieb-Simon by RP) classical N-vector models (Balaban by RG)

Notably absent: quantum Heisenberg ferromagnet

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SLIDE 15

Spontaneous symmetry breaking Harder case: non-abelian symmetry.

Few rigorous results on: classical Heisenberg (Fr¨

  • hlich-Simon-Spencer by RP)

quantum Heisenberg antiferromagnet (Dyson-Lieb-Simon by RP) classical N-vector models (Balaban by RG)

Notably absent: quantum Heisenberg ferromagnet

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SLIDE 16

Spontaneous symmetry breaking Harder case: non-abelian symmetry.

Few rigorous results on: classical Heisenberg (Fr¨

  • hlich-Simon-Spencer by RP)

quantum Heisenberg antiferromagnet (Dyson-Lieb-Simon by RP) classical N-vector models (Balaban by RG)

Notably absent: quantum Heisenberg ferromagnet

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SLIDE 17

Quantum Heisenberg ferromagnet The simplest quantum model for the spontaneous symmetry breaking of a continuous symmetry: HΛ :=

  • x,y⊂Λ

(S2 − Sx · Sy)

where: Λ is a cubic subset of Z3 with (say) periodic b.c.

  • Sx = (S1

x , S2 x , S3 x ) and Si x are the generators of a (2S + 1)-dim

representation of SU(2), with S = 1

2, 1, 3 2, ...:

[Si

x, Sj y] = iǫijkSk x δx,y

The energy is normalized s.t. inf spec(HΛ) = 0.

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Quantum Heisenberg ferromagnet The simplest quantum model for the spontaneous symmetry breaking of a continuous symmetry: HΛ :=

  • x,y⊂Λ

(S2 − Sx · Sy)

where: Λ is a cubic subset of Z3 with (say) periodic b.c.

  • Sx = (S1

x , S2 x , S3 x ) and Si x are the generators of a (2S + 1)-dim

representation of SU(2), with S = 1

2, 1, 3 2, ...:

[Si

x, Sj y] = iǫijkSk x δx,y

The energy is normalized s.t. inf spec(HΛ) = 0.

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SLIDE 19

Quantum Heisenberg ferromagnet The simplest quantum model for the spontaneous symmetry breaking of a continuous symmetry: HΛ :=

  • x,y⊂Λ

(S2 − Sx · Sy)

where: Λ is a cubic subset of Z3 with (say) periodic b.c.

  • Sx = (S1

x , S2 x , S3 x ) and Si x are the generators of a (2S + 1)-dim

representation of SU(2), with S = 1

2, 1, 3 2, ...:

[Si

x, Sj y] = iǫijkSk x δx,y

The energy is normalized s.t. inf spec(HΛ) = 0.

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SLIDE 20

Quantum Heisenberg ferromagnet The simplest quantum model for the spontaneous symmetry breaking of a continuous symmetry: HΛ :=

  • x,y⊂Λ

(S2 − Sx · Sy)

where: Λ is a cubic subset of Z3 with (say) periodic b.c.

  • Sx = (S1

x , S2 x , S3 x ) and Si x are the generators of a (2S + 1)-dim

representation of SU(2), with S = 1

2, 1, 3 2, ...:

[Si

x, Sj y] = iǫijkSk x δx,y

The energy is normalized s.t. inf spec(HΛ) = 0.

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SLIDE 21

Ground states One special ground state is |Ω := ⊗x∈Λ|S3

x = −S

All the other ground states have the form (S+

T )n|Ω,

n = 1, . . . , 2S|Λ| where S+

T = x∈Λ S+ x and S+ x = S1 x + iS2 x .

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Ground states One special ground state is |Ω := ⊗x∈Λ|S3

x = −S

All the other ground states have the form (S+

T )n|Ω,

n = 1, . . . , 2S|Λ| where S+

T = x∈Λ S+ x and S+ x = S1 x + iS2 x .

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Excited states: spin waves A special class of excited states (spin waves) is

  • btained by raising a spin in a coherent way:

|1k := 1

  • 2S|Λ|
  • x∈Λ

eikxS+

x |Ω ≡

1 √ 2S ˆ S+

k |Ω

where k ∈ 2π

L Z3. They are such that

HΛ|1k = Sǫ(k)|1k where ǫ(k) = 2 3

i=1(1 − cos ki).

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SLIDE 24

Excited states: spin waves A special class of excited states (spin waves) is

  • btained by raising a spin in a coherent way:

|1k := 1

  • 2S|Λ|
  • x∈Λ

eikxS+

x |Ω ≡

1 √ 2S ˆ S+

k |Ω

where k ∈ 2π

L Z3. They are such that

HΛ|1k = Sǫ(k)|1k where ǫ(k) = 2 3

i=1(1 − cos ki).

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SLIDE 25

Excited states: spin waves More excited states? They can be looked for in the vicinity of |{nk} =

  • k

(2S)−nk/2(ˆ S+

k )n+

√nk! |Ω If N =

k nk > 1, these are not eigenstates.

They are neither normalized nor orthogonal. However, HΛ is almost diagonal on |{nk} in the low-energy (long-wavelengths) sector.

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Excited states: spin waves More excited states? They can be looked for in the vicinity of |{nk} =

  • k

(2S)−nk/2(ˆ S+

k )n+

√nk! |Ω If N =

k nk > 1, these are not eigenstates.

They are neither normalized nor orthogonal. However, HΛ is almost diagonal on |{nk} in the low-energy (long-wavelengths) sector.

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SLIDE 27

Excited states: spin waves More excited states? They can be looked for in the vicinity of |{nk} =

  • k

(2S)−nk/2(ˆ S+

k )n+

√nk! |Ω If N =

k nk > 1, these are not eigenstates.

They are neither normalized nor orthogonal. However, HΛ is almost diagonal on |{nk} in the low-energy (long-wavelengths) sector.

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SLIDE 28

Spin waves Expectation: low temperatures ⇒ ⇒ low density of spin waves ⇒ ⇒ negligible interactions among spin waves. The linear theory obtained by neglecting spin wave interactions is the spin wave approximation, in very good agreement with experiment.

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Spin waves Expectation: low temperatures ⇒ ⇒ low density of spin waves ⇒ ⇒ negligible interactions among spin waves. The linear theory obtained by neglecting spin wave interactions is the spin wave approximation, in very good agreement with experiment.

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SLIDE 30

Spin waves In 3D, it predicts f (β) ≃ 1 β

  • d3k

(2π)3 log(1 − e−βSǫ(k)) m(β) ≃ S −

  • d3k

(2π)3 1 eβSǫ(k) − 1

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SLIDE 31

Spin waves In 3D, it predicts f (β) ≃

β→∞ β−5/2S−3/2

  • d3k

(2π)3 log(1 − e−k2) m(β) ≃

β→∞ S − β−3/2S−3/2

  • d3k

(2π)3 1 ek2 − 1 How do we derive these formulas?

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Spin waves In 3D, it predicts f (β) ≃

β→∞ β−5/2S−3/2

  • d3k

(2π)3 log(1 − e−k2) m(β) ≃

β→∞ S − β−3/2S−3/2

  • d3k

(2π)3 1 ek2 − 1 How do we derive these formulas?

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Holstein-Primakoff representation A convenient representation: S+

x =

√ 2S a+

x

  • 1 − a+

x ax

2S , S3

x = a+ x ax − S,

where [ax, a+

y ] = δx,y are bosonic operators.

Hard-core constraint: nx = a+

x ax ≤ 2S.

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SLIDE 34

Holstein-Primakoff representation A convenient representation: S+

x =

√ 2S a+

x

  • 1 − a+

x ax

2S , S3

x = a+ x ax − S,

where [ax, a+

y ] = δx,y are bosonic operators.

Hard-core constraint: nx = a+

x ax ≤ 2S.

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SLIDE 35

Holstein-Primakoff representation In the bosonic language HΛ = S

  • x,y
  • −a+

x

  • 1 − nx

2S

  • 1 − ny

2S ay −a+

y

  • 1 − ny

2S

  • 1 − nx

2S ax + nx + ny − 1 S nxny

  • ≡ S
  • x,y

(a+

x − a+ y )(ax − ay) − K ≡ T − K

The spin wave approximation consists in neglecting K and the on-site hard-core constraint.

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SLIDE 36

Holstein-Primakoff representation In the bosonic language HΛ = S

  • x,y
  • −a+

x

  • 1 − nx

2S

  • 1 − ny

2S ay −a+

y

  • 1 − ny

2S

  • 1 − nx

2S ax + nx + ny − 1 S nxny

  • ≡ S
  • x,y

(a+

x − a+ y )(ax − ay) − K ≡ T − K

The spin wave approximation consists in neglecting K and the on-site hard-core constraint.

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SLIDE 37

Holstein-Primakoff representation In the bosonic language HΛ = S

  • x,y
  • −a+

x

  • 1 − nx

2S

  • 1 − ny

2S ay −a+

y

  • 1 − ny

2S

  • 1 − nx

2S ax + nx + ny − 1 S nxny

  • ≡ S
  • x,y

(a+

x − a+ y )(ax − ay) − K ≡ T − K

The spin wave approximation consists in neglecting K and the on-site hard-core constraint.

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SLIDE 38

Previous results HΛ = S

  • x,y

(a+

x − a+ y )(ax − ay) − K

For large S, the interaction K is of relative size O(1/S) as compared to the hopping term. Easier case: S → ∞ with βS constant (CG 2012)

[The classical limit is S → ∞ with βS2 constant (Lieb 1973). See also Conlon-Solovej (1990-1991).]

Harder case: fixed S, say S = 1/2. So far, not even a sharp upper bound on the free energy was known. Rigorous upper bounds, off by a constant, were given by Conlon-Solovej and Toth in the early 90s.

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SLIDE 39

Previous results HΛ = S

  • x,y

(a+

x − a+ y )(ax − ay) − K

For large S, the interaction K is of relative size O(1/S) as compared to the hopping term. Easier case: S → ∞ with βS constant (CG 2012)

[The classical limit is S → ∞ with βS2 constant (Lieb 1973). See also Conlon-Solovej (1990-1991).]

Harder case: fixed S, say S = 1/2. So far, not even a sharp upper bound on the free energy was known. Rigorous upper bounds, off by a constant, were given by Conlon-Solovej and Toth in the early 90s.

slide-40
SLIDE 40

Previous results HΛ = S

  • x,y

(a+

x − a+ y )(ax − ay) − K

For large S, the interaction K is of relative size O(1/S) as compared to the hopping term. Easier case: S → ∞ with βS constant (CG 2012)

[The classical limit is S → ∞ with βS2 constant (Lieb 1973). See also Conlon-Solovej (1990-1991).]

Harder case: fixed S, say S = 1/2. So far, not even a sharp upper bound on the free energy was known. Rigorous upper bounds, off by a constant, were given by Conlon-Solovej and Toth in the early 90s.

slide-41
SLIDE 41

Previous results HΛ = S

  • x,y

(a+

x − a+ y )(ax − ay) − K

For large S, the interaction K is of relative size O(1/S) as compared to the hopping term. Easier case: S → ∞ with βS constant (CG 2012)

[The classical limit is S → ∞ with βS2 constant (Lieb 1973). See also Conlon-Solovej (1990-1991).]

Harder case: fixed S, say S = 1/2. So far, not even a sharp upper bound on the free energy was known. Rigorous upper bounds, off by a constant, were given by Conlon-Solovej and Toth in the early 90s.

slide-42
SLIDE 42

Previous results HΛ = S

  • x,y

(a+

x − a+ y )(ax − ay) − K

For large S, the interaction K is of relative size O(1/S) as compared to the hopping term. Easier case: S → ∞ with βS constant (CG 2012)

[The classical limit is S → ∞ with βS2 constant (Lieb 1973). See also Conlon-Solovej (1990-1991).]

Harder case: fixed S, say S = 1/2. So far, not even a sharp upper bound on the free energy was known. Rigorous upper bounds, off by a constant, were given by Conlon-Solovej and Toth in the early 90s.

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SLIDE 43

Bosons and random walk Side remark: the Hamiltonian can be rewritten as HΛ = S

  • x,y
  • a+

x

  • 1 − ny

2S − a+

y

  • 1 − nx

2S

  • ·

·

  • ax
  • 1 − ny

2S − ay

  • 1 − nx

2S

  • i.e., it describes a weighted hopping process of

bosons on the lattice. The hopping on an occupied site is discouraged (or not allowed). The spin wave approximation corresponds to the uniform RW, without hard-core constraint.

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SLIDE 44

Bosons and random walk Side remark: the Hamiltonian can be rewritten as HΛ = S

  • x,y
  • a+

x

  • 1 − ny

2S − a+

y

  • 1 − nx

2S

  • ·

·

  • ax
  • 1 − ny

2S − ay

  • 1 − nx

2S

  • i.e., it describes a weighted hopping process of

bosons on the lattice. The hopping on an occupied site is discouraged (or not allowed). The spin wave approximation corresponds to the uniform RW, without hard-core constraint.

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SLIDE 45

Bosons and random walk Side remark: the Hamiltonian can be rewritten as HΛ = S

  • x,y
  • a+

x

  • 1 − ny

2S − a+

y

  • 1 − nx

2S

  • ·

·

  • ax
  • 1 − ny

2S − ay

  • 1 − nx

2S

  • i.e., it describes a weighted hopping process of

bosons on the lattice. The hopping on an occupied site is discouraged (or not allowed). The spin wave approximation corresponds to the uniform RW, without hard-core constraint.

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SLIDE 46

Outline

1 Introduction: continuous symmetry breaking and spin waves 2 Main results: free energy at low temperatures 3 Sketch of the proof: upper and lower bounds

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SLIDE 47

Main theorem Theorem [Correggi-G-Seiringer 2013] (free energy at low temperature). For any S ≥ 1/2, lim

β→∞ f (S, β)β5/2S3/2 =

  • log
  • 1 − e−k2 d3k

(2π)3 .

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SLIDE 48

Remarks The proof is based on upper and lower bounds. It comes with explicit estimates on the remainder.

Relative errors: • O((βS)−3/8) (upper bound)

  • O((βS)−1/40+ǫ)

(lower bound)

We do not really need S fixed. Our bounds are uniform in S, provided that βS → ∞. The case S → ∞ with βS =const. is easier and it was solved by Correggi-G (JSP 2012).

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SLIDE 49

Remarks The proof is based on upper and lower bounds. It comes with explicit estimates on the remainder.

Relative errors: • O((βS)−3/8) (upper bound)

  • O((βS)−1/40+ǫ)

(lower bound)

We do not really need S fixed. Our bounds are uniform in S, provided that βS → ∞. The case S → ∞ with βS =const. is easier and it was solved by Correggi-G (JSP 2012).

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SLIDE 50

Remarks The proof is based on upper and lower bounds. It comes with explicit estimates on the remainder.

Relative errors: • O((βS)−3/8) (upper bound)

  • O((βS)−1/40+ǫ)

(lower bound)

We do not really need S fixed. Our bounds are uniform in S, provided that βS → ∞. The case S → ∞ with βS =const. is easier and it was solved by Correggi-G (JSP 2012).

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SLIDE 51

Outline

1 Introduction: continuous symmetry breaking and spin waves 2 Main results: free energy at low temperatures 3 Sketch of the proof: upper and lower bounds

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SLIDE 52

S = 1/2 We sketch the proof for S = 1/2 only. In this case the Hamiltonian takes the form: HΛ = 1 2

  • x,y
  • (a+

x − a+ y )(ax − ay) − 2nxny

  • ≡ T − K
  • r, in the “random hopping” language,

HΛ = 1 2

  • x,y
  • a+

x (1−ny)−a+ y (1−nx)

  • ax(1−ny)−ay(1−nx)
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SLIDE 53

S = 1/2 We sketch the proof for S = 1/2 only. In this case the Hamiltonian takes the form: HΛ = 1 2

  • x,y
  • (a+

x − a+ y )(ax − ay) − 2nxny

  • ≡ T − K
  • r, in the “random hopping” language,

HΛ = 1 2

  • x,y
  • a+

x (1−ny)−a+ y (1−nx)

  • ax(1−ny)−ay(1−nx)
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SLIDE 54

S = 1/2 We sketch the proof for S = 1/2 only. In this case the Hamiltonian takes the form: HΛ = 1 2

  • x,y
  • (a+

x − a+ y )(ax − ay) − 2nxny

  • ≡ T − K
  • r, in the “random hopping” language,

HΛ = 1 2

  • x,y
  • a+

x (1−ny)−a+ y (1−nx)

  • ax(1−ny)−ay(1−nx)
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SLIDE 55

Upper bound We localize in Dirichlet boxes B of side ℓ: f (β, Λ) ≤

  • 1 + ℓ−1−3 f D(β, B)

In each box, we use the Gibbs variational principle: f D(β, B) = 1 ℓ3 inf

Γ

  • TrHD

B Γ + 1

βTrΓ ln Γ

  • For an upper bound we use as trial state

Γ0 = Pe−βT DP Tr(Pe−βT DP), where P =

x Px and Px enforces nx ≤ 1.

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SLIDE 56

Upper bound We localize in Dirichlet boxes B of side ℓ: f (β, Λ) ≤

  • 1 + ℓ−1−3 f D(β, B)

In each box, we use the Gibbs variational principle: f D(β, B) = 1 ℓ3 inf

Γ

  • TrHD

B Γ + 1

βTrΓ ln Γ

  • For an upper bound we use as trial state

Γ0 = Pe−βT DP Tr(Pe−βT DP), where P =

x Px and Px enforces nx ≤ 1.

slide-57
SLIDE 57

Upper bound We localize in Dirichlet boxes B of side ℓ: f (β, Λ) ≤

  • 1 + ℓ−1−3 f D(β, B)

In each box, we use the Gibbs variational principle: f D(β, B) = 1 ℓ3 inf

Γ

  • TrHD

B Γ + 1

βTrΓ ln Γ

  • For an upper bound we use as trial state

Γ0 = Pe−βT DP Tr(Pe−βT DP), where P =

x Px and Px enforces nx ≤ 1.

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SLIDE 58

Upper bound To bound the effect of the projector, we use 1 − P ≤

  • x

(1 − Px) ≤ 1 2

  • x

nx(nx − 1) Therefore, 1 − P can be bounded via the Wick’s rule: using axa+

x ≃ (const.)β−3/2 we find

Tre−βT D(1 − P) Tre−βT D ≤ (const.)ℓ3β−3 Optimizing, we find ℓ ∝ β7/8, which implies f (β) ≤ C0β−5/2 1 − O(β−3/8)

  • .
slide-59
SLIDE 59

Upper bound To bound the effect of the projector, we use 1 − P ≤

  • x

(1 − Px) ≤ 1 2

  • x

nx(nx − 1) Therefore, 1 − P can be bounded via the Wick’s rule: using axa+

x ≃ (const.)β−3/2 we find

Tre−βT D(1 − P) Tre−βT D ≤ (const.)ℓ3β−3 Optimizing, we find ℓ ∝ β7/8, which implies f (β) ≤ C0β−5/2 1 − O(β−3/8)

  • .
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SLIDE 60

Upper bound To bound the effect of the projector, we use 1 − P ≤

  • x

(1 − Px) ≤ 1 2

  • x

nx(nx − 1) Therefore, 1 − P can be bounded via the Wick’s rule: using axa+

x ≃ (const.)β−3/2 we find

Tre−βT D(1 − P) Tre−βT D ≤ (const.)ℓ3β−3 Optimizing, we find ℓ ∝ β7/8, which implies f (β) ≤ C0β−5/2 1 − O(β−3/8)

  • .
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SLIDE 61

Lower bound. Main steps Proof of the lower bound: three main steps.

1 localization and preliminary lower bound 2 restriction of the trace to the low energy sector 3 estimate of the interaction on the low energy

sector

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SLIDE 62

Lower bound. Main steps Proof of the lower bound: three main steps.

1 localization and preliminary lower bound 2 restriction of the trace to the low energy sector 3 estimate of the interaction on the low energy

sector

slide-63
SLIDE 63

Lower bound. Main steps Proof of the lower bound: three main steps.

1 localization and preliminary lower bound 2 restriction of the trace to the low energy sector 3 estimate of the interaction on the low energy

sector

slide-64
SLIDE 64

Lower bound. Main steps Proof of the lower bound: three main steps.

1 localization and preliminary lower bound 2 restriction of the trace to the low energy sector 3 estimate of the interaction on the low energy

sector

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SLIDE 65

Lower bound. Step 1. We localize the system into boxes B of side ℓ: f (β, Λ) ≥ f (β, B). Key ingredient for a preliminary lower bound: Lemma 1. HB ≥ cℓ−2(1 2ℓ3 − ST). where ST =

x

Sx and | ST|2 = ST(ST + 1).

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SLIDE 66

Lower bound. Step 1. We localize the system into boxes B of side ℓ: f (β, Λ) ≥ f (β, B). Key ingredient for a preliminary lower bound: Lemma 1. HB ≥ cℓ−2(1 2ℓ3 − ST). where ST =

x

Sx and | ST|2 = ST(ST + 1).

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SLIDE 67

Lower bound. Step 1. Lemma 1 ⇒ apriori bound on the particle number: in fact, since HB commutes with ST, Tr(e−βHB) =

ℓ3/2

  • ST=0

(2ST + 1)TrS3

T=−ST(e−βHB)

By Lemma 1, the r.h.s. is bounded from above by (ℓ3+1)

ℓ3/2

  • N=0

ℓ3 N

  • e−cβℓ−2N ≤ (ℓ3+1)
  • 1 + e−cβℓ−2ℓ3

, where N = 1

2ℓ3 + S3 T = 1 2ℓ3 − ST.

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SLIDE 68

Lower bound. Step 1. Lemma 1 ⇒ apriori bound on the particle number: in fact, since HB commutes with ST, Tr(e−βHB) =

ℓ3/2

  • ST=0

(2ST + 1)TrS3

T=−ST(e−βHB)

By Lemma 1, the r.h.s. is bounded from above by (ℓ3+1)

ℓ3/2

  • N=0

ℓ3 N

  • e−cβℓ−2N ≤ (ℓ3+1)
  • 1 + e−cβℓ−2ℓ3

, where N = 1

2ℓ3 + S3 T = 1 2ℓ3 − ST.

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SLIDE 69

Lower bound. Steps 1 and 2. Optimizing over ℓ we find f (β, Λ) ≥ −(const.)β−5/2(log β)5/2. We can now cut off the “high” energies: TrPHB≥E0e−βHB ≤ e−βE0/2e− β

2 ℓ3f (β/2,B) ≤ 1 ,

if E0 ≃ ℓ3β−5/2(log β)

5 2.

We are left with the trace on HB ≤ E0, which we compute on the sector S3

T = −ST.

The problem is to show that on this sector 1 ℓ3E|K|E ≪ β−5/2

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SLIDE 70

Lower bound. Steps 1 and 2. Optimizing over ℓ we find f (β, Λ) ≥ −(const.)β−5/2(log β)5/2. We can now cut off the “high” energies: TrPHB≥E0e−βHB ≤ e−βE0/2e− β

2 ℓ3f (β/2,B) ≤ 1 ,

if E0 ≃ ℓ3β−5/2(log β)

5 2.

We are left with the trace on HB ≤ E0, which we compute on the sector S3

T = −ST.

The problem is to show that on this sector 1 ℓ3E|K|E ≪ β−5/2

slide-71
SLIDE 71

Lower bound. Steps 1 and 2. Optimizing over ℓ we find f (β, Λ) ≥ −(const.)β−5/2(log β)5/2. We can now cut off the “high” energies: TrPHB≥E0e−βHB ≤ e−βE0/2e− β

2 ℓ3f (β/2,B) ≤ 1 ,

if E0 ≃ ℓ3β−5/2(log β)

5 2.

We are left with the trace on HB ≤ E0, which we compute on the sector S3

T = −ST.

The problem is to show that on this sector 1 ℓ3E|K|E ≪ β−5/2

slide-72
SLIDE 72

Lower bound. Steps 1 and 2. Optimizing over ℓ we find f (β, Λ) ≥ −(const.)β−5/2(log β)5/2. We can now cut off the “high” energies: TrPHB≥E0e−βHB ≤ e−βE0/2e− β

2 ℓ3f (β/2,B) ≤ 1 ,

if E0 ≃ ℓ3β−5/2(log β)

5 2.

We are left with the trace on HB ≤ E0, which we compute on the sector S3

T = −ST.

The problem is to show that on this sector 1 ℓ3E|K|E ≪ β−5/2

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SLIDE 73

Lower bound. Steps 1 and 2. Optimizing over ℓ we find f (β, Λ) ≥ −(const.)β−5/2(log β)5/2. We can now cut off the “high” energies: TrPHB≥E0e−βHB ≤ e−βE0/2e− β

2 ℓ3f (β/2,B) ≤ 1 ,

if E0 ≃ ℓ3β−5/2(log β)

5 2.

We are left with the trace on HB ≤ E0, which we compute on the sector S3

T = −ST.

The problem is to show that on this sector 1 ℓ3E|K|E ≪ β−5/2

slide-74
SLIDE 74

Lower bound. Steps 1 and 2. Optimizing over ℓ we find f (β, Λ) ≥ −(const.)β−5/2(log β)5/2. We can now cut off the “high” energies: TrPHB≥E0e−βHB ≤ e−βE0/2e− β

2 ℓ3f (β/2,B) ≤ 1 ,

if E0 ≃ ℓ3β−5/2(log β)

5 2.

We are left with the trace on HB ≤ E0, which we compute on the sector S3

T = −ST.

The problem is to show that on this sector 1 ℓ3E|K|E ≪ β−5/2

slide-75
SLIDE 75

Lower bound. Steps 1 and 2. Optimizing over ℓ we find f (β, Λ) ≥ −(const.)β−5/2(log β)5/2. We can now cut off the “high” energies: TrPHB≥E0e−βHB ≤ e−βE0/2e− β

2 ℓ3f (β/2,B) ≤ 1 ,

if E0 ≃ ℓ3β−5/2(log β)

5 2.

We are left with the trace on HB ≤ E0, which we compute on the sector S3

T = −ST.

The problem is to show that on this sector 1 ℓ3E|K|E ≪ β−5/2

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SLIDE 76

Lower bound. Step 3. If ρE(x, y) is the two-particle density matrix, E|K|E =

  • x,y

E|nxny|E ≤ 3ℓ3||ρE||∞ Key estimate: Lemma 2. For all E ≤ E0 ρE∞ ≤ (const.)E 3 Now: ℓ = β1/2+ǫ ⇒ E0 ≃ ℓ−2+O(ǫ) ⇒ ρE∞ ≤ ℓ−6+O(ǫ) ⇒ 1 ℓ3E|K|E ≤ ℓ−6+O(ǫ) = β−3+O(ǫ), as desired.

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SLIDE 77

Lower bound. Step 3. If ρE(x, y) is the two-particle density matrix, E|K|E =

  • x,y

E|nxny|E ≤ 3ℓ3||ρE||∞ Key estimate: Lemma 2. For all E ≤ E0 ρE∞ ≤ (const.)E 3 Now: ℓ = β1/2+ǫ ⇒ E0 ≃ ℓ−2+O(ǫ) ⇒ ρE∞ ≤ ℓ−6+O(ǫ) ⇒ 1 ℓ3E|K|E ≤ ℓ−6+O(ǫ) = β−3+O(ǫ), as desired.

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SLIDE 78

Lower bound. Step 3. If ρE(x, y) is the two-particle density matrix, E|K|E =

  • x,y

E|nxny|E ≤ 3ℓ3||ρE||∞ Key estimate: Lemma 2. For all E ≤ E0 ρE∞ ≤ (const.)E 3 Now: ℓ = β1/2+ǫ ⇒ E0 ≃ ℓ−2+O(ǫ) ⇒ ρE∞ ≤ ℓ−6+O(ǫ) ⇒ 1 ℓ3E|K|E ≤ ℓ−6+O(ǫ) = β−3+O(ǫ), as desired.

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SLIDE 79

Lower bound. Step 3: Proof of Lemma 2. Key observation: the eigenvalue equation implies − ˜ ∆ρE(x, y) ≤ 4EρE(x, y), where ˜ ∆ is the Neumann Laplacian on B2 \ {(x, x) : x ∈ B}. Remarkable: the many-body problem has been reduced to a 2-body problem!!!

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SLIDE 80

Lower bound. Step 3: Proof of Lemma 2. Key observation: the eigenvalue equation implies − ˜ ∆ρE(x, y) ≤ 4EρE(x, y), where ˜ ∆ is the Neumann Laplacian on B2 \ {(x, x) : x ∈ B}. Remarkable: the many-body problem has been reduced to a 2-body problem!!!

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SLIDE 81

Lower bound. Step 3: Proof of Lemma 2. We extend ρ on Z6 by Neumann reflections and find −∆ρE(z) ≤ 4EρE(z) + 2ρE(z)χR

1 (z)

where χR

1 (z1, z2) is equal to 1 if z1 is at distance 1

from one of the images of z2, and 0 otherwise. Therefore, ρE(z) ≤ (1 − E/3)−1 ρEz + 1 6ρE∞χR

1 (z)

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SLIDE 82

Lower bound. Step 3: Proof of Lemma 2. We extend ρ on Z6 by Neumann reflections and find −∆ρE(z) ≤ 4EρE(z) + 2ρE(z)χR

1 (z)

where χR

1 (z1, z2) is equal to 1 if z1 is at distance 1

from one of the images of z2, and 0 otherwise. Therefore, ρE(z) ≤ (1 − E/3)−1 ρEz + 1 6ρE∞χR

1 (z)

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SLIDE 83

Lower bound. Step 3: Proof of Lemma 2. Iterating, ρE(z) ≤

  • 1−E

3 −n (Pn∗ρE)(z)+1 6ρE∞

n−1

  • j=0

Pj∗χR

1 (z)

  • where Pn(z, z′) is the probability that a SSRW on

Z6 starting at z ends up at z′ in n steps. For large n: Pn(z, z′) ≃ 3 πn 3 e−3|z−z′|2/n . Moreover, if G is the Green function on Z6,

n−1

  • j=0

Pj(z, z′) ≤

  • j=0

Pj(z, z′) = 12G(z − z′)

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SLIDE 84

Lower bound. Step 3: Proof of Lemma 2. Iterating, ρE(z) ≤

  • 1−E

3 −n (Pn∗ρE)(z)+1 6ρE∞

n−1

  • j=0

Pj∗χR

1 (z)

  • where Pn(z, z′) is the probability that a SSRW on

Z6 starting at z ends up at z′ in n steps. For large n: Pn(z, z′) ≃ 3 πn 3 e−3|z−z′|2/n . Moreover, if G is the Green function on Z6,

n−1

  • j=0

Pj(z, z′) ≤

  • j=0

Pj(z, z′) = 12G(z − z′)

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SLIDE 85

Lower bound. Step 3: Proof of Lemma 2. Iterating, ρE(z) ≤

  • 1−E

3 −n (Pn∗ρE)(z)+1 6ρE∞

n−1

  • j=0

Pj∗χR

1 (z)

  • where Pn(z, z′) is the probability that a SSRW on

Z6 starting at z ends up at z′ in n steps. For large n: Pn(z, z′) ≃ 3 πn 3 e−3|z−z′|2/n . Moreover, if G is the Green function on Z6,

n−1

  • j=0

Pj(z, z′) ≤

  • j=0

Pj(z, z′) = 12G(z − z′)

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SLIDE 86

Lower bound. Step 3: Proof of Lemma 2. Let us now pretend for simplicity that χR

1 is equal to

χ1. In this simplified case we find: ρ(z) ≤ 1 (1 − E

3 )n

27 π3n3

  • w∈Z6

e− 3

n|z−w|2ρ(w)+2ρ∞G∗χ1(z)

  • Picking n ∼ E −1 we get:

ρ(z) ≤ (const.) max{E 3, ℓ−6}+(1+δ)×2×0.258×ρ∞ where we used the fact that (G∗χ)(z1, z2) ≤ 1 2

  • 3

i=1 cos pi

3

i=1(1 − cos pi)

d3p (2π)3 = 0.258

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SLIDE 87

Lower bound. Step 3: Proof of Lemma 2. Let us now pretend for simplicity that χR

1 is equal to

χ1. In this simplified case we find: ρ(z) ≤ 1 (1 − E

3 )n

27 π3n3

  • w∈Z6

e− 3

n|z−w|2ρ(w)+2ρ∞G∗χ1(z)

  • Picking n ∼ E −1 we get:

ρ(z) ≤ (const.) max{E 3, ℓ−6}+(1+δ)×2×0.258×ρ∞ where we used the fact that (G∗χ)(z1, z2) ≤ 1 2

  • 3

i=1 cos pi

3

i=1(1 − cos pi)

d3p (2π)3 = 0.258

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SLIDE 88

Lower bound. Step 3: Proof of Lemma 2. Let us now pretend for simplicity that χR

1 is equal to

χ1. In this simplified case we find: ρ(z) ≤ 1 (1 − E

3 )n

27 π3n3

  • w∈Z6

e− 3

n|z−w|2ρ(w)+2ρ∞G∗χ1(z)

  • Picking n ∼ E −1 we get:

ρ(z) ≤ (const.) max{E 3, ℓ−6}+(1+δ)×2×0.258×ρ∞ where we used the fact that (G∗χ)(z1, z2) ≤ 1 2

  • 3

i=1 cos pi

3

i=1(1 − cos pi)

d3p (2π)3 = 0.258

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SLIDE 89

Summary Using the Holstein-Primakoff representation of the 3D quantum Heisenberg ferromagnet, we proved the correctness of the spin wave approximation to the free energy at the lowest non trivial order in a low temperature expansion, with explicit estimates on the remainder. The proof is based on upper and lower bounds. In both cases we localize the system in boxes of side ℓ = β1/2+ǫ.

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SLIDE 90

Summary Using the Holstein-Primakoff representation of the 3D quantum Heisenberg ferromagnet, we proved the correctness of the spin wave approximation to the free energy at the lowest non trivial order in a low temperature expansion, with explicit estimates on the remainder. The proof is based on upper and lower bounds. In both cases we localize the system in boxes of side ℓ = β1/2+ǫ.

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SLIDE 91

Summary The upper bound is based on a trial density matrix that is the natural one, i.e., the Gibbs measure associated with the quadratic part of the Hamiltonian projected onto the subspace satisfying the local hard-core constraint. The lower bound is based on a preliminary rough bound, off by a log. This uses an estimate on the excitation spectrum HB ≥ (const.)ℓ−2(Smax − ST)

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SLIDE 92

Summary The upper bound is based on a trial density matrix that is the natural one, i.e., the Gibbs measure associated with the quadratic part of the Hamiltonian projected onto the subspace satisfying the local hard-core constraint. The lower bound is based on a preliminary rough bound, off by a log. This uses an estimate on the excitation spectrum HB ≥ (const.)ℓ−2(Smax − ST)

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SLIDE 93

Summary The preliminary rough bound is used to cutoff the energies higher than ℓ3β−5/2(log β)5/2. In the low energy sector we pass to the bosonic representation. In order to bound the interaction energy in the low energy sector, we use a new functional inequality, which allows us to reduce to a 2-body

  • problem. The latter is studied by random walk

techniques on a modified graph.

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SLIDE 94

Summary The preliminary rough bound is used to cutoff the energies higher than ℓ3β−5/2(log β)5/2. In the low energy sector we pass to the bosonic representation. In order to bound the interaction energy in the low energy sector, we use a new functional inequality, which allows us to reduce to a 2-body

  • problem. The latter is studied by random walk

techniques on a modified graph.

slide-95
SLIDE 95

Thank you!