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発表ファイル 数理物理・物性基礎論セミナー Borodin

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(1)

The six vertex model and randomly growing

interfaces in (1+1) dimensions

Alexei Borodin

(2)

Through the last two decades, the large time asymptotics of a number of out-of-equilibrium random growth models in (1+1)d have been analyzed (Kardar-Parisi-Zhang universality class, Tracy-Widom distributions).

It turns out that the solvability of all the non-free-fermion ones can be traced to the Yang-Baxter integrability of the six vertex model.

Unraveling the basic structure that underlies the solvability leads to more powerful systems that go down to new analyzable physical (local) models and new phenomena.

(3)

The six vertex model (Pauling, 1935)

In 'square ice', which has been seen between graphene sheets, water molecules lock flat in a right-angled formation. The structure is strikingly different from familiar hexagonal ice (right).

From <http://www.nature.com/news/graphene‐sandwich‐makes‐

new‐form‐of‐ice‐1.17175>

Lieb in 1967 computed the partition function of the square ice on a large torus - an estimate for the residual entropy of real ice.

(4)

The six vertex model and the XXZ quantum spin chain Encode rows of vertical edges as vectors in

View products of weights of verticles in a horizontal row as matrix elements of an operator . For a certain choice of the six weights, the log derivative of this operator is

This is the Hamiltonian of a quantum mechanical (Heisenberg) model of ferromagentism known as the XXZ model.

(5)

The six vertex model vs. dimers

Partition function is the Izergin-Korepin det.

Partition function is a product, e.g.

Are there instances of the six vertex model with the partition function that looks like a product, not determinant?

(6)

The higher spin six vertex model [Kulish-Reshetikhin-Sklyanin '81]

The Yang-Baxter (star-triangle) equation:

(7)

A product partition function

Convergence:

Theorem [B.'14] The partition function normalized by equals

(8)

A product partition function

In the top part, one can replace occupied (black) horizontal edges and uoccupied ones. Then one has to normalize vertex weights in the top part rather than the partition function.

(9)

Proof - operator approach In define

is the length of the strip

In infinite volume, and need to be normalized:

(10)

Proof - operator approach

The Yang-Baxter equation is equivalent to certain quadratic commutation relations between these operators. For example,

Assuming , in infinite volume one gets

The result now follows from

(11)

Proof - pictorial approach

A. Sportiello: This is also an exact sampling algorithm!

(12)

Sampling

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Removing the first column Making the 0th column deterministic

turns it into a boundary condition.

If all 0th column vertices in the bottom

half look like , the partition function

has the factor , thus must vanish at

(14)

A stochastic model

Theorem [B. '14, Corwin-Petrov '15]

The resulting random paths in the bottom part of the picture can be constructed recursively via

Specialize as

(15)

An inhomogeneous stochastic model

Theorem [B.-Petrov '16]

The resulting random paths in the bottom part of the picture can be constructed recursively via

Specialize as

with additional sets of parameters

(16)

Sampling (the six vertex case)

(17)

q-Moments of the height function Theorem [B.-Petrov '16] For any

(18)

(19)

The six vertex case- an asymptotic corollary Theorem [B-Corwin-Gorin '14]

Assume Then for

where is explicit,

is the GUE Tracy-Widom distribution.

Gwa-Spohn (1992):

This is a member of the KPZ

universality class. This class was related to TW in late 1990's.

(20)

(2+1)d dynamics that preserves the 6-vertex Gibbs

measures on a torus (hypothetically, in (2+1)d AKPZ class)

[B.-Bufetov '15]

Unusual phase transitions in spacially inhomogeneous interacting particle systems [B.-Petrov, '17]

Phase transition in ASEP and 6-vertex model induced by (random) initial/boundary conditions [B.-Aggarwal, '16]

Fluctuations along characteristics in equilibrium ASEP

and translation invariant 6-vertex Gibbs measures on a plane [Aggarwal, '16]

Applications and developments

(21)

Stochastic IRF (or SOS) model and integral representations of its observables [B., '17], fusion [Aggarwal, '17]

Higher rank stochastic model [Kuniba-Mangazeev-Maruyama- Okado '16], eigenfunctions [Takeyama '16], dualities [Kuan '17]

Connection to Macdonald processes with applications to

asymptotics [B., '16], [B.-Bufetov-Wheeler '17], [Corwin-Dimitrov '17]

Half-line open ASEP and stochastic six-vertex model in half-quadrant [B.-Barraquand-Corwin-Wheeler, '16]

Applications and developments cont'd

(22)

Nuts and bolts - symmetric functions

These are symmetric rational functions. Also,

and there is a similar formula for (homogeneous system) .

(23)

Cauchy identities The commutation relation

is equivalent to the skew Cauchy identity

with

Iterations show that are eigenfunctions of , and give the usual Cauchy identity

(24)

Orthogonality

Theorem [Povolotsky '13, B.-Corwin-Petrov-Sasamoto '14-15, B.-Petrov '16]

This orthogonality relation and the Cauchy identities are two

basic ingredients that are needed to prove the q-moment formula. This relation also described a selection rule for "rapidities" u that

turn the "off-shell Bethe vectors" F(u) into a complete orthogonal basis.

(25)

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Summary

The higher spin six vertex model allows domains for which the partition functions are simple products.

A specialization of spectral parameters on a part of such a domain gives a Markovian ("stochastic") model.

For the stochastic model, a large set of observables can be explicitly averaged, leading to asymptotic analysis.

The key tool is a new family of symmetric rational functions

whose properties are derived directly from the Yang-Baxter eq.

参照

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