Stochastic processes arising from non commutative symmetries Final - - PowerPoint PPT Presentation

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Stochastic processes arising from non commutative symmetries Final - - PowerPoint PPT Presentation

Stochastic processes arising from non commutative symmetries Final conference of MADACA Domaine de Chal` es 23 juin 2016 Philippe Biane CNRS INSTITUT GASPARD MONGE UNIVERSIT E PARIS EST The aim of this talk is to present some


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Stochastic processes arising from non commutative symmetries Final conference of MADACA Domaine de Chal` es 23 juin 2016 Philippe Biane CNRS INSTITUT GASPARD MONGE UNIVERSIT´ E PARIS EST

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The aim of this talk is to present some (interesting, exotic) stochastic processes arising from natural non commutative group theoretic constructions

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Classical random walk

0.0 7.5 15.0 22.5 30.0

.

Sn = X1 + . . . + Xn Xk = ±1

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Brownian motion Scale by ε in time and √ε in space. √ε ↑ → ε

0.00 0.25 0.50 0.75 1.00 −3 3

.

Y

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The Yule process A bacteria splits after an exponential time. Y (t)=total number of bacteria at time t.

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A crash course on quantum mechanics H = (complex) Hilbert space Observables=self-adjoint operators on H a unit vector ϕ ∈ H (state of the system) and an observable A give a probability measure P(λ) = |πλϕ|2 πλ = orthogonal projection on eigenspace of λ P is supported on the spectrum of A.

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Expectation of A is Aϕ, ϕ = Tr(Aπϕ) More generally: expectation of f (A) is f (A)ϕ, ϕ = Tr(f (A)πϕ) One can convexify: replace πϕ with a positive operator of trace 1. E[f (A)] = Tr(ρf (A))

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If A1, . . . , An commute → diagonalized simultaneously Their joint distribution makes sense: Tr(ρf (A1, . . . , An)) =

  • f (x1, . . . , xn)dµ

for µ proba on Rn

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Basic example (Ω, F, P) probability space H = L2(Ω, F, P) x=real random variable Xx : H → H Xx(z) = xz is a self-adjoint operator Spectral theorem: any self-adjoint operator on a Hilbert space can be put in this form.

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Spins dim(H)=2 The space of observables has dimension 4 Identity and Pauli matrices give a basis X = 1 1

  • Y =

i −i

  • Z =

1 −1

  • In the state ϕ = e1,

X and Y are symmetric Bernoulli Z = 1 a.s. Combinations xX + yY + zZ, x2 + y 2 + z2 = 1 realize all possible Bernoulli distributions In the central state Tr(.1

2Id) all three are symmetric Bernoulli.

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Quantization of head an tails game Xn =

n−1

  • k=0

I ⊗k⊗x ⊗ I ∞ Yn =

n−1

  • k=0

I ⊗k ⊗ y ⊗ I ∞ Zn =

n−1

  • k=0

I ⊗k ⊗ z ⊗ I ∞ in M2(C)⊗∞. Xn, Yn, Zn define three simple random walks [Xn, Yn] = 2iZn

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Let Rn =

  • X 2

n + Y 2 n + Z 2 n + 1

Lemma [Rm, Rn] = 0; Rn is a Markov chain with probability transitions p(k, k + 1) = k + 1 2k p(k, k − 1) = k − 1 2k Proof: Rn corresponds to the Casimir operator. Clebsch-Gordan formula for representations of SU(2) [k] ⊗ [2] = [k + 1] ⊕ [k − 1]

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We have defined a random walk with values in a noncommutative space ˆ SU(2)

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A = group algebra of SU(2) x, y, z=generators of Lie(SU(2))=coordinates on the space ˆ SU(2) [x, y] = 2iz In each direction of space the coordinates take integer values. One can measure the distance to origin using

  • x2 + y 2 + z2 + 1
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E = a set (e.g. Z d) Ω a probability space A random variable with values in E: X : Ω → E this gives an algebra morphism: F(E) → F(Ω) f → f ◦ X We could drop the condition that the algebras are commutative

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Random walks on groups W = abelian group ˆ W = dual group ξ ∈ ˆ W = character of W F(W )=algebra of functions on W A( ˆ W )=group algebra of ˆ W F(W ) → F(W × W ) ∆ : A( ˆ W ) → A( ˆ W ) ⊗ A( ˆ W ) f (x) → f (x + y) ∆(ξ) = ξ ⊗ ξ µ : F(W ) → C φ=positive definite function on ˆ W =probability measure on W φ(ξ) =

  • W ξ(x)dµ(x)

state ω on A( ˆ W )

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Ω = (W , µ)∞ M = ⊗∞(A( ˆ W ), ω) Yn = w1 + . . . + wn jn : A( ˆ W ) → M f → f (w1 + . . . + wn) jn+1 = (∆ ⊗ I ⊗(n+1)) ◦ I ⊗ jn Markov operator Φ(f )(x) =

  • W f (x + y)dµ(y)

Φ(f ) = (I ⊗ ω) ◦ ∆

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Random walks on duals of compact groups Replace ˆ W by a compact group G. φ=continuous positive definite functions on G, with φ(e) = 1. =state ν on A(G). ν= distribution of the increments. Φν : A(G) → A(G) Φν = (I ⊗ ν) ◦ ∆ is a completely positive map. It generates a semigroup Φn

ν; n ≥ 1.

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(N, ω) = (A(G), ν)∞ jn : A(G) → N defined by jn(λg) = λ⊗n

g

⊗ I The morphisms (jn)n≥0, define a random walk on the noncommutative space dual to G, with Markov operator. Φν : A(G) → A(G) Φν = (I ⊗ ν) ◦ ∆ The quantum Bernoulli random walk is obtained for G = SU(2), and ν the tracial state associated with the 2-dimensional representation.

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A = group algebra of SU(2)= Hopf algebra with coproduct ∆ : A → A ⊗ A ∆(x) = x ⊗ I + I ⊗ x jn : A → M2(C)⊗∞=n-fold tensor product of 2-dimensional representations for n = 1, 2, ... form a quantum Bernoulli random walk the quantum Bernoulli walk is a Markov chain with Markov

  • perator

P : A → A P = Id ⊗ Tr2(./2)o∆

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RESTRICTIONS We can restrict the Markov operator P to commutative subalgebras: One parameter subgroup: Bernoulli random walk

  • 1/2

1/2

Center: ”discrete Bessel process”

  • k+1

k−1 (k−1)/2k (k+1)/2k k

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This scheme can be extended using other semi-simple Lie groups. This leads to representation theoretic interpretation of familiar random walks in cones, non-intersecting paths, etc...

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Quantum central limit theorem In the state e⊗∞

1

Xn and Yn are symmetric Bernoulli Zn = n In the state Tr(.1

2Id)⊗∞

Xn Yn and Zn are symmetric Bernoulli

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there is a basis εk, k = 0, 1, ... such that ε0 = e⊗∞

1

Znεk = n − 2k (Xn + iYn)εk =

  • k(n − 2k + 2)εk−1

(Xn − iYn)εk =

  • (k + 1)(n − 2k)εk+1

In the limit Zn/n, Xn/√n, Yn/√n converge to harmonic oscillator

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Harmonic oscillator H Hilbert space, εk, k = 0, 1, . . . orthonormal basis a+, a− creation and annihilation operators a+ = (a−)∗ [a−, a+] = I a+εk = √ k + 1εk+1 a−εk = √ kεk−1 ”Heisenberg representation”

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Probabilistic interpretation a+ + a−=gaussian variable in state ε0 for any f one has [f (a+ + a−)ϕ, ϕ] =

  • f (x)e−x2/2

√ 2π εk = Hk(a+ + a−)ε0 Hk =Hermite polynomial

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Number operator a+a−εk = kεk is the number operator a+a− = lim(n − Zn) In the state ε0, a+a− is the zero random variable λ(a+ + a−) + a+a− has Poisson(λ2) distribution. εk = Ck(λ(a+ + a−) + a+a−)ε0 Ck =Charlier polynomial cf Poisson as limit of binomial + recurrence relation for Charlier polynomials.

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Dual of Heisenberg group H = Heisenberg group (z, w) ∗ (z′, w′) = (z + z′, w + w′ + ℑ(z¯ z′)); w ∈ R, z ∈ C C ∗(H)= convolution algebra of the group There a three important abelian subgroups: (x, 0), (iy, 0), (0, t) all isomorphic to R. The generators of these three one-parameter subgroups are like three ”coordinates” The generators p, q, τ of these three subgroups generate the Lie algebra, they satisfy: [p, q] = τ

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QUANTUM BROWNIAN MOTION The functions ψt(z, w) = exp t(iw − |z|2/2) form a multiplicative semigroup of positive type functions on sur H. ψt generate a semi-group Tt : C ∗(G) → C ∗(G); f → f ψt

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One can construct morphisms: Φt : C ∗(G) → B(H) which correspond to a Markov process with semi-group Tt.

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Restrictions of Tt to subgroups (x, 0) and (iy, 0) give real Brownian motions Φt(ip) = Pt Φt(iq) = Qt Φt(iτ) = t Pt and Qt are Brownian motions and they satisfy [Ps, Pt] = 0, , [Qs, Qt] = 0, , PsQt − QtPs = is ∧ t Restriction to (0, w) gives a uniform translation.

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Functions on H invariant by rotation (z, w) → (eiθz, w) form a commutative subalgebra C ∗

R(G) ⊂ C ∗(G)

They can be identified with functions of p2 + q2 and τ.

y=x y=2x y=−x y=3x y=−2x

Heisenberg fan

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Let (Pt, Qt) be the quantum Brownian motion, then (P2

t + Q2 t , t)

is a stochastic process on the Heisenberg fan.

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The semigroup Tt restricted to functions invariant by rotation is that of space-time Yule process (for τ < 0) for τ > 0 it is the dual death process. The Heisenberg fan gives a realization of the space-time Martin boundary of the Yule process.

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Dual of special linear group G = SL2(C) C ∗(G)= convolution algebra of the group Some important abelian subgroups: g(x) = ex e−x

  • isomorphic to R.

Cartan decomposition: KAK g = k1ak2 (G, K) is a Gelfand pair: functions bi-invariant under K translations (depending only on a) form a commutative subalgebra

  • f C ∗(G)
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Spherical dual: Ω = iR ∪ [−1, 1] iR=principal series and [−1, 1]=complementary series.

−1 +1

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For ω ∈ iR ∪ [−1, 1] the spherical function is φω(g(x)) = sinh(ωx) ω sinh(x) φ0(g(x)) = x sinh(x) There exists a remarkable negative definite function ψ = lim

ω→1

1 − φω 1 − ω . ψ(g(x)) = 1 − x coth(x)

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The semi-group exp(tψ) defines a Markov process on the spherical dual

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On the dual of the diagonal subgroup it defines a L´ evy process Lt with E[exp(ixLt)] = exp(t(1 − x coth x) Starting from the center (0) of the spherical dual we obtain the positive definite function E[exp(ixLt)] = x sinh(x) exp(t(1 − x coth x) this formula is exactly Paul L´ evy’s area formula!! E[exp ix 1 X(s)dY (s) − Y (s)dX(s)|X1 = u, Y1 = v] = x sinh(x) exp((u2 + v 2)(1 − x coth x)/2

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G automorphism group of a regular tree Tq K ⊂ G automorphism which fix e (G, K) is a Gelfand pair

  • e has

[−(q1/2 + q−1/2), q1/2 + q−1/2] = [−2, 2] ∪ ([−(q1/2 + q−1/2), −2[∪]2, q1/2 + q−1/2]) principal series + complementary series ψ(g) = −d(e, g(e)) induces a semigroup in the complementary series it is a uniform translation followed by a jump process in the principal series governed by the Dirichlet form f (x) − f (y) x − y 2 mq(dx)mq(dy).