Knudsen billiards and random walks in random environment with - - PowerPoint PPT Presentation

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps Knudsen


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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

Knudsen billiards and random walks in random environment with unbounded jumps

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

Outline

Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

(Comets, Popov, Schütz, Vachkovskaia, ARMA, 2009) The model can be informally described in the following way:

◮ A particle moves with constant speed inside some

d-dimensional domain

◮ When it hits the boundary, it is reflected in some random

direction, not depending on the incoming direction, and keeping the absolute value of its speed

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps D ∂D (X0, V0) ξ0 ξ1 ξ2 ξ3 ξ4 (Xt, Vt)

Notations:

◮ Xt ∈ D is the location of the process at time t, and

Vt ∈ Sd−1 is the corresponding direction;

◮ ξn ∈ ∂D, n = 0, 1, 2, . . . are the points where the process

hits the boundary.

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

Reflection: cosine reflection law:

x α n(x)

The density of the outgoing direction is proportional to cos α

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

For the case of cosine reflection law (finite domains):

Theorem

(assuming that the boundary is Lipschitz and a.e. continuously differentiable)

◮ The stationary measure of the random walk ξn is uniform

  • n ∂D.

◮ The stationary measure of the process (Xt, Vt) is the

product of uniform measures on D and Sd−1. Proof: follows from the reversibility (the transition density is symmetric).

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

(Comets, Popov, Schütz, Vachkovskaia, AP , 2010)

(α, u) Λ nω(α, u) ωα ω rω(α, u) e

Stationary random tube in Rd

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

Let Z (m)

·

be the polygonal interpolation of n/m → m−1/2ξn · e (the discrete time random walk). We denote by Q the stationary measure for the environment seen from the particle (there is an explicit formula for Q).

Theorem

Assume Conditions L, P , R (“nice boundary”), and suppose that the second moment of the jump projected on the horizontal direction

  • b
  • Q is finite. Then, there exists a constant σ > 0 such

that for P-almost all ω, σ−1Z (m)

·

converges in law, under Pω, to Brownian motion as m → ∞.

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

The corresponding result for the continuous time Knudsen stochastic billiard is available too. Define ˆ Z (s)

t

= s−1/2Xst · e.

Theorem

Assume Conditions L, P , R, and suppose that

  • b
  • Q < ∞.

Denote ˆ σ = σΓ( d

2 + 1)Z

π1/2Γ( d+1

2 )

  • |ω0|
  • Pd

, where σ is from the above Theorem and Z is the normalizing constant from the definition of Q. Then, for P-almost all ω, ˆ σ−1 ˆ Z (s)

·

converges in law to Brownian motion as s → ∞.

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

(Comets, Popov, Schütz, Vachkovskaia, JSP , 2010) Let Dω

H be the part of the random tube ω which lies between 0

and H:

H = {z ∈ ω : z · e ∈ [0, H]}.

ˆ Dℓ = {0} × ω0, ˆ Dr = {H} × ωH, ˜ ω0 is the set of points of ω0, from where the particle can reach ˆ Dr by a path which stays within Dω

H and ˜

Dℓ := {0} × ˜ ω0 CH: the event that the particle crosses the tube without going back to ˜ Dℓ

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

ˆ Dℓ ˜ Dℓ

H

ˆ Dr

H

On the definition of ˜ Dℓ, Dω

H, and the event CH (a trajectory

crossing the tube is shown)

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

Results (TH is the total lifetime of the particle):

◮ EωTH ∼ γd|Sd−1|

  • |ω0|
  • P

2|˜ ω0|

· H

◮ Pω[CH] ∼ γd|Sd−1|ˆ σ2 |ω0|

  • P

2|˜ ω0|

· 1

H ◮ Eω(TH | CH) ∼ 1 3ˆ σ2 · H2

As a consequence, Eω(THI{Cc

H}) ∼ H

3 γd|Sd−1|

  • |ω0|
  • P

ω0|−1

P ∼ 2Eω(THI{CH}) Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

(Comets, Popov, arXiv:1009.0048; to appear in AIHP-PS) Informal definition:

◮ the process lives in the infinite random tube ◮ the jumps in the positive direction are always accepted ◮ the jumps in the negative direction are accepted with

probability e−λu, where u is the horizontal size of the attempted jump.

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

ξ0 ξ1 ω

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

ξ0 ξ1 = ξ2 ω

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

ξ0 ξ1 = ξ2 ω ξ3

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

ξ0 ξ1 = ξ2 ω ξ3 ξ4

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

ξ0 ξ1 = ξ2 ω ξ3 ξ4 ξ5

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

ξ0 ξ1 = ξ2 ω ξ3 ξ4 ξ5 = ξ6

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

ξ0 ξ1 = ξ2 ω ξ3 ξ4 ξ5 = ξ6 ξ7

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

Main result: LLN

Theorem

Assume that d ≥ 3. There exists a positive deterministic ˆ v such that for P-almost every ω ξn · e n → ˆ v as n → ∞, Pω-a.s. Main difficulty: although the random walk is still reversible, it is unclear how to obtain an explicit form for the invariant measure for environment seen from the particle. So, we first consider an analogous process in discrete space.

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

Consider a Markov chain (Sn, n = 0, 1, 2, . . .) in Z with transition probabilities Px0

ω [Sn+1 = x + y | Sn = x] = ωxy for all n ≥ 0, Px0 ω [S0 = x0] = 1,

so that Px0

ω is the quenched law of the Markov chain starting

from x0 in the environment ω. The environment is chosen at random from the space Ω according to a law P before the random walk starts; we assume that the sequence of random vectors (ωx ·, x ∈ Z) is stationary and ergodic.

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

The random walk S is supposed to satisfy the following conditions: Condition E. There exists ˜ ε such that P[ω01 ≥ ˜ ε] = 1. Condition C. There exist γ1 > 0 and α > 1 such that for all s ≥ 1 we have

  • y:|y|≥s

ω0y ≤ γ1s−α, P-a.s.

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

Denote by S̺ the random walk in the truncated environment (jumps that are larger than ̺ are rejected). Let N̺

∞(x) be the total number of visits of S̺ to x.

Condition D. There is a function g1 ≥ 0 with the property ∞

k=1 kg1(k) < ∞ and a finite ̺0, such that for all x ≤ 0 and

all ̺ ≥ ̺0, P-almost surely it holds that E0

ωN̺ ∞(x) ≤ g1(|x|).

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

With these assumptions, we can prove that the speed of the random walk is well-defined and positive:

Theorem

For all ̺ ∈ [̺0, ∞] there exists v̺ > 0 such that for P-a.a. ω we have S̺

n

n → v̺ as n → ∞, Pω-a.s. Using this result, one can also prove the LLN for the random billiard with drift by a discretization/coupling argument.

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

Let us write an outline of the proof of the LLN for RWRE. Denote by T ̺

z = min{k ≥ 0 : S̺ k ≥ z}.

Let r ̺

x (z) = Px ω[S̺ T ̺

z = z]

be the probability that, at moment T ̺

z , the (truncated) random

walk is located exactly at z.

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

Lemma

Assume Conditions E, C, D. Then, there exists ε1 > 0 such that, P-a.s., r ̺

x (0) ≥ 2ε1

for all x ≤ 0 and for all ̺ ∈ [̺0, ∞]. Proof:

◮ define uk = essinf P

miny∈[−k,0] r ̺

y (0) ◮ using Condition C, prove that usβ ≥ (1 − C3s−ϕ)us for fixed

constants β and ϕ

◮ Iterating, we obtain that um ≥ 2ε1 > 0 for all m ≥ 2, where

ε1 = 1 2u2(1 − C32−ϕ)(1 − C32−βϕ)(1 − C32−β2ϕ) . . . > 0

Random billiards and RWRE

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

Proof of the theorem (sketch):

◮ fix some integer ̺ ∈ [̺0, ∞), and consider a sequence of

i.i.d. random variables ζ1, ζ2, ζ3, . . . with P[ζj = 1] = 1 − P[ζj = 0] = ε1

◮ for all j ≥ 1, Lemma implies that r ̺ x (j̺) ≥ 2ε1 for all

x ∈ [(j − 1)̺, j̺ − 1]

◮ we couple the sequence ζ = (ζ1, ζ2, ζ3, . . .) with the random

walk S̺ in such a way that ζj = 1 implies that S̺

T ̺

j̺ = j̺

◮ denote ℓ1 = min{j : ζj = 1}

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Random billiards with cosine reflection law Stationary random tube: quenched invariance principles Finite tube: crossing probabilities and crossing time Knudsen billiards with drift A strongly transient RWRE with unbounded jumps

◮ then, since ζ (and therefore ℓ1) is independent of ω, θℓ1̺ω

has the same law P as ω

◮ this allows us to break the trajectory of the random walk

into stationary ergodic (after suitable shift) sequence of pieces, and then apply the ergodic theorem to obtain the law of large numbers

◮ the stationary measure of the environment seen from the

particle (for the truncated random walk) can also be

  • btained from this construction by averaging along the

cycle

◮ finally, we pass to the limit as ̺ → ∞

Random billiards and RWRE