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A Renormalization Group Study of Three-Dimensional Turbulence

Philippe Brax

To cite this version:

Philippe Brax. A Renormalization Group Study of Three-Dimensional Turbulence. Journal de

Physique I, EDP Sciences, 1997, 7 (6), pp.759-765. �10.1051/jp1:1997190�. �jpa-00247359�

(2)

A Renormalization Group Study of Three-Dimensional Turbulence

Ph.

Brax

(*)

DAMTP, University

of

Cambridge,

Silver

Street, Cambridge CB39EW,

UK

(Received

24

January

1997, revised 12 March 1997,

accepted

4

April 1997)

PACS.47.27.Ak F1tndarnentals PACS.ll.10.Gh Renormalization

PACS.05.40.+j

Fluctuation

phenomena,

random processes, and Brownian motion

Abstract. We

study

the three-dimensional Navier-Stokes equation with a random Gaussian

force

acting

on

large wavelengths.

Our work has been

inspired by Polyakov's analysis

of

steady

states of two-dimensional turbulence. We

investigate

the time evolution of the

probability

law of

the

velocity potential. Assuming

that this

probability

law is

initially

defined

by

a statistical field theory in the basin of attraction of a renormalization fixed

point,

we show that its time evolution is obtained

by averaging

over small scale features of the

velocity

potential. The

probability

law of

the

velocity potential

converges to the fixed

point

in the

long

time

regime.

At the fixed

point,

the

scaling

dimension of the

velocity

potential is determined to be

-4/3.

We

give

conditions for the existence of such a fixed point of the renormalization group

describing

the

long

time behaviour of the

velocity potential.

At this fixed point, the energy spectrum of three-dimensional turbulence

coincides with a

Kolmogorov

spectrum.

Turbulence is one of the crucial

puzzles

of Theoretical

Physics. Many

methods have been used to tackle such a difficult

problem [Ii.

One

approach studying

the role of scale invariance has

long

been

pursued.

A few years ago

Polyakov suggested using

conformal field theories to

study

turbulence in two dimensions [2].

Polyakov's

idea is that the scale invariant

regime

of

turbulence can be described

by

a conformal field

theory.

In three

dimensions, perturbative

renormalization transformations in momentum space have been used to derive an infrared fixed

point describing

the

long

distance

physics

of the Navier-Stokes

equation [3-6]. Similarly,

probabilistic

solutions of the Navier-Stokes

equation

with no

forcing

term have been

provided by

self-similar

probability

laws for the

velocity

field

[7,8].

We shall use

properties

of the Navier-

Stokes

equation

under

scaling

transformations in order to

study

the time evolution of solutions.

In

particular,

our

analysis

will combine

non-perturbative

statements about the renormalization group and results about 3d conformal field theories

applied

to the Navier-Stokes

equation.

The motion of a fluid is described

by

the

macroscopic velocity

field. We shall suppose that the

macroscopic velocity

field ua is

regularized

at small distances

by

a cut-off a. This cut-off is related to the

viscosity by

~2

U "

II)

(*)

On leave of absence from

SPhT-Saclay, CEA,

91191 Gif sur Yvette, France

(e-mail: braxflamoco.saday.cea.fr)

©

Les

iditions

de

Physique

1997

(3)

760 JOURNAL DE

PHYSIQUE

I N°6

where T is a time

characterizing

the energy

decay

when a

stirring

force is absent. The cut-off

a

plays

a crucial role as it sets the smallest size below which the Navier-Stokes

equation

does not

provide

a sensible

description

of fluid motions. It is also related

ii)

to the

viscosity

and the fact that the Navier-Stokes

equation

is

dissipative.

For

incompressible fluids,

the

velocity

field is

divergenceless:

T7 va = 0.

(2)

This

implies

that the

velocity

field can be written

va = curl ~fia

(3)

where ~fia is the

velocity potential.

We will be interested in the

vorticity

wa = curl va.

(4)

The

vorticity

satisfies the

vorticity

Navier-Stokes

equation

where AI =

curl

F

is

the

orticityforcing

term

and F is the elocity

forcing term.

that the cut-off

a

regulates the product

of

fields appearing in the

non-linear terms of (5). In

order to discard

boundary

effects, we

shall

only

be

interested

in the

case

where the

up all space. Furthermore,

we

shall require the orticity

to

decrease at infinity. The initial

conditions and the external tirring are chosen to be

regularized

random

fields where

the ultra

violet ut-off is given by the scale

a. In

particular, the velocity forcing

term

will

to

be Gaussian with

a white

noise

temporal

dependence and an

Taking into

ccount

the ncompressibilitycondition,

2-point

function is

Fa,«ik, ~d)Fa,Pik', ~d'ii = WOSL kiibaP - ))bik

+

'ibi~d +

~d'i

16)

in

ourier space. The constant Wo determines the

mplitude of

the

forcing while

its

k-dependence

is

defined

by

SL(k).

We

suppose that SL is

a

positive function of

width L~~, I.e. (k)

=

here SL has idth

L~~

and is

centered

around zero, it

also normalized

by

J d~ks(k)

=

I. The idth

is

supposed to

be

arbitrarily all. Notice

that

the spectrum (~)

of

the stirring orce F is ~SL(k) hich

is

L=~ta

(7)

where ~ is a

large

number

depending

on the

forcing

term. Notice that we do not

specify

the

shape

of the function S apart from the

requirement

that it is a smooth normalized function centered around zero. The

spectrum k~SL(k)

is

peaked

around

L~~ implying

that the random

stirring only

acts on very

large

scales. In

particular

this entails that the

2-point

function

(6)

defines a

generic

Gaussian

stirring

force whose action is confined to

large

scales.

For a

given

initial

configuration

and a

given

realization of the

stirring force,

solutions of

(5)

will solve the initial value

Cauchy problem. Starting

from an initial

probability

law

dPo (ifi),

one

can

soive (5)

for a

given

realization of the

stirring

force. This defines the conditional

probability

law

dP(~fia(x,t)[Fa ix, t)) expressing

the

probability

law of ~fi~(x,

t)

for a

given

realization of the

stirring

force

F~.

This

probability

law is such that the Navier-Stokes

equation

is valid

(~

Practically, S(k)

can be taken to be x~

I

exp

-k~,

in that case

k~SL (k)

has a maximum at k

= L~~

(4)

in all correlation functions

(ju~~ (xi, t).. u~ujx~, tjj

=

f(u~~ (xi, tj.. (-(v~ v)u~~

+ iu~~

vjv~

+ u/~u~~ +

M~j.. u~~ix~, tjj (8)

for a

given

realization of the

stirring

force

Fa.

These

equations

are the

Hopf equations.

The conditional

probability

law

dP(~fia(x,t)[Fa ix, t))

is random when seen as a functional of the

stirring

force. After

averaging

over the

forcing

term

realizations,

one

gets

the

probability

law of the

velocity potential

at time t

dl'iffiaiX>t))

"

/dl'(ffia(~>t)ifa(X>t)16~ d/L(Fa(~>t)1 (9)

where

d~(Fa ix, t))

is the Gaussian

probability

law of the

stirring

force at time t. The main

object

of the

present

work is to characterize the

long

time behaviour of

dP(~fia).

We shall suppose that the conditional

probability

at time t is defined

by

a statistical field

theory

dP(~fia ix, t) [Fa (x, t))

= d~fi exp

-St

r

(ifia, Fa) (10)

Z '

where the

partition

function Z is a normalization

factor,

d~fi stands for the functional

integral symbol

and

St,r(ifia, Fa)

is an effective action at time t

depending

on the

regularized

fields.

By

dimensional

analysis,

the action is a

homogeneous

function of

t/T.

After

integrating

over

the

stirring force,

one obtains the effective action

describing

the

probability

law of the

velocity potential

at time t

dl'ilfia)

"

jdlfiexp-St,riffia)

~XP~St,r(ffia)

"

lexp-St,rilfia>Fa)d/Lifai~>t)). ill)

We shall suppose that the

velocity potential

is a field with

scaling

dimension

d~.

This dimension is for instance well-defined if the effective field

theory ill)

is in the basin of attraction of a

fixed

point

of the renormalization group. In that case the

scaling

dimension of

~fi becomes its conformal dimension. In this

communication,

we shall show that the time evolution of solution of

(9) starting

from the initial conditions

ii I)

is determined

by

renormalization transformations.

The evolution of solutions of

(9)

is

given by

ilal~~>~~tj

#

~~~~§bA-lal~>t) eXp-sATt,rlial~~>~~t))

#

/ d§beXp-st,A-TrllfiA-lal~,t)). l12)

ii,aj

This is the

precise

statement that the time evolution of solutions follows renormalization tra-

jectories.

The first

equation implies

that the

velocity potential

lies on the renormalization

trajectory

of a field of dimension

d~,

I.e. the solution

j~(~x, ~~t)

of the Navier-Stokes equa- tion at time

~~t

is

simply

the renormalized field

~fia(~x, t)

of

~fi>-ia lx, t).

The second

equation

entails that the effective action at time

~~t

is obtained after

integrating

over the fluctuations in the range

)~~a, al.

This renormalization transformation is

performed

in momentum space

integrating

over modes in

[a~~, ~a~~].

Let us

emphasize

the role

played by

the cut-off a. The cut-off a is necessary to have a well-defined renormalization

procedure (12).

The time

rescaling exponent

T and the

scaling

dimension of

~fi are

uniquely

determined

T=(, d~=-( l131

(5)

762 JOURNAL DE

PHYSIQUE

I N°6

Notice that the

scaling

dimension of w is dw =

2/3 guaranteeing

that the

vorticity

decreases at

infinity.

Let us now prove these results.

They depend crucially

on

properties

of the

stirring

force

Fa.

Notice that the

spectrum

of the

stirring

force

SL(k)

has

length

dimension -3.

Moreover,

one

obtains

SL( ~)

=

~~S>-i~(k). (14)

~

Using (6),

one can deduce the

following scaling

relation

(Fa()> )), Fa(~, )))

"

~~~~(FA-la(k>L°)> FA-la(k'>L°')). lis)

As the

stirring

force is

Gaussian,

this relation between

2-point

functions

yields

an

equality Fa(~x, ~~t)

=

~~~/~F>-ia(x, t), (16)

I.e. these two random variables have the same

probability

law. In other

words,

one has the

equality

/ /i~~~~fai~X> ~~t))d/Lifai~~> ~~t))

"

/ /ifAlai~>t))d/LifA~lai~>t)) (171

for any functional

f.

This fact will allow us to relate the

probability

law of the stream function at two different times when

taking

the average of

(19).

Let us rewrite the Navier-Stokes

equation

after

rescaling

a ~

~~~a

and T ~

~~~T

~°lt~~

+

iv>-ia v)Ld>-ia

=

iLd>ia v)v>-ia

+

U~~~/~Ld>ia

+

MAia. i18)

At time

t,

the initial condition

(10)

defined

by St,fi(ifi>-i lx, t),F>-i~(x,t))

is a solution of

(18)

where the range of the

integration

over modes for any correlation function is now

[0, ~a~~].

Using (12)

and

(16)

one can substitute

~~~~fia(~x, ~~t)

and

~f+~M~(~x, ~~t)

for

~fi>-ia lx, t)

and

M>-i~(x,t)

in each correlation function. Notice that the fields in each correlation func- tion have now modes

only

in the range

[0, a~~].

The

integration

over the modes in the range

[a~~, ~a~~] only

affects the Boltzmann

weight

exp

St,>-T~ (~fi>-i~ ix, t), F>-1~ ix, t)).

Perform-

ing

the

integration

of the Boltzmann

weight

over these modes

gives

the renormalized Boltzmann

weight

~Xp

-SlTt,T~'~a~~f, ~~t), ~~ Fa~~~t, ~f)) / dlfi~Xp -St,fi ~'~l~la~~>

~~>

~l~~a~~>

~~~' ~~~~

jj ~j

A

The

probability

law of the

velocity potential (12)

is obtained after

averaging

over the Gaussian

stirring

force and

using (17).

The

resulting equations

for the correlation functions

only

involve the fields

~fia(~x, ~~t)

and

Ma (~x, ~~t).

These

equations correspond

to

~)ii~j

+

~~+~~~iva b>z)Lda

=

~~+~~~(Lda b>ziva

+

UbizLda

+

~~i~~fifa 120)

when inserted in correlation functions. The derivatives are taken with respect to

~~t

and ~x.

We now

require

that

(20)

coincides with

(5)

at time

~~t

and coordinates ~x. This is achieved if

d~

= -1-

~, d~

= T 2.

(21)

2

(6)

One can then deduce

(13).

This proves that

(12, 13) specify

the time evolution of the

probability

law of the

velocity potential.

The evolution

equations (12) prescribe

the time

dependence

of the

velocity potential

and its

probability

law. This result is valid for any

given

initial conditions. One would like to

study

the

long

time behaviour of such solutions. One can view

(12)

as

defining

a

dynamical system

in the space of

probability

laws. One can

distinguish

two situations. If the

probability

law

(12)

does not converge to a limit as time goes to

infinity (~

~

cc),

the

long

time behaviour of solutions of the Navier-Stokes

equations

is difficult to

analyse.

In view of the numerous

evidence in favour of an universal

regime

of three-dimensional

turbulence,

one can assume that the

probability

law

(12)

converges as ~ ~ cc. Such a limit is a fixed

point

of the

renormalization group. At the fixed

point

the

scaling

dimension

-4/3

of the

velocity potential

becomes its conformal dimension

(fixed points

of the renormalization group are conformal theories

[9]).

Let us derive criteria for the existence of a fixed

point.

The field

~fij

converges to the renormalized field

~fi of dimension

-4/3.

This

implies

that the renormalized

velocity potential ~~~~fia(~x, ~~t)

becomes a

independent,

I.e. the

dependence

on the cut-off a of the solution of the Navier-Stokes

equation

~fia

(~x, ~~t) disappears

in the

long

time

regime.

Hence if the evolution

(12)

admits a fixed

point

the

long

time behaviour of the solutions of the Navier-

Stokes

equation

is

independent

of the cut-off a. This is the

sign

of an universal behaviour.

Using a£~fij ix, t)

=

-~fi~fij ix, t)

~ 0 as ~ ~ cc one can derive renormalization group

equations

for the

n-point

functions

rz~(x~, t)

=

(vu (xi, t)..

vu(xz~,

t))

of the

velocity

field

where to is a

time origin. These

equations are valid upon convergence

(12) to a fixed point. They

provide

on-trivial tests for the

We

shall

now derive further conditions

for the xistence

of such a

fixed point. The fixed point

atisfies (18)

in

the

limit

when ~

goes

to

infinity.

Using (13), an see

that the

influence

of

the

viscosity ecomes negligible in the

long

time regime

Sn(k)

=

(~)~S(~)) (23)

converges to zero as ~ ~ cc. This

implies

that the

2-point

correlation of

F>-ia

goes to zero and therefore the Gaussian

stirring

force vanishes in the

long

time

regime.

In

particular

this

implies

that the fixed

point

is not influenced

by

the

precise shape

S of the

stirring

force. It is also

independent

of the infrared cut-off L

defining

the

typical

size of the action of the

stirring

force. We have therefore shown that the fixed

point

is neither

dependent

on the ultra-violet

nor the infra-red cut-offs

[10].

Assuming

that the fixed

point represents steady states,

the time derivative of each correlation function vanishes as well. We therefore find that fixed

points

are characterized

by

the

vanishing

of the non-linear terms in the limit ~ ~ cc. The non-linear terms can be

readily

evaluated when the cut-off is rescaled to zero

using properties

of short distance

expansions.

Products of fields become

singular

when the cut-off is removed. For fields called

quasi-primary

fields

ill],

the result of the

product

can be

expanded

in a power series in

a/~.

A

vanishing

limit is obtained if the

leading

term has a

positive exponent.

We shall suppose that the

velocity potential

becomes

a

quasi-primary

field at the fixed

point.

In that case, the nonlinear terms read

~afl7~7((VA-la ~)VA-la)fl

~

())~~

~

~~~1~2,a,A-Ia

+

(24)

(7)

764 JOURNAL DE

PHYSIQUE

I N°6

where

d2

is the conformal dimension of the

leading pseuso-vector

~fi2,a in the

expansion

of the non-linear terms. We can therefore conclude that the fixed

point

is characterized

by

the

inequality

d2

> 4 +

2d~. (25)

This

generalizes

a similar

inequality

obtained

by Polyakov

in two dimensions. As a consequence, notice that

~fi cannot be identified with ~fi2 as

(25)

is not satisfied in that case. This

implies

that

(lfiPlfiulfip)

" o>

(26)

the three

point

function of the

velocity potential

vanishes

identically

at the fixed

point.

This

equation

is an exact closure

equation.

It follows

directly

from the existence of a fixed

point.

One does not need to know the field

~fi2 in order to find

d2.

The dimension

d2

can be determined from a renormalization group

equation involving

the correlation function

rz~,i (x~, t)

=

(£op,b,((va.T7)va) p(xi, t)va(x2, t).. va(xz~+i, t))

of n

velocity

fields and one inser- tion of the non-linear term

rim,iii))~/~xi, t)

+ ~~ ~

~)~

~

~~rn,i(1))~/~xi,t)

= 0.

127)

In conclusion the existence of a fixed

point

and the dimensions of the fields

~fi and

~fi2 are char- acterized

by

renormalization group

equations. Conversely

any conformal field

theory satisfying (25)

such that the

velocity potential

is a

quasi-primary

field of dimension

-4/3

describes the

long

time

regime

of 3d turbulence.

It is

extremely

difficult to construct

explicitly

three-dimensional conformal field theories

describing

an infrared fixed

point

of the renormalization group. Provided that

(12)

converges

to a fixed

point

we can calculate the

2-point

function of the

velocity potential

and then the energy

spectrum

in the

long

time

regime.

The energy

spectrum

is

easily

related to the Fourier

transform of the two

point

function

Ea(k)

=

4~k~ / d~x(va (x)va (0))

exp -2~ikx.

(28)

In the

long

time

regime,

the energy

spectrum

behaves as

Ea(k)

+~

k~~/~ (29)

This

spectrum

is valid for k < I

la.

The exponent is

given by 2d~

+1 =

-5/3 (~).

The

spectrum

coincides with a

Kolmogorov

spectrum

[12]

The solutions of the Navier-Stokes

equation (12)

have some salient features. Let us no- tice that the evolution of the

probability

law of the

velocity potential (12)

makes

explicit

the

breaking

of time reversal invariance

already

present in the Navier-Stokes

equation. Indeed,

the

probability

law at time

~~t

is obtained from the

probability

law at time t

by averaging

over the small scale features of the

velocity potential.

These small scale features are there-

fore lost in the process of evolution. In

particular, knowing

the

probability

law at time

~~t

does not enable one to deduce the

probability

law at time t. Another consequence is that

(~) Our results are

compatible

with the

perturbative

calculations of references

[3-5].

In this case, the

stirring

force is

specified by (Fa,~ (k, w)Fa,p(k', w'))

=

fiXa-i (k)(&~p fit)&(k

+

k')&(w

+

uJ')

(k2 +g~2j where x~-i

(k)

is

equal

to one for k <

a~~

and

zero otherwise. The mass term m = L~~ is small but

guarantees

that there are no infrared

divergences

when k ~ 0. The same

analysis

as in the text shows that

d~

=

~fand

the spectrum behaves like

k@

in the range k < a~~ for 0 < y < 5.

(8)

the renormalization

trajectories

converge to a

non-unitary

conformal field

theory

as

d~

< 0.

This result has also been obtained in 2d

[2].

It reinforces

Polyakov's

idea that turbulence is a

flux state and not an

equilibrium

state described

by

an

unitary theory. Moreover,

at the fixed

point

the energy spectrum is determined to be a

Kolmogorov

spectrum. This result

highly depends

on the fact that the

stirring

force is Gaussian and acts on

large wavelengths.

Another

feature of our

analysis

is that we have derived a

spectrum compatible

with a

Kolmogorov spectrum

without any cascade

hypothesis [12].

Moreover our results go

beyond

the usual scale invariance

analysis ill.

Our renormalization

technique

allows us to derive the time evolution of the

velocity

field when the

viscosity

is non zero. This is not sufficient to characterize the

velocity

field. It is

only

when the

scaling

dimension of

tfie velocity

field and the time evolution

(12)

of the

probability

law of the

velocity potential

are known that a

probabilistic

solution of the Navier-Stokes

equation

is

specified.

A

possible application

would be to use

(12)

in order to

compute the time evolution of the

probability

law of the

velocity potential numerically.

In that

case one could

certainly

use renormalization

techniques

drawn from lattice field

theory.

An- other

interesting

test would be to use

(22)

and

(27)

in order to

numerically

test the convergence of

(12)

to a fixed

point. Finally,

let us note that our results can be

applied

in two

dimensions,

in

particular (25)

is

replaced by Polyakov's

condition

ill (~)

and the energy

spectrum

is still

given by

a

Kolmogorov spectrum.

Assuming

that the

probability

law of the

velocity potential

is a statistical field

theory,

we have shown that its time evolution

corresponds

to renormalization

trajectories.

We have assumed that these renormalization

trajectories

lead to a fixed

point.

The fixed

point

is

non-unitary

and characterized

by

renormalization group

equations.

In that case we have shown that a

Kolmogorov spectrum

is obtained in the

long

time

regime.

The existence of such a fixed

point

of the renormalization group

governing

the

long

time

regime

of turbulence seems

physically

clear in view of the numerous

experimental

as well as

computational

evidence in favour of a

Kolmogorov spectrum.

It is a

challenging problem

to construct such a field

theory.

Acknowledgments

am

grateful

to W.

Eholzer,

M.

Gaberdiel,

H.K. Moflatt and R. Peschanski for useful discus- sions and

suggestions.

References

ill

Frisch

U.,

Turbulence

(Cambridge University Press).

[2]

Polyakov A-M-,

N~cl.

Phys.

8396

(1993)

397.

[3] Forster

D.,

Nelson D-R- and

Stephen M.J., Phys.

Rev. Lett. 36

(1976)

867.

[4] Forster D. and Nelson

D.M., Phys.

Rev. A16

(1977)

732.

[5] Dedominicis C. and Martin

P.C., Phys.

Rev. A19

(1979)

419.

[6] Yakhot V. and

Orszag S., Phys.

Rev. Lett. 57

(1986)

1722.

[7] Foias C. and Temam

R.,

Comm~n. Math.

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90

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181.

[8] Foias C. and Temam

R.,

India. Univ. Math. J. 29

(1980)

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[9] Belavin

A.A., Polyakov

A-M- and Zamolodchikov

A.B.,

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333.

[10] Vergassola M., Phys.

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[12] Kolmogorov A.N.,

C.R. Acad. Sci. URSS30

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301.

(~) The stream function ~l satisfies

tfi>-ia(~)tfi~-ia(~)

+~

())~~~~~~ ~l2,~-i~ (~)

with d2 >

2d~.

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