DE L ’U NIVERSITÉ DE C LERMONT -F ERRAND 2 Série Mathématiques
J. H. B. K EMPERMAN
On an oscillating random walk
Annales scientifiques de l’Université de Clermont-Ferrand 2, tome 51, série Mathéma- tiques, n
o9 (1974), p. 31-34
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ON AN OSCILLATING RADOM WALK
J.H.B. KEMPERMAN
Let
n ~ 0 ;
Y =x}
be a Markov chain with values in R and such’ n o
that
Here, p
and v denotegiven probability
measures on R, while a and 0 arenon
negative
constants, a + ~ = 1. We are interested in recurrenceproperties
and exact formulae for the process
n
The
special
case p = v isprecisely
theordinary
random walkgoverned by
the measure p . Thespecial
case v(A) =p(-A)
will be called the anti-symmetric
case. In that case one mayidentify
thepoints
y and -y and thus obtain the processY - Iv
n ’-X n+ 11 ;
here,(X )
denotes an i.i.d. sequencen + 1 n n n
of random variables with a common distribution 03BC. If moreover the measure u is carried
by [0,
+ 00) one mayspeak
of a one-sidedantisymmetric
case.Foran
application
to the construction of electrical cables, see[6]
and[4]
p. 208.
For the case where
both p
and v are carriedby {-1,
0,+1~,
this processwas
already
treatedby
BhatEI], [2] .
Thegeneral
process hasapplications
in statistics, see
~3~ ,
and in informationtheory,
seeConsider the measure -1....
where t is a fixed number,
It)
1 . It satisfies theidentity
- ~ +
Here,
Q
denotes the restriction of Q to(-oo, O). Similarly, Q°
and0 . Further, d
x denotes the
probability
measuresupported by (x). Finally,
theabove
equation
is to beinterpreted
in terms of the Banachalgebra
of allfinite measures, where the
multiplication
is taken as theordinary
convolu-tion. Let
similarly, L° ,
L , etc.Using
thatu v
one
easily
finds thatwhere
a
is def i nedby
If P and v are
absolutely
continuous (relative toLebesgue
measure) and x X 0then one further has that
These formulae
have many applications.
We discuss in detail the case where both v and v are
supported by
theset Z of all
integers.
For instance, in the one-sidedantisymmetric
casethe state 0 is recurrent if and
only
ifHere,
denotes the Fourier transformof p .
In thegeneral
case, thestate 0 is recurrent if and
only
ifHere,
Here, the
index 03BC
in P indicates that (S =X1
+ ... + X ) is anordinary
random walk
governed by
the measure . Thequantity
C~
(h)
may also beinterpreted
as the renewal function associated with the random variableZ+
=S
with N = inf{n
> 0 ; S >0},
see0. Similarly,
forC-
(h).Let m and
o 2
denote the mean (assumed finite) and variance associated p 1.1with the measure
similarly,
m v ando2
. Then thefollowing
conditionsv
are each sufficient for the state 0 to be recurrent.
Non-recurrent would be for instance the case
where p
issupported by
such that pn -a-1 .
while v issupported by (-00. 0
such thatv
({-n~~ ~n ’*b"1 ~
with a and b aspositive
constants such that a + b 1.With a
positive probability
0 will never be reached,though
the processalways
moves in the direction of 0,occasionally making huge jumps
across 0.REFERENCES
[1]
B.R. BHAT, Onpendulum-like
random walk, J. Karnatak Univ.(Science)
13
(1968)
97-104.[2]
B.R.BHAT, Ocillating
random walk and diffusion undercentripetal force, Sankhya
Ser. A 31 (1969) 391-402.[3]
D. FELDMAN, Contribution to the "two-armed bandit"problem,
Annals Math.Statist. 33
(1962)
847-856[4]
W.FELLER,
An introduction toprobability theory
and itsapplications,
second ed., vol.
II, Wiley,
New York, 1971.[5]
J.P.M. SCHALKWIJK and K.A.POST,
On the errorprobability
for a classof
binary
recursive feedbackstrategies,
51 pages, to appear.[6]
H. VONSCHELLING,
"Uber dieVerteilung
derKopplungswerte
ingekreuzten
Fernmeldekabeln grosser