A NNALES DE L ’I. H. P., SECTION B
M ILOSLAV J I ˇ RINA
A simplified proof of the Sevastyanov theorem on branching processes
Annales de l’I. H. P., section B, tome 6, n
o1 (1970), p. 1-7
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A simplified proof
of the Sevastyanov theorem
on
branching processes
Miloslav
JI0158INA
VOL. V I, N° 1, 1970, P. 1-7. Calcul des probabilités et Statistique.
SUMMARY. - The paper
presents
a newproof
of a well known theorem(Sevastyanov)
on necessary and sufficient conditions for thedegeneration
of a
branching
processes with ntypes
ofparticles.
SOMMAIRE. - Cet article
presente
une demonstration nouvelle d’un théorème bien connu(Sevastyanov)
sur les conditions necessaires etsuffisantes pour la
degenerescence
des processus en cascade avec ntypes
departicules.
One of the most
important
theorems onbranching
processes withn-types
ofparticles (n-dimensional
Galton-Watsonprocesses)
is theSevastyanov’s
theorem ondegeneration.
Theoriginal proof
of thistheorem,
aspresented
in[I ],
iscomplicated
and is based on bothproba-
bilistic and
non-probabilistic arguments.
It is the author’s belief that theproof presented
in this paper issimpler. Moreover,
it usedanalytic
tools
only.
We shall consider
discrete-time-parameter
processesonly,
i. e. weshall suppose that the
time-parameter
t assumes the values t =0, 1, 2,
...We shall denote
by 9
a Markovianhomogeneous branching
process with ntypes
ofparticles.
We shall call 9shortly
a n-dimensionalbranching
process. We shall
distinguish
theparticles by
indicesi = 1, 2,
..., n.The
basic set of indices will be denotedby
I= [1, 2, ..., n].
IfA =
[0, 1, 2, ... ],
then A" is the state space of ~‘. The states of 9 will be2 MILOSLAV JIRINA
denoted
by a = [al, a2,
..., To denotespecial
vectors, we shallwrite
0
=[0,
...,0], 1
=[1,
...,1] and ei
will be the i-th unit vector.We shall denote
by P;(t, a)
theprobability
of transition from thestate e;
to the state a after t time units. For
B c: A", PI(t, B)
will be the corres-ponding probability
ofB,
i. e.We shall denote
by F~(t, x)
thegenerating
function ofPi(t, a),
i. e.where x =
[Xl’
... We shall writeF(t, x)
instead ofx),
...,Fn(t, x)].
It is well known that(1) F(s + t), x))
=F(s, F(t, x)).
For i, j
EI,
we shall writeWe shall suppose that all are finite and we shall denote
by M(t)
the moment matrix In all
symbols
we have introduced thetime-parameter t
will beomitted,
if t = 1. It is well known thatM(t) =
Mt.The maximal characteristic number of M will be denoted
by
R. Sincethe
branching process
isuniquely
determinedby
the basic vectorF(x) =
...Fn(x)],
we mayspeak
of abranching
process definedby
thegenerating
functions ...,The subsets of the basic index set I =
[1, 2,
...,n]
will be denotedby J,
K orI~.
If J cI, c(J)
will denote the number of elements of J. Ifx =
[x ~,
...,xn],
then will denote thec(J)-dimensional
vector thecoordinate of which are x~, i E J.
Generally,
we shall express the fact that x~belongs
to the i-thparticle by
the index ionly,
notby
theposition
of the coordinate Xi in vector ; f. i.
x2)
and(x2, x 1 )
will be the same vector for our purposes. This willsimplify
theforming
of new vectorsby sub-vectors;
f. i. if I =[1, 2, 3, 4],
J =[1, 3],
K =[2, 4],
=[yl, y3], Z~K~ - [Z2~ Z4],
then x =[.y~J), Z~K~]
= Y3, Z2,Z4) =
Z2, Y3,Y4).
We shall write for J c
I,
M~’~
is ac(J)-dimensional
matrix and we shall denote its maximal charac- teristic numberby R~’~.
If J c
I,
we shall denoteby
thec(J)-dimensional branching
process(with particle-indices i E J),
definedby
thegenerating
functionsLet be the transition
probabilities
of~~’~.
Thenfor
each B cIt follows from
(3)
that(4) (defined by (2))
is the moment matrixof ~~’~.
Let J c K c
I ;
J will be called closed in K(with
respect to~),
ifIt follows from
(3)
that(5)
J is closed in K with respect to ~if
andonly if
it is closed in K with respect to~~K~.
An index set J c I will be called
decomposable (with respect
to~),
ifif there exist two
non-empty
anddisjoint
setJi
cJ, J2
c J such thatJ1 ~ J2
= J andJ
1 is closed in J. J will be calledindecomposable
if it isnot
decomposable. Clearly
(6)
J isindecomposable if
andonly if
isindecomposable.
Also
(7)
J isindecomposable
with respect to ~if
andonly if
it isindecomposable
with respect to~’~’~.
An index set J will be called
final (with
respect to~),
if it is indecom-posable
and ifIt follows
again
from(3)
that(8)
J isfinal
with respect to ~if
andonly f
itis final
with respect to~~’~.
4 MILOSLAV JIRINA
We shall call
the
degeneration probabilities
of and p =(pl,
...,pn)
thedegeneration- probability
vector of We shall calldegenerate
if p =I.
It is well known thatand that
(10)
P isdegenerate if
andonly if I
is theonly
solutionin
[0, 1]" of
the systemF(x)
= x.In the
proof
of the main theorem we shall need two lemmas.LEMMA A.
If
J cI,
K cI,
J n K =0,
J ~ K =I,
J closed in I andif
both
~~’~
and~~K~
aredegenerate,
then ~ isdegenerate.
Proo_f:
- Let p =(pl,
...,pn)
be thedegeneration-probability
vectorof Since J is closed in
I, Fi(x)
with i E J does notdepend
onx~
withj E
Kand, consequently
for all i E J
by (9).
From(10), (11)
and theassumption
that isdege-
nerate it follows that
Then and
again
Hence
p = 1.
LEMMA B.
- If, for
J cI,
notdegenerate,
then ~ is notdegenerate.
Proof
- Let us write K = I - J. For eachx = (x 1, ... , xn)
andeach i E J we have
By (1)
Generally
(12) x~’~) >__ Fi(t, x)
for each i E J and t,and
denoting by pi
thedegeneration probabilities
of * andby qi(i E J)
the
degeneration probabilities
of~~’~,
we haveby (12)
According
to theassumption, qi
1 for at least one i EJ,
and then pl 1by (13). Hence, ~
is notdegenerate.
THEOREM
(Sevastyanov). degenerate if
andonly if .‘(a)R
1 and(b)
there are nofinal
index sets.’
.
Proof
- Let us suppose thatthe conditions (a)
and(b)
are satisfied.(i)
We shall first assume that the moment matrix M isindecomposable.
Let p =
(pl,
...,pn)
be thedegeneration-probability
vector and let J be the set of all indices i forwhich pi
1. Let us suppose that J is non-empty.
Then for each i E I
where q =
(qi,
...,qn)
is a vector such thatBy (9)
and(14)
we have for each i E IHence, M(I - p) ~ R(I - p)
and since Jsupposed
to benon-empty, 1 -
p is aneigen-vector belonging
toR, according
to a well-known theo-rem on
non-negative
matrices. But thenand since M is
indecomposable,
1 > 0 for alli E I,
i. e. J = I. It follows now from(16)
and(17)
that R = 1 and6 MILOSLAV JIRINA
By ( 15), qi
> 0 for alli E J = I,
and sinceF~
is a power series with non-negative
coefficientsP;(a),
it follows from(18),
thatHence, M~~
=Pi(e)
for alli, j
EI,
and sinceM is a sub-stochastic matrix. On the other
hand,
we haveproved
thatR =
1,
whichimplies
that M is a stochasticmatrix,
i. e.It follows that I is a final set of indices and this is a contradiction to the condi- tion
(b).
We came to this contradiction on the basis of theassumption
that J is
non-empty. Hence,
J must beempty,
i. e. p =I.
(ii)
We shall supposeagain
that conditions(a)
and(b) hold,
but M willnow be an
arbitrary
moment matrix. It is well-known that there exists index setsIi
c I(l
=1, 2,
...,k)
such thatI,
aredisjoint,
M(Id
areindecomposable
andWe shall write
J1
=I1 ~
... u1[. By (6)
and(7), I,
isindecomposable
with
respect
to~~I1~,
and it is well known thatR~II> >__
R.Hence, by (4), (8)
andpart (i)
of thisproof,
each~~I’~
isdegenerate.
Inparticular, ~~
>is
degenerate.
Let us suppose that we havealready proved
thatis
degenerate.
It follows from(20)
and(5)
thatJ[
is closed inJ[+
1 withrespect
to 1and
hence 1 ~ isdegenerate according
to Lemma A.By induction,
isdegenerate.
We shall prove that conditions
(a)
and(b)
are necessary(iii)
Let us suppose that there exists a final index set J c I.According
to the definition of a final set,
Then
F’~(2, 0)
= = = 0and, generally, 0)
= 0for all i E J and all t.
Hence,
the process~~’~
is notdegenerate
and accord-ing
to LemmaB,
~ is also notdegenerate.
(iv)
Let us suppose that R > 1. It is well-known from thespectral theory
ofnon-negative
matrices that thereexists j E I
and s such that> 1.
Let
be a newbranching
process with the index setI,
gene- ratedby
basicgenerating
functionsFi(X)
=F~(s, x). According
to(1),
the
general generating
functionsof
areF;(t, x)
=F;(st, x) and,
conse-quently,
Let us write J
= {J}.
Then is a one-dimensionalsubprocess
of *with the first moment
Mjj(s)
> 1 andaccording
to a well-known theoremon one-dimensional
branching
processes, is notdegenerate. By
Lemma
B, ~
is also notdegenerate. But, according
to(21 ),
~ and * havethe same
degeneration-probability
vectorand, consequently, *
is notdegenerate.
REFERENCES
[1] B. A. SEVASTYANOV, Theory of branching processes, (Russian) Uspekhi mat. nauk., 6 (6), 1951, 47-99.
(Manuscrit reçu le 17 mars 1969).