On a pairing heuristic in binpacking
Citation for published version (APA):
Frenk, J. B. G. (1986). On a pairing heuristic in binpacking. (Memorandum COSOR; Vol. 8613). Technische
Universiteit Eindhoven.
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Published: 01/01/1986
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EINDHOVEN UNIVERSITY OF TECHNOLOGY
Facult
y
of Mathematics and Computing Science
Memorandum COSOR 86-13
On
a pairing heuristic
in binpacking
by
J.B.G. Frenk
Eindhoven, the Netherlands
October 1986
ON A PAffilNG HEURISTIC IN BINPACKING
ABSTRACT
For the analysis of a pamng heuristic in binpacldng an important result is used
without proof in [I] and [2]
.
In this note we discuss this result and give
a
detailed proof of it.
Introduction
Let n
ENbe given and suppose
(X" ..
.
•
X.) is
8 n -dimensional stochastic vector with joint densityf
(x"
...
• x.)
Moreover assume
(
i)
OS
Ki
5 I
i
= I, ... ,n(ii)
The
stochastic vector
<X<>(I).Xo(2) •.
.
.• X<>(.»
is distributed
as
(X
"Xl
'
...• X.)
for every
per-mutation
C1on
(I •...•
nl
.
(iii)
f(X"Xl.
···
.x.) =f(1-x,,
'
" .x.)
Remark
Condition (ii) states that we are dealing with a finite sequence of so
-
called exchangeable random
vari-ables (cf.
[3]).
while condition (iii) is a symmelry condition.
Note that by (ii) the symmelry in (iii) holds in every component.
Before staling tbe main result introduce the following notations
t
i
if
tbe event
A
happens
1
'-A '-0
otherwise
{
+
I
(i.):= _
I
Iif
Xi>
'2
Iif
lLS'2
i
=I, ...
,n
i
=1,' .. ,n
If we order the random variables
L
in non-decreasing order. say
r
i,SI
i,S
by
(ik)tbe label of the
k
-order statistic of the sequence
(r
ilr
.
l
.
Now tbe main result reads
as
follows.
2
-Theorem 1
Suppose the random variables
{K
i }."=1
satisfy the conditions (i), (ii) and
(iii).
Then the following results hold
a)
U:
"i
e
A}
and
(Ci),i
e
A}
are independent for every subset
A
c (1,2, ..
.
,n
1
b)
/P
{(!!)
=
1t(i.),k
e
A}
=
rr
/P
((i.)
= 1t(i.)}
'eA
for every subset
A
c
{1,2, ... ,n} and
for every function 1t: {1,2," .
,n} -4{-I, I}
Proof For every sequence
{Yi
1.':'1
with
Yi
e (0,
t )
and cr SQme permutation on {I, ... ,n} we obtain
/P
(Io(i)';;
Ya(i)'
(cr(i» = 1t(cr(i», i=l, ...
,k}
== /P{I-Ko(i)';; Yo(i) (i e C) "
Ka(i)';; Yo(i)
(i e (I,'"
,k}-C))
where 1';;
k ,;;
n
and C :=
[j:
1,;;
j';;
k
&
1t(crU» = I}
By (ii) and
(iii)
it follows easily
/P
(.!:.a(i)';; Yo(i),(cr(i» = 1t(cr(i» i = 1, ...
,k}
=(1)
/P{Ko(i)';;
Y<>(i);i
=
1,'"
,k}
=
/P{Ki';; Y<>(i);i
=
1,'"
,k}
and this implies
/P (Ia(i)';; Yo(i);
i
=
1, ...
,k}
==
L
/P
(I<>(i)';; Yo(i), (cr(i» = 't(cr(i»;i = 1," .
,k}
=
<eD
(2)
=
L
/P (Ki';; Ya(i);
i = 1," .
,k}
=
2'/P (Ki';; Ya(i);
i = 1,'"
,k}
tED
where Disthe set of functions 't: {1,2,' .. ,n}
-4{-1,+1} which are different on (cr(I),' .. ,cr(k)}.
Moreover by
(l)3
-lP
(G(i» = 7t(G(i»; i = I, ...
,k} ==
lP(Io(i)S
t,
(á(i» = 7t(G(i», i = I,' " ,
k}
=
(3)
=
lP(Xi
S
t;
i
=
I,··
·
,k}
.
Sinee the density
f
(x" ... ,x.)
issymmetrie it is easy
to prove that for every I
$IS n-I
and this implies using
lP(X
1 $t )
=
t
that
(4)
Now by
the relations (I), (2), (3) and (4)
lP
(Io(i)S Yo(i),(G(i» = 7t(G(i»; i=I,' .
.
,k)=
lP
(Xi
S
Yo(i);
i
=
I,···
,k}
=
lP
(G(i»
= 7t(G(i»; i=I,' .
.
,k}.1P (1:o(i)
$Yo(i);
i=I," .
,k}
and so we have proved the result
in
(a)
In order
to
prove
the
result
in
b) we note !hat for every subset
A
c (1,2, .
.
.
,n)
and every funetion
7t:
(1,2,
.
.
.
,n)
-+ (-I,+I)
lP
((i.) =
7t(i.);
k
EA}
=
=
L
lP(Io(i) S
t
,1:0(1) $ Ia(2)S ... S
Ia(.),(G(k
» =
7t(G(k
»;
k
e
A}
a
=
L
lP (Io(i)
st,
Io(l)
$ . ..S Io(.)}
lP (G(k»
=
7t(G(k
»;
k
EA }
a
where we have used (a) to obtain the last equality.
Henee
4
-= riA I
L
lP (fo(l) S ... S IG(A).fG(i) s t ;i
=I, ...
,n}G
=
2-
IA I=
TI
lP
(!!)
=
n(i.)}
hAReferenees
[)