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k
FS
Proposition 6.13
In a finitary pLTS, for every k
0 the relation
is closed and
convex.
k
FS
Proof
By induction on k .For k
=
0 it is obvious. So let us assume that
is
closed and convex. We have to show that
( k +
1)
·
s
is closed and convex, for every state s
(6.24)
FS
( k + 1)
FS
If s
ʵ , then this follows from the corollary above, since in this case s
·
coincides with
{
ʔ
|
ʔ
ʵ
}
. So let us assume that this is not the case.
A
, which we know by the corollary
above to be closed and is obviously convex. Also for every ʘ and ʱ we let
For every A
Act let R A ={
ʔ
|
ʔ
−ₒ}
ʱ
k
FS ) )
G ʘ , ʱ
:
={
ʔ
|
( ʔ
·
)
( ʘ
·
(
=∅}
.
ʱ
By Corollary 6.7 , the relation
is lifted from a closed convex relation. By Corol-
FS ) is also
closed. So we can appeal to Lemma 6.35 and conclude that each G ʘ , ʱ is closed.
By Definition 6.2 (2), it is also easy to see that G ʘ , ʱ is convex. But it follows that
s
k
FS
k
lary 6.10 , the assumption that
is closed and convex implies that (
( k + 1)
FS
·
is also closed and convex as it can be written as
ʱ
−ₒ
A
∩{
R A |
s
−ₒ}∩∩{
G ʘ , ʱ |
s
ʘ
}
Before the main result of this section we need one more technical lemma.
k
Lemma 6.36
Let S be a finite set of states. Suppose
R
S
× D sub ( S ) is a
( k + 1)
k . Then
sequence of closed convex relations such that
R
R
k = 0
k )
k = 0 R
k ) .
(
R
(
k ) ʘ for every k
R denote (
k = 0 R
k ) and suppose ʔ (
Proof
Let
R
0. We have
R ) ʘ .
to show that ʔ (
,which is easily seen to be a closed
set. For each k , we know from Lemma 6.34 that the set Ch (
Let G
={
f : S
D sub ( S )
|
ʘ
=
Exp ʔ ( f )
}
k ) is closed. Finally,
R
k ) ʘ , Proposi-
consider the collection of closed sets H k
k )
=
Ch (
R
G ; since ʔ (
R
tion 6.1 assures us that all of these are non-empty. Also H ( k + 1)
H k and, therefore,
k = 0 H k is also nonempty.
Let f be an arbitrary element of this intersection. For any state s
by the finite-intersection property (Theorem 2.4)
R ) and
dom (
R )
k )wehave s
k f ( s ), that is s
R f ( s ). So
for every k
0, since dom (
dom (
R
R
R , f
R ). From convexity and Proposition 6.1 ,
f is a choice function for
Ch (
R )
it follows that ʔ (
Exp ʔ ( f ). But from the definition of the G we know that
ʘ
=
Exp ʔ ( f ), and the required result follows.
FS ʘ if and only if s
FS ʘ.
Theorem 6.14
In a finitary pLTS, s
FS
FS
Proof
Since
it is sufficient to show the opposite inclusion, which by
FS is a failure simulation, viz. if
FS
FS ). Suppose s FS ʘ ,
definition holds if
F (
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