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a
closed and convex. Its lifting coincides with
, which can be shown by some
arguments analogous to those in the proof of Proposition 6.3 .
The second consequence of Theorem 6.9 concerns the manner in which diver-
gent computations arise in pLTSs. Consider again the infinite state pLTS given in
Example 6.5 . There is no state s that wholly diverges, that is satisfying s
ʵ , yet
there are many partially divergent computations. In fact for every k
2wehave
1
s k
k [[ a. 0 ]]. This cannot arise in a finitary pLTS; if there is any partial derivation
in a finitary pLTS, ʔ
ʔ with
ʔ |
|
ʔ
|
>
|
, then there is some state in the pLTS
that wholly diverges.
WesayapLTSis convergent if s
ʵ for no state s
S .
Lemma 6.18 Let ʔ be a subdistribution in a finite-state, convergent and determin-
istic pLTS. If ʔ
ʔ then
ʔ |
|
ʔ
|=|
.
Proof
S . In other words,
each ˄ sequence from a state s is finite and ends with a distribution that cannot enable
a ˄ transition. In a deterministic pLTS, each state has at most one outgoing transition.
So from each s there is a unique ˄ sequence with length n s
Since the pLTS is convergent, then s
ʵ for no state s
0.
˄
−ₒ
˄
−ₒ
˄
−ₒ···
˄
−ₒ
˄
−ₒ
s
ʔ 1
ʔ 2
ʔ n s
Let p s be ʔ n s ( s ), where s is any state in the support of ʔ n s . We set
=
{
n s |
}
n
max
s
S
p
=
min
{
p s |
s
S
}
ʔ
where n and p are well defined as S is assumed to be a finite set. Now let ʔ
be any weak derivation constructed by a collection of ʔ k , ʔ k such that
ʔ 0
+ ʔ 0
ʔ
=
˄
−ₒ
ʔ 1
ʔ 0
ʔ 1
+
.
˄
−ₒ
ʔ k + 1
ʔ k
ʔ k + 1 +
.
with ʔ = k = 0 ʔ k . From each ʔ kn + i
with k , i
∈ N
, the block of n steps of ˄
transition leads to ʔ ( k + 1) n + i
ʔ ( k + 1) n + i |≤|
ʔ kn + i |
such that
|
(1
p ). It follows that
j = 0 |
ʔ j |= n 1
0 k = 0 |
ʔ kn + i |
i =
n 1
i = 0 k = 0 |
ʔ i |
p ) k
(1
= n 1
i = 0 | ʔ i |
1
p
ʔ 0 |
n
p
≤|
Therefore, we have that lim k ₒ∞ ʔ k
| ʔ |=| ʔ |
=
0, which in turn means that
.
 
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