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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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