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(a)
(b)
Fig. 4.1 A resolution
Lemma 4.1
For any test T and process P ,ifo 1 , o 2 A
( T , P ) , then their weighted
average o 1 p
o 2 is also in
A
( T , P ) for any p
[0, 1] .
Proof
| Act P ]] that give rise
to o 1 , o 2 . We take their disjoint union, except initially we let ʘ :
Let
R 1 , ʘ 1 ,
1
,
R 2 , ʘ 2 ,
2
be the resolutions of [[ T
=
ʘ 1 p
ʘ 2 ,to
define the new resolution
R 1
R 2 , ʘ ,
1 ∪ₒ 2
. It is easy to see that the new
resolution generates the interpolated tuple o 1 p
o 2 as required.
Definition 4.4 (Probabilistic Testing Preorders)
pmay Q if for every ʩ test T ,
(i)
P
A
( T , P )
Ho A
( T , Q ).
pmust Q if for every ʩ test T ,
(ii)
P
A
( T , P )
Sm A
( T , Q ).
These preorders are abbreviated to P
pmay Q and P
pmust Q , when
|
ʩ
|=
1, and
their kernels are denoted by
pmay and
pmust , respectively.
If
|
ʩ
|=
1, then vector-based testing degenerates into scalar testing. In general, if
|
> 1, then vector-based testing appears more discriminating than scalar testing.
Surprisingly, if we restrict ourselves to finitary processes, then scalar testing is equally
powerful as vector-based testing. A key ingredient of the proof is to exploit a method
of testing called reward testing , which will be introduced in Sect. 4.4 .
ʩ
|
 
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