2236 CHAPTER 65. STOCHASTIC INTEGRATION
Thus Pnk consists of points of [0,T ] which are of this form and these partitions are nested.
Define Φlk (0) ≡ 0, Φl
k (t) ≡ Φ
((γnk
(t− s)+ s)+)
. Now suppose N1 is a set of measure
zero. Can s be chosen such that all jumps for all partitions occur off N1? Let (a,b) bean interval contained in [0,T ]. Let S j be the points of (a,b) which are translations of themeasure zero set N1 by t l
j for some j. Thus S j has measure 0. Now pick s ∈ (a,b)\∪ jS j.It will be assumed that all these mesh points miss the set of all t such that ω→Φ(t,ω)
is not in Lp (Ω;E). To get the other sequence of step functions, the right step functions, justuse a similar argument with δ n in place of γn. Just apply the argument to a subsequence ofnk so that the same s can hold for both.
The following proposition says that elementary functions can be used to approximateprogressively measurable functions under certain conditions.
Proposition 65.3.2 Let Φ ∈ Lp ([0,T ]×Ω,E) , p≥ 1, be progressively measurable. Thenthere exists a sequence of elementary functions which converges to Φ in
Lp ([0,T ]×Ω,E) .
These elementary functions have values in E0, a dense subset of E. If εn→ 0, and
Φn (t) =mn
∑k=1
ΨnkX(tk,tk+1] (t)
Ψnk having values in E0, it can be assumed that
mn
∑k=1||Ψn
k−Φ(tk)||Lp(Ω;E) < εn. (65.3.4)
Proof: By Lemma 65.3.1 there exists a sequence of step functions
Φlk (t) =
mk
∑j=1
Φ
(tk
j−1
)X(tk
j−1,tkj ](t)
which converges to Φ in Lp ([0,T ]×Ω,E) where at the left endpoint Φ(0) can be modifiedas described above. Now each Φ
(tk
j−1
)is in Lp (Ω,E) and is F
(tk
j−1
)measurable and so
it can be approximated as closely as desired in Lp (Ω) with a simple function
s(
tkj−1
)≡
mk
∑i=1
c ji XFi (ω) , Fi ∈F
(tk
j−1
).
Furthermore, by density of E0 in E, it can be assumed each c ji ∈ E0 and the condition 65.3.4
holds. Replacing each Φ
(tk
j−1
)with s
(tk
j−1
), the result is an elementary function which
approximates Φlk.
Of course everything in the above holds with obvious modifications replacing [0,T ]with [a,T ] where a < T .
Here is another interesting proposition about the time integral being adapted.