In mathematics , the Paley–Wiener integral is a simple stochastic integral . When applied to classical Wiener space , it is less general than the Itō integral , but the two agree when they are both defined.
The integral is named after its discoverers, Raymond Paley and Norbert Wiener .
Definition
Let
i
:
H
→ → -->
E
{\displaystyle i:H\to E}
be an abstract Wiener space with abstract Wiener measure
γ γ -->
{\displaystyle \gamma }
on
E
{\displaystyle E}
. Let
j
:
E
∗ ∗ -->
→ → -->
H
{\displaystyle j:E^{*}\to H}
be the adjoint of
i
{\displaystyle i}
. (We have abused notation slightly: strictly speaking,
j
:
E
∗ ∗ -->
→ → -->
H
∗ ∗ -->
{\displaystyle j:E^{*}\to H^{*}}
, but since
H
{\displaystyle H}
is a Hilbert space , it is isometrically isomorphic to its dual space
H
∗ ∗ -->
{\displaystyle H^{*}}
, by the Riesz representation theorem .)
It can be shown that
j
{\displaystyle j}
is an injective function and has dense image in
H
{\displaystyle H}
.[citation needed ] Furthermore, it can be shown that every linear functional
f
∈ ∈ -->
E
∗ ∗ -->
{\displaystyle f\in E^{*}}
is also square-integrable : in fact,
‖ ‖ -->
f
‖ ‖ -->
L
2
(
E
,
γ γ -->
;
R
)
=
‖ ‖ -->
j
(
f
)
‖ ‖ -->
H
{\displaystyle \|f\|_{L^{2}(E,\gamma ;\mathbb {R} )}=\|j(f)\|_{H}}
This defines a natural linear map from
j
(
E
∗ ∗ -->
)
{\displaystyle j(E^{*})}
to
L
2
(
E
,
γ γ -->
;
R
)
{\displaystyle L^{2}(E,\gamma ;\mathbb {R} )}
, under which
j
(
f
)
∈ ∈ -->
j
(
E
∗ ∗ -->
)
⊆ ⊆ -->
H
{\displaystyle j(f)\in j(E^{*})\subseteq H}
goes to the equivalence class
[
f
]
{\displaystyle [f]}
of
f
{\displaystyle f}
in
L
2
(
E
,
γ γ -->
;
R
)
{\displaystyle L^{2}(E,\gamma ;\mathbb {R} )}
. This is well-defined since
j
{\displaystyle j}
is injective. This map is an isometry , so it is continuous .
However, since a continuous linear map between Banach spaces such as
H
{\displaystyle H}
and
L
2
(
E
,
γ γ -->
;
R
)
{\displaystyle L^{2}(E,\gamma ;\mathbb {R} )}
is uniquely determined by its values on any dense subspace of its domain, there is a unique continuous linear extension
I
:
H
→ → -->
L
2
(
E
,
γ γ -->
;
R
)
{\displaystyle I:H\to L^{2}(E,\gamma ;\mathbb {R} )}
of the above natural map
j
(
E
∗ ∗ -->
)
→ → -->
L
2
(
E
,
γ γ -->
;
R
)
{\displaystyle j(E^{*})\to L^{2}(E,\gamma ;\mathbb {R} )}
to the whole of
H
{\displaystyle H}
.
This isometry
I
:
H
→ → -->
L
2
(
E
,
γ γ -->
;
R
)
{\displaystyle I:H\to L^{2}(E,\gamma ;\mathbb {R} )}
is known as the Paley–Wiener map .
I
(
h
)
{\displaystyle I(h)}
, also denoted
⟨ ⟨ -->
h
,
x
⟩ ⟩ -->
∼ ∼ -->
{\displaystyle \langle h,x\rangle ^{\sim }}
, is a function on
E
{\displaystyle E}
and is known as the Paley–Wiener integral (with respect to
h
∈ ∈ -->
H
{\displaystyle h\in H}
).
It is important to note that the Paley–Wiener integral for a particular element
h
∈ ∈ -->
H
{\displaystyle h\in H}
is a function on
E
{\displaystyle E}
. The notation
⟨ ⟨ -->
h
,
x
⟩ ⟩ -->
∼ ∼ -->
{\displaystyle \langle h,x\rangle ^{\sim }}
does not really denote an inner product (since
h
{\displaystyle h}
and
x
{\displaystyle x}
belong to two different spaces), but is a convenient abuse of notation in view of the Cameron–Martin theorem . For this reason, many authors[citation needed ] prefer to write
⟨ ⟨ -->
h
,
− − -->
⟩ ⟩ -->
∼ ∼ -->
(
x
)
{\displaystyle \langle h,-\rangle ^{\sim }(x)}
or
I
(
h
)
(
x
)
{\displaystyle I(h)(x)}
rather than using the more compact but potentially confusing
⟨ ⟨ -->
h
,
x
⟩ ⟩ -->
∼ ∼ -->
{\displaystyle \langle h,x\rangle ^{\sim }}
notation.
See also
Other stochastic integrals:
References
Park, Chull; Skoug, David (1988), "A Note on Paley-Wiener-Zygmund Stochastic Integrals", Proceedings of the American Mathematical Society , 103 (2): 591–601, doi :10.1090/S0002-9939-1988-0943089-8 , JSTOR 2047184
Elworthy, David (2008), MA482 Stochastic Analysis (PDF) , Lecture Notes, University of Warwick (Section 6)
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