In mathematical analysis, an integral linear operator is a linear operator T given by integration; i.e.,
-
(
T
f
)
(
x
)
=
∫
f
(
y
)
K
(
x
,
y
)
d
y
{\displaystyle (Tf)(x)=\int f(y)K(x,y)\,dy}
where
K
(
x
,
y
)
{\displaystyle K(x,y)}
is called an integration kernel.
More generally, an integral bilinear form is a bilinear functional that belongs to the continuous dual space of
X
⊗
^
ϵ
Y
{\displaystyle X{\widehat {\otimes }}_{\epsilon }Y}
, the injective tensor product of the locally convex topological vector spaces (TVSs) X and Y. An integral linear operator is a continuous linear operator that arises in a canonical way from an integral bilinear form.
These maps play an important role in the theory of nuclear spaces and nuclear maps.
Definition - Integral forms as the dual of the injective tensor product
Let X and Y be locally convex TVSs, let
X
⊗
π
Y
{\displaystyle X\otimes _{\pi }Y}
denote the projective tensor product,
X
⊗
^
π
Y
{\displaystyle X{\widehat {\otimes }}_{\pi }Y}
denote its completion, let
X
⊗
ϵ
Y
{\displaystyle X\otimes _{\epsilon }Y}
denote the injective tensor product, and
X
⊗
^
ϵ
Y
{\displaystyle X{\widehat {\otimes }}_{\epsilon }Y}
denote its completion.
Suppose that
In
:
X
⊗
ϵ
Y
→
X
⊗
^
ϵ
Y
{\displaystyle \operatorname {In} :X\otimes _{\epsilon }Y\to X{\widehat {\otimes }}_{\epsilon }Y}
denotes the TVS-embedding of
X
⊗
ϵ
Y
{\displaystyle X\otimes _{\epsilon }Y}
into its completion and let
t
In
:
(
X
⊗
^
ϵ
Y
)
b
′
→
(
X
⊗
ϵ
Y
)
b
′
{\displaystyle {}^{t}\operatorname {In} :\left(X{\widehat {\otimes }}_{\epsilon }Y\right)_{b}^{\prime }\to \left(X\otimes _{\epsilon }Y\right)_{b}^{\prime }}
be its transpose, which is a vector space-isomorphism. This identifies the continuous dual space of
X
⊗
ϵ
Y
{\displaystyle X\otimes _{\epsilon }Y}
as being identical to the continuous dual space of
X
⊗
^
ϵ
Y
{\displaystyle X{\widehat {\otimes }}_{\epsilon }Y}
.
Let
Id
:
X
⊗
π
Y
→
X
⊗
ϵ
Y
{\displaystyle \operatorname {Id} :X\otimes _{\pi }Y\to X\otimes _{\epsilon }Y}
denote the identity map and
t
Id
:
(
X
⊗
ϵ
Y
)
b
′
→
(
X
⊗
π
Y
)
b
′
{\displaystyle {}^{t}\operatorname {Id} :\left(X\otimes _{\epsilon }Y\right)_{b}^{\prime }\to \left(X\otimes _{\pi }Y\right)_{b}^{\prime }}
denote its transpose, which is a continuous injection. Recall that
(
X
⊗
π
Y
)
′
{\displaystyle \left(X\otimes _{\pi }Y\right)^{\prime }}
is canonically identified with
B
(
X
,
Y
)
{\displaystyle B(X,Y)}
, the space of continuous bilinear maps on
X
×
Y
{\displaystyle X\times Y}
. In this way, the continuous dual space of
X
⊗
ϵ
Y
{\displaystyle X\otimes _{\epsilon }Y}
can be canonically identified as a vector subspace of
B
(
X
,
Y
)
{\displaystyle B(X,Y)}
, denoted by
J
(
X
,
Y
)
{\displaystyle J(X,Y)}
. The elements of
J
(
X
,
Y
)
{\displaystyle J(X,Y)}
are called integral (bilinear) forms on
X
×
Y
{\displaystyle X\times Y}
. The following theorem justifies the word integral.
Theorem[1][2]—The dual J(X, Y) of
X
⊗
^
ϵ
Y
{\displaystyle X{\widehat {\otimes }}_{\epsilon }Y}
consists of exactly of the continuous bilinear forms u on
X
×
Y
{\displaystyle X\times Y}
of the form
-
u
(
x
,
y
)
=
∫
S
×
T
⟨
x
,
x
′
⟩
⟨
y
,
y
′
⟩
d
μ
(
x
′
,
y
′
)
,
{\displaystyle u(x,y)=\int _{S\times T}\langle x,x'\rangle \langle y,y'\rangle \;d\mu \!\left(x',y'\right),}
where S and T are respectively some weakly closed and equicontinuous (hence weakly compact) subsets of the duals
X
′
{\displaystyle X^{\prime }}
and
Y
′
{\displaystyle Y^{\prime }}
, and
μ
{\displaystyle \mu }
is a (necessarily bounded) positive Radon measure on the (compact) set
S
×
T
{\displaystyle S\times T}
.
There is also a closely related formulation [3] of the theorem above that can also be used to explain the terminology integral bilinear form: a continuous bilinear form
u
{\displaystyle u}
on the product
X
×
Y
{\displaystyle X\times Y}
of locally convex spaces is integral if and only if there is a compact topological space
Ω
{\displaystyle \Omega }
equipped with a (necessarily bounded) positive Radon measure
μ
{\displaystyle \mu }
and continuous linear maps
α
{\displaystyle \alpha }
and
β
{\displaystyle \beta }
from
X
{\displaystyle X}
and
Y
{\displaystyle Y}
to the Banach space
L
∞
(
Ω
,
μ
)
{\displaystyle L^{\infty }(\Omega ,\mu )}
such that
-
u
(
x
,
y
)
=
⟨
α
(
x
)
,
β
(
y
)
⟩
=
∫
Ω
α
(
x
)
β
(
y
)
d
μ
{\displaystyle u(x,y)=\langle \alpha (x),\beta (y)\rangle =\int _{\Omega }\alpha (x)\beta (y)\;d\mu }
,
i.e., the form
u
{\displaystyle u}
can be realised by integrating (essentially bounded) functions on a compact space.
Integral linear maps
A continuous linear map
κ
:
X
→
Y
′
{\displaystyle \kappa :X\to Y'}
is called integral if its associated bilinear form is an integral bilinear form, where this form is defined by
(
x
,
y
)
∈
X
×
Y
↦
(
κ
x
)
(
y
)
{\displaystyle (x,y)\in X\times Y\mapsto (\kappa x)(y)}
.[4] It follows that an integral map
κ
:
X
→
Y
′
{\displaystyle \kappa :X\to Y'}
is of the form:[4]
-
x
∈
X
↦
κ
(
x
)
=
∫
S
×
T
⟨
x
′
,
x
⟩
y
′
d
μ
(
x
′
,
y
′
)
{\displaystyle x\in X\mapsto \kappa (x)=\int _{S\times T}\left\langle x',x\right\rangle y'\mathrm {d} \mu \!\left(x',y'\right)}
for suitable weakly closed and equicontinuous subsets S and T of
X
′
{\displaystyle X'}
and
Y
′
{\displaystyle Y'}
, respectively, and some positive Radon measure
μ
{\displaystyle \mu }
of total mass ≤ 1.
The above integral is the weak integral, so the equality holds if and only if for every
y
∈
Y
{\displaystyle y\in Y}
,
⟨
κ
(
x
)
,
y
⟩
=
∫
S
×
T
⟨
x
′
,
x
⟩
⟨
y
′
,
y
⟩
d
μ
(
x
′
,
y
′
)
{\textstyle \left\langle \kappa (x),y\right\rangle =\int _{S\times T}\left\langle x',x\right\rangle \left\langle y',y\right\rangle \mathrm {d} \mu \!\left(x',y'\right)}
.
Given a linear map
Λ
:
X
→
Y
{\displaystyle \Lambda :X\to Y}
, one can define a canonical bilinear form
B
Λ
∈
B
i
(
X
,
Y
′
)
{\displaystyle B_{\Lambda }\in Bi\left(X,Y'\right)}
, called the associated bilinear form on
X
×
Y
′
{\displaystyle X\times Y'}
, by
B
Λ
(
x
,
y
′
)
:=
(
y
′
∘
Λ
)
(
x
)
{\displaystyle B_{\Lambda }\left(x,y'\right):=\left(y'\circ \Lambda \right)\left(x\right)}
.
A continuous map
Λ
:
X
→
Y
{\displaystyle \Lambda :X\to Y}
is called integral if its associated bilinear form is an integral bilinear form.[5] An integral map
Λ
:
X
→
Y
{\displaystyle \Lambda :X\to Y}
is of the form, for every
x
∈
X
{\displaystyle x\in X}
and
y
′
∈
Y
′
{\displaystyle y'\in Y'}
:
-
⟨
y
′
,
Λ
(
x
)
⟩
=
∫
A
′
×
B
″
⟨
x
′
,
x
⟩
⟨
y
″
,
y
′
⟩
d
μ
(
x
′
,
y
″
)
{\displaystyle \left\langle y',\Lambda (x)\right\rangle =\int _{A'\times B''}\left\langle x',x\right\rangle \left\langle y'',y'\right\rangle \mathrm {d} \mu \!\left(x',y''\right)}
for suitable weakly closed and equicontinuous aubsets
A
′
{\displaystyle A'}
and
B
″
{\displaystyle B''}
of
X
′
{\displaystyle X'}
and
Y
″
{\displaystyle Y''}
, respectively, and some positive Radon measure
μ
{\displaystyle \mu }
of total mass
≤
1
{\displaystyle \leq 1}
.
Relation to Hilbert spaces
The following result shows that integral maps "factor through" Hilbert spaces.
Proposition:[6] Suppose that
u
:
X
→
Y
{\displaystyle u:X\to Y}
is an integral map between locally convex TVS with Y Hausdorff and complete. There exists a Hilbert space H and two continuous linear mappings
α
:
X
→
H
{\displaystyle \alpha :X\to H}
and
β
:
H
→
Y
{\displaystyle \beta :H\to Y}
such that
u
=
β
∘
α
{\displaystyle u=\beta \circ \alpha }
.
Furthermore, every integral operator between two Hilbert spaces is nuclear.[6] Thus a continuous linear operator between two Hilbert spaces is nuclear if and only if it is integral.
Sufficient conditions
Every nuclear map is integral.[5] An important partial converse is that every integral operator between two Hilbert spaces is nuclear.[6]
Suppose that A, B, C, and D are Hausdorff locally convex TVSs and that
α
:
A
→
B
{\displaystyle \alpha :A\to B}
,
β
:
B
→
C
{\displaystyle \beta :B\to C}
, and
γ
:
C
→
D
{\displaystyle \gamma :C\to D}
are all continuous linear operators. If
β
:
B
→
C
{\displaystyle \beta :B\to C}
is an integral operator then so is the composition
γ
∘
β
∘
α
:
A
→
D
{\displaystyle \gamma \circ \beta \circ \alpha :A\to D}
.[6]
If
u
:
X
→
Y
{\displaystyle u:X\to Y}
is a continuous linear operator between two normed space then
u
:
X
→
Y
{\displaystyle u:X\to Y}
is integral if and only if
t
u
:
Y
′
→
X
′
{\displaystyle {}^{t}u:Y'\to X'}
is integral.[7]
Suppose that
u
:
X
→
Y
{\displaystyle u:X\to Y}
is a continuous linear map between locally convex TVSs.
If
u
:
X
→
Y
{\displaystyle u:X\to Y}
is integral then so is its transpose
t
u
:
Y
b
′
→
X
b
′
{\displaystyle {}^{t}u:Y_{b}^{\prime }\to X_{b}^{\prime }}
.[5] Now suppose that the transpose
t
u
:
Y
b
′
→
X
b
′
{\displaystyle {}^{t}u:Y_{b}^{\prime }\to X_{b}^{\prime }}
of the continuous linear map
u
:
X
→
Y
{\displaystyle u:X\to Y}
is integral. Then
u
:
X
→
Y
{\displaystyle u:X\to Y}
is integral if the canonical injections
In
X
:
X
→
X
″
{\displaystyle \operatorname {In} _{X}:X\to X''}
(defined by
x
↦
{\displaystyle x\mapsto }
value at x) and
In
Y
:
Y
→
Y
″
{\displaystyle \operatorname {In} _{Y}:Y\to Y''}
are TVS-embeddings (which happens if, for instance,
X
{\displaystyle X}
and
Y
b
′
{\displaystyle Y_{b}^{\prime }}
are barreled or metrizable).[5]
Properties
Suppose that A, B, C, and D are Hausdorff locally convex TVSs with B and D complete. If
α
:
A
→
B
{\displaystyle \alpha :A\to B}
,
β
:
B
→
C
{\displaystyle \beta :B\to C}
, and
γ
:
C
→
D
{\displaystyle \gamma :C\to D}
are all integral linear maps then their composition
γ
∘
β
∘
α
:
A
→
D
{\displaystyle \gamma \circ \beta \circ \alpha :A\to D}
is nuclear.[6]
Thus, in particular, if X is an infinite-dimensional Fréchet space then a continuous linear surjection
u
:
X
→
X
{\displaystyle u:X\to X}
cannot be an integral operator.
See also
References
- Schaefer & Wolff 1999, p. 168.
- Trèves 2006, pp. 500–502.
- Grothendieck 1955, pp. 124–126.
- Schaefer & Wolff 1999, p. 169.
- Trèves 2006, pp. 502–505.
- Trèves 2006, pp. 506–508.
- Trèves 2006, pp. 505.
Bibliography
- Diestel, Joe (2008). The Metric Theory of Tensor Products: Grothendieck's Résumé Revisited. Vol. 16. Providence, R.I.: American Mathematical Society. ISBN 9781470424831. OCLC 185095773.
- Dubinsky, Ed (1979). The Structure of Nuclear Fréchet Spaces. Lecture Notes in Mathematics. Vol. 720. Berlin New York: Springer-Verlag. ISBN 978-3-540-09504-0. OCLC 5126156.
- Grothendieck, Alexander (1955). "Produits Tensoriels Topologiques et Espaces Nucléaires" [Topological Tensor Products and Nuclear Spaces]. Memoirs of the American Mathematical Society Series (in French). 16. Providence: American Mathematical Society. MR 0075539. OCLC 9308061.
- Husain, Taqdir; Khaleelulla, S. M. (1978). Barrelledness in Topological and Ordered Vector Spaces. Lecture Notes in Mathematics. Vol. 692. Berlin, New York, Heidelberg: Springer-Verlag. ISBN 978-3-540-09096-0. OCLC 4493665.
- Khaleelulla, S. M. (1982). Counterexamples in Topological Vector Spaces. Lecture Notes in Mathematics. Vol. 936. Berlin, Heidelberg, New York: Springer-Verlag. ISBN 978-3-540-11565-6. OCLC 8588370.
- Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
- Hogbe-Nlend, Henri (1977). Bornologies and Functional Analysis: Introductory Course on the Theory of Duality Topology-Bornology and its use in Functional Analysis. North-Holland Mathematics Studies. Vol. 26. Amsterdam New York New York: North Holland. ISBN 978-0-08-087137-0. MR 0500064. OCLC 316549583.
- Hogbe-Nlend, Henri; Moscatelli, V. B. (1981). Nuclear and Conuclear Spaces: Introductory Course on Nuclear and Conuclear Spaces in the Light of the Duality "topology-bornology". North-Holland Mathematics Studies. Vol. 52. Amsterdam New York New York: North Holland. ISBN 978-0-08-087163-9. OCLC 316564345.
- Pietsch, Albrecht (1979). Nuclear Locally Convex Spaces. Ergebnisse der Mathematik und ihrer Grenzgebiete. Vol. 66 (Second ed.). Berlin, New York: Springer-Verlag. ISBN 978-0-387-05644-9. OCLC 539541.
- Robertson, Alex P.; Robertson, Wendy J. (1980). Topological Vector Spaces. Cambridge Tracts in Mathematics. Vol. 53. Cambridge England: Cambridge University Press. ISBN 978-0-521-29882-7. OCLC 589250.
- Rudin, Walter (1991). Functional Analysis. International Series in Pure and Applied Mathematics. Vol. 8 (Second ed.). New York, NY: McGraw-Hill Science/Engineering/Math. ISBN 978-0-07-054236-5. OCLC 21163277.
- Ryan, Raymond A. (2002). Introduction to Tensor Products of Banach Spaces. Springer Monographs in Mathematics. London New York: Springer. ISBN 978-1-85233-437-6. OCLC 48092184.
- Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. Vol. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.
- Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322.
- Wong, Yau-Chuen (1979). Schwartz Spaces, Nuclear Spaces, and Tensor Products. Lecture Notes in Mathematics. Vol. 726. Berlin New York: Springer-Verlag. ISBN 978-3-540-09513-2. OCLC 5126158.