Schwartz functions, Hermite functions, and the Hermite operator
1 Schwartz functions
For and , let
We define to be the set of those such that for all . is a complex vector space and each is a norm, and because each is a norm, a fortiori is a separating family of seminorms. With the topology induced by this family of seminorms, is a Fréchet space.11 1 Walter Rudin, Functional Analysis, second ed., p. 184, Theorem 7.4. Furthermore, defined by
and defined by
are continuous linear maps.
Let be the collection of continuous linear maps . For , define by
The initial topology for the collection is called the weak-* topology on . With this topology, is a locally convex space whose dual space is .
2 L2 norms
For and , let
and let
Because when , it is immediate that when .
We relate the norms and the norms .22 2 Takeyuki Hida, Brownian Motion, p. 305, Lemma A.1.
Lemma 1.
For each , for all ,
Proof.
For ,
hence
For and , using the fundamental theorem of calculus and the Cauchy-Schwarz inequality,
which shows that
∎
3 Hermite functions
Let be Lebesgue measure on , and let
with the inner product is a separable Hilbert space. For , let
the Hermite functions, the set of which is an orthonormal basis for . We remark that the Hermite functions belong to . For we define
to write some expressions in a uniform way.
We calculate that for ,
We define the Hermite operator by
is a densely defined operator in that is symmetric and positive, and satisfies
There is a unique bounded linear operator satisfying
The operator norm of is , and is self-adjoint. For , is a Hilbert-Schmidt operator with Hilbert-Schmidt norm .
We define the creation operator by
and we define the annihilation operator by
which are continuous linear maps. They satisfy, for ,
(We remind ourselves that we have defined .) It is immediate that and that . Using the creation operator, we can write the Hermite functions as
For , using integration by parts,
and
Thus,
and
We shall use these calculations to obtain the following lemma.
Lemma 2.
For and for ,
and
Proof.
Because ,
With
and because , we have
Because , and reminding ourselves that we define for ,
Because , we have
∎
We define the Fourier transform by
is a continuous linear map, and satisfies
From these we obtain
and one proves the following using the above.
Lemma 3.
For ,
We further remark that for ,
(1) |
Finally, there is a unique Hilbert space isomorphism whose restriction to is equal to as already defined. Thus for , as
we get
4 Hermite operator
For and , we define
We define
and for we define
for which
Lemma 4.
For , for each , , and
Proof.
, so . Because is a symmetric operator and as ,
∎
For , because is self-adjoint,
and so , which shows that
If is a Cauchy sequence in the norm , then as , is a Cauchy sequence in the norm and so there is some for which . We have , and
thus in the norm , showing that is a Hilbert space. Furthermore, is an isomorphism of Hilbert spaces, and thus is an orthonormal basis for .
For ,
so . For , let be the inclusion map.33 3 Hui-Hsiung Kuo, White Noise Distribution Theory, p. 18, Lemma 3.3.
Theorem 5.
For , the inclusion map is a Hilbert-Schmidt operator, with Hilbert-Schmidt norm
Proof.
is an orthonormal basis for , and
∎
5 The Hilbert spaces Sp
For ,
and for we define by
which belongs to .
For , we define to be the set of those functions that are -times differentiable and such that for each , is continuous and bounded. With the norm
this is a Banach space. Because the Hermite functions belong to , for and for any and , the function belongs to .
Lemma 6.
If and , then there is some such that is equal almost everywhere to .
Proof.
Cramér’s inequality states that there is a constant such that for all , . For , using this and the Cauchy-Schwarz inequality,
Because , is a Cauchy sequence in , hence is a Cauchy sequence in , so there is some such that converges to in . We assert that as elements of .
Using
we calculate
hence for ,
and for ,
whence is a Cauchy sequence in , and so is a Cauchy sequence in . ∎
We prove that for the derivatives of the partial sums are a Cauchy sequence in .44 4 Jeremy J. Becnel and Ambar N. Sengupta, The Schwartz space: a background to white noise analysis, https://www.math.lsu.edu/~preprint/2004/as20041.pdf, Lemma 7.1.
Lemma 7.
For and , is a Cauchy sequence in .
Proof.
Because ,
Then
For , as ,
and as ,
Thus
Because and , the series converges, from which the claim follows. ∎
Now we establish that if and then there is some such that is equal almost everywhere to , is differentiable almost everywhere, and .55 5 Jeremy J. Becnel and Ambar N. Sengupta, The Schwartz space: a background to white noise analysis, https://www.math.lsu.edu/~preprint/2004/as20041.pdf, Theorem 7.3.
Theorem 8.
For and , there is some such that is equal almost everywhere to , is differentiable almost everywhere, converges to in the norm , and .
Proof.
Lemma 7 tells us that is a Cauchy sequence in the norm , and hence there is some to which converges in the norm . For , by the fundamental theorem of calculus,
By the Cauchy-Schwarz inequality,
Because as ,
Then by Lemma 6, taking , for any we have
By the Lebesgue differentiation theorem, for almost all ,
Therefore for almost all ,
Thus in , and as in ,
for which
which is finite because . Therefore . ∎