Parts formulas involving the Fourier-Feynman transform associated with Gaussian process on Wiener space
Seung Jun Chand, Jae Gil Choi

TL;DR
This paper develops integration by parts formulas involving Fourier-Feynman transforms and Gaussian processes on Wiener space, extending the mathematical tools for analyzing functionals of non-stationary Gaussian processes.
Contribution
It establishes new formulas on Wiener space using a general Cameron--Storvick theorem, applicable to non-stationary Gaussian processes and functionals with specific integral forms.
Findings
Derived integration by parts formulas for generalized analytic Feynman integrals.
Extended Fourier-Feynman transform techniques to non-stationary Gaussian processes.
Provided a framework for analyzing functionals involving Paley--Wiener--Zygmund integrals.
Abstract
In this paper, using a very general Cameron--Storvick theorem on the Wiener space , we establish various integration by parts formulas involving generalized analytic Feynman integrals, generalized analytic Fourier--Feynman transforms, and the first variation (associated with Gaussian processes) of functionals on having the form for scale almost every , where denotes the Paley--Wiener--Zygmund stochastic integral , and is an orthogonal set of nonzero functions in . The Gaussian processes used in this paper are not stationary.
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Taxonomy
TopicsAlgebraic and Geometric Analysis · Probabilistic and Robust Engineering Design · Scientific Research and Discoveries
Parts formulas involving the Fourier–Feynman transform
associated with Gaussian process
on Wiener space
Seung Jun Chang
Jae Gil Choi
Department of Mathematics, Dankook University, Cheonan 330-714, Korea
Abstract
In this paper, using a very general Cameron–Storvick theorem on the Wiener space , we establish various integration by parts formulas involving generalized analytic Feynman integrals, generalized analytic Fourier–Feynman transforms, and the first variation (associated with Gaussian processes) of functionals on having the form for scale almost every , where denotes the Paley–Wiener–Zygmund stochastic integral , and is an orthogonal set of nonzero functions in . The Gaussian processes used in this paper are not stationary.
keywords:
Cameron–Storvick theorem , Gaussian process , generalized analytic Feynman integral , generalized analytic Fourier–Feynman transform , first variation.
MSC:
[2010] 28C20 , 46G12 , 42B10 , 60G15
1 Introduction
The theory of the Fourier–Wiener transform suggested by Cameron and Martin [2, 5, 7] about 75 years ago now is playing more and more significant role in infinite dimensional analysis, Feynman integration theory, and applications in mathematical physics. The Fourier–Wiener transform and several analogies which are more exquisite have been improved in various research fields on infinite dimensional Banach spaces. For instance, the analytic Fourier–Feynman transform [1, 8, 14, 26, 27, 29, 30, 35, 37, 38, 46, 47], the sequential Fourier–Feynman transform [9, 10, 13], and the integral transform [15, 21, 36, 39, 40] are developed by many authors. Most of the topics are concentrated on classical and abstract Wiener spaces.
Let denote the one-parameter Wiener space, that is, the space of all real-valued continuous functions on with . Let denote the class of all Wiener measurable subsets of and let denote the Wiener measure. Then, as it is well-known, is a complete measure space.
In the theory of infinite dimensional analysis, the integration by parts formula is also one of the fundamental tools to analyze the integration of functionals on the infinite dimensional spaces. In [3], Cameron derived an integration by parts formula for the Wiener measure . This is the first infinite dimensional integration by parts formula. In [24], Donsker also established this formula using a different method, and applied it to study Fréchet–Volterra differential equations. The integration by parts formula on introduced in [3] was improved in [11, 45, 46] to study the parts formulas involving the analytic Feynman integral and the analytic Fourier–Feynman transform (henceforth FFT). Since then the parts formula for the analytic Feynman integral is called the Cameron–Storvick theorem by many mathematicians.
The concept of the generalized Wiener integral (namely, the Wiener integral associated with Gaussian paths) and the generalized analytic Feynman integral (namely, the analytic Feynman integral associated with Gaussian paths) on were introduced by Chung, Park and Skoug [23], and further developed in [43, 44]. In [23, 43, 44], the generalized Wiener integral was defined by the Wiener integral
[TABLE]
where is a Gaussian path given by the stochastic integral
[TABLE]
For a precise definition of this stochastic integral, see Section 2 below. Also the concept of the generalized analytic Feynman integral and the generalized analytic FFT (henceforth GFFT) were more developed based on the generalized Wiener integral (1.1), see [12, 16, 17, 18, 19, 20, 22, 28]. If we choose in (1.2), as a constant function, the generalized Wiener integral (1.1) reduces an ordinary Wiener integral, i.e.,
[TABLE]
The purpose of this paper is to establish various integration by parts formulas involving the generalized analytic Feynman integral and the GFFT of functionals in non-stationary Gaussian paths given by (1.2). In Section 3 below we illustrate the importance of this topic and the motivation of this paper.
The Wiener process used in [1, 2, 3, 5, 7, 8, 9, 10, 11, 13, 14, 15, 21, 26, 27, 29, 30, 35, 36, 37, 38, 39, 40, 45, 46, 47] is a stationary process. However, the stochastic process on used in this paper, as well as in [12, 16, 17, 18, 19, 20, 22, 23, 28, 43, 44], is non-stationary in time. Thus the results in this paper are quite a lot more complicated because the Gaussian processes used in this paper are non-stationary processes. However, by choosing on in (1.2), the process reduces to an ordinary Wiener process on , and so the expected results on are immediate corollaries of the results in this paper.
2 Preliminaries
In this section we first present a brief background and some well-known results about the Wiener space .
A subset of is said to be scale-invariant measurable [31] provided for all , and a scale-invariant measurable set is said to be scale-invariant null provided for all . A property that holds except on a scale-invariant null set is said to hold scale-invariant almost everywhere (s-a.e.). A functional is said to be scale-invariant measurable provided is defined on a scale-invariant measurable set and is Wiener-measurable for every . If two functionals and are equal s-a.e., we write .
The Paley–Wiener–Zygmund (henceforth PWZ) stochastic integral [41] plays a key role throughout this paper. Let be a complete orthonormal set in , each of whose elements is of bounded variation on . Then for each , the PWZ stochastic integral is defined by the formula
[TABLE]
for all for which the limit exists, where denotes the -inner product. For each , the limit defining the PWZ stochastic integral is essentially independent of the choice of the complete orthonormal set and it exists for s-a.e. . If is of bounded variation on then equals the Riemann–Stieltjes integral for s-a.e. , and for each in , is a Gaussian random variable on with mean zero and variance . If is an orthogonal set of functions in , then the random variables, ’s, are independent. For a more detailed study of the PWZ stochastic integral, see [33, 42].
Throughout this paper we let
[TABLE]
and
[TABLE]
where denotes Lebesgue measure on . We note that , and for any , .
Given any function in , let be the stochastic process given by
[TABLE]
where denotes the indicator function of the set . Next, let . The stochastic process on is a Gaussian process with mean zero and covariance function
[TABLE]
In addition, by [49, Theorem 21.1], is stochastically continuous in on . Also, for any ,
[TABLE]
Of course, as discussed in Section 1 above, if on , then the process on given by is a Wiener process (standard Brownian motion). We note that the coordinate process is stationary in time, whereas the stochastic process generally is not. For more detailed studies on the stochastic process , see [12, 16, 17, 18, 19, 20, 22, 23, 28, 43, 44].
If , then for all , is continuous in . From the definition of the PWZ stochastic integral, it follows that for each and each ,
[TABLE]
for s-a.e. . Thus, throughout this paper, we require to be in rather than simply in .
Let , and denote the set of complex numbers, complex numbers with positive real part and nonzero complex numbers with nonnegative real part, respectively. For each , denotes the principal square root of ; i.e., is always chosen to have positive real part, so that is in for all .
Definition 2.1
Let be a function in and let be a -valued scale-invariant measurable functional on such that
[TABLE]
exists as a finite number for all . If there exists a function analytic on such that for all , then is defined to be the generalized analytic Wiener integral (associated with the Gaussian paths ) of over with parameter , and for we write
[TABLE]
Let be a real number and let be a functional such that the generalized analytic Wiener integral, , exists for all . If the following limit exists, we call it the generalized analytic Feynman integral (associated with the Gaussian paths ) of with parameter and we write
[TABLE]
Next (see [16, 18, 19, 20, 22, 28]) we state the definition of the analytic -GFFT (namely, the analytic GFFT associated with the Gaussian paths ).
Definition 2.2
Let be a nonzero function in . For and , let
[TABLE]
For we define the analytic -GFFT, of , by the formula,
[TABLE]
if it exists; i.e., for each ,
[TABLE]
where . We define the analytic -GFFT, of by the formula
[TABLE]
for s-a.e. whenever this limit exists.
We note that for , is defined only s-a.e.. We also note that if exists and if , then exists and . One can see that for each , , since
[TABLE]
Remark 2.3
Note that if on , then for all . In this case the generalized analytic Feynman integral given by equation (2.3) above and the analytic -GFFT, , agree with the previous definitions of the analytic Feynman integral and the analytic FFT, , see [1, 8, 11, 14, 26, 27, 29, 30, 32, 33, 34, 37, 38, 46, 47].
Next we give the definition of the first variation of a functional . The following definition is due to by Chang, Cho, Kim, Song and Yoo [12].
Definition 2.4
Let and be nonzero functions in , let be a Wiener measurable functional on , and let . Then
[TABLE]
(if it exists) is called the first variation of in the direction .
Remark 2.5
Setting on , our definition of the first variation reduces to the first variation studied in [3, 11, 14, 34, 36, 38, 46, 47]. That is,
[TABLE]
Throughout this paper we shall always choose to be an element of where
[TABLE]
3 Remark on the topic of this paper
3.1 A short survey of Cameron–Storvick theorem
In [3], Cameron introduced the first variation (a kind of Gâteaux derivative) of functionals on and obtained a formula involving the Wiener integral of the first variation. In [11], Cameron and Storvick established a similar result for the analytic Feynman integral of functionals on . They also applied their celebrated result to establish the existence of the analytic Feynman integral of unbounded functionals on . We start this section by stating the original Cameron–Storvick theorem and the parts formula for the analytic Feynman integral of functionals on . To do this, in this section we consider the ordinary ‘analytic Feynman integral’ (namely, the Feynman integral associated with the Gaussian paths ), , and the Cameron–Storvick’s first variation, , for functionals on .
Theorem 3.1
Let and let . For each , let be Wiener integrable on and let have a first variation for all such that for some positive function ,
[TABLE]
is Wiener integrable. Then if either member of the following equation exists, both analytic Feynman integrals below exist, and for each ,
[TABLE]
Remark 3.2
In [11], Cameron and Storvick require to be “essentially of bounded variation”, but as was pointed by Cameron [3, p.915] this requirement can be replaced by the requirement that be “of class ” since all of our Stieltjes integrals are interpreted as Paley–Wiener–Zygmund integrals.
The following integration by parts formula and further applications are investigated in many previous researches. For instance, see [34, 45, 46].
Theorem 3.3
Let be a function in , and let and be scale-invariant measurable functionals on . Assume that the first variations in the following equations all exist. Then it follows that
[TABLE]
where by we mean that if either side exists, both side exist and equality holds.
Using a heuristic use of the Cameron–Storvick theorem (namely equation (3.1)), equation (3.2) is a simple consequence, because
[TABLE]
for almost all functionals and on . Thus, to establish the equality in (3.2), the authors of the papers [34, 45, 46] guaranteed the existences of the Feynman integrals and the first variations in the corresponding formulas to the equation (3.2). But the singularities of the Wiener measure [4, 6, 31], and the unusual behaviors of the analytic Feynman integral and the analytic FFT [8, 30, 32] of functionals on make establishing various integration by parts formulas involving the Feynman integral and the FFT very difficult. These are due to the fact that the Wiener measure is not a quasi-invariant probability measure. It is well known that there is no quasi-invariant measure on infinite dimensional linear spaces (see [48]). Thus the translation theorem (Cameron–Martin theorem) and the Girsanov theorem on infinite dimensional Banach spaces have been studied in the literature. An essential structure hidden in the proof of the Cameron–Storvick theorem is based on the Cameron–Martin translation theorem on Wiener space .
3.2 Why do we use the Gaussian processes defining the GFFT ?
We consider the class of the (ordinary) analytic FFTs, , where the FFT with parameter denotes the identity transform, i.e., for functionals on . Then the class of the analytic FFTs forms a commutative group acting on various large classes of functionals on . We refer to the article [29] for a more detailed study of this topic. In fact, in [29], Huffman, Park and Skoug presented the results with the class of the analytic FFTs, , to furnish simple illustrations of the algebraic structure of the classes of FFTs. But, as commended in [29], most of the results hold for the class of the FFTs with .
On the other hand, in [16, 22], Chang, Choi and Skoug discovered new algebraic structures of the classes of the GFFT associated Gaussian processes. Furthermore, in [19, 20], the authors investigated various relationships between the GFFT and the corresponding convolution products. There are many improvements and applications of subjects involving the concepts of the GFFT. As a natural consequence work, it would be interesting to determine if the relationship between the ordinary FFT and the first variation could be extended to the case of the relationship between the GFFT and the general first variation defined by (2.4). Thus, in this paper we also study other properties of the GFFT together with the generalized first variation.
As discussed above, the essential structure of parts formulas on Wiener space is based on the Cameron–Storvick theorem. Thus, to establish our parts formulas involving the generalized Feynman integral and the GFFT, we will present a more general Cameron–Storvick theorem using the above notation.
Theorem 3.4** ([17])**
Let and be functions in and given , let be defined by
[TABLE]
Let be a functional on such that is Wiener integrable over . Furthermore assume that for each ,
[TABLE]
Then, if either member of the following equation exists, both generalized analytic Feynman integrals below exist, and for each ,
[TABLE]
Remark 3.5
In [17], Chang and Choi require to be “of bounded variation”, but this requirement also can be replaced by the requirement that be “of class ” since all of our Stieltjes integrals are interpreted as Paley–Wiener–Zygmund integral. Also, the condition (3.4) above can be replaced with the condition: for some ,
[TABLE]
is Wiener integrable as a function of . Thus, setting and yields the formula (3.1).
4 Cylinder functionals
Functionals that involve PWZ stochastic integrals are quite common. A functional on is called a cylinder functional if there exists a linearly independent set of nonzero functions in such that
[TABLE]
where is a complex-valued Lebesgue measurable function on .
It is easy to show that for the functional of the form (4.1), there exists an orthogonal set of nonzero functions in such that is expressed as
[TABLE]
where is a complex-valued Lebesgue measurable function on . Thus, there is no loss of generality in assuming that every cylinder functional on is of the form (4.2).
For , let be the Gaussian process given by (2.1) above and let be given by equation (4.2). Then by equation (2.2),
[TABLE]
Remark 4.1
Even though the set of nonzero functions in is orthogonal, the subset of need not be orthogonal. Given an orthogonal set of nonzero functions in , let be the class of all functions such that is orthogonal in . Since , infinitely many functions exist in .
Example 4.2
For any , , as a constant function on .
Example 4.3
For any orthogonal set of nonzero functions in , let be the subspace of which is spanned by
[TABLE]
and let be the orthogonal complement of . Let
[TABLE]
Since is finite, and is dense in ( contains all polynomials on ), and so has infinitely many elements.
Let be an element of . It is easy to show that for all . From the definition of the , we see that for with ,
[TABLE]
From these, we see that is an orthogonal set of functions in for any in , i.e., .
The following lemma is very useful in order to establish our parts formulas in this paper.
Lemma 4.4** (Wiener Integration Theorem)**
Let be an orthogonal set of nonzero functions in . Let be a Lebesgue measurable function. Then for any ,
[TABLE]
where by we mean that if either side exists, both sides exist and equality holds.
Let be a positive integer (fixed throughout this paper) and let be an orthogonal set of nonzero functions from . Let be a nonnegative integer. Then for , let be the space of all functionals of the form (4.2) for s-a.e. where all of the th-order partial derivatives
[TABLE]
of are continuous and in for and each . Also, let be the space of all functionals of the form (4.2) for s-a.e. where for , all of the th-order partial derivatives of are in , the space of bounded continuous functions on that vanish at infinity.
5 Integration by parts formulas for the generalized analytic Feynman integral
In this section we establish integration by parts formulas for the generalized analytic Feynman integral. We start this section with the existence of the generalized analytic Feynman integral associated with Gaussian paths of functionals in .
Theorem 5.1
Let be an orthogonal set of nonzero functions in , let be given, let be a non-negative integer, and let be given by equation (4.2). Then for any and all , the generalized analytic Feynman integral associated with the Gaussian paths of with parameter exists and is given by the formula
[TABLE]
Proof 1
Using (4.2), (2.2), and (4.3) with replaced with , it follows that for all ,
[TABLE]
For , let
[TABLE]
and for , let
[TABLE]
Then we see that
- (i)
for all , ,
- (ii)
for each , , as a function of , is an element of for all , and
- (iii)
* for all .*
Thus using Hölder’s inequality, we can see that , as a function of , is an element of whenever for every . Hence, using the dominated convergence theorem, it follows that is a continuous function of on . Clearly, is analytic on as a function of . Hence, by the Fubini theorem and the Cauchy theorem, we obtain that
[TABLE]
for any rectifiable simple closed curve lying in . Thus by the Morera theorem, given by (5.2) is an analytic function of throughout . Finally, by the dominated convergence, it follows equation (5.1). \qed
The following observations are very useful to complete the proof of our main theorems (i.e., Theorems 5.5, 6.5, and 6.6 below).
- (1)
If we choose and define
[TABLE]
for , then is an element of , see equation (2.5), -a.e. on , where , and for all ,
[TABLE]
where of course .
- (2)
Let and be functions in . Given , let be given by (3.3) above. In this case, using (2.2) and (5.4), we then also see that
[TABLE]
- (3)
Given an orthogonal set of nonzero functions in , , and a nonnegative integer , let . Then, using (4.2) and (2.2), we see that for any function , belongs to the space .
Our next lemma follows directly from the definitions of and .
Lemma 5.2
Let be an orthogonal set of nonzero functions in , let be given, let be a positive integer, let be given by equation (4.2), and let be given by (5.3). Then for any functions and ,
[TABLE]
for s-a.e. . Furthermore, .
Lemma 5.3
Let , , , , and be as in Lemma 5.2. For with , let be given by
[TABLE]
Define for . Then , and for any functions and , , as a function of .
Proof 2
Note that where
[TABLE]
We see that is an element of since all the -th order partial derivatives of are continuous and in for by Hölder’s inequality. The fact that , as a function of , is an element of now follows from Lemma 5.2. \qed
Remark 5.4
Given and , let be given by (3.3). Then equation (5.5) with replaced with can be rewritten as
[TABLE]
for s-a.e. .
In our next theorem we obtain an integration by parts formula for the generalized analytic Feynman integral.
Theorem 5.5
Let , , , , and be as in Lemma 5.3. Given and , let be given by (3.3). Then for any function in , and all , it follows that
[TABLE]
Proof 3
Again define for and let . Then as noted in Lemma 5.3 and its proof, , , and all the -th order partial derivatives of are continuous and in for . Hence is Wiener integrable on for each . In addition, applying (5.7), it follows that for s-a.e. ,
[TABLE]
Now since and are all continuous and in for , it is quite easy to see that , as a function of , is Wiener integrable for all . In addition, is analytic Feynman integrable which can be seen by integrating the right-hand side of (5.9) term by term. For example, applying (4.3), it follows that for any ,
[TABLE]
since is continuous and in . Thus (5.8) follows from Theorem 3.4 above. \qed
By choosing and in Theorem 5.5, we obtain the following corollary.
Corollary 5.6
Let , , , , and be as in Theorem 5.5. Let be given by (4.2). Then for any function in , and all , it follows that
[TABLE]
6 Integration by parts formulas involving generalized analytic Fourier–Feynman transforms
In this section we establish integration by parts formulas involving the -GFFTs. We start this section with the existence theorem of the analytic -GFFT of functionals in .
Theorem 6.1
Let be an orthogonal set of nonzero functions in , let be given, let be a non-negative integer, and let be given by equation (4.2). Then for any , and all , the analytic -GFFT of exists and is given by the formula
[TABLE]
for s-a.e. . Furthermore, where .
Proof 4
First, in the case , the proof given in [18, Theorems 4.7 and 4.8] with the current hypotheses on and also works here. Now let an orthogonal set of nonzero functions in , , be given and let . Since , we know that exists and is given by equation (6.1). The proof that belongs to for is similar to the proof in [18] for the case . \qed
In view of Theorems 5.5 and 6.1, we get the following corollary.
Corollary 6.2
Let be an orthogonal set of nonzero functions in , let be a positive integer, and given and , let be given by (3.3). Let and in be given by (4.2) and (5.6), respectively. Then any functions , , and any , it follows that
[TABLE]
In our next theorem we show that the transform with respect to the first argument of the variation equals the variation of the transform.
Theorem 6.3
Let be an orthogonal set of nonzero functions in , let be given, let be a positive integer, and let be given by equation (4.2). Also, let be given by (5.3) above. Then for any functions , with (or ), all , and s-a.e. , it follows that
[TABLE]
which, as a function of , is an element of . Also, both expressions in (6.2) are given by the expression
[TABLE]
Proof 5
First, using (2.4) with , and replaced with , and , and (6.1) with and replaced with and , respectively, (2.2), and (5.4), we obtain that
[TABLE]
The second equality of (6.4) follows from the fact that is in , and Theorem 2.27 in [25].
Next, using (5.5), it follows that
[TABLE]
Then, evaluating the above analytic Feynman integral together with use of (4.3) with replaced with , we obtain equation (6.2) for s-a.e. . Finally, is an element of , since is an element of . \qed
Remark 6.4
A close examination of the proof of Theorem 6.3 shows that is an element of and is given by the expression (6.3) with replaced with for s-a.e. .
In our next theorems we obtain parts formulas involving GFFTs.
Theorem 6.5
Let , , , , , , and be as in Corollary 6.2. Then for any functions with (or ), and all , it follows that
[TABLE]
Proof 6
For , let . Then by Theorem 6.1, and are in . Therefore, by Lemma 5.3, is in . Moreover, by Lemma 5.2, , as a function of , is an element of . Thus equation (6.5) follows from Theorem 5.5 with and replaced with and , respectively. \qed
Theorem 6.6
Let , , , , and be as in Theorem 6.3. Also, let be given by (5.6). Then for any functions with (or ), and all , it follows that
[TABLE]
Proof 7
For , let . Again, since is in and is in , it follows that belongs to , and as a function of , belongs to . Thus equation (6.6) follows from Theorem 5.5 with replaced with . \qed
Choosing in Theorem 6.5 above, we obtain the following corollary.
Corollary 6.7
Let , , , , , and be as in Corollary 6.2. Then for any functions with (or ), and all , it follows that
[TABLE]
Choosing in Theorem 6.6 above, we also obtain the following corollary.
Corollary 6.8
Let , , , , and be as in Theorem 6.3. Then for any functions with (or ), and all , it follows that
[TABLE]
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