Note on A. Barbour's paper on Stein's method for diffusion approximations
Mikolaj J. Kasprzak, Andrew B. Duncan, Sebastian J. Vollmer

TL;DR
This paper revisits Barbour's 1990 work on Stein's method for diffusion approximations, clarifying the mathematical properties of the semigroup involved and confirming the validity of the original main results.
Contribution
It corrects a misconception about the semigroup’s strong continuity and provides an exact solution to the Stein equation, reaffirming Barbour's foundational results.
Findings
The semigroup is not strongly continuous on the specified Banach space.
The exact formulation of the Stein equation solution is established.
Barbour's main results remain valid despite the correction.
Abstract
In (Barbour, 1990) foundations for diffusion approximation via Stein's method are laid. This paper has been cited more than 130 times and is a cornerstone in the area of Stein's method. A semigroup argument is used therein to solve a Stein equation for Gaussian diffusion approximation. We prove that, contrary to the claim in (Barbour, 1990), the semigroup considered therein is not strongly continuous on the Banach space of continuous, real-valued functions on D[0,1] growing slower than a cubic, equipped with an appropriate norm. We also provide a proof of the exact formulation of the solution to the Stein equation of interest, which does not require the aforementioned strong continuity. This shows that the main results of (Barbour, 1990) hold true.
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\SHORTTITLE
Note on A. Barbour’s paper on Stein’s method for diffusion approximations \TITLENote on A. Barbour’s paper on Stein’s method for diffusion approximations \AUTHORSMikołaj J. Kasprzak111University of Oxford, United Kingdom. \[email protected] and Andrew B. Duncan222University of Sussex, United Kingdom. \[email protected] and Sebastian J. Vollmer333University of Warwick, United Kingdom. \[email protected] \KEYWORDSStein’s method ; Donsker’s Theorem ; Diffusion approximations \AMSSUBJPrimary: 60B10, 60F17, Secondary: 60J60, 60J65, 60E05 \SUBMITTEDFebruary 22, 2017 \ACCEPTEDApril 4, 2017 \VOLUME22 \YEAR2017 \PAPERNUM23 \DOI54 \ABSTRACTIn [2] foundations for diffusion approximation via Stein’s method are laid. This paper has been cited more than 130 times and is a cornerstone in the area of Stein’s method (see, for example, its use in [1] or [7]). A semigroup argument is used in [2] to solve a Stein equation for Gaussian diffusion approximation. We prove that, contrary to the claim in [2], the semigroup considered therein is not strongly continuous on the Banach space of continuous, real-valued functions on growing slower than a cubic, equipped with an appropriate norm. We also provide a proof of the exact formulation of the solution to the Stein equation of interest, which does not require the aforementioned strong continuity. This shows that the main results of [2] hold true.
1 Introduction
In [2] a claim is made that the semigroup defined by (2.4) thereof is strongly continuous on space defined on page 299 thereof. We prove that this is not the case. Nevertheless, we show that the only assertion of the paper following from the aforementioned assumption of strong continuity, namely the claim that (2.20) solves the Stein equation (2.1), remains true. This may be proved by adapting the proof of [5, Proposition 9, p. 9] and noting that in the case of interest in [2], the point-wise continuity of the semigroup is sufficient. It then follows that all the other results of [2] hold true.
In Section 2 we recall the relevant definitions and notation from [2]. In Section 3 we give a counterexample to the strong continuity of the semigroup. In Section 4 we provide a proof of the fact that the function (2.20) of [2] does actually solve the Stein equation. We do this by following the steps of the proof of [5, Proposition 9, p. 9] and proving each of the assertions therein for the semigroup of interest by hand.
2 Definitions and notation
By we will mean the Skorohod space of all the càdlàg functions
. In the sequel will always denote the supremum norm. By we mean the -th Fréchet derivative of and the -linear norm is defined to be . We will also often write instead of . Let:
[TABLE]
and for any let .
We define:
[TABLE]
for any for which the expressions exist and
[TABLE]
The Stein operator for approximation by , the Brownian Motion on , is defined, as in (2.9) and (2.11) of [2], by:
[TABLE]
for any , for which it exists. By we denote the Schauder functions defined, as on page 299 of [2] by:
[TABLE]
where, for :
[TABLE]
We also define a semigroup acting on :
[TABLE]
where .
For any with , the Stein equation is given by:
[TABLE]
The idea of Stein’s method applied in [2] is to find a bound on , where is a solution to this equation, in order bound , for some stochastic process on .
3 Counterexample to strong continuity
It is well known that the Ornstein-Uhlenbeck semigroup is not strongly continuous on the space , see [3]. More generally, given a separable Hilbert space , in [8] it is noted that this semigroup is also not strongly continuous on the space of all continuous functions such that is uniformly continuous and . Following these two results, in this section we shall show that the semigroup defined by (1) is not strongly continuous on the Banach space by constructing an explicit counterexample.
Lemma 3.1**.**
The semigroup is not strongly continuous on .
Proof 3.2**.**
Consider defined by:
[TABLE]
Note that:
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Now:
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Furthermore, given , consider such that . Fix , such that for any : . Now, for any such that and for every , we have:
[TABLE]
and so:
[TABLE]
Therefore:
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Finally, for any , consider defined by . For , we have:
[TABLE]
Therefore:
[TABLE]
By (2), (3), (4), (5), and so is not strongly continuous on .
4 Solution to the Stein equation
We first show that the function, which in Lemma 4.4 is shown to solve the Stein equation, exists and belongs to the domain of .
Lemma 4.1**.**
For any , such that , exists and is in the domain of .
Proof 4.2**.**
Note that:
[TABLE]
uniformly in . This follows from the fact that:
[TABLE]
uniformly in because , and . Now, we note that, as a consequence of (6), we have:
[TABLE]
for some constant . Since is complete, this guarantees the existence of .
As noted in (2.23) and (2.24) of [2], dominated convergence may be used, because of (7) to obtain that:
[TABLE]
and, as a consequence, that . This is enough to conclude that belongs to the domain of by the observation directly above the formulation of labelled as (2.9) in [2].
Remark 4.3**.**
The argument of (2.23) and (2.24) in [2] also readily gives that for any and : .
We now prove that observation (2.19) of [2] is true for all :
Lemma 4.4**.**
For all and for all :
[TABLE]
Proof 4.5**.**
We will follow the steps of the proof of Proposition 1.5 on p. 9 of [5]. Observe that for all and :
[TABLE]
Taking on the left-hand side gives , since belongs to the domain of by Lemma 4.1 and Remark 4.3. In order to analyse the right-hand side note that:
[TABLE]
Similarly:
[TABLE]
Therefore, as , the right-hand side of (10) converges to , which finishes the proof.
Proposition 4.6**.**
For any , such that , solves the Stein equation:
[TABLE]
Proof 4.7**.**
We note that for any and for any :
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We also note that for any , and some constant depending only on :
[TABLE]
as noted on page 300 of [2]. Therefore, we can apply dominated convergence to obtain:
[TABLE]
Similarly, for , because:
[TABLE]
again, by dominated convergence. It can be applied because of (12) and the observation that for any and :
[TABLE]
and so for any , is bounded by a random variable with finite expectation.
Thus, for all and :
[TABLE]
and so, by the Fundamental Theorem of Calculus:
[TABLE]
By Remark 4.3, we can apply (13) to to obtain:
[TABLE]
Now, we take . Let be an independent copy of . We apply dominated convergence, which is allowed because of (7) and the following bound for :
[TABLE]
where the second inequality follows again by dominated convergence applied because of (7) in order to exchange integration and differentiation in a way similar to (8). Then, we obtain:
[TABLE]
Now, by Lemma 4.1, we can divide both sides by and take to obtain:
[TABLE]
which finishes the proof.
Remark 4.8**.**
In [6, Proposition 15] the authors prove that the semigroup of an -valued Itô diffusion with Lipschitz drift and diffusion coefficients is strongly continuous on the space , equipped with the norm , where is the set of all continuous functions vanishing at infinity and is the norm on . It might seem natural to try to adapt their argument to the infinite-dimensional setting and consider the space , equipped with the norm . Since , the semigroup 1 being strongly continuous on would readily imply Proposition 4.6.
However, there is no easy extension of the argument used in the proof of [6, Proposition 15] to the infinite dimensional setting. The reason is that the Riesz-Markov theorem for space [4, Theorem 2.4] invoked in the proof, requires a closed unit ball in the domain of the functions in to be compact. In other words, it requires the domain of the functions in to be a finite-dimensional space. Since is infinite-dimensional, [4, Theorem 2.4] cannot be easily adapted to our setting and so the proof of [6, Proposition 15] cannot be easily adapted either.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] A.D. Barbour, Stein’s method and Poisson process convergence , Journal of Applied Probability 25 (1988), 175–184.
- 2[2] A.D. Barbour, Stein’s Method for Diffusion Approximations , Probability Theory and Related Fields 84 (1990), 297–322.
- 3[3] Giuseppe Daprato and Alessandra Lunardi, On the Ornstein-Uhlenbeck operator in spaces of continuous functions , Journal of Functional Analysis 131 (1995), no. 1, 94–114.
- 4[4] P. Doersek and J. Teichmann, A Semigroup Point of View On Splitting Schemes For Stochastic (Partial) Differential Equations , ar Xiv:1011.2651, 2010.
- 5[5] S.N. Ethier and T.G. Kurtz, Markov processes: characterization and convergence , Wiley, New York, 1986.
- 6[6] J. Gorham, A.B. Duncan, S.J. Vollmer, and L. Mackey, Measuring sample quality with diffusions , ar Xiv:1611.06972, 2016.
- 7[7] S. Holmes and G. Reinert, Stein’s method for bootstrap , Lecture Notes-Monograph Series, vol. 46, Institute of Mathematical Statistics, 2004.
- 8[8] Luigi Manca, Kolmogorov operators in spaces of continuous functions and equations for measures , Ph.D. thesis, Scuola Normale Superiore di Pisa, 2008.
