Hostname: page-component-5b777bbd6c-ks5gx Total loading time: 0 Render date: 2025-06-18T23:28:28.240Z Has data issue: false hasContentIssue false

On a convergence of positive continuous additive functionals in terms of the smooth measures

Published online by Cambridge University Press:  16 May 2025

Yasuhito Nishimori
Affiliation:
Faculty of Education, University of Yamanashi, Yamanashi 400-8510, Japan e-mail: y.nishimori@yamanashi.ac.jp
Matsuyo Tomisaki
Affiliation:
Department of Mathematics, Nara Women’s University, Nara, 630-8506, Japan e-mail: tomisaki@cc.nara-wu.ac.jp
Kaneharu Tsuchida*
Affiliation:
Department of Mathematics, National Defense Academy, Yokosuka, 239-8686, Japan
Toshihiro Uemura
Affiliation:
Department of Mathematics, Faculty of Engineering Science, Kansai University, Osaka 564-8680, Japan e-mail: t-uemura@kansai-u.ac.jp

Abstract

A compactness of the Revuz map is established in the sense that the locally uniform convergence of a sequence of positive continuous additive functionals (PCAFs) is derived in terms of their smooth measures. To this end, we first introduce a metric on the space of measures of finite energy integrals and show some structures of the metric. Then, we show the compactness and give some examples of PCAFs that the convergence holds in terms of the associated smooth measures.

Type
Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of Canadian Mathematical Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

Footnotes

This work was supported by JSPS KAKENHI Grant Numbers JP19H00643 (T.U.), JP22K03340 (M.T., T.U.), JP22K03427 (Y.N.).

References

Andres, S. and Kajino, N., Continuity and estimates of the Liouville heat kernel with applications to spectral dimensions . Probab. Theory Rel. Fields 166(2016), 713752.Google Scholar
Chen, Z.-Q. and Fukushima, M., Symmetric Markov processes, time change, and boundary theory. Princeton University Press, Princeton, 2011.Google Scholar
Chen, Z.-Q., Tomisaki, M., and Uemura, T., On convergences of perturbed Dirichlet forms, in preparation, 2025.Google Scholar
Fukushima, M., From one dimensional diffusions to symmetric Markov processes . Stoch. Process. Appl. 120(2010), 590604. (Special issue A tribute to Kiyosi Itô)Google Scholar
Fukushima, M., On general boundary conditions for one-dimensional diffusions with symmetry . J. Math. Soc. Japan 66(2014), 289316.Google Scholar
Fukushima, M. and Oshima, Y., On the skew product of symmetric diffusion processes . Forum Math. 1(1989), 103142.Google Scholar
Fukushima, M., Oshima, Y., and Takeda, M., Dirichlet forms and Markov processes. 2nd ed., Walter de Gruyter, Berlin, 2011.Google Scholar
Garban, C., Rhodes, R., and Vargas, V., Liouville Brownian motion . Ann. Probab. 44(2016), 30763110.Google Scholar
Itô, K. and McKean, H. P., Diffusion processes and their sample paths. Springer-Verlag, New York, 1974.Google Scholar
Landkof, N. S., Foundations of modern potential theory. Springer, New York, 1972.Google Scholar
Okura, H., A new approach to the skew product of symmetric Markov processes . Mem. Fac. Eng. Design Kyoto Inst. Technol. 46(1998), 112.Google Scholar
Ooi, T., Convergence of processes time-changed by Gaussian multiplicative chaos. To appear in Potential Analysis.Google Scholar
Sharpe, M. J., General theory of Markov processes. Academic Press, Boston, 1988.Google Scholar