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Spectral approach to white noise analysis

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Abstract

By using the spectral projection theorem, we construct the classical Segal transformation as a Fourier transformation in the generalized joint eigenvectors of a certain family of field operators. It is noted that the spectral approach to the Segal transformation, which forms the basis of the analysis of Gaussian white noise, enables one to construct a significant generalization of this transformation.

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References

  1. T. Hida, “Analysis of Brownian functionals,”Carleton Math. Lect. Notes, No. 13 (1975).

  2. I. Kubo and S. Takenaka, “Calculus of Gaussian white noise. I–IV,”Proc. Jpn. Acad.,56A, No. 8, 376–380 (1980);56A, No. 9, 411–416 (1981);57A, No. 9, 433–437 (1982);58A, No. 5, 186–189 (1982).

    Google Scholar 

  3. J. Potthoff and L. Streit, “A characterization of Hida distributions,”J. Funct. Anal.,101, No. 1, 212–229 (1991).

    Google Scholar 

  4. T. Hida, J. Potthoff, and L. Streit, “White noise analysis and applications,”Math. Phys., Lect. on Recent Results,3, 143–178 (1989).

    Google Scholar 

  5. S. Albeverio, T. Hida, J. Potthoff, M. Röckner, and L. Streit, “Dirichlet forms in terms of white noise analysis I: Construction and QFT examples,”Rev. Math. Phys.,1, No. 2, 291–312 (1990).

    Google Scholar 

  6. S. Albeverio, T. Hida, J. Potthoff, M. Röckner, and L. Streit. “Dirichlet forms in terms of white noise analysis II: Closability and diffusion processes,”Rev. Math. Phys.,1, No. 2, 313–323 (1990).

    Google Scholar 

  7. Hui-Hsiung Kuo, “Lectures on white noise analysis,” in:Proc. Preseminar Internal Conf. on Gaussian Random Fields, Pt. 1, Nagoya University, Nagoya (1991), pp. 1–65.

    Google Scholar 

  8. Yuh-Jia Lee, “Calculus of generalized white noise functionals — An abstract Wiener space approach,” in:Proc. Preseminar Internat. Conf. on Gaussian Random Fields, Pt. 1, Nagoya University, Nagoya (1991), pp. 66–125.

    Google Scholar 

  9. Y. Yokoi, “Properties of Gelfand triplet in white noise analysis and a characterization of positive Hida distributions,” in:Proc. Preseminar Internat. Conf. on Gaussian Random Fields, Pt. 2, Nagoya University, Nagoya (1991), pp. 27–48.

    Google Scholar 

  10. T. Hida, “White noise and random field — old and new,” in:Proc. Preseminar Internat. Conf. on Gaussian Random Fields, Pt. 3, Nagoya University, Nagoya (1991), pp. 1–10.

    Google Scholar 

  11. Yu. M. Berezanskii and Yu. S. Samoilenko, “Nuclear spaces of functions of infinitely many variables,”Ukr. Math. Zh.,25, No. 6, 723–737 (1973).

    Google Scholar 

  12. Yu. G. Kondrat'ev, “Nuclear spaces of entire functions in problems of infinite-dimensional analysis,”Dokl. Akad. Nauk SSSR,254, No. 6, 1325–1329 (1980).

    Google Scholar 

  13. Yu. G. Kondrat'ev and Yu. S. Samoilenko, “The space of trial and generalized functions of infinite number of variables,”Rept. Math. Phys.,14, No. 3, 325–350 (1978).

    Google Scholar 

  14. Yu. M. Berezanskii,Self-Adjoint Operators in Spaces of Functions of Infinitely Many Variables [in Russian], Naukova Dumka, Kiev (1978).

    Google Scholar 

  15. Yu. M. Berezanskii,Self-Adjoint Operators in Spaces of Functions of Infinitely Many Variables, American Mathematical Society, Providence, R.I. (1986) (extended English translation of [14]).

    Google Scholar 

  16. Yu. M. Berezanskii and Yu. G. Kondrat'ev,Spectral Methods in Infinite-Dimensional Analysis [in Russian], Naukova Dumka, Kiev (1988) [English translation: Kluwer AP, Dordrecht (1995)].

    Google Scholar 

  17. V. D. Koshmanenko and Yu. S. Samoilenko, “On an isomorphism between the Fock space and a space of functions of infinitely many variables,”Ukr. Math. Zh.,27, No. 5, 669–674 (1975).

    Google Scholar 

  18. Yu. M. Berezansky, V. O. Livinskii, and E. V Lytvynov,Spectral Approach to White Noise Analysis, Preprint ETH-TH, No. 91-31, Zürich (1991).

  19. E. V. Lytvynov,On the Segal Isomorphism [in Russian], Preprint No. 92.31, Institute of Mathematics, Ukrainian Academy of Sciences, Kiev (1992).

    Google Scholar 

  20. Yu. M. Berezanskii, V. O. Livinskii, and E. V. Litvinov, “On a generalization of the Segal transformation,”Dokl. Ukr. Akad. Nauk, No. 5, 16–20 (1992).

    Google Scholar 

  21. Yu. M. Berezanskii,Expansion in Eigenfunctions of Self-Adjoint Operators [in Russian], Naukova Dumka, Kiev (1965) [English translation: American Mathematical Society, Providence, R.I. (1968)].

    Google Scholar 

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Translated from Ukrainskii Matematicheskii Zhurnal, Vol. 46, No. 3, pp. 177–197, March, 1994.

This research was supported by the Ukrainian State Committee on Science and Technology and by the Swiss National Foundation (SNF).

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Berezanskii, Y.M., Livinskii, O.V. & Litvinov, E.M. Spectral approach to white noise analysis. Ukr Math J 46, 183–203 (1994). https://doi.org/10.1007/BF01062234

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  • DOI: https://doi.org/10.1007/BF01062234

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