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Hausdorff Measure and Uniform Dimension for Space-Time Anisotropic Gaussian Random Fields

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Abstract

Let \(X=\{ X(t), t\in \mathbb {R}^{N}\} \) be a centered space-time anisotropic Gaussian random field in \(\mathbb {R}^d\) with stationary increments, where the components \(X_{i}(i=1,\ldots ,d)\) are independent but distributed differently. Under certain conditions, we not only give the Hausdorff dimension of the graph sets of X in the asymmetric metric in the recurrent case, but also determine the exact Hausdorff measure functions of the graph sets of X in the transient and recurrent cases, respectively. Moreover, we establish a uniform Hausdorff dimension result for the image sets of X. Our results extend the corresponding results on fractional Brownian motion and space or time anisotropic Gaussian random fields.

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References

  1. Adler, R.J.: The Geometry of Random Fields. Wiley, New York (1981)

    Google Scholar 

  2. Biermé, H., Meerschaert, M.M., Scheffler, H.P.: Operator scaling stable random fields. Stoch. Process. Appl. 117, 312–332 (2007)

    Article  MathSciNet  Google Scholar 

  3. Biermé, H., Lacaux, C., Xiao, Y.: Hitting probabilities and the Hausdorff dimension of the inverse images of anisotropic Gaussian random fields. Bull. Lond. Math. Soc. 41, 253–273 (2009)

    Article  MathSciNet  Google Scholar 

  4. Chen, Z., Xiao, Y.: On intersections of independent anisotropic Gaussian random fields. Sci. China Math. 55, 2217–2232 (2012)

    Article  MathSciNet  Google Scholar 

  5. Chen, Z., Liu, S.: Hausdorff-type measures of the sample path of Gaussian random fields. Acta Math. Sin. (Engl. Ser.) 21, 623–636 (2005)

    Article  MathSciNet  Google Scholar 

  6. Chen, Z., Wang, J., Wu, D.: On intersections of independent space-time anisotropic Gaussian fields. Stat. Probab. Lett. 166, 108874 (2020)

    Article  MathSciNet  Google Scholar 

  7. Ehm, W.: Sample function properties of multi-parameter stable processes. Z. Wahrsch. Verw. Gebiete 56, 195–228 (1981)

    Article  MathSciNet  Google Scholar 

  8. Falconer, K.J.: Fractal Geometry-Mathematical Foundations and Applications, 2nd edn. John Wiley and Sons Ltd., Chichester (2003)

    Book  Google Scholar 

  9. Jain, N.C., Pruitt, S.E.: The correct measure function for the graph of a transient stable process. Z. Wahrsch. Verw. Gebiete 9, 131–138 (1968)

    Article  MathSciNet  Google Scholar 

  10. Khoshnevisan, D., Xiao, Y.: Images of the Brownian sheet. Trans. Am. Math. Soc. 359, 3125–3151 (2007)

    Article  MathSciNet  Google Scholar 

  11. Khoshnevisan, D., Wu, D., Xiao, Y.: Sectorial local nondeterminism and the geometry of the Brownian sheet. Electron. J. Probab. 11, 817–843 (2006)

    MathSciNet  Google Scholar 

  12. Kaufman, R.: Une propriété métrique du mouvement brownien. C. R. Acad. Sci. Paris 268, 727–728 (1968)

    Google Scholar 

  13. Kahane, J.P.: Some Random Series of Functions, 2nd edn. Cambridge University Press, Cambridge (1985)

    Google Scholar 

  14. Khoshnevisan, D.: Multiparameter Processes: An Introduction to Random Fields. Springer, New York (2002)

    Book  Google Scholar 

  15. Luan, N., Xiao, Y.: Spectral conditions for strong local nondeterminism and exact Hausdorff measure of ranges of Gaussian random fields. J. Fourier Anal. Appl. 18, 118–145 (2012)

    Article  MathSciNet  Google Scholar 

  16. Lee, C.Y.: The Hausdorff measure of the range and level sets of Gaussian random fields with sectorial local nondeterminism. Bernoulli 28, 277–306 (2022)

    Article  MathSciNet  Google Scholar 

  17. Monrad, D., Pitt, L.D.: Local nondeterminism and Hausdorff dimension. In: Cindlar, E., Chung, K.L., Getoor, R.K. (eds.) Progress in Probability and Statistics. Seminar on Stochastic Processes 1986, pp. 163–189. Birkhäuser, Boston (1987)

  18. Mountford, T.S.: Uniform dimension results for the Brownian sheet. Ann. Probab. 17, 1454–1462 (1989)

    Article  MathSciNet  Google Scholar 

  19. Mason, D.J., Xiao, Y.: Sample path properties of operator self-similar Gaussian random fields. Theor. Probab. Appl. 46, 58–78 (2002)

    Article  MathSciNet  Google Scholar 

  20. Meerschaert, M.M., Scheffler, H.P.: Limit Distributions for Sums of Independent Random Vectors: Heavy Tails in Theory and Practice. Wiley-Interscience, New York (2001)

    Google Scholar 

  21. Ni, W., Chen, Z.: Hitting probabilities and dimension results for space-time anisotropic Gaussian random fields (in Chinese). Sci. Sin. Math. 48, 419–442 (2018)

    Google Scholar 

  22. Ni, W., Chen, Z.: Hausdorff measure of the range of space-time anisotropic Gaussian random fields. J. Theor. Probab. 34, 264–282 (2021)

    Article  MathSciNet  Google Scholar 

  23. Ni, W., Chen, Z., Wang, W.: Dimension results for space-anisotropic Gaussian random fields. Acta Math. Sin. (Engl. Ser.) 35, 391–406 (2019)

    Article  MathSciNet  Google Scholar 

  24. Pruitt, W.E., Taylor, S.J.: Sample path properties of processes with stable components. Z. Wahrsch. Verw. Gebiete 12, 267–289 (1969)

    Article  MathSciNet  Google Scholar 

  25. Pitt, L.D.: Local times for Gaussian vector fields. Indiana Univ. Math. J. 27, 307–330 (1978)

    Article  MathSciNet  Google Scholar 

  26. Rogers, C., Taylor, S.J.: Functions continuous and singular with respect to a Hausdorff measure. Mathematika 8, 1–31 (1961)

    Article  MathSciNet  Google Scholar 

  27. Talagrand, M.: Hausdorff measure of trajectories of multiparameter fractional Brownian motion. Ann. Probab. 23, 767–775 (1995)

    Article  MathSciNet  Google Scholar 

  28. Taylor, S.J.: The measure theory of random fractals. Math. Proc. Camb. Philos. Soc. 100, 383–406 (1986)

    Article  MathSciNet  Google Scholar 

  29. Wu, D., Xiao, Y.: Geometric properties of fractional Brownian sheets. J. Fourier Anal. Appl. 13, 1–37 (2007)

    Article  MathSciNet  CAS  Google Scholar 

  30. Wu, D., Xiao, Y.: Uniform dimension results for Gaussian random fields. Sci. China Ser. A 52, 1478–1496 (2009)

    Article  MathSciNet  Google Scholar 

  31. Xiao, Y.: Dimension results for Gaussian vector fields and index-\(\alpha \) stable fields. Ann. Probab. 23, 273–291 (1995)

    Article  MathSciNet  Google Scholar 

  32. Xiao, Y.: Hausdorff measure of sample paths of Gaussian random fields. Osaka J. Math. 33, 895–913 (1996)

    MathSciNet  Google Scholar 

  33. Xiao, Y.: Hausdorff measure of the graph of fractional Brownian motion. Math. Proc. Camb. Philo. Soc. 122, 565–576 (1997)

    Article  MathSciNet  Google Scholar 

  34. Xiao, Y.: Random fractals and Markov processes. Fractal Geometry and Application: a Jubilee of Benoit Mandelbrot, (Eds: Michel L. Lapidus and Machie van Frankenhuijsen), pp. 261–338, American Mathematical Society, Providence (2004)

  35. Xiao, Y.: Sample path properties of anisotropic Gaussian random fields. In: Khoshnevisan, D., Rassoul-Agha, F. (eds.) A Minicourse on Stochastic Partial Differential Equations, Lecture Notes in Math. 1962, pp. 145–212. Springer, New York (2009)

  36. Xiao, Y.: Recent developments on fractal properties of Gaussian random fields. In: Barral, J., Seuret, S. (eds.) Further Developments in Fractals and Related Fields, pp. 255–288, Springer, New York (2013)

  37. Xue, Y., Xiao, Y.: Fractal and smoothness properties of space-time Gaussian models. Front. Math. China 6, 1217–1248 (2011)

    Article  MathSciNet  Google Scholar 

  38. Yaglom, A.M.: Some classes of random fields in n-dimensional space, related to stationary random processes. Theory Probab. Appl. 2, 273–320 (1957)

    Article  Google Scholar 

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Correspondence to Zhenlong Chen.

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This work was supported by the National Natural Science Foundation of China (12371150), Zhejiang Province Philosophy and Social Science Planning Routine Subject (24NDJC131YB) and the Management Project of "Digital+" Discipline Construction of Zhejiang Gongshang University (SZJ2022A012, SZJ2022B017) .

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Yuan, W., Chen, Z. Hausdorff Measure and Uniform Dimension for Space-Time Anisotropic Gaussian Random Fields. J Theor Probab (2024). https://doi.org/10.1007/s10959-024-01323-7

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  • DOI: https://doi.org/10.1007/s10959-024-01323-7

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