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Fractional Brownian motion : approximations and projections / Oksana Banna, Yuliya Mishura, Kostiantyn Ralchenko, Sergiy Shklyar.

By: Contributor(s): Material type: TextTextSeries: Mathematics and statistics series (ISTE)Publisher: London : ISTE Ltd. ; Hoboken : John Wiley & Sons, Inc., 2019Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119476771
  • 1119476771
Subject(s): Genre/Form: DDC classification:
  • 519.2/36 23
LOC classification:
  • QA274.75
Online resources:
Contents:
Projection of fBm on the Space of Martingales -- Distance Between fBm and Subclasses of Gaussian Martingales -- Approximation of fBm by Various Classes of Stochastic Processes -- Auxiliary Results from Mathematical, Functional and Stochastic Analysis -- Evaluation of the Chebyshev Center of a Set of Points in the Euclidean Space -- Simulation of fBm -- Solutions.
Summary: This monograph studies the relationships between fractional Brownian motion (fBm) and other processes of more simple form. In particular, this book solves the problem of the projection of fBm onto the space of Gaussian martingales that can be represented as Wiener integrals with respect to a Wiener process. It is proved that there exists a unique martingale closest to fBm in the uniform integral norm. Numerical results concerning the approximation problem are given. The upper bounds of distances from fBm to the different subspaces of Gaussian martingales are evaluated and the numerical calculations are involved. The approximations of fBm by a uniformly convergent series of Lebesgue integrals, semimartingales and absolutely continuous processes are presented. As auxiliary but interesting results, the bounds from below and from above for the coefficient appearing in the representation of fBm via the Wiener process are established and some new inequalities for Gamma functions, and even for trigonometric functions, are obtained.
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Online resource; title from PDF title page (EBSCO, viewed April 15, 2019).

Projection of fBm on the Space of Martingales -- Distance Between fBm and Subclasses of Gaussian Martingales -- Approximation of fBm by Various Classes of Stochastic Processes -- Auxiliary Results from Mathematical, Functional and Stochastic Analysis -- Evaluation of the Chebyshev Center of a Set of Points in the Euclidean Space -- Simulation of fBm -- Solutions.

Includes bibliographical references and index.

This monograph studies the relationships between fractional Brownian motion (fBm) and other processes of more simple form. In particular, this book solves the problem of the projection of fBm onto the space of Gaussian martingales that can be represented as Wiener integrals with respect to a Wiener process. It is proved that there exists a unique martingale closest to fBm in the uniform integral norm. Numerical results concerning the approximation problem are given. The upper bounds of distances from fBm to the different subspaces of Gaussian martingales are evaluated and the numerical calculations are involved. The approximations of fBm by a uniformly convergent series of Lebesgue integrals, semimartingales and absolutely continuous processes are presented. As auxiliary but interesting results, the bounds from below and from above for the coefficient appearing in the representation of fBm via the Wiener process are established and some new inequalities for Gamma functions, and even for trigonometric functions, are obtained.

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