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A Local Refinement Strategy for Constructive Quantization of Scalar SDEs

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Abstract

We present a fully constructive method for quantization of the solution X of a scalar SDE in the path space L p [0,1] or C[0,1]. The construction relies on a refinement strategy which takes into account the local regularity of X and uses Brownian motion (bridge) quantization as a building block. Our algorithm is easy to implement, its computational cost is close to the size of the quantization, and it achieves strong asymptotic optimality provided this property holds for the Brownian motion (bridge) quantization.

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References

  1. S. Dereich, High resolution coding of stochastic processes and small ball probabilities. Ph.D. Thesis, Department of Mathematics, FU, Berlin, 2003.

  2. S. Dereich, The coding complexity of diffusion processes under supremum norm distortion, Stoch. Process. Appl. 118, 917–937 (2008).

    Article  MathSciNet  MATH  Google Scholar 

  3. S. Dereich, The coding complexity of diffusion processes under L p[0,1]-norm distortion, Stoch. Process. Appl. 118, 938–951 (2008).

    Article  MathSciNet  MATH  Google Scholar 

  4. S. Dereich, Asymptotic formulae for coding problems and intermediate optimization problems: a review, in Trends in Stochastic Analysis, ed. by J. Blath, P. Moerters, M. Scheutzow (Cambridge Univ. Press, Cambridge, 2009), pp. 187–232.

    Chapter  Google Scholar 

  5. S. Dereich, M. Scheutzow, High-resolution quantization and entropy coding for fractional Brownian motion, Electron. J. Probab. 11, 700–722 (2006).

    Article  MathSciNet  Google Scholar 

  6. S. Dereich, M. Scheutzow, R. Schottstedt, Constructive quantization: approximation by empirical measures, Ann. Inst. Henri Poincaré, Probab. Stat. (2010, to appear).

  7. S. Graf, H. Luschgy, Foundations of Quantization for Probability Distributions. Lect. Notes in Math., vol. 1730 (Springer, Berlin, 2000).

    Book  MATH  Google Scholar 

  8. N. Hofmann, T. Müller-Gronbach, K. Ritter, The optimal discretization of stochastic differential equations, J. Complex. 17, 117–153 (2001).

    Article  MATH  Google Scholar 

  9. N. Hofmann, T. Müller-Gronbach, K. Ritter, Linear vs. standard information for scalar stochastic differential equations, J. Complex. 18, 394–414 (2002).

    Article  MATH  Google Scholar 

  10. P. Kloeden, E. Platen, Numerical Solution of Stochastic Differential Equations (Springer, Berlin, 1992).

    Book  MATH  Google Scholar 

  11. H. Luschgy, G. Pagès, Sharp asymptotics of the functional quantization problem for Gaussian processes, Ann. Appl. Probab. 32, 1574–1599 (2004).

    Article  MATH  Google Scholar 

  12. H. Luschgy, G. Pagès, Functional quantization of a class of Brownian diffusion: a constructive approach, Stoch. Process. Appl. 116, 310–336 (2006).

    Article  MATH  Google Scholar 

  13. H. Luschgy, G. Pagès, Functional quantization rate and mean regularity of processes with an application to Lévy processes, Ann. Appl. Probab. 18, 427–469 (2008).

    Article  MathSciNet  MATH  Google Scholar 

  14. H. Luschgy, G. Pagès, B. Wilbertz, Asymptotically optimal quantization schemes for Gaussian processes, ESAIM Probab. Stat. 14, 93–116 (2010).

    Article  MathSciNet  MATH  Google Scholar 

  15. T. Müller-Gronbach, Optimal uniform approximation of systems of stochastic differential equations, Ann. Appl. Probab. 12, 664–690 (2002).

    Article  MathSciNet  MATH  Google Scholar 

  16. T. Müller-Gronbach, Optimal pointwise approximation of SDEs based on Brownian motion at discrete points, Ann. Appl. Probab. 14, 1605–1642 (2004).

    Article  MathSciNet  MATH  Google Scholar 

  17. T. Müller-Gronbach, K. Ritter, A local refinement strategy for constructive quantization of scalar SDEs. Preprint 72, DFG Priority Programme 1324, 2010.

  18. T. Müller-Gronbach, K. Ritter, L. Yaroslavtseva, Derandomization of the Euler scheme for scalar stochastic differential equations, J. Complex. 28, 139–153 (2012).

    Article  MATH  Google Scholar 

  19. E. Novak, The real number model in numerical analysis, J. Complex. 11, 57–73 (1995).

    Article  MATH  Google Scholar 

  20. G. Pagès, J. Printems (2005). http://www.quantize.maths-fi.com/.

  21. G. Pagès, J. Printems, Optimal quantization for finance: from random vectors to stochastic processes, in Mathematical Modelling and Numerical Methods in Finance. Handbook of Numerical Analysis, vol. XV, ed. by A. Bensoussan, Q. Zhang (North-Holland, Amsterdam, 2008), pp. 595–648.

    Google Scholar 

  22. G. Pagès, A. Sellami, Convergence of multi-dimensional quantized SDE’s, in Séminaire de Probabilités XLIII, Lect. Notes in Math., vol. 2006, ed. by C. Donati Martin, A. Lejay, A. Rouault (Springer, Berlin, 2011), pp. 269–307.

    Chapter  Google Scholar 

  23. S. Toussaint, Konstruktive Quantisierung skalarer Diffusionsprozesse. Diploma Thesis, Department of Mathematics, TU Darmstadt, 2008.

  24. J.F. Traub, G.W. Wasilkowski, H. Woźniakowski, Information-Based Complexity (Academic Press, San Diego, 1988).

    MATH  Google Scholar 

  25. B. Wilbertz, Construction of optimal quantizers for Gaussian measures on Banach spaces. Ph.D. Thesis, Department of Mathematics, Universität Trier, 2008.

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Acknowledgements

This work was supported by the Deutsche Forschungsgemeinschaft (DFG) within the Priority Programme 1324. We are grateful to Stephan Toussaint for the implementation of our quantization method, and we thank Robert Offinger for his technical support.

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Correspondence to Thomas Müller-Gronbach.

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Communicated by Peter Kloeden.

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Müller-Gronbach, T., Ritter, K. A Local Refinement Strategy for Constructive Quantization of Scalar SDEs. Found Comput Math 13, 1005–1033 (2013). https://doi.org/10.1007/s10208-013-9160-1

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  • DOI: https://doi.org/10.1007/s10208-013-9160-1

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