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Good Lattice Rules in Weighted Korobov Spaces with General Weights

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Abstract

We study the problem of multivariate integration and the construction of good lattice rules in weighted Korobov spaces with general weights. These spaces are not necessarily tensor products of spaces of univariate functions. Sufficient conditions for tractability and strong tractability of multivariate integration in such weighted function spaces are found. These conditions are also necessary if the weights are such that the reproducing kernel of the weighted Korobov space is pointwise non-negative. The existence of a lattice rule which achieves the nearly optimal convergence order is proven. A component-by-component (CBC) algorithm that constructs good lattice rules is presented. The resulting lattice rules achieve tractability or strong tractability error bounds and achieve nearly optimal convergence order for suitably decaying weights. We also study special weights such as finite-order and order-dependent weights. For these special weights, the cost of the CBC algorithm is polynomial. Numerical computations show that the lattice rules constructed by the CBC algorithm give much smaller worst-case errors than the mean worst-case errors over all quasi-Monte Carlo rules or over all lattice rules, and generally smaller worst-case errors than the best Korobov lattice rules in dimensions up to hundreds. Numerical results are provided to illustrate the efficiency of CBC lattice rules and Korobov lattice rules (with suitably chosen weights), in particular for high-dimensional finance problems.

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References

  1. Acworth, P., Broadie M., Glasserman, P.: A comparison of some Monte Carlo and quasi-Monte Carlo techniques for option pricing. In: Hellekallek, P., Niederreiter H. (eds) Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing. Spring-Verlag, pp 1–18, 1997

  2. Brown, G., Chandler, G.A., Sloan, I.H., Wilson, D.C.: Properties of certain trigonometric series arising in numerical analysis. J. Math. Anal. Appl. 371–380 (1991)

  3. Caflisch, R.E., Morokoff, W., Owen, A.B.: Valuation of Mortgage backed securities using Brownian bridges to reduce effective dimension. J. Comp. Finance 1, 27–46 (1997)

    Google Scholar 

  4. Dick, J.: On the convergence order of the component-by-component construction of good lattice rules. J. Complexity 20, 493–522 (2004)

    Article  MathSciNet  Google Scholar 

  5. Dick, J., Sloan, I.H., Wang, X., Woźniakowski, H.: Liberating the weights. J. Complexity 20, 593–623 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  6. Hickernell, F.J., Wang, X.: The error bounds and tractability of quasi-Monte Carlo algorithms in infinite dimension. Math. Comp. 71, 1641–1661 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  7. Hickernell, F.J., Woźniakowski, H.: Integration and approximation in arbitrary dimensions. Adv. Comput. Math. 12, 25–58 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  8. Kuo, F.Y.: Component-by-component constructions achieve the optimal rate of convergence for multivariate integration in weighted Korobov and Sobolev spaces. J. Complexity 19, 301–320 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  9. Kuo, F.Y., Joe, S.: Component-by-component construction of good lattice points with composite number of points. J. Complexity 18, 943–976 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  10. Niederreiter, H.: Random Number Generation and Quasi-Monte Carlo Methods. Philadelphia: SIAM, 1992

  11. Novak, E., Woźniakowski, H.: Intractability results for integration and discrepancy. J. Complexity 17, 388–441 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  12. Sloan, I.H., Joe, S.: Lattice Methods for Multiple Integration. Oxford: Oxford University Press, 1994

  13. Sloan, I.H., Kuo, F.Y., Joe, S.: Constructing randomly shifted lattice rules in weighted Sobolev spaces. SIAM J. Numer. Anal. 40, 1650–1665 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  14. Sloan, I.H., Wang, X., Woźniakowski, H.: Finite-order weights imply tractability of multivariate integration. J. Complexity 20, 46–74 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  15. Sloan, I.H., Woźniakowski, H.: When are quasi-Monte Carlo algorithms efficient for high dimensional integrals?. J. Complexity 14, 1–33 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  16. Sloan, I.H., Woźniakowski, H.: Tractability of multivariate integration for weighted Korobov classes. J. Complexity 17, 697–721 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  17. Sobol', I.M.: On the distribution of points in a cube and the approximate evaluation of integrals. Zh. Vychisli. Mat. i Mat. Fiz. 7, 784–802 (1967)

    MATH  MathSciNet  Google Scholar 

  18. Traub, J.F., Wasilkowski, G.W., Woźniakowski, H.: Information-Based Complexity. New York: Academic Press, 1988

  19. Wang, X., Fang, K.T.: Effective dimensions and quasi-Monte Carlo integration. J. Complexity 19, 101–124 (2003)

    Article  MATH  MathSciNet  Google Scholar 

  20. Wang, X., Sloan, I.H.: Why are high-dimensional finance problems often of low effective dimension?. SIAM J. Sci. Comput. 27, 159–183 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  21. Wang, X., Sloan, I.: Efficient weighted lattice rules with application to finance. SIAM J. Sci. Comput. (to appear)

  22. Wang, X., Sloan, I.H., Dick, J.: On Korobov lattice rules in weighted spaces. SIAM J. Numer. Anal. 42, 1760–1779 (2004)

    Article  MATH  MathSciNet  Google Scholar 

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Correspondence to Xiaoqun Wang.

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Dick, J., Sloan, I., Wang, X. et al. Good Lattice Rules in Weighted Korobov Spaces with General Weights. Numer. Math. 103, 63–97 (2006). https://doi.org/10.1007/s00211-005-0674-6

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  • DOI: https://doi.org/10.1007/s00211-005-0674-6

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