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Functional quantization of a class of Brownian diffusions: A constructive approach

机译:一类布朗扩散的函数量化:一种构造方法

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摘要

The functional quantization problem for one-dimensional Brownian diffusions on [0, T] is investigated. One shows under rather general assumptions that the rate of convergence of the L-p-quantization error is O((log n)-(1/2)) like for the Brownian motion. Several methods to construct some rate-optimal quantizers are proposed. These results are extended to d-dimensional diffusions when the diffusion coefficient is the inverse of a gradient function. Finally, a special attention is given to diffusions with a Gaussian martingale term. (C) 2005 Elsevier B.V. All rights reserved.
机译:研究了[0,T]上一维布朗扩散的函数量化问题。在相当笼统的假设下,一个结果表明,L-p量化误差的收敛速度与布朗运动一样,为O((log n)-(1/2))。提出了几种构建速率最佳量化器的方法。当扩散系数是梯度函数的倒数时,这些结果扩展到d维扩散。最后,对具有高斯ting项的扩散给予了特别的关注。 (C)2005 Elsevier B.V.保留所有权利。

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