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An elementary introduction to the discrete Malliavin calculus

##article.authors##

  • Naohiro Yoshida 敬愛大学

DOI:

https://doi.org/10.51094/jxiv.3584

キーワード:

random walk、 Clark--Ocone formula、 integration-by-parts、 chaos expansion、 discrete Malliavin calculus

抄録

Malliavin calculus is a powerful mathematical framework in stochastic analysis, yet its continuous-time theory presents a steep learning curve for students due to its reliance on advanced functional analysis and infinite-dimensional measure theory. This paper provides a strictly elementary, self-contained tutorial on the core concepts of Malliavin calculus by shifting the framework to a discrete-time symmetric random walk. By introducing the discrete Malliavin derivative as a simple difference operator and utilizing a fundamental orthogonal decomposition, we circumvent the heavy analytical machinery typically required. We present elementary algebraic proofs for the three pillars of the theory: the Clark--Ocone formula, the chaos expansion (discrete Stroock formula), and the integration-by-parts formula. This exposition is intended as a pedagogical stepping stone, revealing the beautiful algebraic simplicity underlying Malliavin calculus before readers tackle the infinite-dimensional continuous setting.

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引用文献

Akahori, J., Amaba, T., and Okuma, K. (2017). A discrete-time clark--ocone formula and its application to an error analysis. Journal of Theoretical Probability, 30(3):932--960.

Malliavin, P. (1997). Stochastic Analysis, volume 313 of Grundlehren der mathematischen Wissenschaften. Springer-Verlag, Berlin.

Malliavin, P. and Thalmaier, A. (2006). Stochastic calculus of variations in mathematical finance. Springer.

Muroi, Y. and Suda, S. (2013). Discrete malliavin calculus and computations of greeks in the binomial tree. European Journal of Operational Research, 231(2):349--361.

Nualart, D. (2006). The Malliavin Calculus and Related Topics. Probability and Its Applications. Springer-Verlag, Berlin, 2nd edition.

Privault, N. (2009). Stochastic Analysis in discrete and Continuous settings: with normal martingales. Springer.

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投稿日時: 2026-03-24 05:12:19 UTC

公開日時: 2026-04-23 01:17:08 UTC
研究分野
数学