AX26-STAT-302 · 2026-27
Stochastic Differential Equations
从布朗运动与伊藤积分出发,学习伊藤公式和随机微分方程。
- 预计学习
- 150 小时
- 层次
- 研究生层次
- 主题
- 6
课程内容
- 01Brownian motion
- 02Itô integral
- 03Itô’s formula
- 04SDEs: existence and uniqueness (taught grain)
- 05Linear SDEs and examples
- 06Synthesis
查看详细大纲与学习目标
模块目标
Manipulate Itô integrals and apply Itô’s formula in examples the syllabus licenses, without treating every formal SDE as a pathwise ODE.
课程大纲
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01 Brownian motion 25h
学习结果 State defining properties used in the synopsis and a non-differentiability caveat.
形成性检查 四选一检查
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02 Itô integral 25h
学习结果 Construct the integral on simple processes and name the isometry used.
形成性检查 书面推导
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03 Itô’s formula 25h
学习结果 Apply Itô’s formula to a standard function of Brownian motion.
形成性检查 书面推导
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04 SDEs: existence and uniqueness (taught grain) 25h
学习结果 State Lipschitz-type hypotheses and a case where they fail.
形成性检查 反例
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05 Linear SDEs and examples 25h
学习结果 Solve a linear SDE that the syllabus treats in closed form.
形成性检查 书面推导
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06 Synthesis 25h
学习结果 Write one argument: model, Itô step, and a uniqueness or interpretation caveat.
形成性检查 书面推导
学习结果
Write an SDE, name the noise, apply Itô’s formula in a standard example, and state an existence/uniqueness hypothesis.
学科技能
Brownian motion, filtrations at taught grain, Itô integral, Itô formula, linear SDEs.
可迁移技能
Distinguish formal calculus from justified stochastic calculus; keep filtration and quadratic variation in view.
