• FU-Students only need to register via Campus Management, then they will be automatically registered also in MyCampus/Whiteboard.
• Non-FU-students are required to register via MyCampus/Whiteboard.
• The course material will be distributed via MyCampus/Whiteboard.

Winter Term 2024/2025

Lecturer: Prof. Lucio Galeati,  Prof. Dr. Nicolas Perkowski 

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Time and place

•  Lecture: Wednesdays, 08--10h, SR 046, Takustr. 9, and 
                    Thursdays, 10--12h, SR 046, Takustr. 9.

• Exercise Session: Thursdays, 16--18h, SR 032, Arnimallee 6.

• Oral-Exam:  on Wednesday, February 19^th, 2025, 
                           on Thursday, Frebruary 20^th, 2025, and
                           on Friday, February 21^st, 2025, Time tba
• Second Exam: TBA

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Requirements: Prerequisites are Analysis I-III and Stochastics I and II. Functional analysis is helpful but not required.

Assessment

To receive credits fo the course you need to

• actively participate in the exercise session 
• work on and successfully solve the weekly homework exercises (you need at least 50% of the points, on average, to pass)
• pass the final exam (see above)

Exercises 

Problem sets will be put online every Wednesday and can be found under Assignements in the MyCampus/Whiteboard portal. Solutions (in pairs!) are due on Wednesday of the following week  –  please submit either by uploading the solutions via Whiteboard or by handing them in via email.

Course Overview/ Content:

Announcement video ??

Stochastic analysis is the study of stochastic processes that evolve in continuous time. We will treat the following subjects, among others:
Gaussian processes; Brownian motion, construction and properties; filtrations and stopping times; continuous time martingales; continuous semimartingales; quadratic variation; stochastic integration; Itô’s formula; Girsanov’s theorem and change of measure; time change; martingale representation; stochastic differential equations and diffusion processes, connections with partial differential equations.

References

• Jean-François Le Gall: Brownian motion, martingales, and stochastic calculus. Springer, 2016.
• Ioannis Karatzas and Steven E. Shreve: Brownian motion and stochastic calculus. Springer, 1988.
• Daniel Revuz and Marc Yor: Continuous martingales and Brownian motion. Springer, 3rd edition, 1999.
• Achim Klenke: Probability Theory - A Comprehensive Course. Springer, 2008.
• Peter Mörters and Yuval Peres: Brownian motion. Cambridge University Press, 2010.
• In the Whiteboard system there will also be lecture notes with additional references.