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數學
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分歧理論

2025-02-19-2040-12-31

國立清華大學 數學系 戴佳原

關鍵字: 分歧理論



課程說明
Course Description
We will study differential equations from the perspective of dynamical systems, focusing on qualitative analysis of phase portraits. Bifurcation theory aims to analyze how topological changes in phase portraits occur as parameters vary. This theory has various applications, including but not limited to engineering (e.g.,
beam buckling), biology (e.g., disease spread), chemistry (e.g., oscillatory reactions), physics (e.g., phase transitions), and climatology (e.g., global warming).



課程目標
Course Objectives

1.Become proficient in studying differential equations from the perspective of dynamical systems.
2.Master qualitative analysis and rigorously apply concepts in bifurcation theory, such as center manifolds,
normal forms, and various reduction techniques.
3.Explore the historical development and significant applications of dynamical systems
and differential equations.



參考用書
References (not textbooks, sorted alphabetically)

1.S. N. Chow and J. K. Hale: Methods of Bifurcation Theory, Springer (1982).
2.B. Fiedler: Global Bifurcation of Periodic Solutions with Symmetry, Springer (1988).
3.M. Golubitsky and I. Stewart: The Symmetry Perspective, Springer, Birkhäuser (2002).
4.J. Guckenheimer and P. Holmes: Nonlinear Oscillations,
Dynamical Systems, and Bifurcations of Vector Fields, Springer (1983).
5.Y. Kuznetsov: Elements of Applied Bifurcation Theory, Springer (1995).
6.S. Liebscher: Bifurcation without Parameters, Springer (2014).
7.A. Vanderbauwhede: Center Manifolds, Normal Forms and Elementary Bifurcations,
in Dynamics Reported Volume 2, John Wiley & Sons (1989).




教學進度
Course schedule

WeekDateContent
102/19Flows and differential equations; 
Transformation of vector fields
202/26Linear autonomous ODEs; 
Example: Poincaré diagram; 
Flow-box theorem
303/05Stable manifolds and unstable manifolds
403/12Center manifolds (applications)
503/19Center manifolds (proof)
603/26Normal forms
704/02# School Activity Day (No Make-Up Classes)
804/09Equivariant normal form theorem;
Procedure of local bifurcation analysis
904/16Example: Planar Hopf bifurcation;
Example: Takens-Bogdanov bifurcation
1004/23Lyapunov-Schmidt reduction;
Stationary bifurcation
1104/30Example: Euler's rod;
Equivariant Lyapunov-Schmidt reduction
1205/07Stationary symmetry breaking bifurcation; 
Example: Semilinear elliptic equations
1305/14Hopf bifurcation
1405/21Reversible Hopf bifurcation; 
Equivariant Hopf bifurcation
1505/28Introduction of bifurcation without parameters;
Example: Transcritical bifurcation without parameters 
1606/04Final Exam



評分標準
Grading Criteria
 

Homework 70 %, final exam 30 %



注意事項 
Important Notice

 Plagiarism in assignments and cheating in exams are strictly prohibited in this course.
If substantial evidence confirms plagiarism in assignments or cheating in exams,the semester grade will be recorded as zero.


生成式人工智慧倫理聲明
Generative AI Ethics Statement

This course allows students to use generative AI in their learning process, but be aware
that generative AI still contains many errors and may affect the understanding of fundamental core knowledge. When using generative AI, students must adhere to the ethical guidelines provided in the course.





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