Michel Waldschmidt

Université Pierre et Marie Curie  Paris 6 , UFR 929


Master of Science in Mathematics,
Royal University of Phnom Penh (URPP - Université Royale de Phnom Penh).
Centre International de Mathématiques Pures et Appliquées CIMPA

Coopération Mathématique Interuniversitaire Cambodge France,
Master Training Program
Phnom Penh, September 27 - October 20, 2010

Cambodge

From September 27 to October 19, 2010:
    Master of Science in Mathematics, Royal University of Phnom Penh (URPP - Université Royale de Phnom Penh).
    CIMPA Master Training Program.

Linear Algebra:

    1. LINEAR EQUATIONS
        Introduction. Elementary Row Operations. Row Echelon Form. Reduced Row Echelon Form. Solving a System of Linear Equations. Homogeneous Systems. Application to Network Flow. Application to Electrical Networks. Application to Economics. Application to Chemistry. Application to Mechanics.
    2. MATRICES
        Introduction. Systems of Linear Equations. Inversion of Matrices. Application to Matrix Multiplication. Finding Inverses by Elementary Row Operations. Criteria for Invertibility. Consequences of Invertibility. Application to Economics. Matrix Transformation on the Plane. Application to Computer Graphics. Complexity of a Non-Homogeneous System. Matrix Factorization. Application to Games of Strategy.
    3. DETERMINANTS
        Introduction. Determinants for Squares Matrices of Higher Order. Some Simple Observations. Elementary Row Operations. Further Properties of Determinants. Application to Curves and Surfaces. Some Useful Formulas. Further Discussion.
    4. VECTORS
        Introduction. Vectors in 2-Space. Vectors in 3-Space. Vector Products. Scalar Triple Products. Application to Geometry in 3-Space. Application to Mechanics.
    5. INTRODUCTION TO VECTOR SPACES
        Real Vector Spaces. Subspaces. Linear Combination. Linear Independence. Basis and Dimension.
    6. VECTOR SPACES ASSOCIATED WITH MATRICES
        Introduction. Row Spaces. Column Spaces. Rank of a Matrix. Nullspaces. Solution of Non-Homogeneous Systems.
    7. EIGENVALUES AND EIGENVECTORS
        Introduction. The Diagonalization Problem. Some Remarks. An Application to Genetics.
    8. LINEAR TRANSFORMATIONS
        Euclidean Linear Transformations. Linear Operators on the Plane. Elementary Properties of Euclidean Linear Transformations. General Linear Transformations. Change of Basis. Kernel and Range. Inverse Linear Transformations. Matrices of General Linear Transformations. Change of Basis. Eigenvalues and Eigenvectors.
    9. REAL INNER PRODUCT SPACES
        Euclidean Inner Products. Real Inner Products. Angles and Orthogonality. Orthogonal and Orthonormal Bases. Orthogonal Projections.
    10. ORTHOGONAL MATRICES
        Introduction. Eigenvalues and Eigenvectors. Orthonormal Diagonalization.
    11. APPLICATIONS OF REAL INNER PRODUCT SPACES
        Least Squares Approximation. Quadratic Forms. Real Fourier Series.
    12. COMPLEX VECTOR SPACES
        Complex Inner Products. Unitary Matrices. Unitary Diagonalization.
    Reference:
    WWL Chen, Linear Algebra
    Further references:
    Jim Hefferon, Linear Algebra
    Edwin H. Connell, Elements of Abstract and Linear Algebra.
    Keith Matthews, Elementary Linear Algebra
    Alex Postnikov, Linear Algebra.

Control exams
    First assignment, October 1, 2010.
    Second assignment, October 11, 2010.
    Final exam, October 20, 2010.

Introduction to real analysis:

    1. The Real Numbers
        The Real Number System. Mathematical Induction. The Real Line.
    2 Differential Calculus of Functions of One Variable
        Functions and Limits. Continuity. Differentiable Functions of One Variable. L’Hospital’s Rule. Taylor’s Theorem.
    3. Integral Calculus of Functions of One Variable
        Definition of the Integral. Existence of the Integral. Properties of the Integral. Improper Integrals. A More Advanced Look at the Existence of the Proper Riemann Integral
    4 Infinite Sequences and Series
        Sequences of Real Numbers. Earlier Topics Revisited With Sequences. Infinite Series of Constants. Sequences and Series of Functions. Power Series.
    5. Real-Valued Functions of Several Variables
        Structure of R^n. Continuous Real-Valued Function of n Variable. Partial Derivatives and the Differential. The Chain Rule and Taylor’s Theorem.
    6. Vector-Valued Functions of Several Variables
        Linear Transformations and Matrices. Continuity and Differentiability of Transformations. The Inverse Function Theorem. The Implicit Function Theorem.
    7. Integrals of Functions of Several Variables
        Definition and Existence of the Multiple Integral. Iterated Integrals and Multiple Integrals. Change of Variables in Multiple Integrals.
    8 Metric Spaces
        Introduction to Metric Spaces. Compact Sets in a Metric Space. Continuous Functions on Metric Spaces
Reference:
    William Trench, Introduction to real analysis.

Control exams


    First assignment , October 1, 2010.
    Second assignment , October 11, 2010.
    Final exam , October 20, 2010.

Report on my visit - Rapport de mission

report in English on my visit to Cambodia, rapport en français de ma visite au Vietnam.