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Dec 13 2010:
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This week: our final exam at 1:30 on Thursday in our usual classroom. Special pre-exam office hours: Tuesday, 11-1, Wednesday, 1-3, and Thursday, 11-1.

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Home Page for Math 556

Textbook:

Applied Functional Analysis, by D. H. Griffel, Dover Publications, Mineola, New York, 2002.

Class Meetings:

Tuesdays and Thursdays 11:40 AM - 1 PM in 3088 East Hall.

Office hours:

Tuesdays, Wednesdays, and Thursdays, 1-2 PM.

Grading and Course Policies:

Students will be evaluated on the basis of
Schedule
Week Meeting Date In Class Homework
Week 1 Lecture 1 Tuesday, September 7 Course Introduction. Initial and boundary value problems for partial differential equations as models for physical processes.
Lecture 2 Thursday, September 9 Chapter 1. The Dirac delta "function". Basic distribution theory. Test functions. Regular and singular distributions.
Week 2 Lecture 3 Tuesday, September 14 Comparison of distributions and functions: equality of distributions on open sets and approximation of distributions by smooth functions. Basic operations with distributions: (i) linear combinations, (ii) products of smooth functions and distributions, (iii) translations of distributions, (iv) dilations of distributions, (v) differentiation of distributions.
Lecture 4 Thursday, September 16 Convergence of distributions. Distributions describing the regularization of divergent integrals.
Week 3 Lecture 5 Tuesday, September 21 Review of classical Fourier series. Orthogonality of harmonics, formula for Fourier coefficients, Bessel's inequality, and smoothness of a function versus decay of its Fourier coefficients. Uniform convergence of Fourier series with rapidly decaying coefficients (to something...).  
Lecture 6 Thursday, September 23 Classical Fourier series, continued. Pointwise and uniform convergence of the Fourier series of a continuous and piecewise smooth function to the function itself. Distributional Fourier series and the Poisson summation formula.
Week 4 Lecture 7 Tuesday, September 28 Chapter 2. Introduction to differential equations in distributions. Formal adjoints. Distributional, weak, and classical solutions of linear differential equations. The simplest differential equation: u'=f. Homework Set 1 Due
Lecture 8 Thursday, September 30 Introduction to Green's functions and fundamental solutions. Boundary value problems in one dimension.
Week 5 Lecture 9 Tuesday, October 5 The classical formulation of Green's function for one-dimensional problems. Conditions for existence of Green's functions.  
Lecture 10 Thursday, October 7 Use of Green's functions to solve inhomogeneous problems. Techniques for finding Green's functions (subtracting a fundamental solution, the method of images).
Week 6 Lecture 11 Tuesday, October 12 Chapter 3. The classical theory of Fourier transforms. Homework Set 2 Due
Lecture 12 Thursday, October 13 Distributions of slow growth (AKA tempered distributions). Generalized Fourier transforms. Applications to partial differential equations.  
Week 7   Tuesday, October 19 FALL BREAK  
Lecture 13 Thursday, October 21 Applications continued. The Poisson and wave equations.  
Week 8 Lecture 14 Tuesday, October 26 Chapter 4. Basic concepts of vector spaces. Normed linear spaces. Examples. Homework Set 3 Due
Lecture 15 Thursday, October 28

Topological notions. Convergence and completeness. Equivalence of norms. Banach spaces.

MIDTERM EXAM: 6-8 PM, 4096 East Hall

 
Week 9 Lecture 16 Tuesday, November 2 Chapter 5. Introduction to fixed point equations on vector spaces. Examples: root finding, initial-value problems for ODE, boundary-value problems for PDE.  
Lecture 17 Thursday, November 4 The method of successive approximations and the Contraction Mapping Theorem. Applications. Newton's Method. Picard iteration.
Week 10 Lecture 18 Tuesday, November 9 Applications of contraction mappings continued. Solution of boundary-value problems for partial differential equations by using the "wrong" Green's function. Neumann series for linear operator inverses. Take-home Midterm Due
Lecture 19 Thursday, November 11 Chapter 7. Inner product spaces. Hilbert spaces. Orthogonal bases and generalized Fourier series.
Week 11 Lecture 20 Tuesday, November 16 Examples of Hilbert spaces. Orthogonal expansions. The generalized Bessel inequality and Parseval's Theorem. Homework Set 4 Due
Lecture 21 Thursday, November 18 The Riesz-Fischer Theorem and uniqueness of Hilbert space. The Gram-Schmidt process. Subspaces and projections.
Week 12 Lecture 22 Tuesday, November 23 Proof of the Projection Theorem and best approximation by generalized Fourier series. Linear functionals and the Riesz Representation Theorem. Homework Set 5 Due
Thursday, November 25 THANKSGIVING BREAK
Week 13 Lecture 23 Tuesday, November 30 Weak convergence in Hilbert space.  
Lecture 24 Thursday, December 2 Chapter 8. The algebra of bounded operators on normed spaces. The space of bounded operators as a normed linear space.
Week 14 Lecture 25 Tuesday, December 7 Operator power series and examples. Adjoints and selfadjoint operators. Eigenvalue problems and Sturm-Liouville theory. Compact operators.  
Lecture 26 Thursday, December 9 Chapter 9. The Spectral Theorem for compact selfadjoint operators. Application to Sturm-Liouville problems. Homework Set 6 Due
Week 15   Thursday, December 16 FINAL EXAM