Unit I
Fourier series and integrals – Definitions and easy results – The Fourier transform – Convolution – Approximate identities – Fejer’s theorem – Unicity theorem – Parselval relation – Fourier Stieltjes Coefficients – The classical kernels.
Course Name | Harmonic Analysis |
Course Code | 24MAT437 |
Program | 5 Year Integrated MSc/ BSc. (H) in Mathematics with Minor in Data Science |
Semester | Elective |
Credits | 3 |
Campus | Amritapuri |
Fourier series and integrals – Definitions and easy results – The Fourier transform – Convolution – Approximate identities – Fejer’s theorem – Unicity theorem – Parselval relation – Fourier Stieltjes Coefficients – The classical kernels.
Summability – Metric theorems – Pointwise summability – Positive definite sequences – Herglotz;s theorem – The inequality of Hausdorff and Young.
The Fourier integral – Kernels on R. The Plancherel theorem – Another convergence theorem – Poisson summation formula – Bachner’s theorem – Continuity theorem.
Characters of discrete groups and compact groups – Bochners’ theorem – Minkowski’s theorem.
Hardy spaces- Invariant subspaces – Factoring F and M. Rieza theorem – Theorems of Szego and Beuoling.
Text Book: Henry Helson, Harmonic Analysis, Hindustan Book Agency, Chapters 1.1 to 1.9,
to 3.5 and 4.1 to 4.3.
CO1- Understand the general concept of weak solution and the criterion of having weak solution for hyperbolic equation.
CO2- Able to model the basic diffusion processes and understand the mathematical methods that are useful in studying the structure of their solutions.
CO3-Understand the existence and uniqueness of traveling wave solutions solutions.
CO4-Understand the concept of nonlinear eigenvalue problem the stability of equilibrium solutions for reaction-diffusion equation.
CO5-Understand the formulation of system of PDEs and their applications.
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