Learning objectives
Introduction to modern Mathematical Analysis
Prerequisites
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Course unit content
L^p spaces<br />
Convolution and smoothing, density theorems; <br />
The Frechet-Kolmogorov compactness theorem <br />
<br />
Compact operators<br />
The Fredholm alternative<br />
Spectral decompositions of self-adjoint compact operators<br />
<br />
Distributions<br />
Test functions, convergence of distributions, derivatives<br />
<br />
Sobolev Spaces in dim=1 <br />
Extension operators; density theorems; imbedding theorems;<br />
weak formulation of boundary value problems; <br />
eigenfunctions of Sturm-Liouville problem<br />
<br />
Sobolev Spaces in dim >1 <br />
Approximation by smooth functions: Friedrichs theorem; <br />
coordinates transformations, <br />
extension operators; density theorems; <br />
Sobolev inequality; <br />
imbedding theorems; compactness properties. <br />
<br />
Weak formulation of elliptic boundary value problems; <br />
H^2 regularity; <br />
maximum principle; <br />
eigenfunctions and spectral decomposition
Full programme
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Bibliography
H. Brezis, Analisi funzionale, Liguori Editore <br />
L.C. Evans, Partial Differential Equations, American Mathematical Society
Teaching methods
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Assessment methods and criteria
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Other information
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