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| | [No title] (Site not responding. Last check: 2007-10-08) |
 | | define linear operators, their spectrum (with matrices serving as examples) and their spectral radius, derive spectral radius theorem, understand the definitions of self-adjoint, isometric, unitary and normal operators on Hilbert spaces and their spectra, be able to apply these ideas to matrices, understand integral operators as examples of linear operators. |
 | | Linear operators, invertibility, spectrum, spectral radius, spectral radius theorem, self-adjoint, isometric, unitary and normal operators on Hilbert spaces and their spectra, applications to matrices, integral operators. |
 | | Models, diagrams, preservation theorems, Löwenheim-Skølem theorems, partial isomorphisms, elimination of quantifiers, countable categoricity, types, key examples which will be explored and used for illustration include: the random graph; the rationals as a partially ordered set; the reals as an ordered field. |
| www.ma.man.ac.uk /ug/OldFile_s4sem2.htm (4551 words) |
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