Spring 2002, MWF 2:30-3:20
Spectral
sequences are a powerful computational and theoretical tool in algebra,
topology, and category theory.
In
this course I will discuss the basics of spectral sequences--how they arise and
how they work--and I'll discuss many examples. The (essentially useless)
definition of a spectral sequence is: a spectral sequence is a
sequence of chain complexes Er, for r > 0, so
that
It is more helpful to think
of a spectral sequence as a sort of black box, relating two algebraic objects
(vector spaces or algebras, typically) to each other--one object is the input,
the other is the output, and the spectral sequence is the
complicated relationship between the two. The input is the E1-term,
and the Er-terms for r > 1 interpolate between
the input and the output, converging to the output as r
approaches infinity.
Topics will include:
Depending on the interests and background of the audience
(and the lecturer), I can discuss other examples of spectral sequences from
algebraic topology (e.g., the Eilenberg-Moore spectral sequence) or
algebra/category theory (e.g., the composite functor spectral sequence). If you
are interested in taking the course and would like to see specific spectral
sequences, please let me know.
I will assume that you are comfortable with chain complexes,
homology, and exact sequences; I will provide the topological or algebraic
background for the various examples, as necessary.
To the extent that I use a book, it will probably be A User's Guide to Spectral Sequences by John M