Determinant lines, von Neumann algebras and $L^2$ torsion

Mathematics – Differential Geometry

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

AMSTex, 27 pages

Scientific paper

In this paper, we suggest a construction of determinant lines of finitely generated Hilbertian modules over finite von Neumann algebras. Nonzero elements of the determinant lines can be viewed as volume forms on the Hilbertian modules. Using this, we study both $L^2$ combinatorial and $L^2$ analytic torsion invariants associated to flat Hilbertian bundles over compact polyhedra and manifolds; we view them as volume forms on the reduced $L^2$ homology and cohomology. These torsion invariants specialize to the the classical Reidemeister-Franz torsion and the Ray-Singer torsion in the finite dimensional case. Under the assumption that the $L^2$ homology vanishes, the determinant line can be canonically identified with $\R$, and our $L^2$ torsion invariants specialize to the $L^2$ torsion invariants previously constructed by A.Carey, V.Mathai and J.Lott. We also show that a recent theorem of Burghelea et al. can be reformulated as stating equality between two volume forms (the combinatorial and the analytic) on the reduced $L^2$ cohomology.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Determinant lines, von Neumann algebras and $L^2$ torsion does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Determinant lines, von Neumann algebras and $L^2$ torsion, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Determinant lines, von Neumann algebras and $L^2$ torsion will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-550458

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.