
arXiv: math/9803154
We formulate a more conceptual interpretation of the Cappell-Lee-Miller glueing/splitting theorem using the new language of asymptotic maps and asymptotic exactness. Additionally, we present an asymptotic description of the Mayer-Vietoris sequence naturally associated to the Cech cohomology of the sheaf of local solutions of a Dirac type operator. We discuss applications to eigenvalue estimates, approximation of obstruction bundles and glueing of determinant line bundles frequently arising in gauge theoretic problems. The operators involved in all these results need not be translation invariant.
Latex 2.09 with macro sec.sty (included), 26 pages, 1 figure
Mathematics - Differential Geometry, Spectral flows, Applications of global analysis to structures on manifolds, Differential Geometry (math.DG), Dirac operator, asymtoptic maps exact sequences, FOS: Mathematics, gluing, small eigenvalues, Perturbations of PDEs on manifolds; asymptotics, 58G03, 58G18
Mathematics - Differential Geometry, Spectral flows, Applications of global analysis to structures on manifolds, Differential Geometry (math.DG), Dirac operator, asymtoptic maps exact sequences, FOS: Mathematics, gluing, small eigenvalues, Perturbations of PDEs on manifolds; asymptotics, 58G03, 58G18
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
