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Concept
Stable vector bundle
Summary
In mathematics, a stable vector bundle is a (holomorphic or algebraic) vector bundle that is stable in the sense of geometric invariant theory. Any holomorphic vector bundle may be built from stable ones using Harder–Narasimhan filtration. Stable bundles were defined by David Mumford in and later built upon by David Gieseker, Fedor Bogomolov, Thomas Bridgeland and many others.
One of the motivations for analyzing stable vector bundles is their nice behavior in families. In fact, Moduli spaces of stable vector bundles can be constructed using the Quot scheme in many cases, whereas the stack of vector bundles is an Artin stack whose underlying set is a single point.
Here's an example of a family of vector bundles which degenerate poorly. If we tensor the Euler sequence of by there is an exact sequencewhich represents a non-zero element since the trivial exact sequence representing the vector isIf we consider the family of vector bundles in the extension from for , there are short exact sequenceswhich have Chern classes generically, but have at the origin. This kind of jumping of numerical invariants does not happen in moduli spaces of stable vector bundles.
A slope of a holomorphic vector bundle W over a nonsingular algebraic curve (or over a Riemann surface) is a rational number μ(W) = deg(W)/rank(W). A bundle W is stable if and only if
for all proper non-zero subbundles V of W
and is semistable if
for all proper non-zero subbundles V of W. Informally this says that a bundle is stable if it is "more ample" than any proper subbundle, and is unstable if it contains a "more ample" subbundle.
If W and V are semistable vector bundles and μ(W) >μ(V), then there are no nonzero maps W → V.
Mumford proved that the moduli space of stable bundles of given rank and degree over a nonsingular curve is a quasiprojective algebraic variety. The cohomology of the moduli space of stable vector bundles over a curve was described by using algebraic geometry over finite fields and using Narasimhan-Seshadri approach.
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