Parallelization (mathematics)

In mathematics, a parallelization[1] of a manifold M\, of dimension n is a set of n global linearly independent vector fields.

Formal definition

Given a manifold M\, of dimension n, a parallelization of M\, is a set \{X_1, \dots,X_n\} of n vector fields defined on all of M\, such that for every p\in M\, the set \{X_1(p), \dots,X_n(p)\} is a basis of T_pM\,, where T_pM\, denotes the fiber over p\, of the tangent vector bundle TM\,.

A manifold is called parallelizable whenever admits a parallelization.

Examples

Properties

Proposition. A manifold M\, is parallelizable iff there is a diffeomorphism \phi \colon TM \longrightarrow M\times {\mathbb R^n}\, such that the first projection of \phi\, is \tau_{M}\colon TM \longrightarrow  M\, and for each p\in M\, the second factor—restricted to T_pM\,—is a linear map \phi_{p} \colon T_pM \rightarrow {\mathbb R^n}\,.

In other words, M\, is parallelizable if and only if \tau_{M}\colon TM \longrightarrow  M\, is a trivial bundle. For example suppose that M\, is an open subset of {\mathbb R^n}\,, i.e., an open submanifold of {\mathbb R^n}\,. Then TM\, is equal to M\times {\mathbb R^n}\,, and M\, is clearly parallelizable.[2]

See also

Notes

References

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