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Difference between revisions of "Distribution of tangent subspaces"

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''Distribution'' on a smooth manifold is a collection of subspaces of the tangent spaces T_a M, which depends in a regular way (smooth, analytic etc.) on the ''base point'' a\in M. In particular, the dimension of all subspaces should be constant (the ''dimension", sometimes the ''rank'' of the distribution). If the regularity fails on a small subset \varSigma\subset M, one sometimes says about ''singular distribution'' with the ''singular locus'' \varSigma.
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''Distribution'' on a smooth manifold is a collection of subspaces L_a\subseteq T_aM of the tangent spaces T_a M, which depends in a regular way (smooth, analytic etc.) on the ''base point'' a\in M. In particular, the dimension of all subspaces should be constant (the ''dimension'', sometimes the ''rank'' of the distribution). If the regularity fails on a small subset \varSigma\subset M, one sometimes says about ''singular distribution'' with the ''singular locus'' \varSigma.
  
 
One-dimensional distributions with \dim L_a=1 are sometimes called the ''line fields''.
 
One-dimensional distributions with \dim L_a=1 are sometimes called the ''line fields''.

Revision as of 12:11, 3 May 2012

Distribution on a smooth manifold is a collection of subspaces L_a\subseteq T_aM of the tangent spaces T_a M, which depends in a regular way (smooth, analytic etc.) on the base point a\in M. In particular, the dimension of all subspaces should be constant (the dimension, sometimes the rank of the distribution). If the regularity fails on a small subset \varSigma\subset M, one sometimes says about singular distribution with the singular locus \varSigma.

One-dimensional distributions with \dim L_a=1 are sometimes called the line fields.

Definitions

In formal terms, a distribution is a subset of the tangent bundle TM, which itself has the inherited structure of the vector bundle over M. Usually the cases of 0-dimensional and n-dimensional subspaces are excluded from consideration.

If v_1,\dots,v_k are vector fields on M, their span is a distribution provided that the rank of the tuple of fields is constant over all points of m. A single vector field v defines a line field (distribution of rank 1) over the set of points M\smallsetminus\varSigma of its nonzero values, where \varSigma=\{a\in M:\ v(a)=0\}.

If \xi_1,\dots,\xi_l\in\Lambda^1(M) are differential 1-forms on M, then their common null spaces \bigcup_i\operatorname{Ker}\xi_i is a distribution provided that the rank of the tuple of forms is constant over all points of M.

Integrability of distributions

A distribution L=\{L_x\} of rank k, 0<k<n, is called integrable in a domain U\subseteq M, if through each point a\in M passes the germ of a k-dimensional submanifold N_a=N which is tangent to the distribution: \forall x\in N\ L_x=T_xN\subset T_xM.

Example. Each vector field defines an integrable distribution outside of its zero locus: the 1-dimensional submanifold (curve) through a point a is the integral curve of v with the initial condition at this point.

Frobenius integrability theorem. A distribution spanned by a tuple of vector fields v_1,\dots,v_k over the set where their rank is k, is integrable if and only if their commutators belong to the span: \forall i,j\quad [v_i,v_j]=\sum_{s=1}^k \varphi_{ijs} v_s with suitable functions \varphi_{ijs}.

A distribution spanned by a tuple of 1-forms \xi_1,\dots,\xi_k is integrable if and only if \rd \xi_i=\sum_{s=1}^k\eta_{is}\land\xi_s with suitable 1-forms \eta_{is}.

How to Cite This Entry:
Distribution of tangent subspaces. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Distribution_of_tangent_subspaces&oldid=25884