Difference between revisions of "Distribution of tangent subspaces"
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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 | + | ''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 $\eta_{is}$.
Distribution of tangent subspaces. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Distribution_of_tangent_subspaces&oldid=25889