Tangent space: Difference between revisions

From Citizendium
Jump to navigation Jump to search
imported>Natalie Watson
No edit summary
imported>Natalie Watson
Line 11: Line 11:
===Directional derivative===
===Directional derivative===


A ''curve'' on the manifold is defined as a [[differentiable]] map <math>\scriptstyle \gamma: (a,b) \rightarrow M</math>. Let <math>\scriptstyle \gamma(t_0) \, = \, p</math>. If one defines <math>\scriptstyle \mathcal{F}_p</math> to be all the functions <math>\scriptstyle f:M \rightarrow \mathbb{R}^n</math> that are differentiable at the point p, then one can interpret  
A ''curve'' on the manifold is defined as a [[differentiable]] map <math>\scriptstyle \gamma: (-\epsilon,\epsilon) \rightarrow M</math>. Let <math>\scriptstyle \gamma(0) \, = \, p</math>. If one defines <math>\scriptstyle \mathcal{F}_p</math> to be all the functions <math>\scriptstyle f:M \rightarrow \mathbb{R}^n</math> that are differentiable at the point p, then one can interpret  
:<math>\gamma'(t_0): \, \mathcal{F}_p \rightarrow \mathbb{R}</math>
:<math>\gamma'(0): \, \mathcal{F}_p \rightarrow \mathbb{R}</math>
to be an operator such that
to be an operator such that
:<math> \gamma'(t_0)(f) = (f \circ \gamma)'(t_0) = \lim_{h \rightarrow 0} \frac{f(\gamma(t_0+h)) - f(\gamma(t_0))}{h}  </math>
:<math> \gamma'(0)(f) = (f \circ \gamma)'(0) = \lim_{h \rightarrow 0} \frac{f(\gamma(h)) - f(\gamma(0))}{h}  </math>
and is a '''directional derivative''' of f in the direction of the curve <math>\scriptstyle \gamma</math>. This operator can be interpreted as a ''tangent vector''. The tangent space is then the set of all directional derivatives of curves at the point p.
and is a '''directional derivative''' of f in the direction of the curve <math>\scriptstyle \gamma</math>. This operator can be interpreted as a ''tangent vector''. The tangent space is then the set of all directional derivatives of curves at the point p.



Revision as of 14:04, 26 July 2007

The tangent space of a differentiable manifold M is a vector space at a point p on the manifold whose elements are the tangent vectors (or velocities) to the curves passing through that point p. The tangent space at this point p is usually denoted .

The tangent space is necessary for a manifold because it offers a way in which tangent vectors at different points on the manifold can be compared (via an affine connection). If the manifold is a submanifold of , then the tangent space at a point can be thought of as an n-dimensional hyperplane at that point. However, this ambient Euclidean space is unnecessary to the definition of the tangent space.

The tangent space at a point has the same dimension as the manifold, and the union of all the tangent spaces of a manifold is called the tangent bundle, which itself is a manifold of twice the dimension of M.

Definition

Although it is tempting to define a tangent space as a "space where tangent vectors live", without a definition of a tangent space there is no definition of a tangent vector. There are various ways in which a tangent space can be defined, the most intuitive of which is in terms of directional derivatives; the space is the space identified with directional derivatives at p.

Directional derivative

A curve on the manifold is defined as a differentiable map . Let . If one defines to be all the functions that are differentiable at the point p, then one can interpret

to be an operator such that

and is a directional derivative of f in the direction of the curve . This operator can be interpreted as a tangent vector. The tangent space is then the set of all directional derivatives of curves at the point p.

Directional derivatives as a vector space

If this definition is reasonable, then the directional derivatives, must form a vector space of the same dimension as the n-dimensional manifold M. The easiest way to show this is to show that the directional derivatives form a basis of the vector space, and in order to do so, one needs to introduce a coordinate chart (see differentiable manifold).

Let where , be a coordinate chart, and . The most obvious candidates for basis vectors would be the directional derivatives along the coordinate curves, i.e. the i-th coordinate curve would be

where , the 1 being in the i-th position.

The directional derivative along a coordinate curve can be represented as

because

which becomes, via the chain rule,