Tangent vector

Template:Short description Template:For In mathematics, a tangent vector is a vector that is tangent to a curve or surface at a given point. Tangent vectors are described in the differential geometry of curves in the context of curves in Rⁿ. More generally, tangent vectors are elements of a tangent space of a differentiable manifold. Tangent vectors can also be described in terms of germs. Formally, a tangent vector at the point $x$ is a linear derivation of the algebra defined by the set of germs at $x$.

Motivation

Before proceeding to a general definition of the tangent vector, we discuss its use in calculus and its tensor properties.

Calculus

Let $𝐫(t)$ be a parametric smooth curve. The tangent vector is given by ${𝐫}^{\prime }(t)$ provided it exists and provided ${𝐫}^{\prime }(t)\ne \mathrm{𝟎}$, where we have used a prime instead of the usual dot to indicate differentiation with respect to parameter Template:Mvar. The unit tangent vector is given by $$𝐓(t)=\frac{{𝐫}^{\prime }(t)}{|{𝐫}^{\prime }(t)|}.$$

Example

Given the curve $$𝐫(t)=\{(1+t^2,e^{2t},\cos t)\mid t\in ℝ\}$$ in ${ℝ}^3$, the unit tangent vector at $t=0$ is given by $$𝐓(0)=\frac{{𝐫}^{\prime }(0)}{\Vert {𝐫}^{\prime }(0)\Vert }={\frac{(2t,2e^{2t},-\sin t)}{\sqrt{4t^2+4e^{4t}+{\sin }^{2}t}}|}_{t=0}=(0,1,0).$$

Contravariance

If $𝐫(t)$ is given parametrically in the n-dimensional coordinate system Template:Math (here we have used superscripts as an index instead of the usual subscript) by $𝐫(t)=(x^1(t),x^2(t),\dots ,x^n(t))$ or $$𝐫=x^i=x^i(t),a\le t\le b,$$ then the tangent vector field $𝐓=T^i$ is given by $$T^i=\frac{d{x}^i}{dt}.$$ Under a change of coordinates $$u^i=u^i(x^1,x^2,\dots ,x^n),1\le i\le n$$ the tangent vector $\overline{𝐓}={\overline{T}}^i$ in the Template:Math-coordinate system is given by $${\overline{T}}^i=\frac{d{u}^i}{dt}=\frac{\partial u^i}{\partial x^s}\frac{d{x}^s}{dt}=T^s\frac{\partial u^i}{\partial x^s}$$ where we have used the Einstein summation convention. Therefore, a tangent vector of a smooth curve will transform as a contravariant tensor of order one under a change of coordinates.

Definition

Let $f:{ℝ}^n\to ℝ$ be a differentiable function and let $𝐯$ be a vector in ${ℝ}^n$. We define the directional derivative in the $𝐯$ direction at a point $𝐱\in {ℝ}^n$ by $${\mathrm{\nabla }}_{𝐯}f(𝐱)={\frac{d}{dt}f(𝐱+t𝐯)|}_{t=0}=\sum _{i=1}^n{v}_i\frac{\partial f}{\partial x_i}(𝐱).$$ The tangent vector at the point $𝐱$ may then be defined as $$𝐯(f(𝐱))\equiv ({\mathrm{\nabla }}_{𝐯}(f))(𝐱).$$

Properties

Let $f,g:{ℝ}^n\to ℝ$ be differentiable functions, let $𝐯,𝐰$ be tangent vectors in ${ℝ}^n$ at $𝐱\in {ℝ}^n$, and let $a,b\in ℝ$. Then

1. $(a𝐯+b𝐰)(f)=a𝐯(f)+b𝐰(f)$
2. $𝐯(af+bg)=a𝐯(f)+b𝐯(g)$
3. $𝐯(fg)=f(𝐱)𝐯(g)+g(𝐱)𝐯(f).$

Tangent vector on manifolds

Let $M$ be a differentiable manifold and let $A(M)$ be the algebra of real-valued differentiable functions on $M$. Then the tangent vector to $M$ at a point $x$ in the manifold is given by the derivation $D_v:A(M)\to ℝ$ which shall be linear — i.e., for any $f,g\in A(M)$ and $a,b\in ℝ$ we have

$D_v(af+bg)=a{D}_v(f)+b{D}_v(g).$

Note that the derivation will by definition have the Leibniz property

$D_v(f\cdot g)(x)=D_v(f)(x)\cdot g(x)+f(x)\cdot D_v(g)(x).$

See also

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Bibliography

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