Tangent, Normal, Binormal Vectors - Applications of Vector Functions

Tangent, Normal, Binormal Vectors
The derivative, f′(x), of a function f(x) represented the slope of the tangent line in single variable calculus.
In multivariable calculus, vector functions, r(t), have a derivative, r′(t), called the tangent vector.
Therefore, the tangent line to r(t) at P(x0,y0,z0) is the line passing through the point P and is parallel to the tangent vector.
Suppose that r(t) is a vector and
- ∣r(t)∣=k, k∈ℜ
- r′(t) is orthogonal to r(t)
The unit tangent vector is defined as:
The unit normal vector is defined as:
The binormal vector is defined as:
Let us take a look:


Example
Find the vector equation of the tangent line to the curve given by r(t)=3t3i+4costj+4sintk and t=6π.
We need a point at t=6π and we need a "slope" (i.e. a vector tangent to r(t) which is r′(t) at t=6π.
The point:
The vector tangent r′(t):
The equation of the tangent line is:

Example
Find the tangent line, A(t), to the function r(t)=<9et+5, 2lnt, −t+1> at t=1.
We need a point at t =1 and a tangent vector at t = 1. First, find the point:
The tangent vector:
So, the tangent line is: