We think about the derivative of vector-valued functions.
Work in groups of 3–4, writing your answers on a separate sheet of paper.
Previously in calculus course you learned the following metaphor for the derivatives:
Given a function \(f:\R \to \R \), the derivative of \(f\) is the slope of the tangent line at any point on the graph \(y = f(x)\).
This is really a great metaphor for functions that map from \(\R \) to \(\R \). However, now we are studying vector-valued functions. A new metaphor is needed:
Given a vector-valued function \(\vec {f}:\R ^n\to \R \), the derivative of \(\vec {f}\) is a tangent vector at any point on the graph of \(\vec {f}\).
Let’s see if we can figure what this is saying.
1 Lines
Suppose you have a line given by the vector valued function \(\vecl \).
2 Circles
The a circle of radius \(2\) centered at \((3,1\) is given by
and here is a plot:
3 Projectile motion
Vector-valued functions are excellent for modeling projectile motion. The function below models the path of a calculus book being thrown from an initial height of \(1\unit {m}\) at an initial velocity of \(5\unit {m}/{s}\) at a \(45^\circ \) angle:
For your viewing pleasure here is a plot:
4 The moral of the story
The moral of the story is this: When studying, functions from \(\R \) to \(\R \), it makes a lot of sense to plot their derivatives. When dealing with vector-valued functions, plotting their derivatives might not be the best idea. Instead you should be plotting tangent vectors.