12.1 The Ruler Differential

Let's interpret the differential as a ruler!
Definition.
For any function \( z \depends (x, y) \), the ruler differential of \( z \) is a ruler
\[ \begin{align} \bar{\diff} z &: \Ruler_{(x, y)}. \end{align} \]
The ruler differential, \( \bar{\diff} \), satisfies all abstract differential laws. We interpret the ruler differential of an input variable as a standard ruler:
\[ \begin{align} \bar{\diff} x &= \bar{\standard}_{x} & &\andSpaced & \bar{\diff} y &= \bar{\standard}_{y}. \end{align} \]
We calculate the ruler differential in very much the same way that we calculate the metric differential.
Example.
Let's compute the differential of the function
\[ \begin{align} z &\depends (x, y) \\ z &= \exp (x y) \end{align} \]
as a ruler. We find
\[ \begin{align} \bar{\diff} z &= \bar{\diff} (\exp (x y)) \\ &= \exp (x y) \mult \bar{\diff} (x y) \\ &= \exp (x y) \mult \bigl(y \mult \bar{\diff} x + x \mult \bar{\diff} y\bigr) \\ &= \exp (x y) \mult \bigl(y \mult \bar{\standard}_{x} + x \mult \bar{\standard}_{y}\bigr) \\ &= y \mult \exp (x y) \mult \bar{\standard}_{x} + x \mult \exp (x y) \mult \bar{\standard}_{y}. \end{align} \]
This calculation should be familiar. A similar calculation will show that the metric differential of \( z \) is
\[ \begin{align} \hat{\diff} z &= y \mult \exp (x y) \mult \hat{\standard}_{x} + x \mult \exp (x y) \mult \hat{\standard}_{y}. \end{align} \]
We can localize the ruler differential at any point \( p : \Point_{(x, y)} \) in the coordinate plane.
Example.
The bowl
\[ \begin{align} z &\depends (x, y) \\ z &= x^2 + y^2 \end{align} \]
has differential
\[ \begin{align} \bar{\diff} z &= 2 x \mult \bar{\standard}_{x} + 2 y \mult \bar{\standard}_{y}. \end{align} \]
Localizing at the point \( p = (-1, 1) \), we find the ruler
\[ \begin{align} \bar{\diff} z &= -2 \mult \bar{\standard}_{x} + 2 \mult \bar{\standard}_{y}. \end{align} \]
Let's plot the ruler differential from the previous example. We see some similarity when comparing this ruler to a contour map for the bowl. Near \( p \), the markings of the differential resemble the contours of the bowl.
The differential is a best fit ruler!