What is a derivative? Building a geometric intuition
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The world around us is always changing. Cars drive along the highway, we get older, and temperatures fluctuate. Measuring the rate of change is tricky, as it always requires two points, an interval. I can only measure the change between two points. What if we can measure change at a single instant?
The previous post in this series built a graphical understanding of derivatives as a rate of change over arbitrarily small intervals. This article will explore the d notation as a representation of a very small change. I like to think of this d as “delta” or “difference”.
Note: This post assumes that you have read the previous one in the series. If not, feel free to have a quick look before reading on.
We can define
History of the notation
The
Let’s say that we have a simple relationship:
The derivative of this function would be the rate of change of that function at a single point. If that sounds confusing, go back to part one. Once you have read part one, find the derivative of this function using the rate of change method.
A fancy rate of change
We can also define the derivative of a function as the relation between a small change in
Looking at this fraction, the numerator computes the change in the value of
Using the
The numerator is a small change in the function value
So far, so good. This is just the rate of change with fancy notation. Now, let’s use this notation to differentiate the function we started with:
We now add a very small change to both sides,
We have just differentiated
Getting geometric
The title mentioned “Geometric Intuition” and so far we have just covered mathematical notation and some algebra. We are now getting to the geometry of it. Let’s take another function:
Here,
Let’s draw this square:

What happens when I increase
This is shown in the picture below:

As you can see, the total area (
Each
As we are only interested in the change in area
As
We have successfully differentiated
Some practice
To test your understanding, try differentiating the following functions with the
Final Thoughts
This notation is not only notation for the sake of more notation, it is another approach to the problem of derivatives, to understanding how things change. It encourages us to think in small changes, which is critical for more advanced applications of derivatives; such as Machine Learning or Optimisation. It is all about understanding how small changes (
It is one more step in trying to understand the cause of our actions and make sense of the complex reality around us.