Exponential Functions (HSC SSCE Mathematics Advanced): Revision Notes
Investigation: Differentiation of Exponential Functions
This investigation explores one of the most remarkable properties in mathematics: Euler's number is the unique base for which an exponential function is its own derivative. Through numerical and graphical methods, you will discover why and understand what makes so special compared to other exponential functions.
Learning objectives
This investigation aims to help you develop understanding in three key areas. First, you will estimate the limit for various positive values of using technology, discovering that this limit equals 1 when . Second, you will derive and verify that , confirming that is unique in this property. Finally, you will use graphing software to visualise that is its own derivative and compare this behaviour with other exponential functions.

Exploring the limit
The special nature of Euler's number becomes apparent when we examine the derivative of exponential functions. For any exponential function , the derivative involves a particular limit that determines how quickly the function grows. This limit is , and it represents the gradient (slope) of the curve at the point where .
Understanding why this limit matters requires thinking about what differentiation means. When we differentiate, we measure the instantaneous rate of change. For exponential functions with different bases, this rate of change varies. The remarkable discovery is that when the base equals approximately 2.71828 (which is ), this limit equals exactly 1, creating a perfect simplification in the derivative formula.
The limit is not just a mathematical curiosity—it represents the gradient of the exponential curve at the origin (). This value determines the "steepness factor" that appears in the derivative formula. When this limit equals 1, the derivative simplifies beautifully.
Conducting the spreadsheet investigation
A systematic numerical approach reveals the pattern. Set up your spreadsheet to test different base values and observe how the limit behaves as becomes very small.
Step 1: Create a row with different base values. Enter values for including 2, 2.71828 (approximately ), and 3 in separate columns (for example, in cells B1, C1, and D1).
Step 2: In a column, list progressively smaller values of . Use values such as:
Step 3: Calculate the expression for each combination of and . For instance, if your base value is in cell B1 and your value is in cell A2, you would enter the formula in cell B2. Copy this formula across and down to fill your table with values for all combinations.
Step 4: Observe and record the values in each column as approaches 0. Notice how the values stabilise (approach a limit) for each base .
Step 5: Pay special attention to the column where . Verify that the limit approaches 1. This observation is crucial because it suggests that this particular base value makes the derivative formula especially simple.
As you complete your spreadsheet calculations, watch carefully for the column where . You should observe that as gets smaller, the values converge to 1. This is the key discovery that makes special—no other base will produce a limit of exactly 1.
Investigation questions
Consider these questions to deepen your understanding:
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What are the approximate limits for , , and ? Compare these values and note the pattern.
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Why does yield a limit of 1? How does this relate to the derivative? Think about what happens when you multiply by 1 in the derivative formula.
Deriving the derivative
Now we use first principles to derive the derivative of exponential functions formally. This derivation shows exactly why the limit we investigated is so important.
The derivative of using first principles begins with the definition:
We can factorise the numerator by taking out :
Worked Example: Understanding the Derivation
Starting from the definition of the derivative:
Step 1: Use the exponential property
Step 2: Factor out from the numerator
Step 3: Since does not depend on , move it outside the limit
This shows that the derivative is the original function multiplied by our investigated limit!
This final expression reveals the key insight: the derivative of equals multiplied by the limit we investigated earlier. For most bases, this limit is some constant value that complicates the derivative. However, when , the limit equals 1, giving us the beautifully simple result:
The Unique Property of
This demonstrates that is its own derivative—a unique property among all exponential functions. Later in your studies, you will learn that for general base , the derivative includes a factor of (the natural logarithm of ), but when , we have , which is why this simplification occurs.
Numerical verification
To verify this property numerically and compare it with other bases, follow these steps using a spreadsheet:
Step 1: For , compute for small values of (such as 0.1, 0.01, and 0.001). Compare these results to . You should find the values converge to approximately 2.71828, confirming that the derivative equals the function value.
Step 2: For comparison, calculate for the same values. Compare your results to the limit you found in the previous section multiplied by . Notice that the derivative of is not equal to itself but rather to times a constant factor.
Step 3: Use a graphing calculator to plot both and its derivative on the same axes. You should observe that the graphs coincide perfectly—they are the same curve. Then plot alongside (using your limit value for ) to see how they differ.
When you graph and its derivative, you're creating two curves that should lie exactly on top of each other. This perfect overlap is visual proof of the self-derivative property. In contrast, when you graph and its derivative, you'll see two distinct curves—the derivative curve is a vertical scaling of the original.
Investigation questions
Explore these questions to consolidate your understanding:
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Does approach as approaches 0? Why is this significant? This confirms numerically what we proved algebraically.
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How does the derivative of differ from graphically and numerically? Consider both the shape of the derivative curve and the actual numerical values.
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Why do the graphs of and its derivative coincide? This is the visual representation of the self-derivative property.
Discussion
Reflecting on these investigations helps solidify the mathematical concepts and their implications:
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Why is a unique property compared to other bases like ? Consider that for any base , the derivative is times some constant factor. Only when does this constant equal 1, making the derivative exactly equal to the original function.
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How did graphing and its derivative clarify its self-derivative property? The visual confirmation that the two curves are identical provides powerful intuitive understanding beyond the algebraic proof.
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How does the limit explain why is its own derivative? This limit is the "constant factor" in the derivative formula. When it equals 1, multiplying by it doesn't change the expression, so .
The self-derivative property of makes it fundamental to solving differential equations, modelling natural growth and decay, and understanding many physical phenomena. This is why appears so frequently in advanced mathematics, physics, and engineering—it's not arbitrary, but a consequence of this unique mathematical property.
Remember!
Key Takeaways:
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Euler's number is the unique base for which an exponential function equals its own derivative:
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The limit represents the gradient of at and equals 1 when
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Using first principles, the derivative of is , which simplifies to just when
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Numerical and graphical methods confirm that the graph of and its derivative are identical, unlike other exponential functions where the derivative differs by a constant factor
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This self-derivative property makes fundamental to calculus and explains why it appears naturally in growth and decay problems throughout mathematics and science