The natural exponential function, denoted as , is defined by the base (Euler's number), which is approximately . This function is fundamental in mathematics because it is the only non-zero function that is its own derivative.
The derivative of is . This implies that at any point on the graph, the gradient of the tangent is exactly equal to the value of at that point.
Because the derivative is always positive (since for all real ), the function is strictly increasing and its graph is always concave upward.
The derivative of is derived from the limit definition of a derivative, where the specific value of is chosen such that . This specific limit ensures the proportionality constant between the function and its derivative is exactly one.
For functions of the form , the Chain Rule is applied. This results in the derivative , where the inner function's derivative acts as a multiplier.
This principle explains why exponential growth or decay is so prevalent in nature; the rate at which a quantity changes is directly proportional to the amount of the quantity present at that moment.
To differentiate , where is a constant, you simply multiply the original function by . The resulting derivative is .
When a coefficient is present, such as in , the coefficient remains unchanged in the process. The derivative becomes .
For exponential decay functions like , the multiplier is negative. The derivative is , reflecting a negative gradient that indicates the function is decreasing.
It is vital to distinguish between power functions () and exponential functions (). In power functions, the base is the variable; in exponential functions, the exponent is the variable.
| Feature | Power Function () | Exponential Function () |
|---|---|---|
| Rule | Power Rule: | Exponential Rule: |
| Variable Location | Base | Exponent |
| Growth Rate | Polynomial | Exponential (Faster) |
Another distinction is between growth () and decay (). While both follow the same differentiation rule, the sign of the resulting derivative determines whether the slope of the curve is positive or negative.
Always provide exact values in terms of unless the question specifically asks for a decimal approximation. For example, leave a gradient as rather than calculating .
Treat as a constant number (), not a variable. A common mistake is attempting to apply the power rule to (e.g., incorrectly writing ), which is mathematically invalid.
When finding the gradient at a specific point, substitute the -value into the derivative function. If the function is , the gradient at is .
Check the sign of your result. If the original function represents decay (negative exponent), your derivative must reflect a negative rate of change.