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Whether measuring earthquake intensities on the Richter scale or sound levels in decibels, nature often moves on logarithmic scales. But how do we measure the instantaneous rate of change of a scale that squishes giant numbers into manageable values?
It turns out the rate of change of the simplest logarithm produces one of the cleanest results in all of calculus.
The Natural Logarithm Rule
The natural logarithm, written as ln(x), is the logarithm with base e, where Euler's number eβ2.71828. For all x>0, its derivative is simply the reciprocal function: dxdβ[ln(x)]=x1β
In 1614, Scottish mathematician John Napier invented logarithms to turn painful multiplication into easy addition. We can prove this derivative directly using implicit differentiation: if y=ln(x), rewriting in exponential form gives ey=x.
Differentiating both sides with respect to x yields eyβ
dxdyβ=1, which means dxdyβ=ey1β=x1β.
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What happens if we scale the variable inside by a constant factor, like ln(5x)? Does the slope get 5 times steeper?
The Mystery of ln(kx)
Let's test f(x)=ln(kx), where k is any positive constant. Applying the chain rule, we differentiate the outer logarithm to get kx1β and multiply by the derivative of the inside, which is k.
fβ²(x)=kx1ββ
k=x1β The constant k cancels out completely, leaving the exact same derivative as ln(x)!
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A common mistake is claiming that dxdβ[ln(7x)]=x7β by accidentally leaving the inner derivative in the numerator without simplifying. Always remember: the constant inside the argument cancels against the denominator, leaving strictly x1β.