Approximations
First-Order Approximation or Linear Approximation
For a differentiable function \( f \), let the input be \( x \) and the output be \( y \), so that
When the input is perturbed by a small amount \( \Delta x \), the new input is \( x + \Delta x \), and the corresponding output is
Thus, the exact change in output is
To approximate \( \Delta y \), we use the definition of the derivative:
For small \( \Delta x \), we approximate:
which implies
Since the derivative is often written as \( \frac{dy}{dx} \), this can also be expressed as
This is the fundamental idea behind linear approximation in calculus, where small changes in the output are approximated using the derivative.
We want to approximate \( 28^{1/3} \) using the first-order approximation.
Let
For \( x = 27 \), we know
Now, consider a small change in input:
We approximate the corresponding change in output using the derivative. The derivative of \( y = x^{1/3} \) is:
Evaluating at \( x = 27 \):
Thus, the small change in \( y \) is:
So, the estimated value of \( 28^{1/3} \) is:
The actual value of \(28^{1/3}\) is 3.03658897 and the linear approximation is 3.03703704.
The alternative formula for quickly answering approximations is
For \( f(x) = x^{1/3} \),
Evaluating at \( x = 27 \),
Applying the first-order approximation,