Here are the essential concepts you must grasp in order to answer the question correctly.
Function Change Δf
The change in a function, Δf, represents the difference in the function's value as the input changes from x₀ to x₀ + dx. It is calculated by evaluating the function at the new point and subtracting the function's value at the original point: Δf = f(x₀ + dx) − f(x₀). This concept helps understand how the function behaves over small intervals.
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Differential Estimate df
The differential estimate, df, is an approximation of the change in the function using the derivative at a specific point. It is calculated as df = fʹ(x₀) dx, where fʹ(x₀) is the derivative of the function at x₀, and dx is the small change in x. This linear approximation is useful for estimating function changes over small intervals.
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Approximation Error |Δf − df|
The approximation error, |Δf − df|, measures the difference between the actual change in the function and the estimated change using the derivative. It quantifies the accuracy of the linear approximation provided by the differential. A smaller error indicates a better approximation, highlighting the importance of understanding the behavior of the function and its derivative.
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Determining Error and Relative Error