Here are the essential concepts you must grasp in order to answer the question correctly.
Centered Difference Quotient
The centered difference quotient is a method for approximating the derivative of a function at a point by averaging the slopes of secant lines on either side of that point. It is defined as f'(a) ≈ (f(a+h) - f(a-h)) / (2h), where h is a small positive value. This approach provides a more accurate estimate of the derivative compared to the forward or backward difference quotients, especially when h is small.
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Symmetry in Function Values
When using the centered difference quotient, the function values f(a+h) and f(a-h) are symmetrically located around the point a. This symmetry means that the contributions of positive and negative h values effectively cancel out any asymmetries in the function's behavior at a, allowing for a more accurate approximation of the derivative without needing to consider negative h values.
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Average Value of a Function
Behavior of the Function Near a Point
The behavior of the function f(x) near the point a is crucial for understanding why negative values of h are unnecessary. If the function is continuous and differentiable at a, the values of f(a+h) and f(a-h) will converge to the same limit as h approaches zero. Thus, using only positive h values suffices to capture the local behavior of the function around a, ensuring a reliable approximation of the derivative.
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