Final answer:
Numerical estimation of the derivative of a polynomial at x=0.5 using backward, forward, and centered finite differences is performed, with the percent error in each case calculated to compare against the true derivative value of 0.9125.
Step-by-step explanation:
The task involves estimating the derivative of a polynomial numerically using backward, forward, and centered first finite differences methods and comparing these estimates to the true derivative value at x = 0.5.
The step size Δx is given as 0.25.
The polynomial in question is P(x) = 0.1x^4 - 0.15x^3 - 0.5x^2 + 0.25x + 1.2, and the true derivative at x = 0.5 is P′(0.5) = 0.9125.
To apply the finite differences methods, we calculate the polynomial's values at points x = 0.25, x = 0.5, and x = 0.75.
These values are then used to estimate the derivative at x = 0.5.
The backward difference uses points x = 0.25 and x = 0.5, the forward difference uses x = 0.5 and x = 0.75, and the centered difference uses all three points.
The percent error for each method is then calculated using the formula Δ = (|true value - estimated value|/true value) × 100%.