Lagrange Error Bound
Definition
The Lagrange error bound gives an upper bound on the absolute error between an actual value and its approximation using a Taylor polynomial. It helps determine how close our estimation is to the true value.
Related terms
Absolute Error: Absolute error measures how far off an estimated value is from its true value without considering direction or sign.
Convergence Interval: The convergence interval specifies which values we can use as inputs for our approximating polynomials while maintaining accuracy within certain bounds.
Degree of the Polynomial: The degree of the polynomial used in a Taylor approximation determines how many terms are included and affects the accuracy of the estimation.
"Lagrange Error Bound" appears in:
Study guides (1)
Practice Questions (10)
Which of the following statements best describes the Lagrange Error Bound?
The Lagrange Error Bound can be used to estimate the error in which of the following approximations?
For the function f(x) = sin(x), which derivative will be used to evaluate the maximum error of the 3rd degree Taylor series expansion with the Lagrange error bound?
Which of the following factors affects the magnitude of the error estimated by the Lagrange Error Bound?
Which of the following is true regarding the Lagrange Error Bound for a Taylor polynomial approximation?
If the Lagrange Error Bound for a Taylor polynomial approximation is small, what can be inferred about the accuracy of the approximation?
The third Maclaurin polynomial for sin š„ is given by p(x) = x - x^3/3!. If this polynomial is used to approximate sin(0.1), what is the Lagrange error bound?
Which of the following statements is true regarding the Lagrange Error Bound for a Taylor series approximation?
Which of the following statements accurately describes the relationship between the Lagrange Error Bound and the accuracy of a Taylor polynomial approximation?
In the Lagrange Error Bound formula, what role does the interval length play?
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