remainder of a taylor polynomial
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Remainder of a Taylor Polynomial. Taylor’s Theorem and Lagrange form of the remainder. - PowerPoint PPT PresentationTRANSCRIPT
TAYLOR’S THEOREM AND LAGRANGE FORM OF THE REMAINDER
Remainder of a Taylor Polynomial
An approximation technique is of little value without some idea of its accuracy. To measure the accuracy of approximating a function value by the Taylor’s polynomial we use the concept of a remainder , defined as follows:
Exact value
Approximate
ValueRemainder
So . The absolute value of is called the error associated with the approximation.
Error =
Taylor’s Theorem gives a general procedure for estimating the remainder associated with a Taylor polynomial. The remainder given in the theorem is called the Lagrange form of the remainder.
Taylor’s Theorem
If a function f is differentiable through order in an interval I containing c, then, for each x in I, there exists z between x and c such that
where
One useful consequence of Taylor’s Theorem is that
where is the maximum value of between x and c.
When applying Taylor’s Theorem, you should not expect to be able to find the exact value of z. If you could do this, an approximation would not be necessary. Rather, try to find the bounds for from which you are able to tell how large the remainder is.
Determine the Accuracy of an Approximation
The third Maclaurin polynomial for is given by
Use Taylor’s Theorem to approximate by and determine the accuracy of the approximation.
solution
where
Because , it follows that the error can be bounded as follows:
That implies that
Approximating a Value to a Desired Accuracy
Determine the degree of the Taylor polynomial expanded about that should be used to approximate so that the error is less than
solution
From the example yesterday of you can see that the derivative of is given by
Using Taylor’s Theorem, you know that the error is given by
where In this interval, is less than
So you are seeking a value of n such that
By trial and error you can determine that the smallest value of n that satisfies this inequality is . So you would need a third degree Taylor polynomial to achieve the desired accuracy.