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Remainder of a Taylor Polynomial

Remainder of a Taylor Polynomial. Taylor’s Theorem and Lagrange form of the remainder.

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Remainder of a Taylor Polynomial

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  1. Remainder of a Taylor Polynomial Taylor’s Theorem and Lagrange form of the remainder

  2. 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: Approximate Value Remainder Exact value

  3. 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.

  4. 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

  5. One useful consequence of Taylor’s Theorem is that where is the maximum value of between x and c.

  6. 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.

  7. 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.

  8. solution where Because , it follows that the error can be bounded as follows:

  9. That implies that

  10. 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

  11. 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

  12. 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.

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