9.7 day 2 Taylor’s Theorem: Error Analysis for Series

1. 9.7 day 2 Taylor’s Theorem: Error Analysis for Series Tacoma Narrows Bridge: November 7, 1940 Greg Kelly, Hanford High School, Richland, Washington

2. Taylor series are used to estimate the value of functions. An estimate is only useful if we have an idea of how accurate the estimate is. When we use part of a Taylor series to estimate the value of a function, the end of the series that we do not use is called the remainder. If we know the size of the remainder, then we know how close our estimate is.

3. Use to approximate over . ex. 2: Since the truncated part of the series is: , the truncation error is , which is . For a geometric series, this is easy: When you “truncate” a number, you drop off the end. Of course this is also trivial, because we have a formula that allows us to calculate the sum of a geometric series directly.

4. Error for Alternating Series The error for an alternating series is always less than the first unused term. This formula is easier than the formula we will learn shortly so always check to see if it is alternating first. Recall: If an alternating series converges conditionally the terms can be rearranged to make and sum so discussion of error is not very useful.

5. Error for Telescoping Series Recall, Telescoping series always converge to the uncancelled terms. We don’t usually consider error in a telescoping series because we can find the exact value. However, error could be calculated by taking the exact value minus the approximation.

6. Lagrange Form of the Remainder Taylor’s Theorem with Remainder If f has derivatives of all orders in an open interval I containing a, then for each positive integer n and for each x in I: Remainder after partial sum Sn where c is between a and x.

7. Note that this looks just like the next term in the series, but “a” has been replaced by the number “c” in . Lagrange Form of the Remainder This seems kind of vague, since we don’t know the value of c, but we can sometimes find a maximum value for . Remainder after partial sum Sn where c is between a and x. This is also called the remainder of order n or the error term.

8. If M is the maximum value of on the interval between a and x, then: Remainder Estimation Theorem Lagrange Form of the Remainder Note that this is not the formula that is in our book. It is from another textbook. We will call this the Remainder Estimation Theorem.

9. On the interval , decreases, so its maximum value occurs at the left end-point. Find the Lagrange Error Bound when is used to approximate and . ex. 5: Remainder after 2nd order term

10. Remainder Estimation Theorem On the interval , decreases, so its maximum value occurs at the left end-point. error Find the Lagrange Error Bound when is used to approximate and . ex. 5: Error is less than error bound. Lagrange Error Bound p

11. Remainder Estimation Theorem Prove that , which is the Taylor series for sinx, converges for all real x. ex. 2: Since the maximum value of sin x or any of it’s derivatives is 1, for all real x, M = 1. so the series converges.

12. p. 659 41-51 odd