Math Problem Statement

Problem 1: For small x, the approximation sin(x) ≈ x is often used. For what range of x is this good to a relative accuracy of (1/2) × 10^(-14)? Problem 2: Suppose you approximate e^x by its truncated Maclaurin series. For x = 0.5, derive how many terms of the series are needed to achieve an (absolute) truncation error of less than 10^(-10).

Solution

Let's go over these problems step by step.

Problem 1: Approximation of sinxx\sin x \approx x

We are asked to determine for what range of xx, the approximation sinxx\sin x \approx x is valid to a relative accuracy of 12×1014\frac{1}{2} \times 10^{-14}.

Approach:

  1. For small xx, sinx\sin x can be approximated by its Taylor series expansion: sinx=xx33!+x55!\sin x = x - \frac{x^3}{3!} + \frac{x^5}{5!} - \cdots
  2. The relative error of the approximation sinxx\sin x \approx x comes from neglecting the higher-order terms of this series.
  3. The next term in the series after xx is x36-\frac{x^3}{6}, so the relative error is approximately: Relative error=x36x=x26\text{Relative error} = \frac{\left| \frac{x^3}{6} \right|}{x} = \frac{x^2}{6}
  4. To ensure the approximation is good to the given relative accuracy, we set: x2612×1014\frac{x^2}{6} \leq \frac{1}{2} \times 10^{-14}
  5. Solve this inequality for xx: x23×1014x^2 \leq 3 \times 10^{-14} x3×1014=3×1071.732×107x \leq \sqrt{3 \times 10^{-14}} = \sqrt{3} \times 10^{-7} \approx 1.732 \times 10^{-7}

Thus, the approximation sinxx\sin x \approx x is valid for x1.732×107x \leq 1.732 \times 10^{-7}.

Problem 2: Maclaurin Series for exe^x Approximation

We are asked to find how many terms of the Maclaurin series for exe^x are needed to achieve an absolute truncation error of less than 101010^{-10} for x=0.5x = 0.5.

Approach:

  1. The Maclaurin series for exe^x is: ex=1+x+x22!+x33!+e^x = 1 + x + \frac{x^2}{2!} + \frac{x^3}{3!} + \cdots
  2. The error in truncating the series after the nn-th term is given by the next term in the series: Errorxn+1(n+1)!\text{Error} \approx \frac{x^{n+1}}{(n+1)!}
  3. We want this error to be less than 101010^{-10}, so we need to solve: 0.5n+1(n+1)!<1010\frac{0.5^{n+1}}{(n+1)!} < 10^{-10}
  4. We can try successive values of nn to find when this inequality holds.

Let's calculate this numerically.

Calculation:

For x=0.5x = 0.5, find the smallest nn such that: 0.5n+1(n+1)!<1010\frac{0.5^{n+1}}{(n+1)!} < 10^{-10}

I'll compute the terms.For x=0.5x = 0.5, at least 10 terms of the Maclaurin series are needed to ensure that the truncation error is less than 101010^{-10}.

Would you like more details on the reasoning or further questions?

Here are 5 related questions that could deepen your understanding:

  1. How would the approximation for sinxx\sin x \approx x change if the required relative accuracy were 12×1012\frac{1}{2} \times 10^{-12}?
  2. Can we derive a general formula for the relative error of any Taylor series approximation?
  3. How would you modify the method in Problem 2 for a different value of xx, say x=1x = 1?
  4. How does the relative error in approximating sinx\sin x compare to other common approximations, like cosx1\cos x \approx 1?
  5. How would the truncation error behave if we were approximating exe^{-x} instead of exe^x?

Tip: For problems involving series approximations, always check both the absolute and relative error depending on the context to ensure precision in your calculations.

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Math Problem Analysis

Mathematical Concepts

Taylor series
Truncation error
Maclaurin series
Relative error

Formulas

sin(x) ≈ x - x^3/3! + x^5/5! - ...
Error ≈ x^(n+1)/(n+1)!

Theorems

Taylor expansion
Maclaurin series

Suitable Grade Level

University level (Calculus, Approximation Theory)