Math Problem Statement

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Part 1

Consider the following common approximation when x is near zero.

a. Estimate

​f(0.10.1​)

and give the maximum error in the approximation using

nequals=2.

b. Estimate

​f(0.60.6​)

and give the maximum error in the approximation using

nequals=2.

f left parenthesis x right parenthesis equals sine left parenthesis x right parenthesis almost equals xf(x)=sin(x)≈x

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Part 1

a.

​f(0.10.1​)almost equals≈0.10.1

​(Type an integer or a​ decimal.)

Part 2

Give the maximum error. Select the correct choice below and fill in the answer box to complete your choice.

​(Use scientific notation. Do not round until the final answer. Then round to two decimal places as​ needed.)

A.

The maximum error is approximately

enter your response here

for

Mequals=1.

B.

The maximum error is approximately

enter your response here

for

Mequals=0.1.

C.

The maximum error is approximately

enter your response here

for

Mequals=StartFraction 1 Over pi EndFraction1π.

D.

The maximum error is approximately

enter your response here

for

Mequals=0.

Solution

Let's solve each part step by step.

Part 1: Approximating f(x)=sin(x)xf(x) = \sin(x) \approx x near zero

For small values of xx, the approximation sin(x)x\sin(x) \approx x is often used. This approximation is the first term in the Taylor series expansion of sin(x)\sin(x), which is given by: sin(x)=xx36+x5120\sin(x) = x - \frac{x^3}{6} + \frac{x^5}{120} - \cdots Using only the first term gives us the approximation sin(x)x\sin(x) \approx x. To find the maximum error using n=2n = 2, we’ll need to consider up to the next term, which includes the x3x^3 term.

Part 1a: Estimate f(0.1)f(0.1) and find the maximum error

  1. Estimate: f(0.1)0.1f(0.1) \approx 0.1

  2. Maximum Error Calculation: The error in the approximation can be estimated using the next term in the Taylor series: E(x)x36E(x) \approx \frac{|x^3|}{6} For x=0.1x = 0.1: E(0.1)(0.1)36=0.00160.0001667E(0.1) \approx \frac{|(0.1)^3|}{6} = \frac{0.001}{6} \approx 0.0001667 Rounding to two decimal places, the maximum error is approximately 0.000170.00017.

So, for f(0.1)f(0.1):

  • Approximation: f(0.1)0.1f(0.1) \approx 0.1
  • Maximum Error: 0.000170.00017

Part 1b: Estimate f(0.6)f(0.6) and find the maximum error

  1. Estimate: f(0.6)0.6f(0.6) \approx 0.6

  2. Maximum Error Calculation: Using the same error term as above, for x=0.6x = 0.6: E(0.6)(0.6)36=0.2166=0.036E(0.6) \approx \frac{|(0.6)^3|}{6} = \frac{0.216}{6} = 0.036

So, for f(0.6)f(0.6):

  • Approximation: f(0.6)0.6f(0.6) \approx 0.6
  • Maximum Error: 0.0360.036

Summary

  1. For f(0.1)f(0.1):

    • Approximation: f(0.1)0.1f(0.1) \approx 0.1
    • Maximum Error: 0.000170.00017
  2. For f(0.6)f(0.6):

    • Approximation: f(0.6)0.6f(0.6) \approx 0.6
    • Maximum Error: 0.0360.036

Would you like a detailed breakdown of the Taylor series or any clarification on the error estimation?

Here are five follow-up questions that may further your understanding:

  1. What is the Taylor series expansion for sin(x)\sin(x) up to the fourth term?
  2. How does the error in the Taylor series approximation change with increasing xx values?
  3. What would the approximation be for f(x)=sin(x)f(x) = \sin(x) at x=0.01x = 0.01 and its associated error?
  4. Can we improve the approximation accuracy by including higher-order terms in the Taylor series?
  5. How would the error behave if we chose a different function, such as f(x)=cos(x)f(x) = \cos(x), near zero?

Tip: When using Taylor series approximations, including more terms from the series generally decreases the error, especially for larger values of xx close to the center of expansion (in this case, zero).

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Math Problem Analysis

Mathematical Concepts

Taylor Series
Approximations
Error Estimation
Trigonometric Functions

Formulas

f(x) = sin(x) ≈ x
Taylor series for sin(x): sin(x) = x - x^3/6 + x^5/120 - ...
Error term for Taylor series approximation: E(x) ≈ |x^3| / 6

Theorems

Taylor Series Approximation

Suitable Grade Level

Grade 11-12 or College Calculus