How to Verify Linear Approximations and Find Accurate Values for x?

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In summary, the conversation discusses verifying a given linear approximation at a=0 and determining the values of x for which the linear approximation is accurate to within 0.1. The textbook sets up the problem by solving inequalities and finding relevant values of x, without setting x=0 anywhere. It is important to use suitable approximations when solving the cubic equations.
  • #1
benEE2018
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Homework Statement


Verify the given linear approximation at
a = 0.
Then determine the values of x for which the linear approximation is accurate to within 0.1. (Enter your answer using interval notation. Round your answers to three decimal places.)

1/(1 + 3x)^3 ≈ 1 − 9x

Homework Equations



I have no idea how to find the x values

The Attempt at a Solution



(1/(1+3x)^3)-0.1<1-9x<(1/(1+3x)^3)+0.1 is how my textbook sets up the problem and then all of a sudden they seem to compute the x values that is unknown to me. is it simply just solving the inequality for x (subtract 1 and then divide by -9 having x=0) thanks and any help will be appreciated.
 
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  • #2
benEE2018 said:
is it simply just solving the inequality for x (subtract 1 and then divide by -9 having x=0)
Yes, it is just a matter of solving each inequality for x, but not setting x = 0 anywhere.
E.g. for (1+3x)-3-0.1<1-9x, solve the equation (1+3x)-3-0.1=1-9x to find the end of the interval. Of course, solving a cubic is non-trivial, so you should use a suitable approximation.
Solving each cubic will give you one or three real values. (Two is theoretically possible, but most unlikely.) You then need to figure out which ones are relevant and which side of them satisfies the inequality.
 
  • #3
haruspex said:
Yes, it is just a matter of solving each inequality for x, but not setting x = 0 anywhere.
E.g. for (1+3x)-3-0.1<1-9x, solve the equation (1+3x)-3-0.1=1-9x to find the end of the interval. Of course, solving a cubic is non-trivial, so you should use a suitable approximation.
Solving each cubic will give you one or three real values. (Two is theoretically possible, but most unlikely.) You then need to figure out which ones are relevant and which side of them satisfies the inequality.

Actually, you get quartics, because
[tex] \frac{1}{(1+3x)^3}\pm 0.1 = 1-9x \Longrightarrow 1 \pm 0.1(1+3x)^3 = (1+3x)^3(1-9x)[/tex]
 
  • #4
Ray Vickson said:
Actually, you get quartics, because
[tex] \frac{1}{(1+3x)^3}\pm 0.1 = 1-9x \Longrightarrow 1 \pm 0.1(1+3x)^3 = (1+3x)^3(1-9x)[/tex]
How true. Same advice, though.
 

What is linear approximation?

Linear approximation is a method used to estimate the value of a function at a particular point by using the tangent line of the function at a nearby point. It is often used when the function is too complex to calculate the exact value at a given point.

How is linear approximation verified?

Linear approximation can be verified by calculating the difference between the estimated value and the actual value of the function at the given point. This difference should be small, indicating a good approximation. Additionally, the tangent line should closely match the curve of the function at the given point.

What are the advantages of using linear approximation?

Linear approximation allows for quick and easy estimation of complex functions, making it a useful tool in many scientific and mathematical applications. It also provides a good approximation for small changes in the input variable.

What are the limitations of linear approximation?

Linear approximation is only accurate for small changes in the input variable and may not provide a good estimation for large changes. It also relies on the tangent line being a good representation of the curve of the function at the given point, which may not always be the case.

What are some practical examples of using linear approximation?

Linear approximation is used in many real-world applications, such as estimating the value of a stock based on its past performance, calculating the trajectory of a rocket, and predicting the growth of a population over time. It is also commonly used in calculus to simplify complex functions and make them easier to work with.

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