Monica's question at Yahoo Answers regarding Linear Approximation

In summary, we use linear approximation to estimate the values of the function g(x) = fifth sqrt(1 + x) at a = 0. By using the formula g(x + Δx) ≈ g'(x)Δx + g(x), we can approximate the values for fifth sqrt(0.95) and fifth sqrt(1.1) as 0.99 and 1.02, respectively.
  • #1
MarkFL
Gold Member
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Here is the question:

Linear Approximation?

Find the linear approximation of the function
g(x) = fifth sqrt(1 + x) at a = 0.

Use it to approximate the numbers
fifth sqrt(0.95) and fifth sqrt(1.1)

I have posted a link there to this thread so the OP can view my work.
 
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  • #2
Hello Monica,

Consider the approximation:

\(\displaystyle \frac{\Delta g}{\Delta x}\approx\frac{dg}{dx}\)

Now this implies:

\(\displaystyle \Delta g\approx\frac{dg}{dx}\Delta x\)

We may rewrite $\Delta g$ as follows:

\(\displaystyle g\left(x+\Delta x \right)-g(x)\approx\frac{dg}{dx}\Delta x\)

And so we have:

\(\displaystyle g\left(x+\Delta x \right)\approx\frac{dg}{dx}\Delta x+g(x)\)

Now, with $g$ defined as:

\(\displaystyle g(x)\equiv x^{\frac{1}{5}}\implies \frac{dg}{dx}=\frac{1}{5}x^{-\frac{4}{5}}\)

And with $x=1$, our formula becomes:

\(\displaystyle g\left(1+\Delta x \right)\approx\frac{1}{5}\Delta x+1\)

And so for:

i) \(\displaystyle \Delta x=-0.05\)

We have:

\(\displaystyle g\left(1-0.05 \right)\approx\frac{-0.05}{5}+1\)

\(\displaystyle \sqrt[5]{0.95}\approx0.99\)

ii) \(\displaystyle \Delta x=0.1\)

We have:

\(\displaystyle g\left(1+0.1 \right)\approx\frac{0.1}{5}+1\)

\(\displaystyle \sqrt[5]{1.1}\approx1.02\)
 

Related to Monica's question at Yahoo Answers regarding Linear Approximation

What is linear approximation?

Linear approximation is a method used in mathematics and physics to approximate a function or equation using a linear function. It involves finding the tangent line to a curve at a specific point and using that line to estimate the value of the function at nearby points.

How is linear approximation used in real life?

Linear approximation is often used in engineering, economics, and physics to simplify complex equations and make them more manageable. It is also used in statistics to make predictions and estimates based on data.

What is the formula for linear approximation?

The formula for linear approximation is y = f(a) + f'(a)(x-a), where y is the estimated value of the function, f(a) is the value of the function at the point a, f'(a) is the derivative of the function at a, and x is the point at which the function is being evaluated.

What are the limitations of linear approximation?

Linear approximation is only accurate for small intervals around the point of approximation. It also assumes that the function is differentiable at the point of approximation. In some cases, the linear approximation may not accurately represent the behavior of the function.

How is linear approximation different from linear regression?

Linear approximation is used to estimate the value of a function at a specific point, while linear regression is used to find the relationship between two or more variables. Linear approximation uses a tangent line to approximate the function, while linear regression uses a line of best fit to represent the data.

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