Why can sqrt(1+x) be approximated by 1+x/2 for small x?

In summary, for small x, the function sqrt(1+x) can be approximated by 1+x/2 using the binomial theorem and the binomial expansion. The Taylor series of the function about 0 is also a valid method for approximation. The Lagrange Remainder can be used to determine the accuracy of the approximation, with r=0.25 being a suitable choice for an accuracy of two decimal points on the interval (-0.25, 0.25).
  • #1
de1irious
20
0
For small x, it seems sqrt(1+x) can be approximated by 1+x/2. Why exactly is this? Is there a theorem that I can refer to? Some kind of infinite series where the x^4 power term dies out?

Thanks!
 
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  • #2
Sure. It's exactly what you said. It's just the binomial theorem and the binomial expansion. Remember that for small x, x^4 is much smaller than x^2 and can be neglected if an approximation is desired.
 
  • #3
Or you could think of it even more easily. Draw a rough sketch of the graph. And then draw the graph of 1 + x/2. I think you will notice something :)
 
  • #4
nvm this is easy. thanks for the help
 
  • #5
You can also get the taylor series of the function about 0, but as has already been mentioned, this would be given by the inverse power binomial series anyway.
 
  • #6
Let [tex]f(x) = \sqrt{1+x}[/tex]. Let [tex]-r<x<r[/tex] ([tex]0<r<1[/tex]). The Taylor Series of [tex]f(x)[/tex] centered at 0 is:
[tex]1 + \frac{x}{2} - \frac{x^2}{4}+\frac{3x^3}{8}-...[/tex].
The Lagrange Remainder as you posted is,
[tex]R_1(x) = \frac{f''(y)}{2!}x^2[/tex] for some [tex]y[/tex] between [tex]0[/tex] and [tex]x\not =0[/tex].
Now,
[tex]|R_1(x)| = \left| \frac{f''(y)}{2!}x^2\right| \leq \left|-\frac{1}{4} \cdot \frac{(1+y)^{-3/2}}{2!}\right|r^2\leq \frac{r^2}{8}[/tex]

The term [tex]\frac{r^2}{8}[/tex] determines the accuracy. Say we want your approximation to work for 2 decimal points then we require that [tex]\frac{r^2}{8} \leq .009[/tex] thus [tex]r\leq .26[/tex]. Which means if you pick a fourth, that is, [tex]r=.25[/tex] then on the interval [tex](-.25,.25)[/tex] your approximation must be accurate to at least two decimal places.
 

1. What is the purpose of approximating sqrt(1+x)?

The purpose of approximating sqrt(1+x) is to find a close estimate of the square root of a number, without having to use complex or time-consuming methods. This can be useful in a variety of calculations and equations.

2. How is sqrt(1+x) typically approximated?

Sqrt(1+x) is typically approximated using a Taylor series expansion, which is a mathematical method for representing a function as a sum of its derivatives at a given point. This allows for a simplified calculation of the square root value.

3. What is the difference between an exact value and an approximation?

An exact value is the precise value of a number, while an approximation is a close estimate of that value. An approximation may be slightly different from the exact value, but is still considered accurate enough for most applications.

4. Are there any limitations to approximating sqrt(1+x)?

Yes, there are limitations to approximating sqrt(1+x). The accuracy of the approximation may decrease as the value of x increases, and the approximation may not be valid for all values of x. Additionally, using higher order approximations may require more computational resources.

5. How can the accuracy of the approximation of sqrt(1+x) be improved?

The accuracy of the approximation of sqrt(1+x) can be improved by using higher order approximations, which take into account more terms in the Taylor series expansion. Additionally, the use of more precise mathematical methods or algorithms can also improve the accuracy of the approximation.

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