Propogation of error when taking sine inverse

In summary, the student calculates the angle of inclination of an air track and finds that the error in the angle of inclination is proportional to the ratio of opposite over hypotenuse.
  • #1
nietzsche
186
0

Homework Statement



I need to calculate the angle of inclination of an air track. The hypotenuse is 229.8 +/- 0.05 cm and the opposite side (the height that one side of the track is raised to) is 1.3 +/- 0.05 cm. I need to calculate the error in the angle of inclination.

Homework Equations





The Attempt at a Solution



I do the division of opposite over hypotenuse and I get (0.057 +/- 0.002) as my ratio. But what happens when I take the sine inverse of this? The angle is small, so the angle is roughly equal to the ratio (0.057 rad) but what happens to the error?

Many thanks in advance.
 
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  • #2
Error calculation for a function of two variables (You can easily see how to incorporate more into this formula):

Given:
[tex]x, \Delta x[/tex]

[tex]y, \Delta y[/tex]

[tex]f(x,y)[/tex]

And what we're looking for is [tex]\Delta f(x,y)[/tex]

[tex]\Delta f(x,y)=\sqrt{(\frac{\partial f}{\partial x}\cdot \Delta x)^2+(\frac{\partial f}{\partial y}\cdot \Delta y)^2}[/tex]

The notation [tex]\frac{\partial y}{\partial x}[/tex] means the partial derivative of y, with respect to x.
What that means is that you take the function of one or more variables, and only take the derivative with respect to x, treating everything else as though it were a constant.

All you need to do now, is find the derivative of the [tex]\arcsin{x}[/tex] function and you're good to go, since it's a one-variable function.
 
  • #3
Thank you very much.
 
  • #4
nietzsche said:
Thank you very much.

Happy to oblige. :)

This is fairly tricky stuff. More time consuming than it is tricky, to be honest. Especially if you have a lab with a fair number of results.

It was a bit intimidating when we first learned it, but practice makes perfect, so it's just something you need to get used to. Just like how the error in a sum is the square root of the squares of the errors in each of the quantities summed up.
Haha, just writing that out still wigs me out.
 

FAQ: Propogation of error when taking sine inverse

What is propagation of error when taking sine inverse?

Propagation of error is a method used to estimate the uncertainty in a calculated result based on the uncertainties in the measured quantities used in the calculation. This is particularly relevant when taking the inverse sine function, as it involves several calculations and potential sources of error.

Why is propagation of error important when taking sine inverse?

When taking the inverse sine function, there are multiple potential sources of error that can affect the final result. Propagation of error allows us to quantify the overall uncertainty in the calculated result, giving us a better understanding of the accuracy and reliability of our data.

What are some common sources of error in taking sine inverse?

Some common sources of error when taking sine inverse include measurement errors in the input values, rounding errors in the calculations, and limitations of the mathematical model used to perform the inverse sine function. Other sources may include environmental factors, such as temperature or interference from surrounding objects.

How is propagation of error calculated when taking sine inverse?

The propagation of error is typically calculated using the partial derivatives of the inverse sine function with respect to each of the input variables. These derivatives are then used in a formula to determine the overall uncertainty in the calculated result. This process can be complex and may require the use of specialized software or tools.

Can propagation of error be avoided when taking sine inverse?

While it is not possible to completely eliminate error when taking the inverse sine function, careful measurement techniques and the use of precise instruments can help minimize the impact of error. Additionally, using more advanced mathematical methods or models may also help reduce the overall uncertainty in the calculated result.

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