Propagation of uncertainty with tangent function?

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Homework Help Overview

The discussion revolves around calculating the uncertainty of the refractive index using Snell's law and the propagation of error for trigonometric functions, specifically the tangent function. The original poster expresses confusion regarding the large uncertainty value compared to the refractive index itself.

Discussion Character

  • Exploratory, Assumption checking, Conceptual clarification

Approaches and Questions Raised

  • The original poster attempts to apply an error propagation formula but questions the validity of their results after noticing a large uncertainty. Participants suggest using radians instead of degrees for angle measurements and discuss the implications of this choice on derivative calculations.

Discussion Status

Participants have provided guidance on the importance of using radians for trigonometric functions, which has led the original poster to re-evaluate their calculations. There is an ongoing exploration of how this affects the uncertainty values and the underlying assumptions about angle measurement.

Contextual Notes

The discussion includes considerations about the software used for graphing and its default settings regarding angle measurement. The original poster is calculating the refractive index for multiple angles, which may influence the interpretation of their results.

Cheesycheese213
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Homework Statement
Calculate the uncertainty of a value (n) calculated by the equation n=1.0003tanθ
Relevant Equations
(shown below)
For a lab, I needed to calculate the uncertainty of a refractive index that was found using Snell's law. I found an equation online for propagation of error for any general function, which was
Screen Shot 2020-03-08 at 6.51.39 PM.png

I thought that since my equation was
Screen Shot 2020-03-08 at 6.52.10 PM.png

I could just get rid of the variable y, and have
Screen Shot 2020-03-08 at 6.55.19 PM.png


After inputting my values θ = 53.61 and Δθ = 0.1, I got
Δn = 0.284193...
Which I was sort of confused by? My value for n itself is only around 1.357, and I wasn't sure why the uncertainty was so large in comparison. I was wondering if I did something wrong?

For more context, I am calculating n for many different angles, and when graphing the values either the error bars look really big, or the slope is almost insignificant from the scale.

Thanks!
 

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Try using Radians for your angle measurement, instead of degrees. That's the only way you can take derivatives of trig functions.

Also, depending on the software package you use to graph, it could be defaulting to radians.
 
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scottdave said:
Try using Radians for your angle measurement, instead of degrees. That's the only way you can take derivatives of trig functions.

Also, depending on the software package you use to graph, it could be defaulting to radians.
Ohhh thank you so much!
I just tried converting everything to radians, and I got a much smaller number (0.004961...). Its really interesting how it needs radians over degrees :D Thank you again!
 
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Cheesycheese213 said:
interesting how it needs radians over degrees
It's not so much that it has to be radians. Rather, it is because the standard derivatives we learn, like d sin(x)/dx = cos (x), assume x is in radians.
 
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haruspex said:
It's not so much that it has to be radians. Rather, it is because the standard derivatives we learn, like d sin(x)/dx = cos (x), assume x is in radians.

Ohhhh I see! I didn't connect that! Thank you!
 
Yes, like @haruspex said, you could have a scale factor of (π radians)/180° inside the sin(x), so taking the derivative of sin(x) with x in degrees becomes (π/180)*cos(x).

This means the sine would change approx 0.01745 vertically for every Δx = 1° ( when you are near x = 0 ).
 

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