Error Propagation: Calculating Puck's X-Velocity

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Homework Help Overview

The problem involves calculating the error in the x-velocity of a puck given its speed and angle with respect to the x-axis. The original poster presents two different approaches to error propagation, questioning which method yields the correct result.

Discussion Character

  • Exploratory, Assumption checking, Mixed

Approaches and Questions Raised

  • The original poster attempts to derive the error in x-velocity using partial derivatives and proportionality of errors, leading to two different expressions. Some participants suggest considering the absolute uncertainty in trigonometric functions and question the validity of the methods used.

Discussion Status

Participants are exploring different methods of error propagation and discussing the implications of using partial derivatives versus proportionality of squares. There is an ongoing inquiry into which approach is more appropriate for this specific problem, with no clear consensus reached yet.

Contextual Notes

There is mention of confusion regarding the application of different error propagation techniques, particularly between the RSS of partials and the proportionality of squares, indicating a potential gap in understanding the methods introduced by the teaching assistant.

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Homework Statement



Given that a puck's velocity is speed [tex]v[/tex] at an angle [tex]\theta[/tex] (measured in radians) with the x-axis, we know that the puck's x-velocity is [tex]v\cos(\theta)[/tex]. Given the error in [tex]v[/tex] is [tex]\sigma_v[/tex] and the error in [tex]\theta[/tex] is [tex]\sigma_\theta[/tex], what is the resulting error in the puck's x-velocity?


The Attempt at a Solution



Solving for partials, we get:

[tex]\sigma_{v_{x}}=\sqrt{\left(\cos(\theta)\sigma_{v}\right)^2+\left(-v\sin(\theta)\sigma_{\theta}\right)^2}[/tex].

Or, using proportionalities of errors, we find:

[tex]\sigma_{v_{x}}=\sqrt{\left(\frac{\sigma_{v}}{v}\right)^2{v_{x}}^2+\left(\frac{\sigma_{\theta}}{\theta}\right)^2{v_{x}}^2}[/tex].

These yield two different values... Which is a real propagation?
 
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This link touches on dealing with error propagation for angles.
http://instructor.physics.lsa.umich.edu/ip-labs/tutorials/errors/prop.html

Since you are interested in the product of two measured values that would suggest that your second method would be the final step.

But arriving at the fractional uncertainty of the Trig function suggests finding the absolute uncertainty in the function first.

By the Rule 4 at the link I cited above you might model that as σf = dF(θ)/dθ = σθSinθ

From that calculate the relative uncertainty as σθSinθ/Cosθ = σθTanθ ?

By my method I think that would make it

σvx = ((σv/v)2 + (σθTanθ)2)1/2
 
Last edited by a moderator:
LowlyPion said:
This link touches on dealing with error propagation for angles.
http://instructor.physics.lsa.umich.edu/ip-labs/tutorials/errors/prop.html

Since you are interested in the product of two measured values that would suggest that your second method would be the final step.

But arriving at the fractional uncertainty of the Trig function suggests finding the absolute uncertainty in the function first.

By the Rule 4 at the link I cited above you might model that as σf = dF(θ)/dθ = σθSinθ

From that calculate the relative uncertainty as σθSinθ/Cosθ = σθTanθ ?

Thank you, Lowly, but I guess I'm still confused. All year we've used the RSS of the partials to show the error in the unknown parameter but, recently, my TA introduced the idea of proportionality of squares. That is, [tex](dC/C)^2 = (dA/A)^2+(dB/B)^2[/tex]. Which is right?
 
Last edited by a moderator:
By my method I think that would make it

σvx = ((σv/v)2 + (σθTanθ)2)1/2
 

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