What is the uncertainty in the derivative of a function?

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SUMMARY

The discussion focuses on calculating the uncertainty in the derivative of a displacement-time function obtained from a kinematics experiment using Tracker software. The displacement function is modeled as s(t) = At² + Bt + c, with the derivative representing the velocity function v = s'(t) = 2At + B. The participant seeks to derive the velocity function manually and explores methods to estimate uncertainty, including error propagation from fitting parameters and using higher-order polynomials for comparison. Key factors influencing uncertainty include frame rate, pixel resolution, and the assumptions of constant force in real experiments.

PREREQUISITES
  • Understanding of kinematics and motion analysis
  • Familiarity with Tracker software for video analysis
  • Knowledge of error propagation in statistical analysis
  • Basic calculus, specifically differentiation of polynomial functions
NEXT STEPS
  • Learn about error propagation techniques in experimental physics
  • Explore advanced polynomial fitting methods for data analysis
  • Investigate the impact of frame rate and pixel resolution on motion analysis
  • Study the principles of constant acceleration and its real-world applications
USEFUL FOR

Students and researchers in physics, particularly those involved in experimental kinematics, data analysis, and anyone seeking to understand the uncertainties in derived functions from experimental data.

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Hey,

Homework Statement



I was working on a kinematics experiment using Tracker to do a video analysis. I obtained a graph of displacement against time for the body under constant acceleration and the software also gives me the rms error between the parabolic trend line and the data points representing the position of the object over time.

However, I actually want the velocity-time function of the object but I do not want to rely on the software's algorithms to determine it. As such, I plan to find the derivative of the displacement-time trend line by hand however, is there a way to calculate the uncertainty in the derivative using the rms value of the original function?

Homework Equations



s(t) = At^2 + Bt + c
v = s'(t) = 2At + B
 
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There are several approaches which I view as complementary. Which error estimate I favor depends on how well the frame rate and pixel resolution match the original experiment and whether more uncertainty is likely to be introduced by 1) a relatively slow frame rate (velocity changing significantly between frame intervals) 2) a relatively coarse pixels (movement of 100 pixels per frame is better than 8 pixels per frame) 3) motion not being all in the same plane perpendicular to the line of sight 4) optical effects 5) the reasonableness of the models used in determining the displacement function.

Assigning the displacement to be a quadratic assumes a constant force, which is usually not true in most real experiments. It can only lead to a linear change in velocity (constant acceleration). But it does allow a rough estimate of uncertainties in a couple of ways: 1) propagate the error from the uncertainties in the fitting parameters A, B, and C. 2) repeat the analysis with a higher order polynomial and compute the resulting differences in velocity estimates.
 
Alright, thanks so much for the help!
 

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