Obtain distance versus time from a speed vs distance plot.

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SUMMARY

The discussion focuses on converting a speed versus distance plot into a distance versus time plot without knowing the start and end times of the experiment. The key equation presented is \(\frac{dx(t)}{dt} = u(x)\), indicating that velocity is a function of distance. Participants suggest using known points where speed remains constant to estimate time-steps and propose employing the trapezoidal rule for numerical integration to approximate the relationship between distance and time. However, it is concluded that knowing the times of data collection is essential for accurate calculations.

PREREQUISITES
  • Understanding of differential equations, specifically \(\frac{dx(t)}{dt} = u(x)\)
  • Familiarity with numerical integration techniques, such as the trapezoidal rule
  • Knowledge of experimental data analysis and plotting
  • Basic concepts of kinematics and the relationship between speed, distance, and time
NEXT STEPS
  • Research methods for estimating time-steps from distance and speed data
  • Learn about numerical integration techniques, focusing on the trapezoidal rule
  • Explore kinematic equations and their applications in experimental data analysis
  • Investigate tools for plotting and analyzing experimental data, such as Python's Matplotlib or MATLAB
USEFUL FOR

Researchers, data analysts, and experimental physicists who need to convert speed versus distance data into time-based plots for better analysis and interpretation of experimental results.

lostidentity
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Hi,

I have a set of experimental data given in terms of speed [itex]u[/itex] versus distance [itex]x[/itex]. But I want to obtain a plot of distance [itex]x[/itex] versus time [itex]t[/itex]. The problem is I don't have the end time of the experiment. In this experiment velocity is a function of distance, [itex]u=u(x)[/itex] and distance is in turn of time, [itex]x=x(t)[/itex].

[itex]\frac{dx(t)}{dt} = u(x)[/itex]

Is this possible without knowing the start and times?
 
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do you know the time-step of the measurements? I think that would help a lot.

Otherwise, you can probably get a couple of points from your data where the speed did not change and given the distance between points, you may be able to deduce the time-step...then, you may be able to simply have another x-axis that represent time?
 
If you write that with the variables separated:
[tex]\frac {dx}{u(x)} = 1\, dt[/tex]
couldn't you approximate the integral on the left with, for example, the trapezoidal rule using your information (x0,u0),(x1,u1),...(xn,un)? But as someone else has observed, it looks like you need the times the data are recorded to put appropriate limits on the right side.
 

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