Finding value of g given a motion map

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Homework Help Overview

The discussion revolves around determining the value of gravitational acceleration (g) based on a motion map provided in a physics problem. Participants are analyzing the setup and data related to the motion of a body, which appears to involve free fall and initial conditions that may be inconsistent.

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Approaches and Questions Raised

  • Some participants express frustration with the original poster's lack of evidence of their attempts to solve the problem. Others question the clarity of the problem statement and the accuracy of the accompanying diagram. There are discussions about fitting data to equations of motion and the implications of different interpretations of the initial conditions.

Discussion Status

The conversation is ongoing, with various interpretations being explored. Some participants have provided insights into potential discrepancies in the problem setup, while others have suggested that the original poster clarify their efforts. There is a recognition of the need for further input from the original poster to resolve the ambiguities.

Contextual Notes

Participants note that the ruler used in the problem lacks units, which could lead to confusion. Additionally, there are concerns about the initial conditions stated in the problem, particularly regarding whether the body was released from rest or with an initial velocity. The discussion also highlights the importance of accurate diagrams in understanding the problem.

  • #31
PeroK said:
There are two possible answers:

1) The wrong graph was included. And the graph shows an object falling from rest at ##0.5 cm## under the Earth's gravity for ##0.4s##.
I vote for Answer (1). I think that Answer (2) is untenable. Here is why.

Under constant acceleration, the instantaneous velocity is equal to the average velocity at the middle of the time interval over which the average is taken. Let ##t_1## be the clock time corresponding to event 1. The clock time corresponding to the subsequent events is ##t_n=t_1+(n-1)\Delta t, ~n=2,3,\dots##
Now we can compute instantaneous velocities and times at which they occur.
Event 1: ##s_1\rightarrow s_2##
##\bar v_1=\dfrac{s_2-s_1}{t_2-t_1}=\dfrac{s_2-s_1}{\Delta t}##
The instantaneous velocity ##v_1=\dfrac{s_2-s_1}{\Delta t}## occurs at clock time ##\tau_1=t_1+\frac{1}{2}\Delta t.##

Event 2: ##s_3\rightarrow s_2##
##\bar v_2=\dfrac{s_3-s_3}{t_3-t_2}=\dfrac{s_3-s_2}{\Delta t}##
The instantaneous velocity ##v_2=\dfrac{s_3-s_2}{\Delta t}## occurs at clock time ##\tau_2=t_2+\frac{1}{2}\Delta t=(t_1+\Delta t)+\frac{1}{2}\Delta t=t_1+\frac{3}{2}\Delta t##

Now we can compute the constant acceleration $$\begin{align} & a_{\text{3-2-1}}=\frac{v_2-v_1}{\tau_2-\tau_1}=\frac{\frac{s_3-s_2}{\Delta t}-\frac{s_2-s_1}{\Delta t}}{t_1+\frac{3}{2}\Delta t-(t_1+\frac{1}{2}\Delta t)} =\frac{s_3-2s_2+s_1}{(\Delta t)^2} \nonumber \\& =\frac{(0.25-2\times 0.1+0.05)\rm{m}}{(0.1~\rm{s})^2}=10~\rm{m/s}^2.
\nonumber \end{align}$$ One needs at least three consecutive positions and times and here we have five. Using the rest of the triplets, $$\begin{align} & a_{\text{4-3-2}}=\frac{s_4-2s_3+s_2}{(\Delta t)^2}=\frac{(0.50-2\times 0.25+0.10)\rm{m}}{(0.1~\rm{s})^2}=10~\rm{m/s}^2 \nonumber \\
& a_{\text{5-4-3}}=\frac{s_5-2s_4+s_3}{(\Delta t)^2}=\frac{(0.85-2\times 0.50+0.25)\rm{m}}{(0.1~\rm{s})^2}=10~\text{m/s}^2 \nonumber \\
\end{align}$$This shows that one can calculate the constant acceleration from three position-time pairs without assuming anything about the initial conditions. Three points are sufficient to define a parabola when there is no experimental uncertainty as in this case.

In my opinion, all this is gorilla-glue strong evidence that the data support an acceleration ##a=10~\text{m/s}^2##. In fact, the "triplet analysis" was (and maybe still is) how spark timer data were processed for finding ##g## experimentally before spreadsheets, photogates and lab analysis software came into being. Thus, I am forced to conclude that the graph is wrong. Furthermore, since all accelerations are exactly equal, it is highly likely that we have here a contrived set of data with zero uncertainty.

This concludes my justification of my vote for A. Now let's look at model B:
PeroK said:
2) The graph shows an object falling from ##0 cm## for ##0.5s##. The question required the answer which best fits the data (not necessarily perfectly fits the data). And, allowing for experimental error, ##g = 6.8 m/s^2## is a good fit for the data.
We can use the model to calculate the positions at the "measured" times. These are summarized in the Table below.

Time (s)​
Expt. Position (m)​
Calc. Position (m)​
0​
N.A.​
0​
0.1​
0.05​
0.03​
0.2​
0.10​
0.14​
0.3​
0.25​
0.30​
0.4​
0.50​
0.54​
0.5​
0.85​
0.85​
The discrepancy between the "experimental" values and the calculated values has been attributed to "experimental" error. I doubt that there ever was an experiment that generated these data, but I will play along. I will superimpose on OP's figure the predictions of the model A where the acceleration is ##a_A=10~\text{m/s}^2## and the object starts from rest at the 0.05 m mark (red circles) and model B where the position are calculated using an acceleration ##a_B=6.8~\text{m/s}^2## and the object starts from rest at the 0 m mark (blue circles.)
ScaleModelComparison.png

A more conventional presentation of model B is shown below. The "experimental" data are shown as discrete points connected with a smoothed line and the calculation is shown as a solid line. It looks like the assumption that the initial position of the object is zero throws the parabola out of kilter. This is no random variation due to experimental uncertainty.
ModelComparison.png

Let the reader decide which is the best analysis of the data: one that yields a value for the constant acceleration that makes assumptions about the initial conditions or one that does not need such assumptions.
 
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