Finding value of g given a motion map

  • Thread starter Thread starter Kashmir
  • Start date Start date
  • Tags Tags
    equations Motion
Click For Summary
SUMMARY

The forum discussion centers on determining the value of gravitational acceleration (g) from a motion map, specifically a scenario involving a ball released from a height. The participants identify inconsistencies in the question's diagram and the provided data, leading to confusion regarding initial conditions. The consensus is that the ball's motion can be modeled with an acceleration of approximately 10 m/s², despite ambiguities in the question's phrasing and diagram accuracy. A quadratic fit of the data supports this conclusion, yielding a second derivative of 1000 cm/s².

PREREQUISITES
  • Understanding of basic physics concepts, particularly kinematics.
  • Familiarity with quadratic equations and polynomial fitting techniques.
  • Knowledge of gravitational acceleration and its implications in motion.
  • Ability to interpret motion diagrams and initial conditions in physics problems.
NEXT STEPS
  • Study the principles of kinematics, focusing on equations of motion under constant acceleration.
  • Learn about polynomial regression and how to apply it to fit data sets in physics.
  • Explore the concept of gravitational acceleration and its measurement in experimental physics.
  • Investigate common pitfalls in physics problem statements and how to identify inconsistencies.
USEFUL FOR

Students studying physics, educators teaching kinematics, and anyone involved in experimental physics or data analysis will benefit from this discussion.

  • #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.
 
  • Like
Likes   Reactions: nasu

Similar threads

Replies
8
Views
1K
Replies
6
Views
2K
Replies
25
Views
1K
Replies
34
Views
2K
  • · Replies 22 ·
Replies
22
Views
1K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 98 ·
4
Replies
98
Views
6K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 10 ·
Replies
10
Views
1K
Replies
10
Views
2K