MHB How Does Removing the Amplitude Factor Improve Ball Bounce Modelling?

AI Thread Summary
Removing the amplitude factor from the bounce model improves accuracy by eliminating unnecessary proportional decay in height, as the original amplitude (a=0.5) reduces the bounce height too much. The new function h(x) reflects a more realistic bounce by focusing on the sine component while still incorporating the exponential decay effect. This adjustment allows for a more precise representation of the ball's behavior after each bounce. The discussion highlights the importance of understanding how amplitude affects the overall model and its implications for real-world scenarios. Accurate modeling of ball bounce dynamics is crucial for applications in physics and engineering.
Kaspelek
Messages
26
Reaction score
0
Hi guys, just an intuitive question I've come across. Quite ambiguous, not sure on the correct response.

So basically I'm given a scenario where I'm provided the data of an actual height vs time points of a vertical ball drop and it's bounce up and back down etc.

Question starts off where I have to model the height and time of the bounce using the points given to the equation f(x)=|a*sin(b(x-c))|

Hence i work out a, b and c a=0.5, b=3, c=0.6 and drew the graph.

Commented on the fit of the model.Next I am asked to create a new function s(x) where it is created by multiplying the original f(x) function by an exponential function e(x) i.e. s(x)=e(x)*f(x).

This provides a decaying effect of the height, hence more realistic.

Finally, I am asked to draw a new function, h(x), whereby i only remove the value a from the f(x) function so h(x)=e(x)*|sin(b(x-c))|.

I am then asked, Having removed a=0.5 in f(x), why does this give a more accurate model than s(x).My thoughts?
I believe it is because that since the value of a is less than 1, the height of the ball bounce is proportionally decreasing unnecessarily when comparing the h(x) and s(x) models respectively.

Thoughts guys?Thanks in advance.
 
Mathematics news on Phys.org
By the time you get to the first bounce, the decaying amplitude (which should presumably be $e^{-x}$) is:

$$e^{-0.6}\approx0.55$$

and this is closer to 0.5 than half that value.
 
Suggested that the response is worth 2 marks, thinking there's more.
 
What has the amplitude decayed to when the ball reaches it's peak after the first bounce? Unless you know some differential calculus, you will have to rely on a graph...
 
Suppose ,instead of the usual x,y coordinate system with an I basis vector along the x -axis and a corresponding j basis vector along the y-axis we instead have a different pair of basis vectors ,call them e and f along their respective axes. I have seen that this is an important subject in maths My question is what physical applications does such a model apply to? I am asking here because I have devoted quite a lot of time in the past to understanding convectors and the dual...
Fermat's Last Theorem has long been one of the most famous mathematical problems, and is now one of the most famous theorems. It simply states that the equation $$ a^n+b^n=c^n $$ has no solutions with positive integers if ##n>2.## It was named after Pierre de Fermat (1607-1665). The problem itself stems from the book Arithmetica by Diophantus of Alexandria. It gained popularity because Fermat noted in his copy "Cubum autem in duos cubos, aut quadratoquadratum in duos quadratoquadratos, et...
Insights auto threads is broken atm, so I'm manually creating these for new Insight articles. In Dirac’s Principles of Quantum Mechanics published in 1930 he introduced a “convenient notation” he referred to as a “delta function” which he treated as a continuum analog to the discrete Kronecker delta. The Kronecker delta is simply the indexed components of the identity operator in matrix algebra Source: https://www.physicsforums.com/insights/what-exactly-is-diracs-delta-function/ by...

Similar threads

Back
Top