So, I've actually attached the diagram illustrating the problem and my attempt at it. The problem goes like this; I have a cave which is inclined at theta. I have a ball inside the cave which is at a distance \(L\) from the innermost portion of the cave. I kick the ball at a velocity \(v_0\) and at an angle alpha to the horizontal. Find \(\alpha\), in terms of \(L\), \(v_0\) and \(\theta\), such that the range is maximized.

Could someone help me out, please? Having a bit of difficulty visualizing what this would look like.

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TopNewestBump. Could someone help me out lol – Abhijeet Vats · 1 year ago

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Thank you so much for your solution! Could you explain the last part of the solution though? Like, the part about the horizontal shifting. I didn't quite understand them properly. – Abhijeet Vats · 1 year ago

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– Pascal Lubbers · 1 year ago

Imagine yourself that the ball was kicked from the innermost position of the cave ( \( L=0 \) ) . When the ball was kicked under an angle \( \alpha \) larger than \( \theta \), the ball would bounce against the ceiling (red line in plot) . Since we don't want this to happen for a maximized range we shift the initial position where the ball was kicked so the ball wouldn't hit the ceiling (green line in plot).Log in to reply

Like in many mathematical problems there are multiple ways to approach it. First lets summarize the assumptions made to simplify this problem:

Before diving into this particular problem, let's first have a look at the trajectory of the ball on itself.

In general the horizontal motion of a projectile is described by:

\[ x(t) = x_0 + \vec{v_0} \, cos(\alpha) \, t \]

And its vertical motion by:

\[ y(t) = y_0 + \vec{v_0} \, \sin(\alpha) \, t - \frac{1}{2} \, g \, t^2 \]

where \( \vec{v_0} \) (or just \( v \) for convenience) is the initial velocity vector at an angle \( \alpha \) to the horizontal. We can neglect \( y_0 \) because the ball is launched from the floor of the cave.

Notice you denoted \( x_0 \) as \( L \) as being the horizontal distance from the innermost point of the cave to the point at which the ball was launched.These expressions could be rewritten into a single expression describing the height \( y \) in terms horizontal distance \( x \) resulting in:

\[ y(x) = (x - L) \, \frac{v \, sin(\alpha)}{v \, cos(\alpha)} - \frac{g \, (x-L)^2}{2 \, (v \, cos(\alpha))^2} \]

Simplified:

\[ y(x) = (x - L) \, tan(\alpha) - \frac{g \, (x-L)^2}{2 \, (v \, cos(\alpha))^2} \]

The next step is to investigate the conditions at which the range is maximized. Therefore we need to look at the first two expressions again. When the ball hits the ground after its flight the height is equal to zero resulting in the following equation:

\[ y(t) = v \, \sin(\alpha) \, t - \frac{1}{2} \, g \, t^2 = 0 \]

This gives us two solutions:

\[ t = 0 \]

or

\[ t = \frac{2 \, v \, sin(\theta)}{g} \]

It can be easily seen that we were looking for the latter solution. Substituting this solution in the very first equation gives:

\[ x - L = \frac{2 \, v^2 \, \cos(\alpha) \, \sin(\alpha)}{g} \]

Using the trigonometric identity:

\[ sin(2\alpha) = 2 \, sin(\alpha) \, cos(\alpha)\]

simplifies this to:

\[ x - L = \frac{v^2 \, sin(2\alpha)}{g} \]

Notice that \( x - L \) is the horizontal distance traveled by the ball and it's maximized when the angle \( \alpha \) equals \( 45^{\circ} \).

Now we can dive into this particular problem. One way to approach this problem is by calculating the point at which the slope of the trajectory of the ball is the same as the slope of cave's ceiling. With this knowledge it's possible to calculate the horizontal shifting \( L \) of the trajectory needed to let the ball not hit the cave's ceiling. The height of the cave's ceiling at distance \( x \):

\[ y_c(x) = x \, tan(\theta) \]

And its slope:

\[ \frac{d y_c}{d x} = tan(\theta) \]

The height of the ball at distance \( x \) as found earlier:

\[ y_b(x) = x \, tan(\alpha) - \frac{g \, x^2}{2 \, (v \, cos(\alpha))^2} \]

Notice \( L = 0 \) since the horizontal shifting is calculated later on.And its slope:

\[ \frac{d y_b}{d x} = tan(\alpha) - \frac{g \, x}{(v \, cos(\alpha))^2} \]

Equal slopes at:

\[ tan(\alpha) - \frac{g \,x}{(v \, cos(\alpha))^2} = tan(\theta) \]

Solving for \( x \):

\[ s = x = \frac{v^2 \, cos(\alpha) \, sin(\alpha - \theta)}{g \, cos(\theta)} \quad and \quad g \neq 0 \quad and \quad v \neq 0 \]

Now it's known at what horizontal distance the slope of the trajectory will be equal to the slope of the cave's ceiling. The difference in height between the trajectory of the ball and the cave's ceiling can be converted into a horizontal distance that the trajectory needs to shift in order to let the ball not hit the ceiling. The horizontal shifting in terms of difference in height can be derived from the slope of the cave's ceiling:

\[ L = \frac{|y_c(s) - y_b(s)|}{tan(\theta)} \]

This simplifies to:

\[ L = \frac{v^2 \, sin^2(\alpha-\theta))}{g \, sin(2 \, \theta)} \]

Although it is not in explicit for \( \alpha \), I think this equation is quite elegant.

Here's a plot of a fitted trajectory with \( v = 10 \, ms^{-1}, \alpha = 45^{\circ}, \theta = 15^{\circ} \) and \( g = 9.81 \, ms^{-2} \):

Fitted Trajectory

And ofcourse to check:

\[ L = \frac{10^2 \cdot sin^2(45-15)}{9.81 \cdot sin(2 \cdot 15)} = 5.097 \]

For a maximized range \( \alpha \) has to be as close as possible to \( 45^{\circ}\). Notice that \( \alpha \) would never be larger than \( 45^{\circ}\) for a maximized range. – Pascal Lubbers · 1 year ago

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