Projectile Motion Problem - Solving for Alpha and Maximum Distance

AI Thread Summary
The discussion centers on solving a projectile motion problem to determine the angle alpha for maximum distance. The initial approach involves using the equations of motion to find the time the projectile hits the ground and then computing the maximum horizontal distance. A challenge arises when deriving a quartic expression in alpha that complicates the simplification process. An alternative method suggested is the use of Lagrange multipliers, which can effectively handle the constraints of the problem. This approach is noted to simplify the process and yield better results.
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Problem statement is here: http://www.phys.uri.edu/~gerhard/PHY520/wmex139.pdf

My approach:
y = -\frac{gt^2}{2} + v_0 cos( \alpha) t + h

Projectile hits ground at:
t_{gnd} = \frac{v_0 sin( \alpha ) + \sqrt{ v_0^2 sin^2 ( \alpha) + 2gh}}{g}

Now compute derivative of x and solve for alpha:
x_{max} = v_0 cos( \alpha) t_{gnd}
\frac{dx_{max}}{d \alpha} = 0

This last step where you solve for alpha is what buggers me. I get a huge quartic expression in alpha that does not simplify, I suspect the problem setter expects you to make some approximation but I can't figure it out.
 
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In the first equation (the one for y), it should be sine.

I see where you're trying to go with your approach. And I think it would work, but maybe you should try a different approach.

Are you familiar with Lagrange multipliers? Because you've got y=0 as the constraint and x as the function to maximise. The functions x and y are each functions of both alpha and t, so the problem looks well suited to the method of Lagrange multipliers.
 
Worked like a charm, good idea.
 
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