Projectile Motion Problem - Solving for Alpha and Maximum Distance

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SUMMARY

The discussion centers on solving a projectile motion problem to determine the angle alpha (α) for maximum distance. The initial equations provided include the vertical motion equation and the time of flight until the projectile hits the ground. The user encounters difficulties simplifying a quartic expression derived from maximizing horizontal distance (x) with respect to alpha. A suggestion to utilize Lagrange multipliers is made, which effectively addresses the constraint of y=0 while maximizing x, leading to a more manageable solution.

PREREQUISITES
  • Understanding of projectile motion equations
  • Familiarity with calculus, specifically derivatives
  • Knowledge of Lagrange multipliers for optimization problems
  • Basic physics concepts related to motion and forces
NEXT STEPS
  • Study the application of Lagrange multipliers in optimization problems
  • Review projectile motion equations and their derivations
  • Learn how to simplify quartic equations in calculus
  • Explore numerical methods for solving complex equations
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Students and professionals in physics, mathematics, and engineering fields who are working on optimization problems related to projectile motion and require a deeper understanding of calculus and constraint optimization techniques.

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Problem statement is here: http://www.phys.uri.edu/~gerhard/PHY520/wmex139.pdf

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

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

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

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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