Derive optimal anlge for maximum range (Projectile Motion)

AI Thread Summary
To derive the optimal angle for maximum range in projectile motion, the key equation to focus on is tan θ = 1 / √(1 + 2gh / u^2). The discussion highlights the importance of correctly interpreting the equations, particularly the distinction between the two forms of Rmax. A method suggested involves using parametric equations for x(t) and y(t) to find y(x) and setting y(R) to zero, which helps define R as a function of θ. The optimal angle for maximum range is typically 45 degrees, but adjustments are necessary for bi-level projections. Understanding the derivation and application of these equations is crucial for solving the assignment effectively.
MohammadG
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Homework Statement


Hey,

For an assignment I need to derive the optimal angle for maximum range (derive Equation 2 below). I know how to derive equation 1 but I need to derive the second equation so I can substitute h = 0, and h = 1, into it, to show the optimal angle for maximum range for bi-level and uni-level.

I have a book that explains it but I don't understand it at all. Any help is really appreciated.

Thank you!

Homework Equations


Equation 1:
Rmax = u^2 / g √(1 + 2gh/u^2)

Equation 2:
tan θ = 1 / √ (1 + 2gh / u^2)

u = initial velocity
g = grav. accel.
h = height

The Attempt at a Solution


One method I have tried is finding the derivative of Rmax, setting it to zero and solving for theta (to find the minimum) which does give me 45 degrees but I cannot apply this to bi-level projection.
 
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The way you've written the fractions is somewhat ambiguous. It's hard to say whether you meant that R_{\text{max}}=\frac{u^2}{g}\frac{1}{\sqrt{1+\frac{2gh}{u^2}}} or R_{\text{max}}=\frac{u^2}{g}\sqrt{1+\frac{2gh}{u^2}} (especially since the term in the radical is dimensionless), but I've realized that it's the second one - the moral of the story is to use parentheses :smile:.

In this case, one method is to use the standard x(t) and y(t) to find y(x) and sub in y(R)=0 to get an equation that defines R implicitly as a function of \theta. Knowing this, you can find \tan(\theta_{\text{max}}) as a function of R_{\text{max}}, which you said you already found.
 
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