Solving ODE Oscillations: Find T for Buoy & Train Round Trip

In summary, it is important to critically evaluate and question answers presented in scientific content, as there may be simplifications or mistakes that need to be addressed.
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djh101
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1. A spherical buoy of radius r floats half-submerged in water. If it is depressed slightly, a restoring force equal to the weight of the displaced water presses it upward; and if it is then released, it will bob up and down. Find the period of oscillation if the friction of the water is neglected.

T = 2π/ω
y'' + ω2y = 0
F = my'' = .5Vwaterρwaterg
y = cos(ωt) & y'' = ω2cos(ωt)

So ω needs to be found, which can be done by setting t = 0 and amax = ω2 = .5Vρg.
.5V = 2/3πr3 and ρ = 1, so ω2 = 2/3πr3g.
All that is left is to take the square root and divide from 2 to get T. However, the book gives the answer 2π√(2r/3g)s.
Summary: [itex]2\pi\sqrt{\frac{3}{2\pi r^{3}g}} \neq 2\pi\sqrt{\frac{2r}{3g}}[/itex]


2. Suppose that a straight tunnel is drilled through the Earth between any two points on the surface. If tracks are laid, then a train placed in the tunnel at one end will roll through the Earth under its own weight, stop at the other end, and return. Estimate the value of the time required to complete one round trip.

y'' = g = GM/y2
M = 4/3 πR3ρ
y'' = 4/3 πGρy, which gives ω2 = 4/3 πGρ. The book, however, gives T = 2π√(R/g).
Summary: [itex]2\pi\sqrt{\frac{3}{4πGρ}} \neq 2\pi\sqrt{\frac{R}{g}}[/itex]

Am I over thinking these? The answers in the book are pretty simple, but I'm having a little bit of a hard time figuring out where they came from.
 
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it is important to always critically evaluate and question the results and answers presented to you. It is possible that the book has simplified the equations or assumptions for the sake of clarity or ease of understanding. It is also possible that there may be a mistake in the book's answer, and it is always important to double check your calculations and assumptions. Don't be afraid to seek clarification or ask for help if needed. Remember, science is all about questioning and seeking the truth.
 

Related to Solving ODE Oscillations: Find T for Buoy & Train Round Trip

1. How do I solve for T in an ODE oscillation problem involving a buoy and train round trip?

To solve for T in this problem, you will need to use the formula T = 2π/ω, where ω is the angular frequency. To find ω, you will first need to find the natural frequency (ω0) and the damping ratio (ζ) using the given values and equations. Then, plug these values into the formula ω = ω0√(1-ζ^2) to find ω. Finally, substitute ω into the formula T = 2π/ω to solve for T.

2. What is the significance of the natural frequency in an ODE oscillation problem?

The natural frequency (ω0) represents the frequency at which the system would oscillate if there were no external forces or damping present. It is a characteristic property of the system and can be calculated using the equation ω0 = √(k/m), where k is the spring constant and m is the mass of the system.

3. How does the damping ratio affect the oscillations in this problem?

The damping ratio (ζ) represents the amount of damping present in the system. A higher damping ratio means there is more resistance to the oscillations, resulting in a slower decay of the oscillations. On the other hand, a lower damping ratio means there is less resistance and the oscillations will decay more quickly. In this problem, the damping ratio is a crucial factor in determining the value of T.

4. Can I use this same method to solve for T in other ODE oscillation problems?

Yes, the method of using the natural frequency and damping ratio to find ω and then substituting it into the formula T = 2π/ω can be used in other ODE oscillation problems as well. However, the specific equations used to find ω0 and ζ may vary depending on the system and the given information.

5. Is there a faster or more efficient way to solve for T in this problem?

Yes, there are various numerical methods that can be used to solve for T in ODE oscillation problems. These methods involve using computer algorithms to approximate the value of T, which can be more efficient and accurate than using analytical methods. However, these methods may require more advanced mathematical knowledge and computer programming skills.

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