Solving Coupled EDOs in Lagrangian Mechanics: Is it Feasible?

In summary, the conversation discusses solving two coupled EDOs in the context of a Lagrangian mechanics problem for a rigid pendulum. It questions the feasibility of solving them analytically and also raises a physical question about the small angle approximation. The second post also considers the solvability of a second order non-linear ODE. Mathematica provides a solution for the integral involved in the problem, but the method of inverse function is unclear.
  • #1
quasar987
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I must solve the following two coupled EDOs in the context of a Lagrangian mechanics problem (a rigid pendulum of length l attached to a mass sliding w/o friction on the x axis). The problem statement does not mention that we can make small angle approximation. It says "find the equations of motion and solve them for the following initial conditions:...". Is this feasable?

[tex](m_1+m_2)\ddot{x}+m_2l\ddot{\theta}\cos(\theta)-m_2l\dot{\theta}^2\sin(\theta)=0[/tex]

[tex]l\ddot{\theta}+\ddot{x}\cos(\theta)+g\sin(\theta)=0[/tex]

They can be uncoupled but there remains a second order non-linear ODE to solve.

Is this doable analytically?

And an annexed question (perhaps this one is more of a physical nature): why can we say that [itex]\dot{\theta}\approx 0[/itex] in the small angle approximation? The angle can be small and nevertheless vary furiously fast. What indicates that if theta is small, the so is its derivative?
 
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  • #2
Same question but with

[tex]\ddot{y}+ay+b\cos(y)=0[/tex]

Solvable? (a,b are constants)
 
  • #3
The one in the second post is doable:

[tex] t+C_{2}=\int \frac{dy}{\sqrt{2C_{1}-ay^{2}-2b\sin y}} [/tex]

It remains to compute the integral.

Mathematica returns

[tex] \int \frac{dy}{\sqrt{2C_{1}-ay^{2}-2b\sin y}} =-\frac{2}{\sqrt{2C_{1}-ay^{2}-2b\sin y}} F\left[\frac{1}{4}\left(\pi -2y\right), \frac{4b}{-2C_{1}+ay^2 +2b}\right]\sqrt{\frac{2C_{1}-ay^{2}-2b\sin y}{2C_{1}-ay^{2}-2b}} [/tex]

Daniel.
 
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  • #4
So how do you inverse the function t?
 
  • #5
By an appropriate use of Jacobi's elliptic functions. In this case i think sine amplitudinis.

Daniel.
 

Related to Solving Coupled EDOs in Lagrangian Mechanics: Is it Feasible?

1. What is the importance of solving coupled EDOs in Lagrangian Mechanics?

Solving coupled EDOs (differential equations) in Lagrangian Mechanics is essential for understanding the behavior of complex systems in physics. This approach allows us to model and analyze the motion of objects in a dynamic system, taking into account all the forces and constraints acting on them.

2. What are the challenges involved in solving coupled EDOs in Lagrangian Mechanics?

The main challenge in solving coupled EDOs in Lagrangian Mechanics is the complexity of the equations involved. These equations can be highly non-linear and may require advanced mathematical techniques to solve. Additionally, the number of variables and constraints in a system can make it difficult to find a closed-form solution.

3. Is it feasible to solve coupled EDOs in Lagrangian Mechanics analytically?

In some cases, it is feasible to solve coupled EDOs in Lagrangian Mechanics analytically, especially for simple systems with few variables and constraints. However, for more complex systems, it may not be possible to find a closed-form solution, and numerical methods must be used instead.

4. What are some common techniques used to solve coupled EDOs in Lagrangian Mechanics?

Some common techniques used to solve coupled EDOs in Lagrangian Mechanics include the Euler-Lagrange equations, Hamilton's equations, and the Lagrange multiplier method. These techniques allow us to convert the problem into a set of ordinary differential equations that can be solved using numerical methods.

5. How can solving coupled EDOs in Lagrangian Mechanics contribute to scientific research?

Solving coupled EDOs in Lagrangian Mechanics is crucial for understanding the behavior of complex systems and predicting their future states. This knowledge can have significant applications in various fields such as physics, engineering, and biology. It also allows scientists to make accurate predictions and simulations, leading to advancements in technology and scientific research.

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