Lagrangian on a saddle advice?

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The discussion focuses on deriving a Lagrangian for a particle constrained to move on the surface of a saddle defined by the equation z = x² - y², while also accounting for the saddle's rotation with angular frequency ω. The proposed method involves formulating the kinetic term in R³ and applying a constraint using a Lagrange multiplier to ensure the particle remains on the saddle surface. The constraint is expressed as λ(t)(z - ȳ² + ȳ²), where ȳ and ȳ are transformed coordinates that incorporate the rotation.

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Hi,

I am trying to obtain a Lagrangian for a particle moving on the surface of a saddle
z = x^2 - y^2

I have an added complication that the saddle is rotating with some angular frequency, w, and not sure how to incorporate this rotation into my kinetic and potential terms.

This is the kind of thing I am trying to model:
http://www.fas.harvard.edu/~scidemos/OscillationsWaves/SaddleShape/SaddleShape.html
But thought best to assume a particle for now, so don't have to worry about moment of inertia.

Does anyone have any advice on where to begin?

Any help will be much appreciated.

Thanks
 
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The most straightforward way I can think of for such a system is to write down the ordinary kinetic term in R^3, with zero potential term, and then implementing "the particle stays attached to the saddle" as a constraint (i.e., with a Lagrange multiplier). The constraint will look something like

[tex]\lambda(t) (z - \tilde x^2 + \tilde y^2)[/tex]

where

[tex]\begin{align*} \tilde x &= \cos (\omega t) \; x - \sin (\omega t) \; y \\ \tilde y &= -\sin (\omega t) \; x + \cos (\omega t) \; y \end{align*}[/tex]
 

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