How to Prove Lagrange's Equations for Shallow Water using Chain Rule?

In summary, the problem at hand involves using Lagrange's equations for a 2D continuous system to prove a given equation. The key to solving the problem lies in using the chain rule to expand the term \frac{\partial}{\partial a} \frac{\partial L}{\partial x_a} and simplifying the expression by taking into account the given relations between the variables. Additionally, remembering that the Lagrangian density is a function of x, y, \dot{x}, and \dot{y} can aid in determining which variables to take derivatives with respect to.
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bigevil
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Homework Statement



In a shallow layer of water, the velocity of water in the z direction may be ignored and is therefore [tex](\dot{x},\dot{y})[/tex]. We can define the Lagrangian coordinates such that the depth of water h is satisfied by the relations

Given that [tex]h = \frac{1}{\alpha}[/tex] and [tex]\alpha = \frac{\partial(x,y)}{\partial(a,b)}[/tex]

and the Lagrangian density is given as

[tex]L = \frac{1}{2}\dot{x}^2 + \frac{1}{2}\dot{y}^2 - \frac{1}{2}gh(x_a,x_b,y_a,y_b)[/tex]

where [tex]p_q = \frac{\partial p}{\partial q}[/tex].

Given further that Lagrange's equations for a 2D continuous system are known to be

[tex]
\frac{D}{Dt}\left( \frac{\partial L}{\partial\dot{x}} \right) + \frac{\partial}{\partial a} \left( \frac{\partial L}{\partial x_a} \right) + \frac{\partial}{\partial b} \left( \frac{\partial L}{\partial x_b} \right) - \frac{\partial L}{\partial x} = 0
[/tex]

with a similar equation for the y variable, prove that

[tex] \frac{D\dot{x}}{Dt} + g \frac{\partial h}{\partial x} = 0 [/tex]

Homework Equations



I know the general approach of this problem, but my main problem comes in substituting

[tex] \frac{\partial}{\partial a} \frac{\partial L}{\partial x_a} [/tex].

If I apply chain rule on the Lagrangian here,
[tex] \frac{\partial}{\partial a} \frac{\partial L}{\partial h} \frac{\partial h}{\partial x_a} = -\frac{g}{2} \frac{\partial}{\partial a} \frac{\partial h}{\partial x_a} [/tex]
How do I proceed after this point?
 
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  • #2

Thank you for your post. It seems like you are on the right track with your approach to this problem. In order to continue, you will need to use the chain rule again to expand the term \frac{\partial}{\partial a} \frac{\partial L}{\partial x_a} , taking into account that h = \frac{1}{\alpha} and \alpha = \frac{\partial(x,y)}{\partial(a,b)}. This will allow you to simplify the expression and eventually arrive at the desired result.

Another helpful tip is to keep in mind that the Lagrangian density L is a function of x, y, \dot{x}, and \dot{y}. This will help you determine which variables to take derivatives with respect to and how to apply the chain rule.

I hope this helps in solving the problem. Good luck!
 

What is "Shallow water Lagrangian"?

"Shallow water Lagrangian" is a mathematical model used in oceanography and meteorology to study the movement of water and other fluids near the Earth's surface. It is based on the Lagrangian framework, which describes the motion of individual particles as they move through a fluid. This model is used to understand and predict the behavior of shallow water systems such as oceans, lakes, and rivers.

What are the key assumptions of the "Shallow water Lagrangian" model?

The "Shallow water Lagrangian" model makes several key assumptions, including:

  • The fluid is incompressible, meaning its density does not change with depth.
  • The Earth's rotation and curvature can be neglected.
  • The fluid is shallow, meaning the vertical dimension is much smaller than the horizontal dimension.
  • The fluid can be treated as continuous, with no gaps or discontinuities.
  • Friction and viscosity are negligible.

How is the "Shallow water Lagrangian" model used in practical applications?

The "Shallow water Lagrangian" model is used in various practical applications, such as weather forecasting, ocean current prediction, and tsunami modeling. It helps scientists and researchers understand the behavior of fluids near the Earth's surface and make predictions about their movements and interactions with the environment.

What are the advantages of using the "Shallow water Lagrangian" model?

One of the main advantages of the "Shallow water Lagrangian" model is its simplicity. It does not require complex mathematical equations and can be easily applied to a wide range of shallow water systems. It also allows for the tracking of individual particles, which can provide valuable information about the behavior of the fluid. Additionally, the model can be easily incorporated into other models and simulations, making it a versatile tool for studying shallow water systems.

Are there any limitations to the "Shallow water Lagrangian" model?

Like any mathematical model, the "Shallow water Lagrangian" model has its limitations. It is only applicable to shallow water systems, meaning it cannot accurately predict the behavior of deep ocean currents or atmospheric processes. It also does not account for factors such as wind and air pressure, which can have a significant impact on the movement of water. Additionally, the model may not accurately represent highly turbulent or chaotic systems.

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