Power Expantion in Lagrangian Derivation

In summary, In Mechanics by Landau-Lifgarbagez, during the derivation of the Lagrangian, a step is taken where the difference of two integrals is expanded in powers of \delta q and \delta \dot q. The leading terms are of first order, but this expansion is not shown in the book. A possible explanation for this is a Taylor expansion of the integrand.
  • #1
tharchin
3
0
In Mechanics by Landau-Lifgarbagez there is a step during the derivation of the Lagrangian where..

[tex] \int_{t_1}^{t_2} L(q+\delta q, \dot q + \delta \dot q, t ) \, \mathrm{d}t - \int_{t_1}^{t_2} L(q, \dot q, t ) \, dt [/tex]

then they write "when this difference is expanded in powers of [tex] \delta q [/tex] and [tex] \delta \dot q [/tex] in the integrand, the leading terms are of first order."

The don't show this expansion and I was hoping someone could point me to a reference where they do. Thanks.
 
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  • #2
tharchin said:
In Mechanics by Landau-Lifgarbagez there is a step during the derivation of the Lagrangian where..

[tex] \int_{t_1}^{t_2} L(q+\delta q, \dot q + \delta \dot q, t ) \, \mathrm{d}t - \int_{t_1}^{t_2} L(q, \dot q, t ) \, dt [/tex]

then they write "when this difference is expanded in powers of [tex] \delta q [/tex] and [tex] \delta \dot q [/tex] in the integrand, the leading terms are of first order."

The don't show this expansion and I was hoping someone could point me to a reference where they do. Thanks.

Hi tharchin,

I don't have the book at hand but he is probably just talking of a Taylor expansion of the integrand
[tex] L(q+\delta q, \dot q + \delta \dot q, t ) = L(q, \dot q, t ) + \frac{\partial L}{\partial q}\delta q +\frac{\partial L}{\partial \dot q}\delta \dot q[/tex]
 

1. What is the Lagrangian derivation method for power expansion?

The Lagrangian derivation method is a mathematical approach used to derive equations of motion in a system using the Lagrangian function. The Lagrangian function combines the kinetic and potential energy of a system and is used to minimize the action of the system. Power expansion in Lagrangian derivation involves expanding the Lagrangian function in a power series to obtain higher-order terms and improve the accuracy of the equations of motion.

2. Why is power expansion useful in Lagrangian derivation?

Power expansion is useful in Lagrangian derivation because it allows for the inclusion of higher-order terms in the equations of motion, which improves the accuracy of the results. This is especially important in systems with complex dynamics or non-linear behavior, where neglecting higher-order terms can lead to significant errors.

3. How is power expansion performed in Lagrangian derivation?

Power expansion is performed by expanding the Lagrangian function in a series of terms, where each term is multiplied by a coefficient that represents the order of the term. The first term in the series is the Lagrangian function itself, and each subsequent term is multiplied by a higher power of the displacement or velocity variables. These terms are then substituted into the Euler-Lagrange equation to obtain the equations of motion.

4. What are the limitations of power expansion in Lagrangian derivation?

One limitation of power expansion in Lagrangian derivation is that it can become computationally intensive for systems with a large number of degrees of freedom. In addition, the accuracy of the results is dependent on the convergence of the power series, which may not always be guaranteed. It is also important to note that power expansion is only applicable to systems with small displacements or velocities.

5. What are some practical applications of power expansion in Lagrangian derivation?

Power expansion in Lagrangian derivation is commonly used in the field of mechanics to derive equations of motion for systems such as pendulums, oscillators, and rigid bodies. It is also used in fields such as quantum mechanics and electrodynamics to study the behavior of particles and fields. Additionally, power expansion is used in engineering to model the motion of complex systems and in the design of control systems for industrial processes.

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