Why Do Theorists Use Series Expansion in Lagrangian Models?

In summary, the conversation discusses the use of series expansion in Lagrangians, specifically in the context of chiral effective theories like the skyrme model. This technique allows for the calculation of quantum corrections to baryon properties and observables. The conversation also mentions a specific example and provides a link to a research article discussing this topic.
  • #1
Neitrino
137
0
Hi,
I have a following question...

Can it be that there is given some Lagrangian and instead of considering whole Lagrangian one makes its series expansion and considers only some orders of expansion? Can you bring some examples or why and when does this happen... ?

Thank you
 
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  • #2
One example are chiral effective theories like the skyrme model. The pion field appears as an SU(2) matrix

[tex]U(x)=e^{i\tau^a \phi^a(x)}[/tex]

Nucleons are described by classical solitons

[tex]U_0(x)=e^{i\tau^a \phi_0^a(x)}[/tex]

Now you can introduce fluctuations i.e. pions in a nucleon (soliton) background

[tex]U(x)=e^{i\tau^a (\phi_0^a + \pi^a)}[/tex]

and expand the resulting Lagrangian in \pi(x) up to second order; you can couple this Lagrangian to el.-mag. fields and calculate photo-pion production; you can quantize the \pi(x) fluctuations and calculate quantum corrections to nucleon masses and form factors; ...

Have a look at (e.g.)

http://arxiv.org/abs/hep-ph/9602359
Quantum Corrections to Baryon Properties in Chiral Soliton ModelsAuthors: Frank Meier, Hans Walliser
(Fachbereich Physik, U-GH Siegen, Germany)
(Submitted on 21 Feb 1996 (v1), last revised 14 Aug 1996 (this version, v2))
Abstract: We present a procedure to calculate 1-loop graphs in the soliton sector of chiral Lagrangians and use it to calculate quantum corrections to certain baryon observables in Skyrme-type models. Results generally show an improvement over the values obtained in tree approximation except for the case of the axial coupling g_A.
 

Related to Why Do Theorists Use Series Expansion in Lagrangian Models?

What is Lagrangian Taylor expansion?

Lagrangian Taylor expansion is a mathematical method used to approximate a function with a polynomial by using a fixed point and its derivatives.

Why is Lagrangian Taylor expansion important in science?

Lagrangian Taylor expansion allows scientists to approximate complex functions and make predictions based on limited information about the function. It is especially useful in physics and engineering to model physical systems and make calculations.

What is the formula for Lagrangian Taylor expansion?

The formula for Lagrangian Taylor expansion is f(x) = f(a) + f'(a)(x-a) + f''(a)(x-a)^2/2! + ... + f^(n)(a)(x-a)^n/n!, where f(x) is the function, a is the fixed point, and n is the number of terms in the polynomial.

What is the difference between Lagrangian and Maclaurin Taylor expansion?

Lagrangian Taylor expansion is centered around a fixed point, while Maclaurin Taylor expansion is centered around 0. This means that in Maclaurin expansion, a=0 and the formula simplifies to f(x) = f(0) + f'(0)x + f''(0)x^2/2! + ... + f^(n)(0)x^n/n!.

What are some practical applications of Lagrangian Taylor expansion?

Lagrangian Taylor expansion is used in many fields such as physics, engineering, finance, and computer science. Some practical applications include predicting the motion of objects in space, approximating the behavior of chemical reactions, and optimizing algorithms in computer programming.

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