Why is the lagrangian polynomial in fields and derivatives

In summary, the conversation discusses the process of writing a Lagrangian in QFT and ensuring its renormalizability. The Lagrangian is a polynomial with finite terms, but some terms like f \phi\partial\phi may still appear. However, these terms cannot be included in the Lagrangian as they break isotropy in space-time.
  • #1
IRobot
87
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I started to answer this question, and I have quite a bit an answer, but still not complete, let's say that we write a Lagrangian in QFT, which an unknown function of the scalar field [tex]\phi[/tex] and its derivative [tex]\partial \phi[/tex]. We can always Taylor-expand it and get: [tex]L(\phi,\partial\phi) = a + b \phi + c \partial\phi + d \phi^2 + e \partial\phi^2 + f \phi\partial\phi + g \phi^3 + h \phi^2\partial\phi +[/tex] ...
But than, since we are in QFT, we need the Lagrangian to be renormalizable so we cut this expansion at the fourth level (couting [tex]\partial\phi[/tex] as a term of order 2). We then get a Lagrangian polynomial, with finite terms, and assuming that in the limit quantum to classical, the "shape" of Lagrangian doesn't change, this applies to classical field theory. But it is still incomplete because I can't get rid of some terms like [tex]f \phi\partial\phi[/tex]. Maybe knows how to finish this demonstration.
 
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  • #2
The Lagrangian is a Lorentz scalar. But a term like [tex]\phi (\partial_\mu \phi)[/tex] is a Lorentz vector, so can't appear in the Lagrangian. All vector indices have to be contracted, as in, say, [tex]\phi (\partial_\mu \phi) (\partial^\mu \phi)[/tex].
 
  • #3
Yes, I thought but we could have [tex]f^\mu\phi\partial_\mu\phi[/tex] we break isotropy in space-time so it can't correspond to the most general lagrangian, thank you ;)
 

1. Why is the Lagrangian polynomial used in fields and derivatives?

The Lagrangian polynomial is used in fields and derivatives because it provides a mathematical framework for describing the dynamics of a system. It allows for the calculation of the system's energy and momentum, and can be used to derive the equations of motion for the system.

2. How does the Lagrangian polynomial relate to the principle of least action?

According to the principle of least action, a physical system will follow a path that minimizes the action, which is equal to the integral of the Lagrangian over time. This means that the Lagrangian polynomial is a fundamental tool for understanding the behavior of physical systems and predicting their future states.

3. Can the Lagrangian polynomial be used for any type of system?

Yes, the Lagrangian polynomial can be applied to a wide range of physical systems, including classical mechanics, electromagnetism, and quantum mechanics. It is a powerful and versatile mathematical tool that has applications in many different fields of science and engineering.

4. What is the advantage of using the Lagrangian formalism over other methods of analysis?

One advantage of using the Lagrangian formalism is that it allows for a more elegant and concise description of a system's dynamics. It also provides a more intuitive understanding of the underlying physical principles at work, making it easier to analyze and solve complex problems.

5. How is the Lagrangian polynomial related to the Hamiltonian formalism?

The Hamiltonian formalism is closely related to the Lagrangian formalism, as both are based on the principle of least action. The Hamiltonian is derived from the Lagrangian, and it describes the total energy of a system. The two formalisms are equivalent and can be used interchangeably to analyze a system's dynamics.

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