Scaling / engineering dimensions for these interacting fields?

In summary, the Lagrangian given includes a spin-half Dirac field with mass m, a spin-0 field with mass M, and a coupling constant \lambda. The scaling/engineering dimensions for m and M are both energy, while the dimension for \lambda is energy to the power of d-4, where d is the number of spatial dimensions. This can also be expressed in terms of length by using the conversion factor [E]=L^{-1}.
  • #1
Dixanadu
254
2
Hi guys,

So I have the following Lagrangian:

[itex]\mathcal{L}=\bar{\psi}(i\partial_{\mu}\gamma^{\mu}-m)\psi+\frac{1}{2}(\partial_{\mu}\phi)(\partial^{\mu}\phi)-\frac{M^{2}}{2}\phi^{2}-\lambda\bar{\psi}\psi\phi[/itex]

where m is the is the mass of the spin-half Dirac field and M is the mass of the spin-0 field.

I was wondering: how do I find the scaling/engineering dimensions for the [itex]\lambda[/itex] and both fields?
 
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  • #2


Hi there,

To find the scaling/engineering dimensions for \lambda and both fields, you can use the following equations:

For the spin-half Dirac field \psi: [m]=L^{-1} (where L is length)

For the spin-0 field \phi: [M]=L^{-1}

For the coupling constant \lambda: [\lambda]=L^{d-4} (where d is the number of spatial dimensions)

These dimensions can also be written in terms of energy by using the conversion factor [E]=L^{-1}. So the dimensions for m and M would be [m]=E and [M]=E, and the dimension for \lambda would be [\lambda]=E^{d-4}.

I hope this helps! Let me know if you have any further questions.
 

1. What is scaling in the context of engineering dimensions?

Scaling refers to the process of adjusting the size or proportions of various components within a system in order to optimize its functionality or performance. In engineering dimensions, scaling is used to ensure that all the interacting fields within a system are properly balanced and can function together effectively.

2. Why is it important to consider scaling when designing systems with interacting fields?

Scaling is crucial in designing systems with interacting fields because it helps to ensure that all components within the system are properly sized and proportioned to work together seamlessly. Without proper scaling, there may be imbalances or inefficiencies within the system, leading to potential malfunctions or failures.

3. How do you determine the appropriate scaling for interacting fields?

The appropriate scaling for interacting fields can be determined through various methods, such as mathematical modeling, simulation, and experimentation. These approaches help to analyze the relationships between different components and determine the optimal size and proportions for each component.

4. Can scaling be applied to all types of systems with interacting fields?

Yes, scaling can be applied to a wide range of systems with interacting fields, including mechanical, electrical, and biological systems. The principles of scaling can be used to optimize the functioning of any system that involves multiple interacting fields.

5. How can scaling be used to improve the performance of a system with interacting fields?

Scaling can improve the performance of a system with interacting fields by ensuring that all components are properly sized and proportioned to work together efficiently. This can lead to better overall functioning, reduced energy consumption, and increased reliability of the system.

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