Meaning of coefficients in polynomial potential for scalar field

In summary, the coefficients in a polynomial potential for a scalar field represent the strength and nature of interactions within the field. Each coefficient corresponds to a specific term in the polynomial, influencing the field's dynamics, stability, and potential energy landscape. The leading coefficient determines the behavior of the potential at large field values, while lower-order coefficients affect the local minima and maxima, shaping the field's vacuum states and phase transitions. Understanding these coefficients is crucial for analyzing the physical implications of the scalar field in various theoretical frameworks.
  • #1
PhysicsRock
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Homework Statement
For a potential ##V(\phi) = \sum_{k=0}^N c_k \phi^k##, we set ##c_k = 0## for all ##k \neq 2##. What is the physical meaning of ##c_2##?
Relevant Equations
Equation of motion ##\partial_\mu \partial^\mu \phi = 2c_2 \phi##.
For the solution of the equation of motion, we take a plane wave ##\phi(x) = e^{ik_\mu x^\mu}##. Plugged in, we obtain

$$
-(k_0)^2 + (\vec{k})^2 = 2c_2 \Rightarrow k_\mu k^\mu = 2c_2
$$

One can then find the group velocity (using ##(k_0)^2 = \omega^2##) to be

$$
\vec{v}_g = \frac{\vec{k}}{\sqrt{ \vec{k}^2 - 2c_2 }}
$$

which does not break causality only if ##c_2 \leq 0##. This leads to the assumption, at least from my perspective, that ##c_2## must be related to the mass / be the mass of the field, since if ##m = 0##, the field would propagate at the speed of light. However, using ##2c_2 = k_\mu k^\mu##, we can see that ##c_2## must have the same unit as ##k_\mu k^\mu##, i.e. m##^{-2}## in S.I. units.

Did I make a mistake along the way or am I misinterpreting the meaning of ##c_2 \leq 0##? Help is highly appreciated.
 
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  • #2
I think I've figured it out. We can set ##c = \hbar = 1##. Then ##p^\mu = k^\mu##, which implies ##k_\mu k^\mu = p_\mu p^\mu = p^2 = -m^2##. Thus, we get ##2c_2 = -m^2 \Leftrightarrow c_2 = -\frac{m^2}{2}##.
 

FAQ: Meaning of coefficients in polynomial potential for scalar field

What is a polynomial potential in the context of a scalar field?

A polynomial potential in the context of a scalar field refers to a potential energy function that is expressed as a polynomial in terms of the scalar field. This means that the potential energy can be written as a sum of terms, each of which is a constant coefficient multiplied by the scalar field raised to some power.

What do the coefficients in a polynomial potential represent?

The coefficients in a polynomial potential represent the strength and nature of the interactions within the scalar field. Each coefficient corresponds to a term in the polynomial and determines the contribution of that term to the overall potential energy. For example, a quadratic term with a specific coefficient might represent a mass term, while higher-order terms can represent self-interactions or other effects.

How do the coefficients affect the shape of the potential?

The coefficients affect the shape of the potential by determining the relative weight of each term in the polynomial. For instance, a large positive coefficient for a quadratic term will make the potential steeply parabolic, while a negative coefficient for a quartic term might introduce a double-well structure. The interplay between different coefficients shapes the overall profile of the potential energy landscape.

Why are higher-order terms in the polynomial potential important?

Higher-order terms in the polynomial potential are important because they can introduce non-linear interactions and complex behavior in the scalar field. These terms can lead to phenomena such as spontaneous symmetry breaking, phase transitions, and the formation of topological defects. They are essential for capturing the full dynamics of the field and for understanding various physical scenarios.

Can the coefficients in a polynomial potential be determined experimentally?

Yes, the coefficients in a polynomial potential can often be determined experimentally by fitting the potential to observed data. This might involve measuring the behavior of the scalar field under various conditions and using techniques such as regression analysis to estimate the values of the coefficients. In some cases, theoretical models and simulations can also provide estimates for these coefficients.

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