Understanding the generic nature of linearity in Physics

In summary, "Understanding the generic nature of linearity in Physics" explores how linearity serves as a foundational concept across various physical theories. It emphasizes the importance of linear relationships in simplifying complex systems, aiding in the prediction of behaviors and outcomes. The text discusses the implications of linear approximations in different contexts, including mechanics, electromagnetism, and quantum mechanics, and highlights the limitations and conditions under which linearity applies. Ultimately, it underscores the significance of recognizing linearity as a useful tool in the analysis and understanding of physical phenomena.
  • #1
zenterix
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Homework Statement
I'd like to understand an argument presented in the book "The Physics of Waves" by Howard Georgi.
Relevant Equations
The link to a free online version is below.
Here is a link to the book. This question is about the section between the end of page 6 to the start of page 9. That section discusses the "generic nature of linearity".

Let me go through the reasoning.

Suppose there is a particle moving along the ##x##-axis with potential energy ##V(x)##.

The gradient (in our case, just the simple derivative) of ##V(x)## is a conservative force.

$$F(x)=-\frac{d}{dx}V(x)$$

Suppose the force vanishes at a point of equilibrium ##x_0=0##.

$$F(0)=-V'(0)=0$$

Expand the force in a Taylor series.

$$F(x)=-V'(x)=-V'(0)-xV''(0)-\frac{1}{2}V'''(0)x^2+\ldots\tag{1.23}$$

The first term, ##-V'(0)## vanishes by our earlier assumption.

The second term looks like Hooke's law with

$$K=V''(0)\tag{1.24}$$

The equilibrium is stable if the second derivative of the potential energy is positive, so that ##x=0## is a local minimum of potential energy..

The important point is that for sufficiently small ##x##, the third term and all subsequent terms will be much smaller than the second.

The third term is negligible if

$$|xV'''(0)|<<V''(0)\tag{1.25}$$

Typically each extra derivative will bring with it a factor of ##1/L##, where ##L## is the distance over which the potential energy changes by a large fraction.

Then (1.25) becomes

$$x<<L$$

Question 1: What is this ##L## that is mentioned?

There are only two ways that a force derived from a potential energy can fail to be approximately linear for sufficiently small oscillations about stable equilibrium.

1) Potential is not smooth (first or second derivative of potential not well defined at equilibrium point).

2) Even if the derivatives exist, it may happen that ##V''(0)=0##. In this case, to have a stable equilibrium we must have ##V'''(0)=0## as well, otherwise a small displacement in one direction or the other would grow with time. Then the next term in the Taylor expansion dominates at small ##x##, giving a force proportional to ##x^3##.

Question 2: I don't really understand this point 2). We have ##V'(0)=V''(0)=0## and so the Taylor expansion becomes

$$F(x)=-\frac{1}{2}x^2V'''(0)-\frac{1}{6}x^3V^{(4)}(x)+\ldots$$

Suppose ##V'''(0)> 0##.

Suppose that ##x<0##, that is we are at a position below the equilibrium position ##x=0##. Then, the force will be negative which means negative acceleration and the particle will move further and further away from equilibrium.

If ##V'''(0)=0## and we have the fourth term non-zero, ##-\frac{1}{6}V^{(4)}(x)x^3## then we don't have the same issue because if ##x<0## then force is positive and if ##x>0## then force is negative. Ie, the force is restoring to equilibrium.

I think this answers my question 2.
 
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  • #2
I have another question about the example given to illustrate the reasoning above.

For example, consider the following potential energy

$$V(x)=E\left (\frac{L}{x}+\frac{x}{L}\right )\tag{1.27}$$

This is shown in the figure below

1715475181859.png

First of all, it is not clear to me what ##E## means in (1.27).

The minimum (at least for positive ##x##) occurs at ##x=L## so we first redefine ##x=X+L## so that

$$V(X)=E\left (\frac{L}{X+L}+\frac{X+L}{L}\right )$$

The corresponding force is

$$F(X)=E\left (\frac{L}{(X+L)^2}-\frac{1}{L}\right )\tag{1.29}$$
Shouldn't the negative sign in (1.29) be a positive sign?

We can look near ##X=0## and expand in a Taylor series

$$F(X)=-2\frac{E}{L}\left (\frac{X}{L}\right )+3\frac{E}{L}\left (\frac{X}{L}\right )^2+\ldots$$

Now the ratio of the first nonlinear term to the linear term is

$$\frac{3X}{2L}$$

which is small if ##X<<L##.
 
  • #3
zenterix said:
First of all, it is not clear to me what ##E## means in (1.27).
Just some constant energy. In the context of SHM it would be related to the amplitude.
zenterix said:
Shouldn't the negative sign in (1.29) be a positive sign?
No, it is right. Try it again.
 
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FAQ: Understanding the generic nature of linearity in Physics

What is linearity in physics?

Linearity in physics refers to a relationship between variables that can be expressed as a straight line when graphed. This means that if one variable changes, the other variable changes in a proportional manner. Linear systems obey the principle of superposition, which states that the net response at a given time or space is the sum of the responses from each individual input.

Why is linearity important in physics?

Linearity is important because it simplifies the analysis of physical systems. Many physical laws, such as Newton's laws of motion and Ohm's law, are linear, making them easier to solve mathematically. Understanding linear systems allows scientists to predict behavior, analyze stability, and design systems efficiently.

What are some examples of linear systems in physics?

Examples of linear systems in physics include Hooke's law for springs (force is proportional to displacement), electrical circuits with resistors (voltage is proportional to current), and simple harmonic motion (the restoring force is proportional to displacement). These systems exhibit linear behavior under certain conditions, allowing for straightforward mathematical modeling.

How do linear and nonlinear systems differ?

Linear systems exhibit proportional relationships and obey the principle of superposition, meaning the response to multiple inputs is the sum of individual responses. Nonlinear systems, on the other hand, do not have a constant proportionality; their responses can vary dramatically with small changes in input. This can lead to complex behaviors such as chaos, bifurcations, and multiple equilibria.

Can linearity be applied to all physical systems?

No, linearity cannot be applied to all physical systems. Many natural phenomena are inherently nonlinear, especially at extreme scales or under certain conditions, such as turbulence in fluids or the behavior of materials under large stress. While linear approximations can be useful for small deviations around an equilibrium point, they may not accurately capture the behavior of the system as a whole in nonlinear regimes.

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