Still having difficulty in my introduction to fields

The question is very clear. I'll restate it once again:I am understanding that the \bar{\delta} represents only the change in the functional form at the same value of x and \delta represents the total change.My difficulty is in the term \partial_{μ}f(x)\deltax^{μ}.What am I missing or misunderstanding in this term?If you need more background information, please ask for it.
  • #1
grzz
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Homework Statement


I was reading in a book that,

" For any function f(x) whose functional form changes from f(x) to f'(x), we can write
[itex]\bar{\delta}[/itex]f(x) = f'(x) - f(x)
= {f'(x') - f(x)} - {f'(x') - f'(x)}
= [itex]\delta[/itex]f(x) - [itex]\partial[/itex][itex]_{μ}[/itex]f(x)[itex]\delta[/itex]x[itex]^{μ}[/itex] "

I am understanding that the [itex]\bar{\delta}[/itex] represents only the change in the functional form at the same value of x and [itex]\delta[/itex] represents the total change.

My difficulty is in the term [itex]\partial[/itex][itex]_{μ}[/itex]f(x)[itex]\delta[/itex]x[itex]^{μ}[/itex].


Homework Equations





The Attempt at a Solution



If I expand {f'(x') - f'(x)} I get

f'(x[itex]^{μ}[/itex] + [itex]\delta[/itex]x[itex]^{μ}[/itex]) - f'(x[itex]^{μ}[/itex])
= f'(x[itex]^{μ}[/itex]) + [itex]\partial[/itex][itex]_{μ}[/itex]f'(x)[itex]\delta[/itex]x[itex]^{μ}[/itex] - f'(x[itex]^{μ}[/itex])

= [itex]\partial[/itex][itex]_{μ}[/itex]f'(x)[itex]\delta[/itex]x[itex]^{μ}[/itex] .

Hence I get the the [itex]\partial_{μ}[/itex] of f'(x) and not of f(x) as the book says.

Can somebody tell me what am I missing?
 
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  • #2
Tell us which book this is, or at least what is the domain or topic of this book or chapter.
Is that about calculus or functional programming?
What is the meaning of this sentense:

"any function f(x) whose functional form changes from f(x) to f'(x)"

What is the meaning of f'? A derivative or just another function.
What does that mean: a "functional form"?

I don't know what you are missing.
But I do know what I am missing: a clear question.
I have no doubt the answer would be a piece of cake if the question was clear.
 
  • #3
The difference is a second order term and it is neglected.
 
  • #4
Thanks maajdi for your reply.

Maybe the following will make it more clear.

The topic is on classical field theory which then leads to quantum field theory.

f(x) is any function of spacetime, e.g. the potential A[itex]_{μ}[/itex] of the electromagnetic field.

f' is not to be taken as any derivative of f.

The phrase “ …any function f(x) whose functional form changes from f(x) to f'(x) …” means that only the type of function is changing, i.e. from f to f’, but the old function f and of the new function f’ are evaluated at the same spacetime point x.

Any further help is much appreciated.
 
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  • #5
If this is field theory in the usual sense, and [itex]f[/itex] is a scalar (relativistic or non-relativistic) field, then the behavior under translations [itex]{x'}^{\mu}=x^{\mu}-\delta x^{\mu}[/itex], [itex]\delta x^{\mu}=\text{const}.[/itex], is defined (!) to be
[tex]f'(x')=f(x)=f(x'+\delta x)=f(x')+\delta x^{\mu} \partial_{\mu} f(x').[/tex]
 
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  • #6
So you have $$f'(x') = f'(x + \delta x) \approx f'(x) + \delta x^{\mu}\partial_{\mu} f(x)$$ and want to know what happened to the prime on the f at the end?

I have the same question, and have seen the above in other texts such as in Di Francesco's book on CFT. I thought it might be simply the case of having two functions f and f' that are numerically equal just different functions (one in the primed system, the other unprimed). But that is not the case here since we are only deciding between f(x) and f'(x).
Vanhees71, would you have any ideas?
 
  • #7
I am imagining that f(x) is a constant temperature field where f changes to f' just because the origin of the coordinates is changed. With that in my mind I understand the post of vanhees.

Thanks vanhees71.

But my difficulty is rather what CAF123 is hinting at.

My original quotation is on p22 from the book "A first book on qft", 2nd edition by Lahiri and Pal.
 
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  • #8
I think you need to remember the basis of the calculus of variations.
See for example:

http://home.comcast.net/~peter.m.brown/am/calc_var.htm

http://home.comcast.net/~peter.m.brown/am/image_gif/am02-img-01.gif

On this picture, you can see three different functions.
These functions have been chosen to have some common features, but that is not fundamental here.
Let's call them f1(x), f2(x), f3(x) .
You can consider the difference between two of these functions like this:

df12(x) = f1(x) - f2(x)

This difference accounts only for taking two different functions.

If you wish, you can also define a "combined difference" where both the functions and the x values are different:

Df12(x,x') = f1(x) - f2(x')

It looks like your question is about relating these two differences, assuming f1 and f2 are close as well as x and x'.
Using Taylor expansion, this is quite straightforward.
You will get the claimed result by eliminating any second-order term.
 
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  • #9
Let me use the notation of maajdi.

My original quotation from the book would then read as follows:

df12 = f1(x) - f2(x)

= {f1(x) - f2(x')} - {f2(x) - f2(x')}

= Df12(x,x') - {f2(x) - f2(x')}

= Df12(x,x') - {f2(x' + ε) - f2(x')} where x = x' + ε

= Df12(x,x') - {f2(x') + ε[itex]^{μ}[/itex]∂[itex]_{μ}[/itex]f2(x') - f2(x')}

= Df12(x,x') - ε[itex]^{μ}[/itex]∂[itex]_{μ}[/itex]f2(x').
 
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  • #10
CAF123 said:
So you have $$f'(x') = f'(x + \delta x) \approx f'(x) + \delta x^{\mu}\partial_{\mu} f(x)$$ and want to know what happened to the prime on the f at the end?

Well, how are you defining [itex]f'(x)[/itex]? As vanhees was saying, for a scalar field, it's natural to define (!*) the transformation law for the field as [itex]f'(x')=f(x)[/itex] (how else?). Then the steps vanhees made follow trivially.

* I put an exclamation point since vanhees did and I don't think you paid enough attention to it
 
  • #11
king vitamin said:
Well, how are you defining [itex]f'(x)[/itex]? As vanhees was saying, for a scalar field, it's natural to define (!*) the transformation law for the field as [itex]f'(x')=f(x)[/itex] (how else?). Then the steps vanhees made follow trivially.

* I put an exclamation point since vanhees did and I don't think you paid enough attention to it

I just understood what the topic was.
If I guess correctly, x and x' are two different system of coordinates.
And the question then is: how does the scalar field change when changing the coordinates! (Vanhees!)

This illustrates the need to state the problem very clearly.
In the current case, the reference to the book would have helped a lot.
Reading a few pages on Google Book would have made the question clearer.

Well, I am still interested to read a few page from this book, since I am still not totally sure about what the question is.
 
  • #12
The question also is what you want to describe physically with scalar fields. As an example take the temperature field, [itex]T(\vec{x})[/itex] that describes the temperature as measured at any point [itex]\vec{x}=(x_1,x_2,x_3)[/itex]. Now the temperature is a physical fact about the air in that room and doesn't care about which coordinate system we choose. Thus, we we simply change the description by shifting the origin of our coordinate system such that we use new coordinates [itex]\vec{x}'=\vec{x}-\vec{a}[/itex], the temperature at a given location doesn't change (why should it?). So the correct description is to introduce a new function [itex]T'(\vec{x}')[/itex] that describes the temperature at the same location using different coordinates as being independent of this choice of description, i.e., by
[itex]T'(\vec{x}')=T(\vec{x})=T(\vec{x}'+\vec{a}),[/itex]
and this leads to the general definition of how a scalar field transforms under spatial translations. It's dictated by the physical meaning of the description.
 
  • #13
Again I thank vanhees for his explanation.

I have no problem in understanding what vanhees says in his last post. That is what I meant when in one of my posts I said that

"I am imagining that f(x) is a constant temperature field where f changes to f' just because the origin of the coordinates is changed."

For any possible further discussion I am giving the quotation form the book: please see attachment.

In the last line the book has the partial derivative of f(x) and I managed to get the partial derivative of f'(x).
 

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  • #14
Hm, this book doesn't make it very clear. I think what they wanted to do is to distinguish between transformations concerning space time like Lorentz transformations or translations (or both together forming the Poincare group) from intrinsic transformations. One prominent example of the latter is to multiply with a phase factor (global U(1) invariance). There you have
[tex]\phi(x)=\exp(\mathrm{i} \alpha) \phi(x).[/tex]
Here you have the the space-time coordinates unchanged.

For transformations involving the space-time coordinates one always defines the transformed field as function of the new space-time variables. E.g., for a vector field you have the following behavior under Lorentz transformations:
[tex]x'=\Lambda x, \quad A'(x')=\Lambda A(x)=\Lambda A(\Lambda^{-1} x').[/tex]

There is a little difficulty of understanding when it comes to quantized fields and the corresponding unitary transformations. Then the unitary operation is understood as acting as follows (again for a vector field in a local QFT)
[tex]\hat{U}(\Lambda) \hat{A}(x) \hat{U}^{\dagger}(\Lambda)=\Lambda \hat{A}(\Lambda^{-1} x).[/tex]
Here on the left-hand side we act with the unitary representation of the Lorentz group (in Hilbert space). On the right-handside the [itex]\Lambda[/itex] is the corresponding Lorentz matrix with c-number entries acting in the usual way on the operator valued components of the vector field.

I hope, now the issue becomes clearer.
 
  • #15
king vitamin said:
Well, how are you defining [itex]f'(x)[/itex]? As vanhees was saying, for a scalar field, it's natural to define (!*) the transformation law for the field as [itex]f'(x')=f(x)[/itex] (how else?).
Yes, and in fact that is exactly what I was alluding to in my first post:
CAF123 said:
I thought it might be simply the case of having two functions f and f' that are numerically equal just different functions (one in the primed system, the other unprimed). But that is not the case here since we are only deciding between f(x) and f'(x)
However, at the case at hand, we are wondering where the prime went on the last expression for f. Consider the single variable case as an illustration, ##f(x+\delta x) \approx f(x) + \delta x df/dx##. That is fine, so shouldn't ##f'(x +\delta x) \approx f'(x) + \delta x^{\mu} \partial_{\mu} f'(x)##

All I did there is send f → f' really and put in indices because of the different dimension of the space.
 
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  • #16
Once more. I don't know, how to explain it differently. By definition we have
[tex]x'=x-\delta a, \quad f'(x')=f(x)=f(x'+\delta \alpha)=f(x')+\delta \alpha \mathrm{d}_x f(x') + \mathcal{O}(\delta a^2).[/tex]
Note that here the prime doesn't mean a derivative!
 
  • #17
grzz said:

The Attempt at a Solution



If I expand {f'(x') - f'(x)} I get

f'(x[itex]^{μ}[/itex] + [itex]\delta[/itex]x[itex]^{μ}[/itex]) - f'(x[itex]^{μ}[/itex])
= f'(x[itex]^{μ}[/itex]) + [itex]\partial[/itex][itex]_{μ}[/itex]f'(x)[itex]\delta[/itex]x[itex]^{μ}[/itex] - f'(x[itex]^{μ}[/itex])

= [itex]\partial[/itex][itex]_{μ}[/itex]f'(x)[itex]\delta[/itex]x[itex]^{μ}[/itex] .

Hence I get the the [itex]\partial_{μ}[/itex] of f'(x) and not of f(x) as the book says.

Can somebody tell me what am I missing?

2 lines above the quotation you post in the book they do the same thing(dropping the prime) arguing "as the difference is of higher order in ##\delta x^\lambda##"
 
  • #18
bloby said:
2 lines above the quotation you post in the book they do the same thing(dropping the prime) arguing "as the difference is of higher order in ##\delta x^\lambda##"

Yes, I think that's the key. The expression [itex]\partial[/itex][itex]_{μ}[/itex]f '(x)[itex]\delta[/itex]x[itex]^{μ}[/itex] is of first order due to the factor [itex]\delta[/itex]x[itex]^{μ}[/itex]. The expression will remain accurate to first order if you replace f '(x) by f(x), since f '(x) ≈ f(x) to "zeroth" order.
 
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  • #19
TSny said:
Yes, I think that's the key. The expression [itex]\partial[/itex][itex]_{μ}[/itex]f '(x)[itex]\delta[/itex]x[itex]^{μ}[/itex] is of first order due to the factor [itex]\delta[/itex]x[itex]^{μ}[/itex]. The expression will remain accurate to first order if you replace f '(x) by f(x), since f '(x) ≈ f(x) to "zeroth" order.
Ok, that makes sense. The transformation is an infinitesimal offset ##\delta x^{\mu}## so the new field at the same position in the unprimed system is approximately that of the old field (before the transformation) at the same position x.
 
  • #20
I thank everybody for the help given.
 
  • #21
The same explanation is given on p40 on the book, Field Quantization, by W. Greiner & J. Reinhardt. See attachment.
 

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1. What are fields in science?

Fields in science refer to the physical quantities that exist at every point in space and time. These quantities can include electric fields, magnetic fields, gravitational fields, and more. They are used to describe the interactions between particles and objects in the universe.

2. How are fields measured and studied?

Fields are measured and studied using various scientific instruments and techniques. For example, electric fields can be measured using an electric field sensor, while magnetic fields can be measured using a magnetometer. Scientists also use mathematical models and equations to study and understand fields.

3. What are some real-world applications of fields?

Fields have a wide range of applications in our daily lives. For instance, electric fields are used in electronics and electrical devices, while magnetic fields are essential for technologies such as MRI machines and compasses. Fields also play a crucial role in understanding and predicting natural phenomena such as the Earth's magnetic field and the movement of tectonic plates.

4. How do fields interact with matter?

Fields interact with matter through the exchange of particles. For example, electric fields interact with charged particles, such as electrons, causing them to move. Similarly, magnetic fields interact with magnetic materials, like iron, aligning their magnetic domains. The strength and direction of the field determine the type of interaction.

5. What are the current challenges in studying fields?

One of the main challenges in studying fields is the complex nature of their interactions and the difficulty in predicting their behavior. Additionally, the measurement of fields can be affected by external factors, making it challenging to obtain accurate results. Another ongoing challenge is the development of new technologies to accurately measure and manipulate fields on a smaller scale, such as in the field of nanotechnology.

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