What does it mean if a transformation is 'linear'?

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The discussion centers on the concept of linear transformations in the context of Lorentz transformations, specifically for uniform rectilinear motion. Participants clarify that a transformation is linear if it satisfies two properties: scaling and additivity. The transformation equations can be expressed as x' = Σ a_ik x_k, where the coefficients a_ik are constant and independent of the coordinates. The implication that uniform motion in one frame remains uniform in another frame is crucial for establishing the linearity of these transformations.

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Nanyang
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Many authors seem to start deriving the Lorentz transformations (for a motions only in one direction) by first stating that the transformation equations have to be linear, and I am always lost at this part. What do they mean by that? How does "a uniform rectilinear motion in K must also be uniform and rectilinear in K' " explain that?

Many thanks in advance for the help and apologies if this has been raised many times. :smile:
 
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well, I'm no expert on this but I think I know what it means to be linear, let x_i (i=0,2,3,4) be the space time coordantes, then if the new coordenates are x^{'}_i we have
x^{'}_i=\sum_k a_{ik}x_k
where a_ik do not depend on the space time coordenates.
However I do have a question on the linearity issue and I think I will initiate a thread on that.
 
facenian is correct, but one can also have a shift in constant, e.g.

<br /> x\acute{}_i=\sum_k a_{ik}\,x_k \,+ \, b_i<br />
 
The term linear comes from linear algebra.

A transformation T is called linear if

(1) aT(u) = T(au)

(2) T(u+v) = T(u) + T(v).

Property (1) means that if you double the distance in one frame, then the distance doubles in the other.

Suppose the direction "up" transforms to "north" and "left" translates to "west". Property (2) then says walking up and to the left in one frame is the same as walking north and to the west in the other.

Linearity is very, very useful. It has a powerful synergy with the notion of a vector basis. Linear functions are convenient for calculations, too, because every linear transformation can be thought of as an NxM matrix. To apply a transformation, you simply do matrix multiplication between this matrix and the vector you want.
 
Thanks for the replies, I think I know what being linear means now. :smile:

However, I still do not understand how does "A uniform and rectilinear motion in K must also be uniform and rectilinear in K' " imply that the transformations are linear. I have read the other thread started by facenian on this issue but is scared away by all the math that I have never seen before. :redface:

So is there a much less mathematical way of putting it, for a 'beginner', without loss of any physics? Or is it like what is claimed in facenian's thread that the statement "A uniform and..." cannot be accounted for this linearity issue and that it was a guess that turned out to be correct?
 
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According to discussions on thread "Question on linearity..." I learned that it is true that there exist transformations that are not linear and preserve uniform an rectlinear motions but it seems that for reasons of smoothness transformations that are no linear mus be descarded. I'm afraid that to understand the details of all this a little math is needed.
 
Nanyang said:
However, I still do not understand how does "A uniform and rectilinear motion in K must also be uniform and rectilinear in K' " imply that the transformations are linear. I have read the other thread started by facenian on this issue but is scared away by all the math that I have never seen before. :redface:

So is there a much less mathematical way of putting it, for a 'beginner', without loss of any physics?
If the goal is to derive linearity from some well-defined axioms that are motivated by our intuition about physics, I don't think it gets any easier than my post #56 in the other thread. It is however possible to use a different set of axioms. There are other axioms that are just as "intuitive" and in a sense weaker than mine. See e.g. the article that atyy linked to on page 1. (It's a very good article, but it requires a lot of "mathematical maturity", meaning that even though all the information you need is in there, it's still difficult to understand it if you're not used to this way of thinking).
 

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