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

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Discussion Overview

The discussion centers around the concept of linear transformations, particularly in the context of deriving Lorentz transformations in physics. Participants explore the meaning of linearity, its implications for uniform rectilinear motion, and the mathematical foundations that support these ideas.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant expresses confusion about the meaning of linear transformations in the context of Lorentz transformations and seeks clarification on how uniform rectilinear motion relates to linearity.
  • Another participant proposes a definition of linear transformations using a mathematical expression involving space-time coordinates, suggesting that the coefficients do not depend on the coordinates.
  • A different viewpoint introduces the idea that linear transformations can include constant shifts, indicating a broader interpretation of linearity.
  • One participant defines linearity in terms of properties from linear algebra, emphasizing the significance of these properties for calculations and transformations.
  • Some participants express a desire for a less mathematical explanation of linearity, indicating that the existing mathematical discussions are intimidating for beginners.
  • There is mention of the existence of non-linear transformations that can still preserve uniform rectilinear motions, but some participants argue that non-linear transformations may be disregarded for reasons of smoothness.
  • A later reply suggests that deriving linearity from intuitive axioms may be complex and that alternative axioms exist, which may be more accessible but still require a certain level of mathematical understanding.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the implications of uniform rectilinear motion for linearity, with some arguing for a mathematical basis while others seek simpler explanations. Multiple competing views on the nature of linear transformations and their definitions remain present.

Contextual Notes

Participants acknowledge that understanding the details of linear transformations may require mathematical knowledge that some do not possess. The discussion reflects varying levels of comfort with mathematical concepts and the challenge of conveying these ideas without losing essential physics.

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 [itex]x_i (i=0,2,3,4)[/itex] be the space time coordantes, then if the new coordenates are [itex]x^{'}_i[/itex] we have
[tex]x^{'}_i=\sum_k a_{ik}x_k[/tex]
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.

[tex] x\acute{}_i=\sum_k a_{ik}\,x_k \,+ \, b_i[/tex]
 
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?
 
Last edited:
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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