Understanding Euclidean Group E(n) Elements

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The discussion centers on the Euclidean group E(n) and the correct multiplication of its elements, represented as (O, b), where O is an orthogonal matrix and b is a translation vector. The initial attempt to multiply two elements leads to an incorrect result due to misapplying the distributive property, resulting in a double counting of the translation vector. The correct approach recognizes that the transformation is not linear, highlighting the distinction between linear transformations and affine transformations. The conversation emphasizes the importance of understanding the non-linearity in translations within the context of group operations. This exploration into the structure of E(n) reveals deeper insights into transformations in both mathematics and physics.
ChrisVer
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Well I am not sure if this thread belongs here or in mathematics/groups but since it also has to do with physics, I think SR would be the correct place.
An element of the Euclidean group E(n) can be written in the form (O,\vec{b}) which acts:
\vec{x} \rightharpoondown O\vec{x}+\vec{b}
With O \in O(n) and \vec{b} \in R^{n}
This would mean that the vector \vec{x} would be rotated by some angle and then translated by a vector.

Now I'm having a certain problem. Since it's a group, the multiplication of two of its elements should be an element itself.
this I write:
(O_{2},\vec{b_{2}})(O_{1},\vec{b_{1}})\vec{x}
giving:
(O_{2},\vec{b_{2}}) (O_{1}\vec{x}+\vec{b_{1}})

From here I followed two paths which I think the first gives a wrong answer, while I'm pretty sure the 2nd gives the correct one... However I don't understand what's their difference.

wrong path
(O_{2},\vec{b_{2}}) (O_{1}\vec{x}+\vec{b_{1}})=(O_{2},\vec{b_{2}}) O_{1}\vec{x}+(O_{2},\vec{b_{2}}) \vec{b_{1}}
which gives:
O_{2} O_{1}\vec{x}+\vec{b_{2}} +O_{2} \vec{b_{1}} + \vec{b_{2}}
see the two times of \vec{b_{2}} appearing

correct path
I write that:
(O_{2},\vec{b_{2}}) (O_{1}\vec{x}+\vec{b_{1}})=(O_{2},\vec{b_{2}}) \vec{x_{2}}
So I get:
O_{2}\vec{x_{2}}+\vec{b_{2}}
and reentering the definition of x_{2}=O_{1}\vec{x}+\vec{b_{1}} I get:
O_{2}O_{1}\vec{x}+O_{2}\vec{b_{1}}+\vec{b_{2}}

So here we have \vec{b_{2}} only once...
I was able to distinguish the correct from the wrong due to physical imaging (by double rotations and translations), however I don't understand (or more precisely see) what's the difference (and so the wrong in the 1st case) between the two approaches...
 
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In method 1 you're trying to use the distributive law where it does not apply. You're saying Tb(x + y) = (x + b) + (y + b), whereas it should be just Tb(x + y) = x + y + b.
 
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In other words, the transformation is not linear. f(x+y) not equal to f(x) + f(y) in general.
 
I think the problem of non-linearity is in the translations part... that's kinda funny, thanks...
 
yep. it is pretty interesting. try looking up affine transformation, that should give more info on this topic.
 
MOVING CLOCKS In this section, we show that clocks moving at high speeds run slowly. We construct a clock, called a light clock, using a stick of proper lenght ##L_0##, and two mirrors. The two mirrors face each other, and a pulse of light bounces back and forth betweem them. Each time the light pulse strikes one of the mirrors, say the lower mirror, the clock is said to tick. Between successive ticks the light pulse travels a distance ##2L_0## in the proper reference of frame of the clock...

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