Orthogonal transformation and mirror transformation

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SUMMARY

This discussion focuses on proving that any orthogonal transformation in Euclidean space can be expressed as a product of multiple mirror transformations. The definitions provided clarify that a mirror transformation is defined as A(α) = α - 2(η, α)η, while an orthogonal transformation satisfies (A(α), A(β)) = (α, β) for all α, β in V. The conversation emphasizes the importance of comparing these definitions and suggests using induction for higher dimensions, particularly when n=1 and n=2 have already been established. The intuitive principle discussed is that the reflection of a reflection restores the original orientation.

PREREQUISITES
  • Understanding of Euclidean space and its dimensions (dim V=n)
  • Familiarity with linear transformations and their properties
  • Knowledge of mirror transformations and orthogonal transformations
  • Basic principles of mathematical induction
NEXT STEPS
  • Study the definitions and properties of mirror transformations in detail
  • Learn about orthogonal transformations and their geometric interpretations
  • Research mathematical induction techniques, particularly in linear algebra contexts
  • Explore "Linear Algebra Done Wrong" by James Stewart, focusing on Theorems 5.1 and 5.2 for further insights
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Mathematicians, physics students, and anyone interested in linear algebra, particularly those studying transformations in Euclidean spaces and their applications in higher dimensions.

Leo-physics
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How to prove any orthogonal transformation can be represented by the product of many mirror transformations, please?What's the intuitive meaning of this proposition?
Thank you.
 
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You prove it by comparing the definitions, and writing an expression relating the two. You know, how you normally go about proving something in mathematics.
Start by writing out the mathematical expression for a mirror transformation, and also for an orthogonal transformation. What are they, how do they work? How general do you need the proof?

There does not need to be an intuitive idea embodied in a proposition. However, if there is one, it should emerge from the definitions of the terms.
 
Simon Bridge said:
You prove it by comparing the definitions, and writing an expression relating the two. You know, how you normally go about proving something in mathematics.
Start by writing out the mathematical expression for a mirror transformation, and also for an orthogonal transformation. What are they, how do they work? How general do you need the proof?

There does not need to be an intuitive idea embodied in a proposition. However, if there is one, it should emerge from the definitions of the terms.
Def:AL(V,V) V is Euclidean space ,dim V=n
A is mirror transformation ⇔ A ( α ) =α - 2 ( η, α ) η ( η∈V and ||η||=1) (∀α ∈ V)
Def:AL(V,V) V is Euclidean space ,dim V=n
A is orthogonal transformation ⇔ ( A(α) , A(β) )=(α,β). (∀α,β∈V)

Question:
Prove: If A is an orthogonal transformation over V (Euclidean space)
⇒∀α∈V A(α)=B1B2````BK (α) ( Bi is a mirror transformation over V , i=1,2······k)

(Note : When n=1 and n=2 it can be proved, then I am confused about higher dimension )
 
Leo-physics said:
When n=1 and n=2 it can be proved, then I am confused about higher dimension
If you have it for ##n=2## have you considered to do it by induction? It would help to see how you've done it.
 
Do you also have these matrices by a different name? I could not find anything on mirror matrices. This seems vto day that ortho matrices are generated by these mirror matrices
 
As above ... and it can help to pick a specific orthogonal transformation and see what happens, so you get a feel for how the transformations work.
The "intuitive" principle you are exploiting is that the reflection of a reflection is the right way around.
If you prefer, you can put a 1:1 scale image anywhere, in any orientation you like, by use of strategically placed mirrors.
 
Simon Bridge said:
As above ... and it can help to pick a specific orthogonal transformation and see what happens, so you get a feel for how the transformations work.
The "intuitive" principle you are exploiting is that the reflection of a reflection is the right way around.
If you prefer, you can put a 1:1 scale image anywhere, in any orientation you like, by use of strategically placed mirrors.
Ah I see, so the mirror transformation s are reflections? I think I remember orthogonal transformation s we're generated by shear maps. Is that what these mirror maps are?
 
Last edited:
You can check to see if what you think of as a reflection fits the definition of a "mirror transformation" given above.
 
Hi Leo-physics,
if you know how to prove this for a rotation in ##\mathbb R^2##, then you can get the desired statement from results in s.5 of Chapter 6 of "Linear Algebra Done Wrong", see Theorems 5.1, 5.2 there.
 

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