Reflections and Reflection Groups - Basic Geometry

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Math Amateur
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I am reading Kane's book on Reflections and Reflection Groups and am having difficulties with some basic geometric notions - see attachment Kane paes 6-7.

On page 6 in section 1-1 Reflections and Reflection Groups (see attachment) we read:

" We can define reflections either with respect to hyperplanes or vectors. First of all, given a hyperplane [itex]H \subset E[/itex] through the origin, let L = the line through the origin that is orthogonal to H. So [itex]E = H \oplus L[/itex]"

My question is why/how is [itex]E = H \oplus L[/itex]?

Can anyone help?

(see my intuitive diagrams - my notion of [itex]H \oplus L[/itex] is a line going through a plane)

Maybe I need to read some basic differential geometry?

Peter
 

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Math Amateur said:
I am reading Kane's book on Reflections and Reflection Groups and am having difficulties with some basic geometric notions - see attachment Kane paes 6-7.

On page 6 in section 1-1 Reflections and Reflection Groups (see attachment) we read:

" We can define reflections either with respect to hyperplanes or vectors. First of all, given a hyperplane [itex]H \subset E[/itex] through the origin, let L = the line through the origin that is orthogonal to H. So [itex]E = H \oplus L[/itex]"

My question is why/how is [itex]E = H \oplus L[/itex]?


*** Without the basic definitions I must rely on the standard ones, and then H is a hyperplane = a maximal proper subspace of E = the kernel of some non-zero lin. functional = a subspace of dimension n - 1 if dim E = n.

Thus, H is a hyperplane iff [itex]E=H\oplus Span\{v\}[/itex] , for any [itex]v\notin H[/itex] , and this is basic (not necessarily finite-dimensional) linear algebra, no differential geometry needed at all.

DonAntonio



Can anyone help?

(see my intuitive diagrams - my notion of [itex]H \oplus L[/itex] is a line going through a plane)

Maybe I need to read some basic differential geometry?

Peter

...
 
If H is a "hyperplane" in space E through the origin, E having dimension n, then H is a subspace of E of dimension n-1. There exist a basis for H consisting of n- 1vectors which can be extended to a basis for E by adding one more vector perpendicular to all the n-1 basis vectors in H. The space spanned by that one vector is L. every vector in E can then be written as a linear combination of the basis vectors for H, and so is in H, and a vector in L. That is essentially what "E= H⊕L" means.
 
Thanks for the help!

Thanks to your help, now over that "roadblock"

Peter