Unique set of vectors normal to a hyperplane

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Bipolarity
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Let's say we have a point-normal representation of a space:
[tex]n \cdot P_{0}P = 0[/tex] where n is a vector [itex]<a_{1},a_{2}...a_{n}>[/itex] and [itex]P_{0}[/itex] is a point through which the space passes and P is the set of all points contained in the space.

In [itex]ℝ^{2}[/itex], the point-normal representation defines a line.
In [itex]ℝ^{3}[/itex], the point-normal representation defines a plane.
In [itex]ℝ^{n}[/itex], the point-normal representation defines a hyperplane, or (n-1) dimensional affine space.

It can be shown that this affine space can be represented in component form as:
[tex]a_{1}x_{1} + a_{2}x_{2} + ... + a_{n}x_{n} = b[/tex]
where b is a constant.

My question is essentially asking about the converse of the representation done above: Can we go from the component-wise representation to the point-normal representation?
In other words, can we show that the only vectors normal to the space determined by [tex]a_{1}x_{1} + a_{2}x_{2} + ... + a_{n}x_{n} = b[/tex] are vectors of the form
[itex]t<a_{1},a_{2}...a_{n}>[/itex] where t is a scalar parameter?

BiP
 
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Hey Bipolarity.

You could use the identity that <tx,y> = t<x,y> for general inner products and if <x,y> = 0 then <tx,y> = t<x,y> = 0 for all x and y in the inner product space.