If x and y are parallel, then ha = b?

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SUMMARY

The discussion centers on proving a theorem regarding the relationship between two vectors, x and y, in the context of linear algebra. The theorem states that if x and y are parallel in the same direction, then x can be expressed as x = hy where h > 0; if they are in opposite directions, then x = hy with h < 0. The angle θ between the vectors is defined using the formula θ = cos^(-1)( / (||x|| · ||y||)), establishing that θ = 0 indicates parallelism in the same direction and θ = π indicates opposite directions. The user seeks assistance in completing the proof, having derived an initial equation involving the inner product and norms of the vectors.

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I defined the angle \theta between x \in \mathbb{R}^k and y \in \mathbb{R}^k in the way that:

\theta = \cos ^{-1}\frac{&lt;x,y&gt;}{||x|| \cdot ||y||}

where \cos ^{-1}:[-1,1] \to [0,\pi] is bijective.

And, therefore, x and y are parallel in the same direction if \theta = 0 and in the opposite direction if \theta = \pi.

Now I can't prove the following theorem within this context:

Theorem: If x and y are parallel in the same direction, then x = hy where h&gt;0, and if in the opposite direction, then x = hy with h&lt;0.

I feel very grateful if someone post the proof. Thanks.

(Please note that &lt;x,y&gt; = x_1 y_1 + \cdots + x_k y_k.)


Actually, what I've done so far for the proof is this:

&lt;x,y&gt;^2 = (||x|| \cdot ||y||)^2

\displaystyle{ x^2 _1 y^2 _1 + \cdots + x^2 _k y^2 _k + 2\sum_{i \neq j} x_i y_i x_j y_j = x^2 _1 y^2 _1 + \cdots + x^2 _k y^2 _k + \sum_{i \neq j} x^2 _i y^2 _j }

\displaystyle{ 2\sum_{i \neq j} x_i y_i x_j y_j = \sum_{i \neq j} x^2 _i y^2 _j }.

But from here I cannot progress further.
 
Last edited:
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Try computing the norm of (||y||/||x||)x-y.
 

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