Proving Orthogonal Matrix with Identity Matrix and Non-Zero Column Vector a

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Assume that I is the 3\times 3 identity matrix and a is a non-zero column vector with 3 components. Show that:
I - \frac{2}{| a |^{2}}aa^{T} is an orthogonal matrix?My question is how can one take the determinant of a if it is not a square matrix? Is there a flaw in this problem?

Thanks
 
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I assume you are referring to the | a |^{2} and I also assume that is the inner product (dot product) for the vector. It's just a normalization factor
 
Yes. |a| is not a "determinant", it is the length of the vector a.
 
Remember that aa^{T} does NOT equal a^{T}.a, the scalar product. Use matrix multiplication. You don't need to find the determinant of anything either.
 
Prove $$\int\limits_0^{\sqrt2/4}\frac{1}{\sqrt{x-x^2}}\arcsin\sqrt{\frac{(x-1)\left(x-1+x\sqrt{9-16x}\right)}{1-2x}} \, \mathrm dx = \frac{\pi^2}{8}.$$ Let $$I = \int\limits_0^{\sqrt 2 / 4}\frac{1}{\sqrt{x-x^2}}\arcsin\sqrt{\frac{(x-1)\left(x-1+x\sqrt{9-16x}\right)}{1-2x}} \, \mathrm dx. \tag{1}$$ The representation integral of ##\arcsin## is $$\arcsin u = \int\limits_{0}^{1} \frac{\mathrm dt}{\sqrt{1-t^2}}, \qquad 0 \leqslant u \leqslant 1.$$ Plugging identity above into ##(1)## with ##u...

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