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When making a projection of vector b on a, you take
a*aT/(aT*a) * b, but when in GramSchmidt, you take aT*b/(aT*a) *a, which are not the same, or are they? if they are, why?
 one year ago
 one year ago
When making a projection of vector b on a, you take a*aT/(aT*a) * b, but when in GramSchmidt, you take aT*b/(aT*a) *a, which are not the same, or are they? if they are, why?
 one year ago
 one year ago

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jbaramidzeBest ResponseYou've already chosen the best response.0
if a is column vector and b row vector, why is a*aT*b equal to aT*b*a
 one year ago

DanielxAKBest ResponseYou've already chosen the best response.1
As you have guessed, they are the same. This can be seen by working from the properties of inner products: a*a^T*b = a <a,b> = a <b,a> = a*b^Ta Eh, 10 days ago. I doubt you'll see this or need it anymore. The reason why this holds is because of the symmetric property of the inner product. Specifically, spaces where you can define an inner product allow you to generate an orthogonal basis, which is all you're really doing in the GramSchmidt process, which is why they are equivalent.
 one year ago

jbaramidzeBest ResponseYou've already chosen the best response.0
thanks daniel, I don't need it anymore, I had figured out that they are the same but why, I couldn't understand. thanks for help :))
 one year ago

rtcraigBest ResponseYou've already chosen the best response.0
A simple way to think about this is the inner product is a scalar and a scalar times a vector (or matrix) is the same as the vector (or matrix) times the scalar. You can put the scalar anywhere.
 9 months ago
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