Linear transformations and orthogonal basis

[stunner5000pt]

Let {E1,E2,...En} be an orthogonal basis of Rn. Given k, 1<=k<=n, define Pk: Rn -> Rn by P_{k} (r_{1} E_{1} + ... + r_{n} E_{n}) = r_{k} E_{k}. Show that P_{k} = proj_{U} () where U = span {Ek}

well \mbox{proj}_{U} \vec{m}= \sum_{i} \frac{ m \bullet u_{i}}{||u_{i}||^2} \vec{u}<br />
right?
here we have Pk transforming linear combination of the orthogonal basis into rk Ek same index as the subscript of P

would it turn into
\mbox{proj}_{U} \vec{m}= \frac{ m \bullet E_{1}}{||E_{1}||^2}\vec{E_{1}} + ... + \frac{ m \bullet E_{n}}{||E_{n}||^2}\vec{E_{n}}
and the whole stuff in front of each Ei can be interpreted as the Ri, a scalar multiple yes?

 

[0rthodontist]

You can approach it with fewer symbols by simply noting that the orthogonal projection of a vector is the unique vector that is orthogonal to (the vector minus the projection fo the vector). That is, iff v is a vector and u is its orthogonal projection onto some subspace U, then (v - u) . u = 0, and u is in U.

 

[stunner5000pt]

You can approach it with fewer symbols by simply noting that the orthogonal projection of a vector is the unique vector that is orthogonal to (the vector minus the projection fo the vector). That is, iff v is a vector and u is its orthogonal projection onto some subspace U, then (v - u) . u = 0, and u is in U.

why is u = 0?

 

[Euclid]

u is not 0
(v-u).u is 0 (i.e., v-u is orthogonal to u)

 

[stunner5000pt]

ok so (v-u).u = 0
but how does this equal to the Pk?