Linear transformations and orthogonal basis

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Homework Help Overview

The discussion revolves around linear transformations and orthogonal projections within the context of an orthogonal basis in Rn. The original poster defines a transformation Pk related to projecting vectors onto a subspace spanned by a specific basis vector.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants explore the definition of the transformation Pk and its relationship to orthogonal projections. Questions arise regarding the interpretation of the projection formula and the conditions under which the projection is defined.

Discussion Status

The discussion is active, with participants questioning the nature of the projection and its implications. Some guidance has been offered regarding the properties of orthogonal projections, but there is no explicit consensus on the relationship between Pk and the projection formula.

Contextual Notes

There are ongoing questions about the assumptions underlying the projection and the specific properties of the vectors involved. The clarity of notation and definitions is also under scrutiny.

stunner5000pt
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Let {E1,E2,...En} be an orthogonal basis of Rn. Given k, 1<=k<=n, define Pk: Rn -> Rn by [itex]P_{k} (r_{1} E_{1} + ... + r_{n} E_{n}) = r_{k} E_{k}.[/itex] Show that [itex]P_{k} = proj_{U} ()[/itex] where U = span {Ek}

well [tex]\mbox{proj}_{U} \vec{m}= \sum_{i} \frac{ m \bullet u_{i}}{||u_{i}||^2} \vec{u}[/tex]
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
[tex]\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}}[/tex]
and the whole stuff in front of each Ei can be interpreted as the Ri, a scalar multiple yes?
 
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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.
 
0rthodontist said:
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?
 
u is not 0
(v-u).u is 0 (i.e., v-u is orthogonal to u)
 
ok so (v-u).u = 0
but how does this equal to the Pk?
 

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