Projecting a vector onto a plane problem

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To project a vector 'u' onto a plane spanned by two vectors 'v1' and 'v2', the formula involves calculating the projection as P(u) = c1*v1 + c2*v2, where c1 and c2 are the inner products of 'u' with 'v1' and 'v2', respectively. The discussion highlights that the vectors should ideally be mutually orthogonal unit vectors to ensure the projection property holds. A matrix can be constructed to perform this transformation, which would apply the projection operation to any vector 'V' into the defined plane. The conversation emphasizes the simplicity of the projection process once the correct approach is understood. Understanding these concepts is crucial for effectively working with vector projections in linear algebra.
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how would one go about spanning a vector say 'u' onto a plane spanned by vectors v1 and v2.

I have a formula for projecting a vector onto say a subspace w:
projw(u) = <u,v1>v1 + <u,v2>v2 + ... <u,vn>vn
But I'm unsure how to use this for when I need to project the vector onto a plane spanned by 2 other vectors.

Thanks.
 
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dcl : I am confused by the fact that you provide the correct formula !

Say you have a vector \vec{V}=\{V_i\} with components indiced by i in a general n dimensional linear (vector) space : i\in \{0,1,2,\cdots ,n\}. Say in this n dimensional space you have a plane defined by two vectors \vec{u}^{(1)} = \{u^{(1)}_i\} and \vec{u}^{(2)} = \{u^{(2)}_i\}. Then the straightforward application of your formula leads to the projection P(\vec{V}) of the vector \vec{V} onto the plane spanned by \vec{u}^{(1)} and \vec{u}^{(2)} :

P(\vec{V}) = \sum_{i=1}^2 \langle \vec{u}^{(i)},\vec{V} \rangle \vec{u}^{(i)} = c_1 \vec{u}^{(1)} + c_2 \vec{u}^{(2)}

with c_1 = \langle \vec{u}^{(1)},\vec{V} \rangle = \sum_{i=1}^n u^{(1)}_i V_i and c_2 = \langle \vec{u}^{(2)},\vec{V} \rangle = \sum_{i=1}^n u^{(2)}_i V_i
 
Thanks for that, guess it was simpler than I thought. :)
 
If I'm not mistaken,
in projw(u) = <u,v1>v1 + <u,v2>v2 + ... <u,vn>vn ,
the v1,...,vn should be mutually-orthogonal unit vectors
since a projection must satisfy projw(projw(u))=projw(u).
 
How could you create a matrix that performs this transformation? In other words, what matrix would project any vector V into the plane spanned by v1 and v2?
 
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