Finding the Orthonormal Basis for a Given Subspace W

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SUMMARY

The discussion centers on finding the orthonormal basis for the subspace W defined by the equation x + 3y - 2z = 0 in R3, and subsequently calculating the orthogonal projection of the vector u = (2,1,3) onto this subspace. The Gram-Schmidt process is employed to create an orthogonal basis from a set of vectors that satisfy the subspace equation. The correct projection is determined to be 1/17*(26, 104), indicating the importance of accurately identifying the basis vectors and their orthonormalization.

PREREQUISITES
  • Understanding of inner product spaces and their properties
  • Familiarity with the Gram-Schmidt process for orthogonalization
  • Knowledge of vector projections in R3
  • Ability to solve linear equations and understand dimensions of subspaces
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  • Study the Gram-Schmidt process in detail to ensure proper orthogonalization of vectors
  • Learn about orthogonal projections in inner product spaces
  • Explore the concept of basis and dimension in vector spaces
  • Practice solving linear equations to find vectors orthogonal to given subspaces
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Students and educators in linear algebra, mathematicians working with vector spaces, and anyone involved in computational geometry or applied mathematics.

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Homework Statement


Find the orthogonal projection of the given vector on the given subspace W of the inner product space V?
V=R3, u = (2,1,3), and W = {(x,y,z): x + 3y - 2z = 0}
I don't understand how to find the orthonormal basis for W?


Homework Equations


I don't understand how to find the orthonormal basis for W?
I know once you have an orthonormal basis then you know that the projection is just
proj. = <u,v1>*v1 + <u,v2>*v2
where v1,v2 are the orthonormal vectors of the basis for W

The Attempt at a Solution


Since x + 3y -2z = 0 I took three vectors that are a solution to that system and then used the gram-schmidth to make them orthogonal, then normalized them, then used it to calculate the porjection but it came out wrong. It is supposed to be 1/17*(26 104) where 26 and 104 are in a column vector.
So basically, how to do you find the right basis for W?
 
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How do you end up with a two-dimensional vector when you're working in R3?

It would help if you showed us your actual work rather than just describing what you did.
 
  1. Find a basis for W (does it has to be orthonormal? do not think so), note dim(W) = 2
  2. find a non-zero vector z orthogonal to the basis vectors of W
  3. Solve cz + x = du, where x is a unknown vector in W and c and d are unknown scalars.
  4. Now x is your projection.
 
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