Finding the Projection of a Vector onto a Subspace

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SUMMARY

The discussion focuses on finding the projection of a vector \( x = \begin{bmatrix} 1 \\ 2 \\ 2 \end{bmatrix} \) onto a subspace \( S \) of \( \mathbb{R}^3 \) spanned by the vectors \( u_2 = \begin{bmatrix} \frac{2}{3} \\ \frac{2}{3} \\ \frac{1}{3} \end{bmatrix} \) and \( u_3 = \begin{bmatrix} \frac{1}{\sqrt{2}} \\ \frac{-1}{\sqrt{2}} \\ 0 \end{bmatrix} \). To find the projection, it is essential to first establish an orthogonal basis for \( S \), which can be achieved using the Gram-Schmidt process. The projection can then be computed using the formula for projecting onto a subspace defined by an orthonormal basis.

PREREQUISITES
  • Understanding of vector projection in linear algebra
  • Familiarity with the Gram-Schmidt process for orthogonalization
  • Knowledge of orthonormal bases in \( \mathbb{R}^3 \)
  • Basic operations with vectors and matrices
NEXT STEPS
  • Study the Gram-Schmidt process for generating orthogonal bases
  • Learn how to compute vector projections onto subspaces
  • Explore the properties of orthonormal bases in \( \mathbb{R}^3 \)
  • Practice problems involving projections of vectors onto planes
USEFUL FOR

Students and professionals in mathematics, physics, and engineering who are working with vector spaces and require a solid understanding of projections and subspaces in \( \mathbb{R}^3 \).

Dustinsfl
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Let S be a subspace of R3 spanned by u2=\left[ \begin{array} {c}<br /> \frac{2}{3} \\<br /> \frac{2}{3} \\ <br /> \frac{1}{3} \end{array} \right] and u3=\left[ \begin{array} {c}<br /> \frac{1}{\sqrt{2}} \\<br /> \frac{-1}{\sqrt{2}} \\ <br /> 0 \end{array} \right].
Let x=\left[ \begin{array} {c}<br /> 1 \\<br /> 2 \\ <br /> 2 \end{array} \right]. Find the projection of p of x onto S.

I know how to find projection but I am not sure about doing the projection on a subspace.
 
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how about finding an orthogonal basis of S (orthonormal is even better), then the projection of x onto each basis vector...?
 
or equivalently, S represents a plane in \mathbb{R}^3, so find the projection of X on that plane...
 

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