Finding the Orthonormal Basis for a Given Subspace W

In summary, the conversation discusses how to find the orthogonal projection of a vector on a given subspace in an inner product space. The solution involves finding an orthonormal basis for the subspace, using the Gram-Schmidt process, and then calculating the projection using the formula proj. = <u,v1>*v1 + <u,v2>*v2, where v1 and v2 are the orthonormal vectors of the basis. The conversation also addresses the issue of finding a two-dimensional vector in a three-dimensional space and suggests finding a non-zero vector orthogonal to the basis vectors of the subspace to use in the projection calculation.
  • #1
goffinj
2
0

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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  • #2
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.
 
  • #3
  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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Related to Finding the Orthonormal Basis for a Given Subspace W

What is an orthogonal projection?

An orthogonal projection is a type of projection in which the projected image is perpendicular to the projection plane. This means that all lines in the original object are projected onto the projection plane at a right angle.

What is the purpose of using orthogonal projections?

Orthogonal projections are commonly used in engineering, architecture, and mathematics to represent three-dimensional objects in two dimensions. They also have practical applications in computer graphics and computer-aided design (CAD).

How is an orthogonal projection different from a perspective projection?

An orthogonal projection preserves the relative sizes and shapes of objects, while a perspective projection distorts them in order to create the illusion of depth. In perspective projections, objects that are farther away appear smaller than objects that are closer.

What are the types of orthogonal projections?

There are three main types of orthogonal projections: isometric, dimetric, and trimetric. These differ in the angle at which the object is viewed and the amount of foreshortening of the object's dimensions in the projection.

What are some real-world examples of orthogonal projections?

Some common examples of orthogonal projections include floor plans, blueprints, and technical drawings. They are also used in map-making and in the creation of engineering schematics and diagrams.

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