Solving Problems with Orthogonal Vectors

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Homework Help Overview

The discussion revolves around solving problems related to orthogonal vectors and the Gram-Schmidt process in linear algebra. The original poster seeks assistance in understanding how to approach these problems involving vector sets and orthogonal bases.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the application of the Gram-Schmidt process to find orthogonal sets. Questions arise regarding the definition of "standard normal" vectors and how to select a basis that includes a specific vector for the second problem.

Discussion Status

Some participants have provided guidance on applying the Gram-Schmidt process and selecting appropriate basis vectors. There is an ongoing exploration of different interpretations of the problem requirements, particularly concerning the selection of vectors for the orthogonal basis.

Contextual Notes

There is mention of specific vectors and the need for independence among the chosen basis vectors. The original poster's understanding of the problem setup and the definitions of terms like "standard normal" are under discussion.

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I need some help in understanding what I need to do to solve these poblems, I can't get them started.

1. Find an orthogonal set of vectos that spans the same subspace as a,b,c.

a=(1,1,-1)
b=(-2,-3,1)
c=(-1,-2,0)

2. Use the Gram-Schmidt process to find and orthogonal basis that contains the vecto (-1,-4,2,-4)
 
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In 1., this IS the gram-schmidt process. Just apply it.

In 2., you have to pick some basis that contains that vector (try standard normal except for the vector) and then apply the gram-schmidt process.
 
Thanks,

I finished off #1.

For the second question, what is meant by standard normal? Does that mean to use (0,1,0,0), (0,0,1,0) and (0,0,0,1) with the original vector in gram-schmidt to find the orthogonal basis?
 
Yes. Or (1, 0, 0, 0), (0, 0, 1, 0), (0, 0, 0, 1) and the given vector, etc. In other words, any basis containing the given vector. By choosing 3 vectors from the "standard" basis you know they are independent, by making sure that your given vector has a non-zero number where the "missing" vector has a 1 you know that all 4 are independent and therefore, a basis.
 

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