Gram-Schmidt orthonormal basis

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Homework Help Overview

The discussion revolves around the application of the Gram-Schmidt process to convert a set of vectors in R^3 into an orthonormal basis, utilizing a specific inner product defined as = u1v1 + 2u2v2 + 3u3v3.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the steps involved in the Gram-Schmidt process, particularly focusing on how to apply the defined inner product to normalize the vectors. There is uncertainty about the correct application of the inner product in the normalization process and the sequence of operations.

Discussion Status

Some participants have provided guidance on the normalization of vectors and the use of the inner product, while others express confusion about the application of the inner product throughout the process. Multiple interpretations of the steps involved are being explored, with no explicit consensus reached.

Contextual Notes

Participants mention that this is a homework problem, indicating that there may be constraints or specific expectations from the assignment that influence their approach to the problem.

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Homework Statement


Let R^3 have the inner product <u, v> = u1v1 + 2u2v2 + 3u3v3. Use the Gram-Schmidt process to convert u1=(1,1,1), u2 = (1,1,0), u3 = (1,0,0) into a normal orthonormal basis


Homework Equations


I know the process for the orthonomoral converasion. I have no problem with that. I hope I can skip typing those equations out.

The Attempt at a Solution


My confusion is how to use the equation for the dot product. I am thinking that I need to do the Gram-Schmidt process then somehow put the result into the dot product equation.

If I phrased anything wrong or left out something pertinent I apologize this is my first post. So I tried to follow the rules.
 
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If you know the formula, then what is the problem? You have the vectors and the inner product, so you just plug and chug.
Let's start you off - we need to normalize u_1, i.e replace u_1 with

u_1/ sqrt(<u_1,u_1>) = u_1/sqrt(6).

Note that this is the least sensible way to do this. It would be better to use u_3 as the first element to orthonormalize, since that satisfies <u_3,u_3> = 1, i.e. it is already a unit vector. But I presume that the book/class wants you to go through them in order and normalize u_1 to get v_1, then to work out u_2 - <u_2,u_1> and normalize that, etc.
 
Then maybe I am reading too far into. I am just not sure how the dot product equation in the beginning of question is utilized. As in after I convert [tex]\vec{u_1}[/tex], [tex]\vec{u_2}[/tex], [tex]\vec{u_3}[/tex]. So do I just plug in the new normalized [tex]\vec{u_1}[/tex], [tex]\vec{u_2}[/tex], [tex]\vec{u_3}[/tex] and then use [tex]\vec{u_1}[/tex] = [tex]\vec{v_1}[/tex], [tex]\vec{u_2}[/tex]=[tex]\vec{v_2}[/tex], [tex]\vec{u_3}[/tex]=[tex]\vec{v_3}[/tex] into <u, v> = u1v1 + 2u2v2 + 3u3v3.
 
The general Gramm-Schmidt formula reads:

[tex]v_j=a_j-\left( \frac{\langle a_j,v_1 \rangle}{\langle v_1,v_1 \rangle}v_1+\frac{\langle a_j,v_2 \rangle}{\langle v_2,v_2 \rangle}v_2+\ldots+\frac{\langle a_j,v_{j-1} \rangle}{\langle v_{j-1},v_{j-1} \rangle}v_{j-1} \right)[/tex].

This should make it pretty obvious where to use the dot product, so I am curious what kind of formula were you thinking of?
 
For example, to "normalize" the first vector, you need to divide by its length. And its length is [itex]||v||= \sqrt{v\cdot v}[/itex]. Because of the definition of dot product, [itex](1,1,1)\cdot(1,1,1)= 1(1)+ 2(1)(1)+ 3(1)(1)= 6[/itex]. That's where matt grime got the [itex]\sqrt{6}[/itex] he divided the first vector by.
 
Ok, I was forgetting/missing to use the equation when getting the norm or mag to normalize at the end. I think I am good. Thanks for all the quick help.
 
You don't just use it at the end to normalize - you use it at every occasion that you need to take an inner product.
 

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