How to Find Orthonormal Bases of Kernel and Row Space of Matrix A"

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Homework Help Overview

The discussion revolves around finding orthonormal bases for the kernel and row space of a given matrix A. Participants are exploring the concepts of orthonormality and the methods to achieve it, particularly through the Gram-Schmidt process.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the process of reducing the matrix to its RREF and the subsequent calculations for orthonormal bases. There are questions regarding the correctness of the orthogonal basis found and the application of the Gram-Schmidt process. Some participants express uncertainty about the definitions and relationships between the row space and the orthonormal bases.

Discussion Status

There is ongoing exploration of the methods to find orthonormal bases, with some participants questioning their calculations and the orthogonality of their bases. Guidance has been offered regarding the need for orthogonality and the correct setup for applying the Gram-Schmidt process.

Contextual Notes

Participants note potential errors in their calculations and the need for clarification on the definitions of row space and orthonormal bases. There is also mention of confusion regarding the representation of the basis vectors.

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[tex]A = \left(\begin{array}{cccc}-1 &6&5&9 \\ -1&0&1&3 \end{array}\right)[/tex]

Find orthonormal bases of the kernel, row space.

To find the bases, I did reduced the array to its RREF.

[tex]A = \left(\begin{array}{cccc}1 & 0&-1&-3\\ 0&1&2/3&1 \end{array}\right)[/tex]

Then the orthonormal bases would just be that divided by the length.

[tex]||v_1||=\sqrt{1+1+3^2}=\sqrt{11}[/tex]

[tex]||v_2||=\sqrt{1+(2/3)^2+1}=\sqrt{2.44444}[/tex]

so that means, the orthonormal bases would be:

[tex]A = \left(\begin{array}{cccc} \frac{1}{ \sqrt{11}} & 0&\frac{-1}{ \sqrt{11}}&\frac{-3}{ \sqrt{11}} \\0 & \frac{1}{ \sqrt{2.44444}} & \frac{.66666}{ \sqrt{2.44444}} &\frac{1}{ \sqrt{2.44444}}\end{array}\right)[/tex]

what exactly is the orthonormal bases of the kernel?
Also, isn't the row space the same as the vectors of the bases?
I think I also did something wrong in my calculations
 
Last edited:
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If you are looking for an orthonormal basis, one thing to check is that your basis actually is orthogonal. The basis you have found for the row space is not orthogonal.

Given an arbitrary basis for a vector space, do you know how to construct an orthogonal basis for it via the Gram-Schmidt process?
 
is what i did above the orthonormal row space? that is wrong as well, i don't know why... however:

using the Gram-Schmidt process, i still get an error:

[tex]A = \left(\begin{array}{cccc}-1 &6&5&9 \\ -1&0&1&3 \end{array}\right)=\left(\begin{array}{cc}W_1 &W_2 \end{array}\right)[/tex]

want to find an orthonormal basis [tex]R={U_1 ,U_2}[/tex]

[tex]U_1=\frac{W}{||W_1||}[/tex]
[tex]||W_1||=\sqrt{11}[/tex]
[tex]U_1=\frac {\left(\begin{array}{cccc}-1 &6&5&9 \end{array}\right)}{\sqrt{11}}[/tex]

[tex]U_2=\frac{W_2-<W_2 , U_1 > U_1}{||W_2-<W_2 , U_1 > U_1||}[/tex]

where [tex]W_2=\left(\begin{array}{cccc} -1&0&1&3 \end{array}\right)[/tex]

[tex]U_1=\frac {\left(\begin{array}{cccc}-1 &6&5&9 \end{array}\right)}{\sqrt{11}}[/tex]
[tex]U_1=\left(\begin{array}{cccc}-1/\sqrt{11} &6\sqrt{11}&5\sqrt{11}&9\sqrt{11} \end{array}\right)[/tex]

is the the correct set up to get an orthonormal basis?

Also, to get an orthonormal row space, what would I have to do?
 
Last edited:
A is not equal to (W1 W2). W1 and W2 are a basis for the row space of A, they are not equal to A when written like that because they are horizontal.

It looks like the method you have set up to find U1 and U2 is correct. What do you mean an "orthonormal row space"? You can find an orthonormal _basis_ U1, U2 for the row space just by finding the vector U2 according to the formula you've set up.
 
I typed my W1 and W2 vectors wrong. W1 is supposed to represent the vector (-1 6 5 9) and W2 = (-1 0 1 3)

What do I get when I find U1 and U2? Is U1 and U2 the row space? or is U1 an U2 the orthonormal basis?
 

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