A multiplication map as a matrix in Q(sqrt2)

Gale
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Homework Statement


Consider the field Q(\sqrt{2}), viewed as a vector space of dimension 2
over Q. Let r + s\sqrt{2} \in Q(\sqrt{2}), and defi ne the multiplication map
M_{r+s\sqrt{2}}: Q(\sqrt{2}) → Q(\sqrt{2}) by <br /> M_{r+s\sqrt{2}}(\alpha)= (r+s\sqrt{2})*\alpha
In other words, M_{r+s\sqrt{2}} is multiplication by r+s\sqrt{2}

There's a few parts, but my linear algebra is really rusty, so I can't even figure out the first step:

(i) In terms of the basis \{1, \sqrt{2}\} express the Q-linear map M_{r+s\sqrt{2}} as a 2x2 matrix with entries in Q.

(ii) If A is a 2x2 matrix with entries in Q, what is the condition that A=M_{r+s\sqrt{2}} with respect to the matrix?

(iii) What is the determinant? Argue without computation that it's not zero.

(iv) Calculate the inverse matrix and show that it is of the form M_{t+u\sqrt{2}}, t,u \in Q. Use this to give an explicit formula for (r+s\sqrt{2})^{-1}

Homework Equations





The Attempt at a Solution


I honestly have no idea how to express the linear map as a matrix, and the rest of the problem basically hinges on that concept. The only part I think I understand is that because the vector space has dimension =2, it's going to have 2 elements in it's basis? And thus a 2x2 matrix? But I'm not even exactly sure I have that right...

So just trying to figure out what this is talking about...
I guess α is some element of the form α= a+b√2, for some a and b in Q, right? So if I just multiply out the function...
M_{r+s\sqrt{2}}(\alpha)= (r+s\sqrt{2})*\alpha= (r+s\sqrt{2})*(a+b\sqrt{2})= (ar+2bs)+\sqrt{2}(as+br)
So the matrix should produce the same result if I do \alpha*A right? So... I suppose that means my matrix would be (r s,2s r)?
(sorry I don't remember how to format matrices)
 
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Gale said:

Homework Statement


Consider the field Q(\sqrt{2}), viewed as a vector space of dimension 2
over Q. Let r + s\sqrt{2} \in Q(\sqrt{2}), and define the multiplication map
M_{r+s\sqrt{2}}: Q(\sqrt{2}) → Q(\sqrt{2}) by <br /> M_{r+s\sqrt{2}}(\alpha)= (r+s\sqrt{2})*\alpha
In other words, M_{r+s\sqrt{2}} is multiplication by r+s\sqrt{2}

There's a few parts, but my linear algebra is really rusty, so I can't even figure out the first step:

(i) In terms of the basis \{1, \sqrt{2}\} express the Q-linear map M_{r+s\sqrt{2}} as a 2x2 matrix with entries in Q.

(ii) If A is a 2x2 matrix with entries in Q, what is the condition that A=M_{r+s\sqrt{2}} with respect to the matrix?

(iii) What is the determinant? Argue without computation that it's not zero.

(iv) Calculate the inverse matrix and show that it is of the form M_{t+u\sqrt{2}}, t,u \in Q. Use this to give an explicit formula for (r+s\sqrt{2})^{-1}

Homework Equations


The Attempt at a Solution


I honestly have no idea how to express the linear map as a matrix, and the rest of the problem basically hinges on that concept. The only part I think I understand is that because the vector space has dimension =2, it's going to have 2 elements in it's basis? And thus a 2x2 matrix? But I'm not even exactly sure I have that right...

So just trying to figure out what this is talking about...
I guess α is some element of the form α= a+b√2, for some a and b in Q, right? So if I just multiply out the function...
M_{r+s\sqrt{2}}(\alpha)= (r+s\sqrt{2})*\alpha= (r+s\sqrt{2})*(a+b\sqrt{2})= (ar+2bs)+\sqrt{2}(as+br)
So the matrix should produce the same result if I do \alpha*A right? So... I suppose that means my matrix would be (r s,2s r)?
(sorry I don't remember how to format matrices)

It depends a bit on whether you want to picture the vector representing ##\alpha## as a column vector and let A act on the right, so the result is ##A \alpha## or have ##\alpha## be a row vector and act on the left, so it's ##\alpha A##. You've got the right matrix for the last case. If it's the first case you just need to take the transpose.
 
Dick said:
It depends a bit on whether you want to picture the vector representing ##\alpha## as a column vector and let A act on the right, so the result is ##A \alpha## or have ##\alpha## be a row vector and act on the left, so it's ##\alpha A##. You've got the right matrix for the last case. If it's the first case you just need to take the transpose.

Ah thank goodness I figured something out! Would ##A \alpha## be the more proper way of writing it out then?

Since I have that, for the rest:
(ii) if A= \left( \begin{array}{ccc}<br /> a &amp; b \\<br /> c &amp; d \end{array} \right) Then based on my matrix from part (i), a=d and 2b=c would work? Or does a also have to be a multiple of r, and b a multiple of s?

(iii) I'm a little confused about this... I guess since the determinant would be r2-2s2 and r,s are rational by definition, r2-2s2=0 would imply r2=2s2 → √2 is rational if both s,r≠0. Which is equivalent to saying r+s√2=0. I'm not sure if what I did counts as calculation.

(iv) The inverse is found in the traditional way for a 2x2, but I'm not really sure how it gives me (r+s√2)-1
 
Gale said:
Ah thank goodness I figured something out! Would ##A \alpha## be the more proper way of writing it out then?

Since I have that, for the rest:
(ii) if A= \left( \begin{array}{ccc}<br /> a &amp; b \\<br /> c &amp; d \end{array} \right) Then based on my matrix from part (i), a=d and 2b=c would work? Or does a also have to be a multiple of r, and b a multiple of s?

(iii) I'm a little confused about this... I guess since the determinant would be r2-2s2 and r,s are rational by definition, r2-2s2=0 would imply r2=2s2 → √2 is rational if both s,r≠0. Which is equivalent to saying r+s√2=0. I'm not sure if what I did counts as calculation.

(iv) The inverse is found in the traditional way for a 2x2, but I'm not really sure how it gives me (r+s√2)-1

##A \alpha## is probably more common. In which case a matrix A= \left( \begin{array}{ccc}<br /> r &amp; 2s \\<br /> s &amp; r \end{array} \right) will do the job. For iii) you've got it. If r and s are rational then the only noninvertible matrix is zero because the square root of 2 is irrational. For (iv) if you find the inverse matrix style and then convert back to r and s you should get the same thing as the matrix of (r+s√2)^(-1), shouldn't you?
 
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