Proving Norm Difference in Euclidean Ring Z[{\sqrt 2 \over 2}(1+i)]

In summary: However, if you are asking if the ring of integers in a field extension of a Euclidean domain is also a Euclidean domain, then the answer is yes. This can be proven using the same techniques as above, by showing that the norm function can be extended to the field extension and still satisfy the properties of a Euclidean function.
  • #1
gonzo
277
0
While I'm on the topic, here is another ring I need to show Euclidean. I'll show more of the work this time too. The ring is [itex]Z[{\sqrt 2 \over 2}(1+i)][/itex]

So, using the standard norm difference approach, we pick any element alpha in the field and try and show we can always find an element beta in the ring of integers so that the norm of the difference is less than one. We can start like this:

[tex]
\alpha=a_1 + a_2 \sqrt 2 + a_3 i + a_4 i \sqrt 2
[/tex]
[tex]
\beta=b_1 + b_2 \sqrt 2 + b_3 i + b_4 {\sqrt 2 \over 2}(1+i)
[/tex]
[tex]
\gamma=\alpha-\beta
[/tex]
[tex]
\gamma=(a_1 - b_1) + (a_2 - b_2 - {1 \over 2}b_4) \sqrt 2 + (a_3 - b_3) i + (a_4 - {1 \over 2}b_4) i \sqrt 2
[/tex]
[tex]
\gamma=c_1 + c_2 \sqrt 2 + c_3 i + c_4 i \sqrt 2
[/tex]

After some pain and agony we get the norm of gamma:

[tex]
N(\gamma)=(c_1^2 - 2c_2^2 - c_3^2 + 2c_4^2)^2 + (2c_1c_3-4c_2c_4)^2
[/tex]

The best we can do is force c1, c2 and c3 to be less than 1/2 and c4 to be less than 1/4 (we can switch this for c2 and c4, but the norm is symmetric in c2 and c4, so this doesn't matter).

However, these values don't let you force the norm less than 1. I tried exapanding and recombining in different ways and still nothing.

Any clever ideas?
 
Last edited:
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  • #2
Well, writing things in terms of the basis

[tex]\left\{1, \frac{1 + i}{\sqrt{2}}, i, \frac{-1 + i}{\sqrt{2}}
\right\}[/tex]

got a better-behaved expression:

[tex]\left( a^2 - c^2 + 2bd \right)^2 +
\left( 2ac - b^2 + d^2 \right)^2[/tex]

which I think, with a little calculus, you can show is always less than 1 if a, b, c, and d are all of magnitude less than 1/2.
 
  • #3
Really, how? Maybe there are some techniques I don't know that would be helpful here.

One thing I was playing with was using the arithmetic-geometric mean inequality by grouping the monomorphisms into two groups and then adding them.

The problem is this inequality only works if the two terms are positive rational numbers, and I haven't been able to make that limitation work out.
 
Last edited:
  • #4
The basic idea was that, for example, the first term takes on its largest value of 9/16 only when a = 0 or c = 0. But when that happens, the other term can be 1/16, at most.

Oh, maybe no calculus is needed. Suppose that that expression exceeds 1.

WLOG, we may assume the first term exceeds 1/2, |a| > |c| and bd > 0. The second term must be at least as large as 7/16.

Under these conditions, we must have |c| < 1/4. (we can do better) And thus, the second term cannot exceed 1/4. This is a contradiction.
 
  • #5
Oh, here's a less clever method. Calculus does come to the rescue!

The maximum of the norm occurs either on the boundary of the cube
[-1/2, 1/2]^4
or somewhere in its interior where its four partial derivatives are all zero.

We can clearly see that the norm is less than one on the boundary, so we have to look at the interior critical points:

if I set

L = a² - c² + 2bd
R = 2ac - b² + d²

then critical points occur when:

aL + cR = 0
cL - aR = 0
bL + dR = 0
dL - bR = 0

which imply, for example:

(a² + c²)R = 0

But you can easily check that the norm cannot exceed 1 of R = 0, and similarly if a² = c² = 0.
 
  • #6
Thanks, I follow that. I had the idea about 9/16 limits, but I didn't know how to show rigoursly that maxed out the sum, but your proof by assuming one of them greater than 1 made sense to me.

I figured out another way to do it as well I think using your basis by my original method. If you use your basis for the integer and the simpler one for the non-integer, you can force both C2 and C4 in my norm to be less than 1/4, which works out with a very simple analysis.

Thanks for your help.

I guess part of the trick is finding the right basis to make it work out nicer.

By the way, do you happen to know if the property of having a Euclidean function is "transitive" over field extensions? For example, if K over Q is Euclidean and L over K is Euclidean, does this imply that L over Q is also Euclidean?
 
  • #7
Opps, I was wrong again ... even using your basis I can only force either C2 or C4 to be less than 1/4 not both, looks like your method is still the best.
 
  • #8
By the way, do you happen to know if the property of having a Euclidean function is "transitive" over field extensions? For example, if K over Q is Euclidean and L over K is Euclidean, does this imply that L over Q is also Euclidean?
Being Euclidean is a property of a ring; I don't see what field extensions have to do with anything. (Incidentally, all fields are Euclidean domains)
 
  • #9
Sorry, that's not what I meant. I meant the rings of integers in those fields.
 
  • #10
Being Euclidean is a property of a ring -- it is not a property of a relationship between two rings -- so your question doesn't really make sense as stated.
 

Related to Proving Norm Difference in Euclidean Ring Z[{\sqrt 2 \over 2}(1+i)]

1. What is a Euclidean ring?

A Euclidean ring is a type of mathematical structure used in abstract algebra. It is a commutative ring with an additional operation called a Euclidean function, which allows for division with remainder. This means that for any two elements in the ring, there is a defined way to divide one by the other and obtain a quotient and remainder.

2. What is the significance of the Euclidean function in a Euclidean ring?

The Euclidean function is what sets a Euclidean ring apart from other types of rings. It allows for the division with remainder property, which is useful in many mathematical applications. It also helps to classify and study different types of rings.

3. What is an example of a Euclidean ring?

The most well-known example of a Euclidean ring is the ring of integers, denoted as Z. In this ring, the Euclidean function is the absolute value of a number, which allows for division with remainder.

4. What is the difference between a Euclidean ring and a Euclidean domain?

A Euclidean ring is a commutative ring with a Euclidean function, while a Euclidean domain is a commutative ring with a Euclidean function that satisfies additional properties. These additional properties include the Euclidean algorithm, which allows for finding the greatest common divisor of two elements in the ring.

5. What are some applications of Euclidean rings?

Euclidean rings have many applications in mathematics and beyond. They are used in number theory, algebraic geometry, and coding theory. They also have practical applications in areas such as computer science, cryptography, and engineering.

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