Show that Q adjoin square roots of 2, 3 is a vector space of dimension 4 over Q

In summary, the field $\mathbb{Q}(\sqrt{2},\sqrt{3})$ is a vector space of dimension 4 over $\mathbb{Q}$, and a basis for this space is $B=\{1,\sqrt{2},\sqrt{3},\sqrt{6}\}$. To show linear independence, we can consider arbitrary elements of $\mathbb{Q}(\sqrt{2},\sqrt{3})$ and show that they are linearly independent over $\mathbb{Q}$. Pairwise linear independence can be shown by considering the coefficients of the basis elements and showing that they must all be equal to 0 for the equation $d_1\cdot1+d_
  • #1
Ragnarok7
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Let \(\displaystyle \mathbb{Q}(\sqrt{2},\sqrt{3})\) be the field generated by elements of the form \(\displaystyle a+b\sqrt{2}+c\sqrt{3}\), where \(\displaystyle a,b,c\in\mathbb{Q}\). Prove that \(\displaystyle \mathbb{Q}(\sqrt{2},\sqrt{3})\) is a vector space of dimension 4 over \(\displaystyle \mathbb{Q}\). Find a basis for \(\displaystyle \mathbb{Q}(\sqrt{2},\sqrt{3})\).

I suspect the basis is \(\displaystyle B=\{1,\sqrt{2},\sqrt{3},\sqrt{6}\}\), but I am unsure how to show this. Clearly span\(\displaystyle (B)\supset\mathbb{Q}(\sqrt{2},\sqrt{3})\), and I think I can show the other way around as well, but how does one show linear independence? If we suppose

\(\displaystyle d_1\cdot1+d_2\cdot\sqrt{2}+d_3\cdot\sqrt{3}+d_4\cdot\sqrt{6}=0\)

where \(\displaystyle d_i\in\mathbb{Q}\), then how do we show that each \(\displaystyle d_i=0\)?

Thank you!
 
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  • #2
Your suspicion is correct. Here's a walkthrough which works in general for finding basis :

$\Bbb Q(\sqrt{3}, \sqrt{2})$ sits over $\Bbb Q(\sqrt{2})$ which in turn sits over $\Bbb Q$.

Arbitrary elements of $\Bbb Q(\sqrt{2})$ are $a + b\sqrt{2}$. Thus, arbitrary elements of $\Bbb Q(\sqrt{2}, \sqrt{3}) = \Bbb Q(\sqrt{3})(\sqrt{2})$ are of the form $(a+b\sqrt{2}) + \sqrt{3}(c+d\sqrt{2}) = a + b\sqrt{2} + c\sqrt{3} + d\sqrt{6}$.

You just have to show linear independence now to prove that $\Bbb Q(\sqrt{2}, \sqrt{3})$ is spanned by $\{1, \sqrt{2}, \sqrt{3}, \sqrt{6}\}$ over $\Bbb Q$. Can you show pairwise linear independence?
 

FAQ: Show that Q adjoin square roots of 2, 3 is a vector space of dimension 4 over Q

What is Q adjoin square roots of 2, 3?

Q adjoin square roots of 2, 3, also known as Q(√2, √3), is the smallest field extension of the rational numbers Q that contains the square roots of 2 and 3. It can be thought of as a set of numbers of the form a + b√2 + c√3, where a, b, and c are rational numbers.

What does it mean for Q adjoin square roots of 2, 3 to be a vector space?

A vector space is a mathematical structure that consists of a set of objects (vectors) and operations that allow for the addition and multiplication of these objects. In the case of Q adjoin square roots of 2, 3, the vectors are the numbers in the field and the operations are addition and multiplication by scalars (in this case, rational numbers).

How is the dimension of Q adjoin square roots of 2, 3 determined?

The dimension of a vector space is the number of vectors in a basis for that space. In the case of Q adjoin square roots of 2, 3, the basis is {1, √2, √3, √6}, which means the dimension is 4.

What properties must Q adjoin square roots of 2, 3 satisfy to be considered a vector space?

To be considered a vector space, Q adjoin square roots of 2, 3 must satisfy the following properties:

  • Closure under addition and multiplication: The sum and product of any two elements in the field must also be in the field.
  • Associativity and commutativity: Addition and multiplication must be associative and commutative.
  • Distributivity: The distributive property must hold for multiplication over addition.
  • Existence of additive and multiplicative identities: There must exist an element 0 such that a + 0 = a and a∙1 = a for all elements a in the field.
  • Existence of additive inverses: For every element a in the field, there must exist an element -a such that a + (-a) = 0.

How is Q adjoin square roots of 2, 3 used in mathematics?

Q adjoin square roots of 2, 3 is used in various branches of mathematics, such as number theory and algebraic geometry. It is also used in real analysis to construct the real numbers from the rational numbers. Additionally, it has applications in physics, particularly in quantum mechanics and string theory.

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