Field Extensions - Lovett, Theorem 7.1.10 - Another question

In summary: Your Name]In summary, when proving that F( \alpha ) \subset F[ \alpha ], it is important to choose representative elements that are in their simplest form, with minimal degree for the denominator. This ensures that any element in F( \alpha ) can be written as a rational expression of \alpha, and thus belongs in F[ \alpha ].
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I am reading "Abstract Algebra: Structures and Applications" by Stephen Lovett ...

I am currently focused on Chapter 7: Field Extensions ... ...

I need help with another aspect of the proof of Theorem 7.1.10 ...Theorem 7.1.10, and its proof, reads as follows:https://www.physicsforums.com/attachments/6585
https://www.physicsforums.com/attachments/6586
In the proof of the above Theorem, towards the end of the proof, Lovett concerns himself with proving that \(\displaystyle F( \alpha ) \subset F[ \alpha ]\) ... ... To do this he points out that every element in \(\displaystyle F( \alpha )\) can be written as a rational expression of \(\displaystyle \alpha\), namely ... \(\displaystyle \gamma = \frac{ a( \alpha )}{ b( \alpha )}\) where \(\displaystyle a( \alpha ), b( \alpha ) \in F[x]\) and \(\displaystyle b( \alpha ) \neq 0\) ...Lovett then says ...

"suppose also that \(\displaystyle a( \alpha )\) and \(\displaystyle b( \alpha )\) are chosen such that \(\displaystyle b( \alpha )\) has minimal degree and \(\displaystyle \gamma = \frac{ a( \alpha )}{ b( \alpha )}\). ... ... "What does Lovett mean by choosing \(\displaystyle a( \alpha )\) and \(\displaystyle b( \alpha )\) such that \(\displaystyle b( \alpha )\) has minimal degree ... ... ?It cannot mean choosing special elements \(\displaystyle b( \alpha )\) ... as then \(\displaystyle \gamma\) would not be a representative element of \(\displaystyle F( \alpha )\) ...
Can someone please clarify this issue ...

Peter

EDIT Does it just mean that when we have ... for example ...\(\displaystyle \gamma = \frac{ a( \alpha )}{ b( \alpha )} = \frac{ x^3 - 3x }{ x^4 + 7x }\)we just (in this case, for example) we just 'cancel' the \(\displaystyle x\) ... and similarly for other examples ...
 
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?Dear Peter,

Thank you for bringing up this question. In this context, choosing a( \alpha ) and b( \alpha ) such that b( \alpha ) has minimal degree means that we are choosing a representative element \gamma = \frac{ a( \alpha )}{ b( \alpha )} that is in its simplest form. This is similar to simplifying fractions in arithmetic, where we choose the smallest possible numbers to represent the fraction.

In the example you provided, \gamma = \frac{ x^3 - 3x }{ x^4 + 7x } can be simplified by factoring out an x from the numerator and denominator, resulting in \gamma = \frac{ x(x^2 - 3) }{ x(x^3 + 7) }. This is a simpler form of the fraction, as the degree of the denominator has been reduced.

So in general, when proving that F( \alpha ) \subset F[ \alpha ], we want to choose representative elements that are in their simplest form, with minimal degree for the denominator. This ensures that any element in F( \alpha ) can be written as a rational expression of \alpha, and thus belongs in F[ \alpha ].

I hope this clarifies the issue for you. Please let me know if you have any further questions or need additional clarification.

 

FAQ: Field Extensions - Lovett, Theorem 7.1.10 - Another question

What is the Field Extension Theorem 7.1.10 by Lovett?

The Field Extension Theorem 7.1.10 by Lovett is a mathematical theorem that states that if a field extension F/K is algebraic, then every subfield of F that contains K is a finite-dimensional vector space over K.

How is the Field Extension Theorem 7.1.10 used in mathematics?

The Field Extension Theorem 7.1.10 is used in mathematics to understand and analyze field extensions and their properties. It is particularly useful in the study of algebraic number theory and algebraic geometry.

What is the importance of the Field Extension Theorem 7.1.10 in science?

The Field Extension Theorem 7.1.10 is important in science because it helps us understand the structure and behavior of fields, which are fundamental mathematical objects used in many areas of science, including physics, chemistry, and computer science.

Are there any real-world applications of the Field Extension Theorem 7.1.10?

Yes, there are many real-world applications of the Field Extension Theorem 7.1.10. For example, it is used in cryptography to study the properties of finite fields, which are essential for secure communication. It is also used in signal processing and coding theory for error correction and data compression.

Is the Field Extension Theorem 7.1.10 a difficult concept to understand?

The Field Extension Theorem 7.1.10 can be a challenging concept for those new to abstract algebra and field theory. However, with proper background knowledge and practice, it can be understood and applied effectively in various mathematical and scientific contexts.

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