Basics of Field Extensions .... .... Ireland and Rosen, Ch 12

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The discussion focuses on Chapter 12 of Kenneth Ireland and Michael Rosen's "A Classical Introduction to Modern Number Theory," specifically on algebraic preliminaries. Participants clarify how the expression for the product of elements in a vector space over a field is derived, specifically the equation ##\alpha \alpha_i = \sum_j a_{ij} \alpha_j##. The norm of an element ##\alpha## in the field extension ##L/K## is defined as the determinant of the matrix formed by the coefficients of the linear combinations of the basis elements. This discussion provides a clear understanding of these fundamental concepts in algebraic number theory.

PREREQUISITES
  • Understanding of vector spaces over fields
  • Familiarity with algebraic number theory concepts
  • Knowledge of determinants and matrix operations
  • Basic proficiency in linear algebra
NEXT STEPS
  • Study the properties of vector spaces, particularly in the context of field extensions
  • Learn about the computation of determinants in linear algebra
  • Explore examples of norms in algebraic number theory
  • Investigate the implications of basis transformations in vector spaces
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Students and researchers in mathematics, particularly those specializing in algebraic number theory, linear algebra, and field extensions. This discussion is beneficial for anyone seeking to deepen their understanding of the foundational concepts in these areas.

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I am reading Kenneth Ireland and Michael Rosen's book, "A Classical Introduction to Modern Number Theory" ... ...

I am currently focused on Chapter 12: Algebraic Number Theory ... ...

I need some help in order to follow a basic result in Section 1: Algebraic Preliminaries ...

The start of Section 1 reads as follows:
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QUESTION 1In the above text by Ireland and Rosen, we read the following:"... ... Suppose ##\alpha_1, \alpha_2, \ ... \ ... \ , \alpha_n## is a basis for ##L/K## and ##\alpha \in L##.

Then ##\alpha \alpha_i = \sum_j a_{ ij } \alpha_j## with ##a_{ ij } \in K## ... ... ""My question is ... ... how do Ireland and Rosen get ##\alpha \alpha_i = \sum_j a_{ ij } \alpha_j ## ... ... ?
My thoughts are as follows ...Given ##L/K##, we have that ##L## is a vector space over ##K##.

... we then let ##\alpha_1, \alpha_2, \ ... \ ... \ , \alpha_n## be a basis for ##L## as a vector space over ##K##

( i take it that that is what I&R mean by "... ... Suppose ##\alpha_1, \alpha_2, \ ... \ ... \ , \alpha_n## is a basis for ##L/K##")... we then let ##\alpha \in L## ... ... then there exist ##a_1, a_2, \ ... \ ... \ , a_n \in K##such that##\alpha = a_1 \alpha_1 + a_2 \alpha_2 + \ ... \ ... \ a_n \alpha_n##so that##\alpha \alpha_i = ( a_1 \alpha_1 + a_2 \alpha_2 + \ ... \ ... \ a_n \alpha_n ) \alpha_i ## ... ... ... (1)... BUT ...

Ireland and Rosen write (see above)##\alpha \alpha_i = \sum_j a_{ ij } \alpha_j####= a_{ i1 } \alpha_1 + a_{ i2 } \alpha_2 + \ ... \ ... \ + a_{ in } \alpha_n## ... ... ... (2)My question is ... how do we get expression (1) equal to (2) ... ...

QUESTION 2In the above text by Ireland and Rosen, we read the following:"... ...The norm of ##\alpha, N_{ L/K } ( \alpha )## is ##\text{ det} (a_{ ij }) ## ... ...I cannot fully understand the process involved in forming the norm ... can someone please explain ... preferably via a simple example ...
Hope someone can help ...Peter
 

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In Question 1, we observe that, since ##\alpha_1,...,\alpha_n## form a basis for ##L## as a vector space over ##K##, any element of ##L## can be written as a linear combination of those basis elements, with coefficients in ##K##, that is, as ##\sum_{j=1}^na_j\alpha_j## with ##a_j\in K\forall j##.

Since ##\alpha,\alpha_i## are both in ##L##, which is a field, ##\alpha\alpha_i## must also be in ##L## and hence can be written as such a linear sum. We then just relabel each ##a_j## as ##a_{ij}## and we have the text's formula.

In question 2, note that, given ##\alpha\in L## and a basis ##\alpha_1,...,\alpha_n## for ##L##, each ##\alpha_i## gives us a set of ##n ## coefficients in ##K##: ##a_{i1},...,a_{in}##. Since there are ##n## ##\alpha_i##s, we can put those coefficients in a ##n\times n## matrix and then calculate a determinant of that matrix.
 
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Thanks Andrew ... just reflecting on what you have written ...

Peter
 

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