Finite Dimensional Division Algebras - Bresar Lemma 1.1

In summary, the conversation is about a question regarding a proof in the book "Introduction to Noncommutative Algebra" by Matej Bresar. The reader is seeking help in understanding how the linear dependence of elements 1, x, ..., x^n allows for the existence of a non-zero polynomial f( \omega ) \in \mathbb{R} [ \omega ] of degree at most n such that f(x) = 0. The expert summarizer provides a clear explanation using the definition of dimension and linear dependence, and the creation of a polynomial to satisfy the given conditions.
  • #1
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I am reading Matej Bresar's book, "Introduction to Noncommutative Algebra" and am currently focussed on Chapter 1: Finite Dimensional Division Algebras ... ...

I need help with the an aspect of the proof of Lemma 1.1 ... ...

Lemma 1.1 reads as follows:
View attachment 6192

In the above text, at the start of the proof of Lemma 1.1, Bresar writes the following:" ... ... Since the dimension of \(\displaystyle D\) is \(\displaystyle n\), the elements \(\displaystyle 1, x, \ ... \ ... \ , x^n\) are linearly dependent. This means that there exists a non-zero polynomial \(\displaystyle f( \omega ) \in \mathbb{R} [ \omega ]\) of degree at most \(\displaystyle n\) such that \(\displaystyle f(x) = 0\) ... ... "My question is as follows:

How exactly (rigorously and formally) does the elements \(\displaystyle 1, x, \ ... \ ... \ , x^n\) being linearly dependent allow us to conclude that there exists a non-zero polynomial \(\displaystyle f( \omega ) \in \mathbb{R} [ \omega ] \) of degree at most \(\displaystyle n\) such that \(\displaystyle f(x) = 0\) ... ?Help will be much appreciated ...

Peter

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In order for readers of the above post to appreciate the context of the post I am providing pages 1-2 of Bresar ... as follows ...https://www.physicsforums.com/attachments/6193
View attachment 6194
 
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  • #2
Peter said:
My question is as follows:

How exactly (rigorously and formally) does the elements \(\displaystyle 1, x, \ ... \ ... \ , x^n\) being linearly dependent allow us to conclude that there exists a non-zero polynomial \(\displaystyle f( \omega ) \in \mathbb{R} [ \omega ] \) of degree at most \(\displaystyle n\) such that \(\displaystyle f(x) = 0\) ... ?
The definition of dimension tells you that the maximum number of elements in a linearly independent set is $n$. The set $\{1,x,\ldots,x^n\}$ contains $n+1$ elements and must therefore be linearly dependent.

Now go back to the definition of linear dependence for the set $\{1,x,\ldots,x^n\}$. This says that there exist real numbers $\alpha_0,\alpha_1,\ldots,\alpha_n$, not all zero, such that $\alpha_01 + \alpha_1x + \alpha_2x^2 + \ldots + \alpha_nx^n = 0.$

Define the polynomial $f(\omega)$ by $f(\omega) = \alpha_0 + \alpha_1\omega + \alpha_2\omega^2 + \ldots + \alpha_n\omega^n.$ This polynomial is nonzero (because not all its coefficients are zero), and clearly $f(x) = 0.$
 
  • #3
Opalg said:
The definition of dimension tells you that the maximum number of elements in a linearly independent set is $n$. The set $\{1,x,\ldots,x^n\}$ contains $n+1$ elements and must therefore be linearly dependent.

Now go back to the definition of linear dependence for the set $\{1,x,\ldots,x^n\}$. This says that there exist real numbers $\alpha_0,\alpha_1,\ldots,\alpha_n$, not all zero, such that $\alpha_01 + \alpha_1x + \alpha_2x^2 + \ldots + \alpha_nx^n = 0.$

Define the polynomial $f(\omega)$ by $f(\omega) = \alpha_0 + \alpha_1\omega + \alpha_2\omega^2 + \ldots + \alpha_n\omega^n.$ This polynomial is nonzero (because not all its coefficients are zero), and clearly $f(x) = 0.$
Thanks Opalg ... very clear and very helpful ...

Appreciate your help ...

Peter
 

FAQ: Finite Dimensional Division Algebras - Bresar Lemma 1.1

1. What is a finite dimensional division algebra?

A finite dimensional division algebra is a finite-dimensional algebra over a field in which every nonzero element has a multiplicative inverse.

2. What is the Bresar Lemma 1.1?

The Bresar Lemma 1.1 is a well-known result in algebraic structures, specifically in the study of finite dimensional division algebras. It states that if a finite dimensional division algebra has a nonzero element that commutes with all other elements, then it must be commutative.

3. Why is the Bresar Lemma 1.1 important?

The Bresar Lemma 1.1 is important because it provides a useful tool for determining whether a finite dimensional division algebra is commutative or not. This has implications in many areas of mathematics, including representation theory and algebraic geometry.

4. How is the Bresar Lemma 1.1 used in practice?

The Bresar Lemma 1.1 is often used in conjunction with other tools and techniques to study finite dimensional division algebras. It can be applied to specific examples to determine commutativity, or it can be used as a starting point for further investigations and proofs.

5. Are there any extensions or generalizations of the Bresar Lemma 1.1?

Yes, there are extensions and generalizations of the Bresar Lemma 1.1 to other algebraic structures, such as Lie algebras and Jordan algebras. These extensions can be useful in studying more complex algebraic objects and their properties.

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