Understanding the Role of Quaternions: Algebra, Normed Linear Space, and Field

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In summary, Quaternion algebra is a normed vector space with an appropriate norm and also a field because every element has a multiplicative inverse. However, the quaternions are a division ring, not a field, as quaternion multiplication is not commutative. Therefore, the notions of algebra, normed vector space, and field are all different ways of characterizing the object of interest, the quaternion.
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precondition
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I read in some text the following:
Quaternion algebra becomes a normed vector(linear) space with appropriate norm ...(blah blah)... Also since every element has a multiplicative inverse it is a field.

Now, what I find confusing is that according to above a mathematical object called quaternion is not only an algebra but with the norm normed linear space and furthermore a field?? In other words, all these notions of algebra+nvs+field etc should be regarded as some kind of characterisation of an object of our interest in this case quaternion? or further rephrasing this, different ways of looking at an object quaternion?

I would appreciate your comment
 
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  • #2
Quaternion multiplication is not commutative. The quaternions form a division ring, not a field.
 
  • #3
Ah, I think this has what you want to know. (and maybe the results at the bottom of this)
 
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Related to Understanding the Role of Quaternions: Algebra, Normed Linear Space, and Field

1. What are quaternions?

Quaternions are a type of mathematical structure used to represent rotations in 3-dimensional space. They are a generalization of complex numbers and consist of four components: a real part and three imaginary parts.

2. How are quaternions different from other mathematical structures?

Unlike other mathematical structures, such as vectors or matrices, quaternions can represent rotations in 3D space without any singularities or discontinuities. They also have certain mathematical properties that make them useful for applications in computer graphics and physics.

3. What are the applications of quaternions?

Quaternions are primarily used in computer graphics, robotics, and physics simulations to represent and manipulate rotations in 3D space. They are also used in signal processing and control theory.

4. Are quaternions difficult to understand?

While quaternions may seem complex at first, they are no more difficult to understand than other mathematical structures. With some basic understanding of complex numbers and vector operations, one can easily grasp the concept of quaternions.

5. Can quaternions be used for more than just rotations?

Yes, quaternions can also be used to represent other transformations, such as translations and scaling, in 3D space. They can also be used in other mathematical operations, such as interpolation and data compression.

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