Understanding $\mathbb{K}$ and $\mathbb{R}^n$ - Get Your Answers Here

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The symbol $\mathbb{K}$ typically represents an arbitrary field, which should be explicitly defined in context. In contrast, $\mathbb{R}^n$ denotes n-dimensional real space, essentially the unique n-dimensional vector space over the real numbers. There is a distinction between referring to $\mathbb{R}^n$ simply as a set of ordered n-tuples of real numbers and considering it as a vector space with operations defined coordinate-wise. While many discussions assume the vector space structure, it's important to clarify the context to avoid confusion. Overall, understanding these symbols requires attention to their definitions and the structures implied in various mathematical contexts.
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Hi. What does that mean when we see:

$$\mathbb{K}$$ what set is that? definitely not the reals, integers, etc.
and
$$\mathbb{R}^n$$ Is that the reals or what?

Thanks!
 
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the blackboard K is often used to refer to an arbitrary field. If you encounter it somewhere it should be stated what is meant by it.

The blackboard R^n just means n-dimensional real space. So basically (up to linear isomorphism) the unique n-dimensional vector space over the real numbers.
 
Thank you!
 
conquest said:
the blackboard K is often used to refer to an arbitrary field. If you encounter it somewhere it should be stated what is meant by it.

The blackboard R^n just means n-dimensional real space. So basically (up to linear isomorphism) the unique n-dimensional vector space over the real numbers.
A tiny disagreement. R^n is the set of order n-tuples of real numbers. It becomes a vector space only with the convention that "sum" and "scalar multiplication" are "coordinate wise". Yes, that is the "natural" convention but it separate from just "R^n".
 
You are right of course. Naturally my response was in terms of the vector space since this is the first definition I saw. You could also assume this and express that you are only talking strictly as the n-tuples of real numbers by mentioning you use the bare set underlying the vector space. I think in most literature the vector space (indeed also the natural topological, norm, inner product, Lie group and manifold (symplectic, smooth, Riemannian)) structure are assumed when used. A thing that might be stated explicitely is any algebra structure.

So immediately when I see that symbol these things I also assume, but it might pay to be a bit more reserved about this.
 
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