Thought - Euclidean Space R^(-n)

In summary, while R^1, R^2, ... , R^n comes quite naturally, is it even conceivable to ponder the meaning of R^(-n)? Is this something that even can exist conceptually or is it just jibberish? This was just a random thought that rolled into my head earlier today, and it's something that I think COULD provoke some thought. Rn is just a fancy way of saying the space of all possible real-valued n-dimensional vectors. Not really sure what R-n would mean.It might make sense to call R-1 the empty set, but this wouldn't extend usefully to more negative exponents.I'm sure there are things
  • #1
mm2013
1
0
While R^1, R^2, ... , R^n comes quite naturally, is it even conceivable to ponder the meaning of R^(-n)? Is this something that even can exist conceptually or is it just jibberish? This was just a random thought that rolled into my head earlier today, and it's something that I think COULD provoke some thought.
 
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  • #2
Rn is just a fancy way of saying the space of all possible real-valued n-dimensional vectors. Not really sure what R-n would mean.
 
  • #3
It might make sense to call R-1 the empty set, but this wouldn't extend usefully to more negative exponents.

I'm sure there are things you can do in the sense of category theory to create new objects and morphisms between them so that it would make sense to talk about R-n -- but I suspect that the net effect of this would wind up being that you have to view all of the Rn as being indistinguishable. (in other words, you have to forget that points look different from lines, lines look different from planes, and so forth)
 
  • #4
i have wondered about this, too. the thought i had, is that R-n might be some kind of "anti-vector space".

in the absence of any other space to interact with, R-n would look (and act) pretty much like Rn, but my idea is that a space of dimension -k, might "cancel" out k positive dimensions, that is:

Rn "+" R-k = Rn-k

i'm not sure how you could make this mathematically precise, or even what uses it might have, but it seems to me you could formulate it as some quotient of the tensor algebra (after all, we have annihilator spaces).
 
  • #5
We can decompose volumes into area-slices, areas into line-slices, and lines into point-slices.

What can you decompose points into? If you have a way of defining that, you might have a definition for R^(-n) but visually I can't think of such a decomposition.
 
  • #6
If you think of it: R^1 x R^-1 = R^0 would violate cardinality of sets.
 
  • #7
well, i did not intend it to be the standard cartesian product. that's why i put the quotes around the plus sign.

i don't think it's a matter of decomposing points. a zero-dimensional vector space is just the origin. there should be a symmetry in the construction of R-1.

i mean think of how we construct the real projective plane from the sphere: first we construct an isometry that exchanges antipodal points. the antipodal isometry actually turns the ball of the sphere "inside out". well you can extend that to all of R3. but even though it still looks like our original space, something subtle has happened, we've reversed the chirality. some spatial relationships that held in the original space don't hold anymore, there's been a change of sign.

so two spinning objects that collide, one from the original space, and one from the antipodal one, their spins cancel.

now, normally, mathematicans will say something like: "by convention, we take e1 to be..." to indicate a choice of orientation is something of an arbitrary choice. but maybe it's not, maybe orientation is just as important as whether or not an integer is a natural number or not. not because of vector properties, but because of some "super-vector" properties that come about when one considers additional structure.

and yes, if you start reducing "anti-vector spaces" to "anti-bases", one has to consider the implication of "anti-sets" (sets with negative cardinality). obviously if one says A "U" -A = Ø, it's not ordinary union we're talking about. but hey, we have a natural structure on P(A), the power set of A, so we ought to be able to create a structure on P(A) x P(A) with a suitable equivalence.

as i pointed out before, it's not immediately clear how useful this is. but i don't think it's entirely nonsensical.
 
  • #8
not intending to necro-post, but i did a search for "negative sets" (because of a parenthetical comment on an article about multisets i was reading), and i found this paper:

http://www.csz.com/cyber/html/negsets.pdf
 

1. What is thought in the context of Euclidean Space R^(-n)?

In mathematics, thought refers to the process of reasoning and problem-solving using logical and abstract thinking. In the context of Euclidean Space R^(-n), it involves understanding and analyzing geometric objects and their properties in n-dimensional space.

2. How is thought related to Euclidean Space R^(-n) in the field of science?

Thought is essential in the study of Euclidean Space R^(-n) as it allows scientists to conceptualize and visualize complex mathematical concepts and relationships. It also enables them to make connections between different theories and models to advance their understanding of the physical world.

3. What are the key principles of thought in Euclidean Space R^(-n)?

The key principles of thought in Euclidean Space R^(-n) include logic, reasoning, abstraction, and visualization. These principles are used to form hypotheses, make deductions, and solve problems in a systematic and logical manner.

4. How does thought contribute to advancements in our understanding of Euclidean Space R^(-n)?

Thought plays a crucial role in advancing our understanding of Euclidean Space R^(-n) by enabling us to develop new theories, models, and proofs. It also helps us to identify patterns and connections between different mathematical concepts, leading to further discoveries and innovations.

5. Can thought be applied to other branches of science besides mathematics?

Yes, thought is a fundamental aspect of all fields of science, including biology, physics, chemistry, and psychology. It allows scientists to analyze and interpret data, formulate hypotheses, and make predictions about the natural world.

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