Understanding Notation for R^(n x m) and Its Use in Regression Analysis

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Homework Help Overview

The discussion revolves around the notation ℝ^(n x m) and its implications in the context of regression analysis. Participants are trying to clarify whether this notation refers to a matrix or a space, particularly in relation to examples encountered in their studies.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are exploring the meaning of the notation ℝ^(k x m) and questioning whether it indicates a matrix or a space. There is an attempt to understand the implications of the equal sign versus other symbols in this context. Additionally, there are inquiries about the dimensions of matrices formed from observations in regression analysis.

Discussion Status

Some participants have provided clarifications regarding the notation, suggesting that ℝ^(n x m) refers to the vector space of n x m matrices with real entries. However, there remains uncertainty about the specific dimensions of matrices X and Y based on the observations provided.

Contextual Notes

Participants are working within the framework of regression analysis, and there are indications of confusion regarding the notation and its application. The discussion highlights the need for clarity in understanding matrix dimensions and the representation of data in this context.

AndreTheGiant
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Homework Statement



So yeah as the topic says. What does R^(nxm) mean? Is that a matrix or an n x m space. The notation is really confusing and sometimes it means something else.

I'm doing regression analysis right now and this shows up a lot. Is it a matrix when you say something like C = ℝ^(k x m). I'm not sure if that means its a k x m matrix or a k x m space. Mainly because in examples when they say that, it shows up as a k x m matrix. I'm guessing its a a matrix because of the = sign? If you had an E sign instead it would be contained in a space?

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AndreTheGiant said:

Homework Statement



So yeah as the topic says. What does R^(nxm) mean? Is that a matrix or an n x m space. The notation is really confusing and sometimes it means something else.

I'm doing regression analysis right now and this shows up a lot. Is it a matrix when you say something like C = ℝ^(k x m). I'm not sure if that means its a k x m matrix or a k x m space. Mainly because in examples when they say that, it shows up as a k x m matrix. I'm guessing its a a matrix because of the = sign? If you had an E sign instead it would be contained in a space?
It's the vector space of n X m matrices, with real entries.
 
Thanks! That cleared up so much...

Another quick question if you may know.

If i have the observations. (xi1,...xik,yi1,...,yim). If i set X = (xij) and Y = (yij). What are those? Is that an i x k matrix for X and an i x m matrix for Y?
 
AndreTheGiant said:
Thanks! That cleared up so much...

Another quick question if you may know.

If i have the observations. (xi1,...xik,yi1,...,yim).
xi1,...xik would be the i-th row of a matrix with k columns.
yi1,...,yim would be the i-th row of a matrix with m columns.
AndreTheGiant said:
If i set X = (xij) and Y = (yij).
What are those?
That notation is usually used for matrices, where xij represents an arbitrary element of the matrix. Same for yij.
AndreTheGiant said:
Is that an i x k matrix for X and an i x m matrix for Y?
Probably not i x k and i x m, but <something> x k and <something> by m. I can't tell from what you have here.
 

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