Is R^n Euclidean Space a vector space too?

In summary, the conversation discusses whether the euclidean space R^n is an example of a vector space and if matrices with 1x2 or 2x1 dimensions can be considered as vectors for R^n. The answer to the first question is yes, as there is a linear isomorphism between the two. The second question is clarified and answered with a natural correspondence between R^n and an n dimensional vector space through the operations of sum and scalar multiplication.
  • #1
bacte2013
398
47
Dear Physics Forum personnel,

I am curious if the euclidean space R^n is an example of vector space. Also can matrices with 1x2 or 2x1 dimension be a vector for the R^n?

PK
 
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  • #2
bacte2013 said:
I am curious if the euclidean space R^n is an example of vector space.

Yes.

Also can matrices with 1x2 or 2x1 dimension be a vector for the R^n?

No clue what you mean.
 
  • #3
micromass said:
Yes.
No clue what you mean.
As for the second question, I mean if the 1x2 matrix (a1, a2) or its 2x1 form (column vector) can be considered as a vector for the R^2 since the R^2 is basically the collection of real numbers in the ordered pair (a, b)?
 
  • #4
There is a linear isomorphism between the ##1\times 2##-matrices and ##\mathbb{R}^2##, yes.
 
  • #5
The Eulclidean space Rn is geometric- there are such things as points and distances defined but no "operations". A vector space is algebraic we must have operations such as sum and scalar multiplication defined. Of course, for, finite dimensional Rn, we can define the sum as (x1, x2,... , xn)+ (y1, y2, ..., yn)= (x1+ y1, x2+ y2... , xn+ yn) and scalar multiplication defined as a(x1, x2, ..., xn)= (ax1, ax2, ..., axn). If we consider those operations as "natural" then we can think of this as a "natural" correspondence between Rn and an n dimensional vector space.[/sub][/sub]
 

1. What is R^n Euclidean Space?

R^n Euclidean Space refers to a system of n-dimensional coordinates that can be used to represent points, lines, and shapes. It is based on the principles of Euclidean geometry, which is a branch of mathematics that deals with shapes, sizes, and distances in a flat, two-dimensional plane.

2. Is R^n Euclidean Space the same as a vector space?

No, R^n Euclidean Space and a vector space are not the same. While both involve the use of coordinates and vectors, a vector space has additional properties and operations such as vector addition and scalar multiplication that are not present in R^n Euclidean Space.

3. Can R^n Euclidean Space be considered a subset of a vector space?

Yes, R^n Euclidean Space can be considered a subset of a vector space. This is because R^n Euclidean Space satisfies some of the properties of a vector space, such as closure under vector addition and scalar multiplication. However, it does not satisfy all the properties of a vector space.

4. What are some real-life applications of R^n Euclidean Space?

R^n Euclidean Space has various real-life applications, including computer graphics, robotics, and physics. It is used to model and analyze the movement and behavior of physical objects and systems in three-dimensional space.

5. How is R^n Euclidean Space different from other types of vector spaces?

R^n Euclidean Space is different from other types of vector spaces in that it is specifically based on the principles of Euclidean geometry. Other types of vector spaces may have different sets of axioms and operations that govern their behavior and properties.

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