Difference between scalars and one-dimensional vectors?

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Discussion Overview

The discussion explores the differences between scalars and one-dimensional vectors, focusing on their mathematical representation, properties, and implications in various contexts such as kinematics and vector spaces. Participants examine the conceptual distinctions and relationships between these two entities.

Discussion Character

  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that while one-dimensional vectors can be represented in the same space as scalars (##\mathbb{R}##), they are not equivalent due to differences in properties, such as directionality and magnitude.
  • It is noted that a scalar can take on positive, zero, or negative values, whereas a one-dimensional vector has a positive or zero magnitude and a direction.
  • Some participants argue that the notation used to represent one-dimensional vectors should be distinct from that of scalars to avoid confusion, suggesting alternatives like using angle brackets or specifying a vector space notation (e.g., ##\mathbb{R}^1##).
  • There is a claim that one-dimensional vectors and real scalars are in one-to-one correspondence, contingent on identifying vector directions with positive and negative values.
  • A participant raises a question about the implications of treating one-dimensional vectors as scalars in kinematics, suggesting that this might lead to ambiguity in notation.
  • Another participant discusses the concept of fields as one-dimensional vector spaces over themselves, highlighting the relationship between scalars and vectors in this context.
  • It is mentioned that without a given basis vector, one cannot naturally identify vectors with scalars, indicating a potential limitation in the correspondence between the two.

Areas of Agreement / Disagreement

Participants express both agreement and disagreement regarding the relationship between scalars and one-dimensional vectors. While some acknowledge a correspondence, others emphasize the distinctions and limitations that prevent them from being considered equivalent.

Contextual Notes

Participants highlight the importance of notation and the role of basis vectors in understanding the relationship between scalars and one-dimensional vectors. There are unresolved questions about the implications of treating vectors as scalars in specific applications.

Mr Davis 97
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What is the difference between scalars and one-dimensional vectors? I know that we represent the set of all two-dimensional vectors as ##\mathbb{R}^2##, so doesn't this mean that we would represent the set of all one-dimensional vectors as as just ##\mathbb{R}##? However, doesn't this also refer to scalars that are real numbers? Does this show that scalars and one-dimensional vectors are equivalent?
 
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A scalar value can have a positive, zero or negative value whereas a one dimensional vector will always have a positive or zero magnitude and a direction.

While its true that you can represent the vector in component form using any real number that component value isn't the vector itself ie for the real value of 5 and the one dimensional vector <5>

5 =/= <5>
 
Yes, you can say that the space composed of one-dimensional vectors is ##\mathbb{R},## which you can realize with the concept of the number line. Different from scalars, the signals of vectors tell us their directions, while the signals of scalars just mean more and less(the latter is how I get them).
 
jedishrfu said:
A scalar value can have a positive, zero or negative value whereas a one dimensional vector will always have a positive or zero magnitude and a direction.

While its true that you can represent the vector in component form using any real number that component value isn't the vector itself ie for the real value of 5 and the one dimensional vector <5>

5 =/= <5>

Okay, that makes sense. But, for example, what if I were trying to define a function that mapped one-dimensional vectors to one-dimensional vectors. What notation could I use to specify this without the reader getting confused with whether I mean real numbers? ##f: \mathbb{R} \to \mathbb{R}## seems to be ambiguous...
 
One dimensional vectors and real scalars are in one to one correspondence, as long as you identify one vector direction with + and the other vector direction with -.
 
mathman said:
One dimensional vectors and real scalars are in one to one correspondence, as long as you identify one vector direction with + and the other vector direction with -.
Is this why in 1D kinematics we solve problems as if the equations were a scalar equations rather than a vector ones, when we really mean vectors? They are in one-to-one correspondence, so are we just being lazy by not wring something like ##\vec{v_0} = v_0\hat{j}##?
 
A field can always be considered to be a one dimensional vector space over itself. The field is both the field of scalars for this vector space and it is the vector space itself.

So the real numbers are a one dimensional vector space over itself and the complex numbers are a one dimensional vector space over itself. In the first case, the field of scalars is the real numbers, in the second, the field of complex numbers.
 
Last edited:
The ##1##-dimensional vectors in ##\mathbb{R}^{1}## are in bijection with the scalars ##\mathbb{R}##.
 
  • #10
To me the key point is that in a one dimensional vector space, one is not necessarily given a basis vector. So without a given basis vector, there is no way to naturally identify vectors with scalars. I.e. R^1 is more than a one dimensional vector space, it is a one dimensional vector space plus a given basis vector, namely the scalar 1. A better example as a one dimensional vector space, would be a choice of a line through the origin of 3 space. Then where is the vector corresponding to 1? In particular one can only add vectors in a one dimensional vector space, but not multiply them, as one can do for scalars. Also length (as a number) is not necessarily defined for vectors in a more general vector space.
 

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