Definition of Parallel Vectors in Vector Spaces

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Discussion Overview

The discussion centers around the definition of parallel vectors in vector spaces, including the specific case of the zero vector and its relationship with other vectors. Participants explore formal definitions, implications for different dimensions, and the applicability of these definitions across various vector spaces.

Discussion Character

  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants propose that two vectors are parallel if they are scalar multiples of each other, with the condition that the scalar is nonzero to avoid confusion regarding the zero vector.
  • Others note that allowing the scalar to be zero leads to the conclusion that the zero vector is parallel to all other vectors, while no nonzero vector is parallel to the zero vector.
  • One participant expresses concern about the non-commutative nature of the scalar multiplication definition and seeks a more universally applicable definition for any vector space.
  • A later reply suggests a two-part definition: the zero vector is parallel to all other vectors, and nonzero vectors are parallel if they are scalar multiples of each other, claiming this definition is valid for any vector space.

Areas of Agreement / Disagreement

Participants generally agree on the scalar multiple definition for nonzero vectors but express differing views on the treatment of the zero vector and the need for a definition applicable to all vector spaces. The discussion remains unresolved regarding the best approach to defining parallelism in all contexts.

Contextual Notes

There is uncertainty regarding the implications of the zero vector's parallelism and the applicability of definitions across different dimensions and types of vector spaces.

Dmobb Jr.
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I was discussing with a friend of mine whether the zero vector is parallel to all other vectors. We came to the conclusion that it probably is but we do not know the formal definition of parallel.

What is the formal definition of parallel? Wolfram says that two vectors are parallel iff their cross product is zero. This, however, is meaningless if the vectors are of dimension greater than 3.

While not the main point of the question, it would also be cool to know if there is some version of parallel for any vector space not just euclidean.

Note: Since there are probably multiple definitions, give the one you think is most standard.
 
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Two vectors are parallel if they are scalar multiples of each other. So given two vectors ##\mathbf{a},\mathbf{b}##, we can say that ##\mathbf{a}## is parallel to ##\mathbf{b}## if there is a scalar ##c## such that ## \mathbf{a} = c \mathbf{b}##.

It is typical to require that ##c\neq 0##, but it's not strictly necessary. If we allow ##c=0## then we have the peculiar situation that the zero vector ##\mathbf{0}## is parallel to all other vectors, but no nonzero vector is parallel to ##\mathbf{0}##. This would probably be very confusing to people first learning about vectors, so it makes sense to just require that ##c\neq 0## to avoid it.
 
This is what I had initially thought of as the definition but immediately threw it away because it was not commutative. I guess I should never assume such things.

Also I am still curious if anyone knows a definition that works in any vector space.
 
Dmobb Jr. said:
This is what I had initially thought of as the definition but immediately threw it away because it was not commutative. I guess I should never assume such things.

Also I am still curious if anyone knows a definition that works in any vector space.

You can formulate a perfectly fine definitionin two parts:

1. The zero vector is parallel to all other vectors.

2. Nonzero vectors are parallel if they are scalar multiples of each other.

Any version of the definition from this or my earlier post works for any vector space.
 

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