Can a Scalar Operate with a Vector Algebraically?

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Discussion Overview

The discussion centers around the question of whether a scalar can operate with a vector algebraically, specifically examining the expression ##\frac{1}{\vec{A}}## and whether it can be considered a vector or defined in terms of its components. The scope includes mathematical reasoning and conceptual clarification regarding vector operations and their implications in physics and engineering.

Discussion Character

  • Debate/contested
  • Mathematical reasoning
  • Conceptual clarification

Main Points Raised

  • Some participants question whether ##\frac{1}{\vec{A}}## can be defined as a vector and what its components would be.
  • Others argue that defining an inverse for a vector is not meaningful without a multiplication operation defined for vectors, suggesting that the context requires a more complex algebraic structure.
  • One participant suggests that the lack of utility for the inverse of a vector in applied sciences may explain why it is not commonly defined.
  • Some participants propose that the cross product could be viewed as a multiplication operation, but note that it does not allow for a unique identity element or a straightforward definition of an inverse.
  • There are discussions about the nature of scalar multiplication with vectors, with some asserting that scalars can operate with vectors algebraically, while others caution that this leads outside the vector space.
  • Several participants express confusion about the mathematical structures involved, such as rings and quaternions, and seek simpler explanations.
  • One participant suggests using the scalar product for multiplication to define ##\frac{1}{\vec{A}}## in a different way.

Areas of Agreement / Disagreement

Participants do not reach a consensus on whether ##\frac{1}{\vec{A}}## can be defined as a vector. Multiple competing views remain regarding the mathematical operations applicable to vectors and the implications of defining an inverse.

Contextual Notes

The discussion highlights limitations in the definitions and operations available for vectors, including the absence of a multiplication operation in vector spaces and the implications of using different algebraic structures.

Hawkingo
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Let ##\vec { A }## = ##a \dot { i } + b \hat { j } + c \hat { k }##
My question is "is ##\frac { 1 } { \vec { A } }## is a vector or not and if yes then what is it's components?"
 
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Hawkingo said:
Let ##\vec { A }## = ##a \dot { i } + b \hat { j } + c \hat { k }##
My question is "is ##\frac { 1 } { \vec { A } }## is a vector or not and if yes then what is it's components?"
Isn't this a math question, rather than physics? You can define the operator to mean whatever you want.
 
The ##\frac{1}{\hat{A}}## doesn't mean anything if only addition and scalar multiplication of vectors is defined. You also need a multiplication between vectors, making it an algebra instead of a simple vector space. For instance, real numbers are 1-dimensional vectors, but there is also a multiplication operation which makes it possible to find an inverse ##\frac{1}{a}## for any nonzero real number ##a##.

For ##N\times N## matrices there is both an addition and multiplication operation, but there exist more than one matrix that is not invertible, making the situation more difficult than with real numbers where only ##0## was uninvertible.
 
I think one reason that mathematicians haven't yet defined the inverse of a vector, say, ##\vec{v}\in \mathbb{R}^3## , is that it isn't of any use in physics or engineering, or other applied sciences. If you are faced with a problem in physics or engineering and you thinking about taking the inverse of a vector then this usually implies that you are thinking in a wrong way about problem, and you need to change your way of thinking in order to arrive at a successful solution.

We could view the cross product as a multiplication between vectors, however it needs to be modified in order to be able to find a unique identity element ##\vec{e}##, and with it to define the inverse of a vector such that ##\vec{v} \times \vec{v^{-1}}=\vec{v^{-1}}\times \vec{v}=\vec{e}##. But cross product is fine and has wide applications the way it is, I doubt that its modification would be about as wide and useful.
 
Hawkingo said:
Let ##\vec { A }## = ##a \dot { i } + b \hat { j } + c \hat { k }##
My question is "is ##\frac { 1 } { \vec { A } }## is a vector or not and if yes then what is it's components?"
To define a mutliplicative inverse, you need to investigate the multiplicative structure. Objects which have vectors as elements are:
  • vector space: no multiplication at all
  • ring: in general no neutral element ##1## and if so, only a few units
  • algebra: same as ring, often not even commutative, e.g. Lie algebras
  • division ring: e.g. the quaternions, where we have two inverses - left and right, so the notation ##1/\vec{A}## is still undefined
  • field: e.g. ##\mathbb{C}## as ##\mathbb{R}-##algebra, where we have ##1/\vec{A} = (a - b \cdot i)/(a^2+b^2)##
That means, that up to very few exceptions for which we do have the concept of dividing vectors, the question does not occur in this generality.
 
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fresh_42 said:
To define a mutliplicative inverse, you need to investigate the multiplicative structure. Objects which have vectors as elements are:
  • vector space: no multiplication at all
  • ring: in general no neutral element ##1## and if so, only a few units
  • algebra: same as ring, often not even commutative, e.g. Lie algebras
  • division ring: e.g. the quaternions, where we have two inverses - left and right, so the notation ##1/\vec{A}## is still undefined
  • field: e.g. ##\mathbb{C}## as ##\mathbb{R}-##algebra, where we have ##1/\vec{A} = (a - b \cdot i)/(a^2+b^2)##
That means, that up to very few exceptions for which we do have the concept of dividing vectors, the question does not occur in this generality.
Can you explain this in a simpler way because I have no idea about the ring or quaternions.
 
Hawkingo said:
Let ##\vec { A }## = ##a \dot { i } + b \hat { j } + c \hat { k }##
My question is "is ##\frac { 1 } { \vec { A } }## is a vector or not and if yes then what is it's components?"

Suppose you have ##\frac { 1 } { \vec { A } }##, what do you expect ##\frac { \vec{A} } { \vec { A } }## to equal?
 
PeroK said:
Suppose you have ##\frac { 1 } { \vec { A } }##, what do you expect ##\frac { \vec{A} } { \vec { A } }## to equal?
I tried to get the answer by mathpix app(powered by wolfarmalpha engine) and got this answer.
Screenshot-2018-11-23-19-36-32-271-com-mathpix-mathpixandroid.jpg
 

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Hawkingo said:
Can you explain this in a simpler way ...
PeroK said:
Suppose you have ##\frac { 1 } { \vec { A } }##, what do you expect ##\frac { \vec{A} } { \vec { A } }## to equal?
... because I have no idea about the ring or quaternions.
I thought the quaternions were the example you have chosen:
https://en.wikipedia.org/wiki/Quaternion
They are a non commutative extension of complex numbers.

In case you were only referring to a three dimensional, real vector space, then the answer is: either there is no multiplication at all, and ergo no division, or if we choose the cross product as multiplication, we will lose associativity, have no neutral element ##1## and are not commutative.
 
  • #10
Hawkingo said:
I tried to get the answer by mathpix app(powered by wolfarmalpha engine) and got this answer. View attachment 234497
But what does ##1## here mean? The real number ##1## or a vector ##\vec{1}##? As a real number, this wouldn't be a division, since we left the vector space, and as a vector, we will have trouble to define it.
 
  • #11
Hawkingo said:
I tried to get the answer by mathpix app(powered by wolfarmalpha engine) and got this answer. View attachment 234497

So, what about ##\frac{1}{\vec{A}} = \frac{\vec{A}}{|A|^2}##? And use the scalar product for your multiplication?
 
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  • #12
fresh_42 said:
I thought the quaternions were the example you have chosen:
https://en.wikipedia.org/wiki/Quaternion
They are a non commutative extension of complex numbers.

In case you were only referring to a three dimensional, real vector space, then the answer is: either there is no multiplication at all, and ergo no division, or if we choose the cross product as multiplication, we will lose associativity, have no neutral element ##1## and are not commutative.
I understood that we can't regard cross product as multiplication but I think we can operate a scalar(here 1 in numerator) with a vector (in denominator) algebrically, just like ##5*\vec { A } =5\vec { A} ##
 
  • #13
Hawkingo said:
I understood that we can't regard cross product as multiplication but I think we can operate a scalar(here 1 in numerator) with a vector (in denominator) algebrically, just like ##5*\vec { A } =5\vec { A} ##
You can define ##\dfrac{\vec{A}}{\vec{A}}=1\in \mathbb{R}## for ##\vec{A}\in V-\{\,\vec{0}\,\}## but this isn't a division, because it leads outside the set of vectors. In addition we consequently get ##\vec{A}\cdot \vec{B} \in \mathbb{R}## which will lead to the concept of inner products, but is still no division.
 

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