What Are the Key Properties of Scalar Product and the Law of Cosines?

Click For Summary
SUMMARY

The discussion centers on the properties of the Scalar Product and the Law of Cosines, specifically addressing the operation defined as ##\mathbf A \circ \mathbf B = | \vec A | | \vec B | \sin \theta##. Participants highlight inconsistencies in the proposed operation, particularly its failure to adhere to commutativity and distributive properties. The discussion concludes that the operation ##\circ## is not well-defined due to ambiguities in angle definitions and the necessity of proving algebraic rules before application. The conclusion emphasizes that the established properties of vector operations must be rigorously validated.

PREREQUISITES
  • Understanding of vector operations, including Scalar Product and Cross Product.
  • Familiarity with trigonometric functions, particularly sine and cosine.
  • Knowledge of algebraic properties such as commutativity and distributivity.
  • Basic concepts of geometric interpretation of vectors and angles.
NEXT STEPS
  • Study the properties of vector operations in depth, focusing on Scalar and Cross Products.
  • Learn about the geometric interpretations of sine and cosine in relation to vectors.
  • Research the implications of well-defined operations in mathematical contexts.
  • Explore the proofs of algebraic properties relevant to vector operations.
USEFUL FOR

Mathematicians, physics students, and educators seeking a deeper understanding of vector operations and their properties, particularly in the context of geometry and trigonometry.

Devil Moo
Messages
44
Reaction score
1
Scalar Product is defined as ##\mathbf A \cdot \mathbf B = | \vec A | | \vec B | \cos \theta##.

With the construct of a triangle, the Law of Cosines is proved.
##\mathbf A## points to the tail of ##\mathbf B##.
Well, ##\mathbf C## starts from the tail of ##\mathbf A## and points to somewhere.
Finally, ##\mathbf B## points to the head of ##\mathbf C##.

Now someone defines a new operation such as ##\mathbf A \circ \mathbf B = | \vec A | | \vec B | \sin \theta##. Following the same steps of proving the Law of Cosines.

##\begin{align}
\mathbf C & = \mathbf A + \mathbf B \nonumber \\
\mathbf C \circ \mathbf C & = (\mathbf A + \mathbf B) \circ (\mathbf A + \mathbf B) \nonumber \\
| \vec C | | \vec C | \sin 0 & = | \vec A | | \vec A | \sin 0 + | \vec B | | \vec B | \sin 0 + 2 | \vec A | | \vec B | \sin \theta \nonumber \\
| \vec A | | \vec B | \sin \theta & = 0 \nonumber
\end{align}##

##\theta = 0##, ##\mathbf A = 0## or ##\mathbf B = 0##?

I am not quite understand what the result means. It seems the result is not consistent with the constructed triangle.
 
Last edited:
Physics news on Phys.org
How is the angle defined? In the usual scalar product, this isn't important, because ##\cos (\theta)=\cos (-\theta).##
This changes with the sine. I have the feeling that this could be a problem when adding ##|A||B|\sin(\theta)## and ##|B||A|\sin(\theta)## and pretend it would be commutative. Also the distributive property has to be proven.
 
Last edited:
fresh_42 said:
Also the distribution law has to be proven.
Which is impossible, because the operation is not distributive.

The assumption of commutativity is the other mistake in post #1.
 
This derivation is incorrect, because you assumed the operation you have defined ##\circ##, is linear, in order to go from the second step to the third. Instead we have the identity.
$$
\mathbf A \times \mathbf B=(\mathbf A \circ \mathbf B) \mathbf n
$$
where ##\mathbf n## is a unit vector perpendicular to both ##\mathbf A## and ##\mathbf B##, in the direction obtained from the right-hand rule (in the case ##\mathbf A=\mathbf B##, you may pick any ##\mathbf n##). Then, if ##\mathbf C = \mathbf A + \mathbf B##,
$$
\mathbf C \times \mathbf C = (\mathbf A + \mathbf B) \times (\mathbf A + \mathbf B)
$$
Now the cross product ##\times## is linear, but you also get terms ##\mathbf A \times \mathbf B## and ##\mathbf B \times \mathbf A##, which cancel by a property of the cross product. So in the end you get
$$
\mathbf C \times \mathbf C = \mathbf A \times \mathbf A + \mathbf B \times \mathbf B
$$
Which just says that ##0=0+0##.

Another way to see that your conclusion does not hold, is simply to see that ##\mathbf A \times \mathbf B## is non-zero in general, so by taking the magnitude, we find that ##|\mathbf A \circ \mathbf B|## is non-zero in general, and hence ##\mathbf A \circ \mathbf B## is non-zero in general.
 
fresh_42 said:
How is the angle defined?
Now it is defined as the angle between ##\mathbf A## and ##\mathbf B## where ##\theta## is smaller than or equal to ##\pi## and it is commutative.

mfb said:
Which is impossible, because the operation is not distributive.
How do you find out that it is not distributive?

Lucas SV said:
Another way to see that your conclusion does not hold, is simply to see that ##\mathbf A \times \mathbf B## is non-zero in general, so by taking the magnitude, we find that ##|\mathbf A \circ \mathbf B|## is non-zero in general, and hence ##\mathbf A \circ \mathbf B## is non-zero in general.
Um... How are these two examples related to the derivation?
 
Devil Moo said:
How do you find out that it is not distributive?
By looking at an example.
$$A = \begin{pmatrix} 1 \\ 0 \\ 0 \end{pmatrix}, B = \begin{pmatrix} -1 \\ 0 \\ 0 \end{pmatrix}, C = \begin{pmatrix} 0 \\ 1 \\ 0 \end{pmatrix}$$
$$(A+B) \circ C = 0 \neq A \circ C + B \circ C$$
 
If you object, that you only need ##A \circ (A+B) = A \circ B## then compute it with ##A=(1,2)\, , \, B=(1,3)##.
 
fresh_42 said:
If you object, that you only need ##A \circ (A+B) = A \circ B## then compute it with ##A=(1,2)\, , \, B=(1,3)##.
Huh?
That works, but this is not the only operation that was used in post 1.
 
So if we have to define something, we have to calculate these laws before applying using the basic arithmetic rules.
 
  • #10
You may define whatever you want.

1.) As long as it is well-defined.
This wasn't the case in your first attempt, because you assigned two possible values ##|A||B| \sin(\theta)## and ##|A||B| \sin(-\theta)## to ##A \circ B##. A definition is not allowed to be ambiguous.

If this is given, it is absolutely legitimate to define, e.g. an operation ##\circ##. But the next steps should then be to try and find out, which properties such an operation has. This includes algebraic rules it obeys. There might be new formulas, known ones that are partially true or even totally true, ones which would be nice to have but don't hold and so on.

2.) Any "basic rule" has to be proven before it is allowed to be applied.
This means that rules you may be used to by arithmetic from real numbers are not automatically true in the context of your new operation. Therefore they have to be proven first. E.g. matrix multiplication isn't commutative, squares of complex numbers aren't positive and so on.
You gave an example yourself: ##A \circ A = 0## although ##A \neq 0##.

3) You might not need the entire basic rule.
E.g. you didn't need distribution in all cases for your argument. Only in some special cases. Therefore you didn't need to prove distribution, merely the ones you actually use. However, it doesn't hold even in these cases.

4.) You may summarize the above as follows: well-definition - toolbox - theorems.
 
  • Like
Likes   Reactions: Lucas SV

Similar threads

  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
Replies
3
Views
2K
Replies
3
Views
3K
  • · Replies 16 ·
Replies
16
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
4
Views
4K
  • · Replies 4 ·
Replies
4
Views
5K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K