Why does (a.b).c make no sense?

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The discussion clarifies that the dot product is only defined for two vectors, which is why expressions like (a.b).c do not make sense. When calculating (a.b), the result is a scalar, denoted as β, which cannot be dotted with a vector c. Instead, multiplying a vector by a scalar is referred to as scalar multiplication, not a dot product. The definition of the dot product relies on vector components, and attempting to redefine it to include scalars would lead to confusion. Thus, the distinction between dot products and scalar multiplication is essential for clarity in mathematical definitions.
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I was studying the dot product, and it says that (a.b).c makes no sense.

so if you do (a.b) can = to β
and then is it not possible to do β.c?

WHY can't you 'dot' a scalar and a vector? why?
 
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uzman1243 said:
I was studying the dot product, and it says that (a.b).c makes no sense.

so if you do (a.b) can = to β
and then is it not possible to do β.c?

WHY can't you 'dot' a scalar and a vector? why?

Because the dot product is defined ONLY for two vectors. You can multiply a vector by a scalar, and this is called scalar multiplication.
 
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Mark44 said:
Because the dot product is defined ONLY for two vectors. You can multiply a vector by a scalar, and this is called scalar multiplication.

But why? is there any proofs as to why this is defined this way?
 
uzman1243 said:
But why? is there any proofs as to why this is defined this way?

Have you tried it? Write down the definition of a dot product. Make up and write down three vectors and perform the calculation.

(Note that definitions are made up, not proved. Can you prove that a cat is not a soda can? No. Its just not defined that way. Theorems and identities are what get proved, under the right definitions.)
 
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The dot product, in two dimensions (for simplicity) is defined as:

$$\vec{a}\cdot \vec{b}=a_xb_x+a_yb_y$$

Now, this assumes ##\vec{a}=(a_x,a_y)## and ##\vec{b}=(b_x,b_y)## are vectors. What would it mean to turn ##a## into a number? Certainly you can "define" the "dot product" of a scalar and a vector as:

$$a\cdot\vec{b}=a\vec{b}=(ab_x,ab_y)$$

But that's just the same as a scalar product, so it would be supremely confusing to also call it a "dot product". That's why we don't call that the "dot product".
 
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Matterwave said:
The dot product, in two dimensions (for simplicity) is defined as:

$$\vec{a}\cdot \vec{b}=a_xb_x+a_yb_y$$

Now, this assumes ##\vec{a}=(a_x,a_y)## and ##\vec{b}=(b_x,b_y)## are vectors. What would it mean to turn ##a## into a number? Certainly you can "define" the "dot product" of a scalar and a vector as:

$$a\cdot\vec{b}=a\vec{b}=(ab_x,ab_y)$$

But that's just the same as a scalar product, so it would be supremely confusing to also call it a "dot product". That's why we don't call that the "dot product".

thank you!
 
No problem. =]
 
uzman1243 said:
But why? is there any proofs as to why this is defined this way?
A definition doesn't have to be proved.
 
ModusPwnd said:
Can you prove that a cat is not a soda can?

What an unexpected place to find such a gem.
 

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