Undergrad Why does A.A = ||A||^2 in the scalar product formula?

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SUMMARY

The equation A.A = ||A||^2 is established as a fundamental property of the scalar product, where A.A represents the dot product of vector A with itself. This relationship is crucial for deriving the formula A.B = ||A|| ||B|| cos(θ), as it provides the necessary foundation for understanding the geometric interpretation of vectors. The discussion also touches on the distinction between scalar and vector products, emphasizing the importance of correctly applying definitions in vector mathematics.

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prashant singh
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Why A.A = ||A||^2 , I know that from product rule we can prove this where theta =0 , I am asking this because I have seen many proves for A.B = ||A||||B||cos(theta) and to prove this they have used A.A = ||A||^2, how can they use this , this is the result of dot product formula. I havee seen every where even on Wikipedia they have used this method only
 
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prashant singh said:
Why A.A = ||A||^2
That's the definition of a norm.
 
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Okk , can u give me the proof of vector product,or tell me the about the difficulty or knowledge requires to prove this

blue_leaf77 said:
That's the definition of a norm.
 
prashant singh said:
vector product
Do you mean "scalar product"?
 
No ,vector product, A X B = ||A||||B||sin(theta)
blue_leaf77 said:
Do you mean "scalar product"?
 
prashant singh said:
No ,vector product, A X B = ||A||||B||sin(theta)
Do you want to prove that the magnitude of ##\vec{A}\times \vec{B}## is equal to ##|\vec{A}| |\vec{B}| \sin \theta##?
 
Yess
blue_leaf77 said:
Do you want to prove that the magnitude of ##\vec{A}\times \vec{B}## is equal to ##|\vec{A}| |\vec{B}| \sin \theta##?
 
The proof is tedious and might look unattractive if one were to outline it here, for this purpose I will simply refer you to this link.
 
prashant singh said:
No ,vector product, A X B = ||A||||B||sin(theta)
This formula is not correct. On the left side, A X B is a vector. On the right side ##|A||B|\sin(\theta)## is a scalar. As already noted, ##|A||B|\sin(\theta)## is equal to the magnitude of A X B; that is, |A X B|.
 
  • #10
prashant singh said:
Why A.A = ||A||^2 , I know that from product rule we can prove this where theta =0 , I am asking this because I have seen many proves for A.B = ||A||||B||cos(theta) and to prove this they have used A.A = ||A||^2, how can they use this , this is the result of dot product formula. I havee seen every where even on Wikipedia they have used this method only
http://clas.sa.ucsb.edu/staff/alex/DotProductDerivation.pdf

Above may help.
 
  • #11
prashant singh said:
Why A.A = ||A||^2 , I know that from product rule we can prove this where theta =0 , I am asking this because I have seen many proves for A.B = ||A||||B||cos(theta) and to prove this they have used A.A = ||A||^2, how can they use this , this is the result of dot product formula. I have seen every where even on Wikipedia they have used this method only
prashant singh said:
No ,vector product, (magnitude of) A X B = ||A||||B||sin(theta)
If you want to prove either:
AB = |A| |B| cos(θ)​
or
|A×B| = |A| |B| sin(θ)​
, you need to give the definitions you are using for scalar product and vector product.
 
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  • #12
I forget to write it as |A X B|
Mark44 said:
This formula is not correct. On the left side, A X B is a vector. On the right side ##|A||B|\sin(\theta)## is a scalar. As already noted, ##|A||B|\sin(\theta)## is equal to the magnitude of A X B; that is, |A X B|.
 
  • #13
prashant singh said:
I forget to write it as |A X B|
If you forget to write the absolute value symbols, you will mistake a vector for a scalar (a number).
 
  • #14
I know that

Mark44 said:
If you forget to write the absolute value symbols, you will mistake a vector for a scalar (a number).
 

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