High School Vector Proof: Solving for IuI and IvI using Dot Product Properties

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SUMMARY

The discussion centers on proving the equality of the magnitudes of two vectors, IuI and IvI, using properties of the dot product in vector spaces. The participants emphasize the importance of the distributive law in the dot product, specifically applying it to the expression (u+v)·(u-v). They clarify that the definition of the magnitude of a vector differs between real and complex vector spaces, with |u| defined as √(u·u) in ℝⁿ and √(u·overline{u}) in ℂⁿ. The conversation concludes with a successful application of these principles to derive the proof.

PREREQUISITES
  • Understanding of vector operations in ℝⁿ and ℂⁿ
  • Familiarity with the properties of the dot product
  • Knowledge of vector magnitude calculations
  • Basic linear algebra concepts
NEXT STEPS
  • Study the properties of the dot product in vector spaces
  • Learn about vector magnitudes in both real and complex spaces
  • Explore the implications of the distributive law in vector algebra
  • Practice solving vector proofs involving dot products
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Students and educators in mathematics, particularly those focusing on linear algebra and vector calculus, as well as anyone seeking to deepen their understanding of vector properties and proofs.

stolencookie
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I am having trouble with this proof. I just need a step in the right direction. Let u and v be vectors.
(u+v)*(u-v)=0, then IuI=IvI I have to use properties of the dot product.
I started off by combining both using this property u*(v+w)=u*v+u*w (u,v,w are vectors)
I got lost in all of my mess, after I combined them. Was this a good place to start? I am just so lost right now.
 
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What is your definition of the dot product? In what space are you working? I assume ##\mathbb{R}^n##
 
Use the distributive law step by step: ##(u+v)\cdot (u-v)= u\cdot (u-v) + v\cdot (u-v)##.
 
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Yes I am
Math_QED said:
What is your definition of the dot product? In what space are you working? I assume ##\mathbb{R}^n##
 
fresh_42 said:
Use the distributive law step by step: ##(u+v)\cdot (u-v)= u\cdot (u-v) + v\cdot (u-v)##.

That helps a lot actually I think I know how to do it now.
 
Math_QED said:
What is your definition of the dot product? In what space are you working? I assume ##\mathbb{R}^n##
Does it make a difference if i am working in Rn ?
 
Yes, it does for the definition of ##|u|## as ##\sqrt{u\cdot u}##. In ##\mathbb{C}^n## it would be ##\sqrt{u \cdot \overline{u}}## with complex conjugation in one factor.
 
fresh_42 said:
Yes, it does for the definition of ##|u|## as ##\sqrt{u\cdot u}##. In ##\mathbb{C}^n## it would be ##\sqrt{u \cdot \overline{u}}## with complex conjugation in one factor.
I am confused now..
 
If we have a vector ##u=\begin{bmatrix}1\\2\end{bmatrix}## then ##|u|^2=u\cdot u = 1^2 +2^2 = 5## with the length ##\sqrt{5}##.
If we consider ##u=\begin{bmatrix}i\\2\end{bmatrix}## then the same formula would result in ##|u|^2=u\cdot u = i^2 +2^2 = -1 + 4 = 3## which is wrong, as I didn't actually change the length at all. So in this case the calculation goes ##|u|^2=u \cdot \overline{u}= i\cdot (-i) +2^2 = 5##.
 
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  • #10
Do you still need help?

##(u+v).(u-v) = 0 \iff (u+v).u - (u+v).v = 0 \iff u.u + v.u - u.v - v.v = 0 \iff \dots##
 
  • #11
I got it just got distracted ...
 

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