To prove that vectors (a + b)(a - b) = a^2 + b^2 iff

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SUMMARY

The discussion centers on proving the vector identity \((\vec{a} + \vec{b}) \cdot (\vec{a} - \vec{b}) = |\vec{a}|^2 + |\vec{b}|^2\) if and only if \(\vec{a} \perp \vec{b}\). Participants clarify that the correct relation is actually \((\vec{a} + \vec{b}) \cdot (\vec{a} - \vec{b}) = |\vec{a}|^2 - |\vec{b}|^2\), which holds true for all vectors \(\vec{a}\) and \(\vec{b}\). The proof's validity depends on the definition of the dot product, whether in terms of components or angle. The discussion emphasizes the importance of correctly interpreting vector operations and identities.

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  • Understanding of vector operations, including dot product and vector addition.
  • Familiarity with the properties of perpendicular vectors (\(\perp\)).
  • Knowledge of the Cauchy–Schwarz inequality.
  • Basic algebraic manipulation skills, particularly with vector identities.
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Homework Statement



The question says :
Prove that
(\vec{a} + \vec{b}).(\vec{a} - \vec{b}) = \left | \vec{a} \right |^{2} + \left | \vec{b} \right |^{2}
if and only if \vec{a} \perp \vec{b}

Homework Equations



This is known that
\left | \vec{a} + \vec{b} \right | = \left | \vec{a} - \vec{b} \right |
if \vec{a} \perp \vec{b}

The Attempt at a Solution



I tried substituting that and then using Cauchy–Schwarz inequality but somehow I can't open up the absolute brackets .
Thanks in advance
 
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You can simply use the distributive property.

EDIT: Are you sure that you have copied down the question correctly? I guess the RHS should be \left | \vec{a} \right |^{2} - \left | \vec{b} \right |^{2}
 
Last edited:
@Pranav The question is correct
 
nishantve1 said:
@Pranav The question is correct

Substitute \vec{a}=\hat{i} and \vec{b}=\hat{j}. The relation doesn't satisfy this.
 
That doesn't sound right: take the following example:

\vec{a}=\left ( 1 , 0\right )
\vec{b}=\left ( 0 , -0.1\right )

\left ( \vec{a} + \vec{b} \right ) \cdot \left ( \vec{a} - \vec{b} \right ) = 0.99

but

\left| \vec{a} \right|^2 + \left| \vec{b} \right|^2 = 1.01

J.
 
As several people have told you now, the correct relation is
(\vec{a}+ \vec{b})\cdot(\vec{a}- \vec{b})= |\vec{a}|^2- |\vec{b}|^2
not what you wrote. You should have realized that from the usual numerical "difference of squares" formula.

As to how to prove it, what "tools" do have to? You write as if you had never seen vectors before but that can't be true if you are expected to do a probolem like this!
How are you working with vectors? In terms of components? Are you allowed to assume two or three dimensions? Or in terms of "length and direction"?

How has the dot product been defined? As "<a_1, a_2, \cdot\cdot\cdot, a_n>\cdot<b_1, b_2, \cdot\cdot\cdot, b_n>= a_1b_1+ a_2b_2+ \cdot\cdot\cdot+ a_nb_n? Or as |\vec{a}||\vec{b}|sin(\theta) where \theta is the angle between \vec{a}| and \vec{b}?

Either can be used but the proof depends on which you are using.
 
nishantve1 said:
Prove that
(\vec{a} + \vec{b}).(\vec{a} - \vec{b}) = \left | \vec{a} \right |^{2} + \left | \vec{b} \right |^{2}
if and only if \vec{a} \perp \vec{b}
This is obviously false. Double check the question. It is probably asking you to prove that (\vec a + \vec b) \cdot (\vec a + \vec b) = ||\vec a||^2 + ||\vec b||^2 iff \vec{a} \perp \vec{b}.
 
HallsofIvy said:
(\vec{a}+ \vec{b})\cdot(\vec{a}- \vec{b})= |\vec{a}|^2- |\vec{b}|^2
But this is true for all a,b.

My guess: Show that
(\vec{a}+ \vec{b})\cdot(\vec{a}+ \vec{b})= |\vec{a}|^2+ |\vec{b}|^2
is true if and only if ##\vec{a} \perp \vec{b}##.

Edit: Same minute :(
 

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