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

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Homework Help Overview

The problem involves proving a vector identity related to the dot product, specifically that \((\vec{a} + \vec{b}) \cdot (\vec{a} - \vec{b}) = |\vec{a}|^2 + |\vec{b}|^2\) if and only if \(\vec{a} \perp \vec{b}\). The context is within vector algebra and properties of orthogonality.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • Some participants suggest using the distributive property and the Cauchy–Schwarz inequality, while others question the correctness of the original problem statement. There are discussions about substituting specific vector values to test the identity and exploring the implications of the dot product definition.

Discussion Status

The discussion is ongoing, with various interpretations of the problem being explored. Some participants have provided alternative formulations of the identity, while others are questioning the assumptions made in the original statement. There is no explicit consensus on the correct approach or interpretation yet.

Contextual Notes

Participants are navigating potential misinterpretations of the problem statement, with some suggesting that the right-hand side of the equation may need to be revised. There is also uncertainty regarding the dimensionality of the vectors involved and the definitions of the dot product being used.

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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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