When is the Cauchy-Schwartz inequality an equality?

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I can show that if the vectors a and b are parallel,

a = \lambda b,

then the Cauchy-Schwartz inequality

<br /> \newcommand{\braket}[2]{{&lt;\!\!{#1|#2}\!\!&gt;}}<br /> |\braket{a}{b}|^2 \leq \braket{a}{a} \braket{b}{b}<br />

is an equality.

But how do I show that it is an equality if and only if they are parallel?
 
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You can write b=Pb+Qb, where Pb is the projection of b onto the subspace generated by a, ie, Pb is parellel to a, and Qb is perpendicular to a. Then a=lambda*b iff Qb=0. Plug the expansion of b into the inequality.
 
Sorry, I don't get it. Can you give me more details?
 
Do you know how to project one vector on another?
 
In this case,

\hat{b} = \frac{b \cdot a}{a \cdot a} a

right?
 
Right, and b is equal to its projection onto a iff a and b are parellel. See if you can express (a,b) in terms of the projection of b onto a.
 
Like

\hat{b} = \frac{b \cdot a}{a \cdot a} a = \lambda \frac{a \cdot a}{a \cdot a} a = \lambda a

?
 
That shows that b equals its projection if b=la, but not the converse.
 
Then I'm stuck...
 
  • #10
Never mind, the converse is trivial. Ok, so you've shown that b is a multiple of a iff Qb=b-Pb=0, where Pb is the projection of b onto a. Now plug b=Pb+Qb into (a,b).
 
  • #11
I don't get it. If b = Pb, then

|&lt;b|a&gt;|^2 = &lt;a|b&gt; &lt;b|a&gt; = &lt;a|Pb&gt;&lt;Pb|a&gt;

and I want to show that this equals

&lt;a|a&gt;&lt;b|b&gt;

??
 
  • #12
Just in case you want to try a different path (because it may be easier):
If a and b are linearly independent, then a-\lambda b\not= 0 for all \lambda \in \mathbb{R}[/tex]. Now what you can you say about the inner product of a-\lambda b with itself?
 
  • #13
I don't know, what can I say?

&lt;a - \lambda b|a - \lambda b&gt; = &lt;a|a&gt; - \lambda &lt;a|b&gt; - \lambda &lt;b|a&gt; + \lambda^2 &lt;b|b&gt;

?
 
  • #14
That's a polynomial in lambda that has no real solutions. Look at the determinant.

Galileo's way is probably easier (and nicer, as it doesn't require a projection operator), but all I wanted you to do was plug in |<a,b>|^2=|<a,Pb+Qb>|^2=|<a,Pb>+<a,Qb>|^2=..., and you'll eventually end up with something like |<a,b>|^2+c||Qb||^2=||a||^2||b||^2, so that equality holds iff Qb is zero.
 
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  • #15
Logarythmic said:
I don't know, what can I say?

&lt;a - \lambda b|a - \lambda b&gt; = &lt;a|a&gt; - \lambda &lt;a|b&gt; - \lambda &lt;b|a&gt; + \lambda^2 &lt;b|b&gt;

?
True. Now, if v is a nonzero vector, what does that say about <v,v>?
(You have a vector v=a-Lb that is nonzero for EVERY L.)

Then look at your equation as a quadratic equation in L.
 
  • #16
So <v|v> is constant and I get an expression for \lambda? My head is pretty messed up after this thread.
 
  • #17
No, <v,v> is not constant wrt lambda. It's a quadratic equation in terms of lambda, as you have shown.

The inner product has the property that:
\langle v,v \rangle \geq 0 \mbox{ with equality only if v=0}

Since your v is not zero it is positive for any value of lambda. That means you have a quadratic equation which has no real roots. What does that tell you about its determinant?
 

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