Cauchy Schwarz proof with alternative dot product definition

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Homework Help Overview

The discussion revolves around the Cauchy-Schwarz inequality and its validity when the dot product of two vectors is defined as the sum of the absolute values of their components. Participants explore whether this alternative definition affects the proof of the inequality.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • The original poster attempts to prove the Cauchy-Schwarz inequality under the new definition of the dot product, considering cases where vectors are non-zero and discussing the conditions for equality.
  • Some participants question the implications of redefining the dot product and whether the angle between the modified vectors affects the proof.
  • Others suggest clarifying the notation for angles between the vectors to avoid confusion.
  • Concerns are raised about the handling of the inequality, particularly regarding the squaring of terms.

Discussion Status

Contextual Notes

Participants are navigating the implications of an alternative definition of the dot product, which may lead to different interpretations of the Cauchy-Schwarz inequality. There is an ongoing examination of the conditions under which equality holds and how the angle between vectors is defined.

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Homework Statement



Does the Cauchy Schwarz inequality hold if we define the dot product of two vectors A,B \in V_n by \sum_{k=1}^n |a_ib_i|? If so, prove it.

Homework Equations



The Cauchy-Schwarz inequality: (A\cdot B)^2 \leq (A\cdot A)(B\cdot B). Equality holds iff one of the vectors is a scalar multiple of the other.

The Attempt at a Solution



The result is trivial if either vector is the zero vector. Assume A,B\neq O.

Let A',B'\in V_n s.t. a'_i = |a_i| and b'_i = |b_i| for each i=1,2,...,n. Let \theta be the angle between A' and B'. Notice that A\cdot B = A'\cdot B', ||A|| = ||A'||, ||B|| = ||B'||, and A\cdot B > 0. Then A\cdot B = ||A||\,||B||\,\cos\theta \implies A\cdot B = ||A||\,||B||\,|\cos\theta| \leq ||A||\,||B|| since 0\leq |\cos\theta|\leq 1. Then (A\cdot B)^2 \leq ||A||^2||B||^2 = (A\cdot A)(B\cdot B). This proves the inequality.

We now show that equality holds iff B = kA for some k\in\mathbb{R}.

(\Longrightarrow) We prove this direction by the contrapositive. If B\neq k A for any k\in\mathbb{R}, then B' \neq |k| A'. Hence \theta \neq \alpha \pi for any \alpha \in \mathbb{Z}. Thus 0 < |\cos\theta| < 1 and therefore A\cdot B < ||A||\,||B||. In other words, equality does not hold.

(\Longleftarrow) If A = kB for some k\in\mathbb{R}, then B' = |k| A'. Hence \theta = \alpha \pi for some \alpha \in \mathbb{Z}. Therefore \cos\theta = \pm 1. Thus equality holds.

Does this look okay?
 
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I may have missed something but I think you redefine ##A \cdot B## then try to use the fact that ##A \cdot B = ||A||\,||B||\,\cos\theta##, but this is negative if the angle between them is obtuse.
 
But don't A',B' still satisfy A'\cdot B' = ||A'||\,||B'||\,\cos\theta, where \theta is the angle between A', B'? As well, A\cdot B = A'\cdot B', ||A|| = ||A'||, and ||B|| = ||B'||.
 
Oh, you should call it ##\theta'## then, it is the angle between ##A'## and ##B'##, not between ##A## and ##B##.
 
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Okay. I thought it was clear. Thanks for pointing that out!

Does the proof look okay, then?
 
Well, you say the inequality is proved, but the original inequality has a square on the left. Something is amiss.
 
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Edited. What do you tink?
 
I think you're done. You were asked to prove the equality and I see no gaps. My work here is done :).
 
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