Why the inner product of two orthogonal vectors is zero

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Discussion Overview

The discussion revolves around the question of why the inner product of two orthogonal vectors is always zero, with a focus on its implications in both real vector spaces and Euclidean spaces. Participants explore definitions, geometric interpretations, and algebraic representations of the inner product.

Discussion Character

  • Conceptual clarification
  • Technical explanation

Main Points Raised

  • One participant notes that in the real vector space R^n, the inner product is defined as ||a|| * ||b|| * cos(theta), and for orthogonal vectors, cos(theta) is zero.
  • Another participant explains that the inner product represents how much one vector extends in the direction of another, stating that orthogonal vectors do not extend in each other's directions.
  • The same participant provides an algebraic perspective, defining the scalar product as u^t · v and suggesting that this can be demonstrated with basis vectors in n-D space.
  • Examples of orthogonal vectors are presented to illustrate the concept, particularly using the basis vectors (1,0,...,0) and (0,...,1).

Areas of Agreement / Disagreement

Participants generally agree on the conceptual understanding of orthogonality and its implications for the inner product, but the discussion does not resolve all potential nuances or interpretations of the topic.

Contextual Notes

The discussion does not address potential limitations or assumptions regarding the definitions of inner products in different contexts or the implications of dimensionality on the concept of orthogonality.

Who May Find This Useful

This discussion may be useful for students and individuals interested in understanding the geometric and algebraic properties of inner products in vector spaces, particularly in the context of orthogonality.

flyerpower
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Why is the inner product of two orthogonal vectors always zero?

For example, in the real vector space R^n, the inner product is defined as ||a|| * ||b|| * cos(theta), and if they are orthogonal, cos(theta) is zero.
I can understand that, but how does this extend to any euclidean space?
 
Last edited:
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The inner product is just the amount that one vector extends in the direction of the other - it's how far one arrow "leans over" the other. If they are orthogonal, then they don't lean over each other at all. That's what "orthogonal means - they have zero extent in each other's directions.

This generalizes to many dimensions because each vector defines a direction in that space and the other one may have some lean in that direction.

Algebraically, if u and v are vectors, then their scalar product is defined as u^t \cdot v - in terms of components in an n-D basis that would be:

\left ( u_1,u_2, \ldots ,u_n \right ) \left (<br /> \begin{array}{c}<br /> v_1\\ v_2 \\ \vdots \\ v_n<br /> \end{array}\right )

Try it for any two orthogonal vectors ... it's obvious for any two basis vectors...

\left ( 1,0, \ldots , 0 \right ) \left (<br /> \begin{array}{c}<br /> 0\\ 0 \\ \vdots \\ 1<br /> \end{array}\right )

see?
 
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Thank you, that's the kind of answer i was looking for :)
 
No worries - I edited to add another kind of answer while you were replying.
 

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