Double Dot Product: Solving 3D Vector Problem

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Discussion Overview

The discussion revolves around the double dot product of vectors, specifically the expression (\vec a \cdot \vec b)(\vec a^* \cdot \vec c), where \vec a is a complex vector and \vec b, \vec c are real 3D vectors. Participants explore whether this expression can be equated to |a|^2(\vec b \cdot \vec c) and the implications of the vectors lying in the same plane.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Michal proposes that (\vec a \cdot \vec b)(\vec a^* \cdot \vec c) might equal |a|^2(\vec b \cdot \vec c) but expresses uncertainty about the validity of this result.
  • One participant suggests two approaches for calculating the expression, indicating that the first involves expanding the dot products and the second involves treating one of the dot products as a scalar.
  • Another participant questions the notation used by Michal, suggesting that there may be a misunderstanding regarding the definition of vectors in relation to complex numbers and the dot product's applicability.
  • A later reply asserts that the proposed result is incorrect by providing a counterexample where \vec b equals \vec c and is perpendicular to \vec a, leading to a contradiction with the proposed equality.

Areas of Agreement / Disagreement

Participants do not reach a consensus; there are competing views regarding the validity of the proposed equality and the interpretation of the vectors involved.

Contextual Notes

There are unresolved issues regarding the definitions of the vectors and the conditions under which the dot product is defined, particularly in relation to complex and real vector spaces.

Naake
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Hi,
I have following problem of double dot product (\vec a \cdot \vec b)(\vec a^* \cdot \vec c), and I have expected rusult |a|^2(\vec b \cdot \vec c), but I don't know if it is the exactly result (I am unable to find any appropriate identity or proove it), or it is just an approximation... where \vec a is complex and \vec b, \vec c are real 3D vectors. Maybe can help, that all vectors lie in the plane. So is it true that
(\vec a \cdot \vec b)(\vec a^* \cdot \vec c) =? |a|^2(\vec b \cdot \vec c)?
Thanks,
Michal
 
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Approach 1 : write down ##(\vec a \cdot \vec b)(\vec a^* \cdot \vec c) = (a_1 b_1 + ...)(a_1^\ast c_1 + ...)## and go through the calculation.

Approach 2 : Each dot product is a scalar e.g. ##(\vec a \cdot \vec b) = \beta##. You know that ##\beta(\vec a^* \cdot \vec c)=(\beta\vec a^*) \cdot \vec c##, ...
 
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Likes   Reactions: Meesh
There may be a language problem here. I do not understand your "but I don't know if it is the exactly result (I am unable to find any appropriate identity or prove it), or it is just an approximation... where \vec a is complex and \vec b, \vec c are real 3D vectors."
There is no standard notation in which "\vec{a}" would be used to denote a complex number. Did you mean that \vec{a} might be a vector over the complex field? In either case, the "dot product" is only defined for vectors in the same vector space. If any of the vectors were in a vector space over the complex numbers then then they would all have to be- possibly with the complex part of their components equal to 0.

I can't imagine why you would think this was "just an approximation".
 
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Likes   Reactions: matteo137
In general your result is wrong. Example b=c, b perpendicular to a. a.b=0, a.c=0, but |a|2b.c not 0.
 

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