Construct & Normalize Orthogonal Vector to \underline{a}, \underline{b}

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Homework Help Overview

The original poster attempts to construct a third vector that is orthogonal to two given complex vectors, \underline{a} and \underline{b}, and to normalize all three vectors. The problem involves understanding the properties of dot products in the context of complex vectors.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss the appropriate method for calculating the dot product of complex vectors, questioning whether it follows the same rules as real vectors. Some suggest using the complex conjugate in the calculations.
  • There is a suggestion to consider using a cross product instead of dot products, with participants debating the applicability of the cross product in the context of complex vectors.
  • Some participants express uncertainty about the implications of using complex components in the cross product and suggest solving the linear equations instead.

Discussion Status

The discussion is active, with participants exploring different mathematical approaches and clarifying the nuances of working with complex vectors. While there is no explicit consensus on the best method, various perspectives on the use of dot and cross products are being examined.

Contextual Notes

Participants note the importance of using complex conjugates in calculations, and there is a recognition of the differences between real and complex vector operations. The discussion reflects a mix of familiarity and uncertainty regarding complex vector mathematics.

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Homework Statement


Construct a third vector which is orthogonal to the following pair and normalize all three vectors:
[tex]\underline{a}=(1-i,1,3i), \underline{b}=(1+2i,2,1)[/tex]


Homework Equations


[tex]\underline{c}.\underline{a}=0[/tex] and [tex]\underline{c}.\underline{b}=0[/tex] where c=(x y z)


The Attempt at a Solution

 
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Your relevant equations are a good start, so use them.
 
The question is, how do we make a dot product when the vectors are complex? Is it the same way as real vectors or not?
 
Mark44 said:
Do it the same way.

Not exactly. You take the complex conjugate of the first vector before you multiply the components. Otherwise <x,x>>=0 doesn't work.
 
Dick said:
Not exactly. You take the complex conjugate of the first vector before you multiply the components. Otherwise <x,x>>=0 doesn't work.

I'm not familiar with complex vectors, but since you want a vector that is orthogonal to both, rather than trying two dot products, wouldn't it be prudent to use a cross product?
 
That would be the method I would choose, but as Dick says, the only difference in dot product with complex components is that you use the complex conjugates of the components of one vector.
 
HallsofIvy said:
That would be the method I would choose, but as Dick says, the only difference in dot product with complex components is that you use the complex conjugates of the components of one vector.

I think that difference is important. I think if you take the usual definition of 'cross-product' with the complex notion of dot product, it isn't true that the cross product is orthogonal to the vectors in the product. The cross product is pretty specifically three real dimensional. C^3 isn't really three dimensional in that sense. I think you should just solve the linear equations.
 

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