How can a column vector be transformed into a diagonal matrix?

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Discussion Overview

The discussion revolves around the transformation of a column vector into a diagonal matrix, specifically how to construct a 3x3 matrix from a vector of the form where the elements occupy the diagonal positions.

Discussion Character

  • Technical explanation, Mathematical reasoning

Main Points Raised

  • One participant asks for a transformation that converts a column vector into a diagonal matrix.
  • Another participant suggests defining the transformation using a function that specifies matrix entries based on the vector elements, questioning whether matrix multiplication alone is sufficient or if addition can also be used.
  • A different participant proposes using a 3-dimensional matrix with 1's on the main diagonal, though it is unclear how this relates to the original question.
  • Another participant introduces the concept of a linear isomorphism that maps the vector (a, b, c) to a 3x3 matrix with the vector's elements on the diagonal and zeros elsewhere.

Areas of Agreement / Disagreement

Participants present various methods and definitions for the transformation, indicating that there is no consensus on a single approach or definition for the transformation process.

Contextual Notes

The discussion includes different interpretations of what constitutes a transformation and whether additional operations like addition are permissible, which may affect the clarity of the proposed solutions.

MehranMo
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I think this is a pretty simple question. I need a transformation that will take a Column vector e.g.: <a,b,c> and turn it into a 3x3 matrix where a is in position 1,1 and b in position 2,2 and c in position 3,3. i.e.: a diagonal matrix.

Any help?
 
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What kind of transformation? You can define the function by saying that for each i,j we define [itex]X_{ij}=\delta_{ij}x_i[/itex]. (There's no summation over the repeated indices). Do you need to define the function by matrix multiplication alone, or is it OK to use addition too?
 
You could pick a 3 dimensional matrix (a 3x3x3 cube) with 1's on the main diagonal.
 
There is a linear isomorphism [itex]\alpha[/itex] such that for any vector [itex](a, b, c)[/itex] [itex]\alpha[/itex] will take [itex](a,b,c)[/itex] to the 3 by 3 matrix, whose main-diagonal entries are a, b, and c, with all other entries being 0.
 

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