Understanding Dominant Matrices for Year 11 Students

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Discussion Overview

The discussion revolves around the concept of dominant matrices, specifically focusing on diagonal dominance, as understood by year 11 students. Participants seek to clarify the definition and implications of diagonal dominance in matrices.

Discussion Character

  • Conceptual clarification

Main Points Raised

  • One participant requests an explanation of what a dominant matrix is, indicating confusion from their textbook.
  • Another participant asks whether the discussion pertains to diagonal dominance and specifies the need to clarify if it is row or column dominance.
  • A participant confirms the focus on row diagonal dominance and provides a mathematical definition, explaining that for the $n$th row, the magnitude of the entry in the $n$th column must be greater than or equal to the sum of the magnitudes of all other entries in that row.
  • The definition provided includes a note on the distinction between weak and strict diagonal dominance, highlighting that the term diagonal dominance can refer to both depending on context.

Areas of Agreement / Disagreement

The discussion does not appear to have reached a consensus on the broader implications or applications of diagonal dominance, as participants are still clarifying definitions and concepts.

Contextual Notes

The discussion is limited to the definition of row diagonal dominance and does not explore its applications or implications in depth. There is also a lack of clarity on whether column diagonal dominance is relevant to the inquiry.

Zashmar
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Can anyone explain to a year 11 student what a dominant matrix is exactly?
my textbook is not making much sense, i understand basic matricies and how you times them and rearange equations.

Thank you so much(Happy)
 
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Are you referring to diagonal dominance, and if so, is it row or column?
 
Yes diagonally dominant, what does it mean
 
Let's say it is row diagonal dominance.

For the $n$th row, the magnitude of the entry in the $n$th column must be greater than or equal to the sum of the magnitudes of all other entries in that row.

This must be true for all rows. Stated mathematically:

$\displaystyle |a_{ii}|\ge\sum_{j\ne1}|a_{ij}|$ for all $i$.

where $a_{ij}$ denotes the entry in the $i$th row and $j$th column.

Note that this definition uses a weak inequality, and is therefore sometimes called weak diagonal dominance. If a strict inequality (>) is used, this is called strict diagonal dominance. The unqualified term diagonal dominance can mean both strict and weak diagonal dominance, depending on the context.
 

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