Adjacency matrices - real matrices or tables?

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Discussion Overview

The discussion revolves around the nature of adjacency matrices in graph theory, specifically questioning how they function as mathematical matrices versus mere tables. Participants explore the implications of operations on adjacency matrices, such as eigenvalues, determinants, and matrix multiplication, while considering their validity and interpretations.

Discussion Character

  • Exploratory, Technical explanation, Debate/contested

Main Points Raised

  • One participant questions how an adjacency matrix qualifies as a real mathematical matrix and not just a table, particularly in the context of the equation system Ax=B.
  • Another participant asserts that a matrix and a table are essentially the same, arguing that a matrix does not necessarily need to be part of an equation.
  • A different participant emphasizes that the adjacency matrix is indeed a matrix, noting its utility in calculating the number of walks between vertices through matrix multiplication.
  • Further discussion raises the question of what information can be derived from operations like taking the determinant of an adjacency matrix, suggesting that while some operations may seem meaningless, they do not negate the practical uses of matrices.

Areas of Agreement / Disagreement

Participants express differing views on the nature of matrices and their relationship to tables, as well as the validity and interpretation of various operations on adjacency matrices. The discussion remains unresolved regarding the implications of these operations.

Contextual Notes

Participants have not reached consensus on the definitions and implications of adjacency matrices, nor on the interpretations of specific matrix operations. There are also unresolved assumptions about the context in which these matrices are used.

toofle
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A graph can be represented by an adjacency matrix but how is that a real mathematical matrix and not just a table?
A matrix is part of an equation system Ax=B but what is x and B in this case if A is the adjacency matrix?

For example Google does PageRank with Eigenvalues but what would different operations on an adjacency matrix mean, why is it valid to compute eigenvalues and eigenvectors on an adjacency matrix?
Like taking the determinant of an adjacency matrix, what information do we get?
 
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A matrix and a table are the exact same thing. A matrix is just a fancy name for a table.

And no, a matrix does need to be part of an equation Ax=b. It can be part of it, but it doesn't need to be.
 
The adjacency matrix is as named, a matrix. After all when you want to find the number of walks from one vertex to another you multiply the matrix to itself using matrix multiplication.
 
toofle said:
Like taking the determinant of an adjacency matrix, what information do we get?

You can certainly give sensible interpretations to some matrix operations on adjacency matrices - addition and multiplication for example.

The fact that you can think of other operations that seem to be meaningless is irrelevant. It's hard to think what "information" you would get from finding the inverse tangent of the number of people in a room, but that doesn't mean that the integers, or trigonometry, have no practical uses.
 

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