I misunderstood a little, I assumed a function graph, which could be R^n space. But for the graph-theory-graphs (sets of vertices and edges) it’s similar, you can model the graph using adjacency matrix (NxN matrix for a graph of N vertices, where the vertices ‘mapped’ to a row and column by index. Usually consisting of real numbers representing distance between the “row” and “column” node) and look at it from the linear algebra point of view. That allows to model some characteristics of the graph. But honestly I haven’t mixed these two fields of maths much, so I hope what I wrote is somewhat understandable.

Graphs don’t have vectors, spaces do. A space is just an n-dimensional “graph”. Vectors written in columns next to each other are matrices. Matrices can describe transformation of space, and if the transformation is linear (straight lines stay straight) there will be some vectors that stay the same (unaffected by the transformation). These are called eigenvectors.

Why Worry by set it off

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I get to like 2-3 before lunch, but 4 to 6 in the morning?

Imho people that earned a lot of money see more difference between $0.20 and $0.51 than others - being more conscious about the value of the goods without being weighted down by the costs to simply exist