What is the Difference Between Matrix Notation and Abstract Matrix Notation?

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Matrix notation involves using a specific basis for the vector space, resulting in matrices represented as a two-dimensional array of coefficients. In contrast, abstract matrix notation does not rely on a chosen basis, allowing for a more generalized representation. For instance, in matrix notation, the operation of multiplying a vector by a matrix is expressed with indices, while in abstract notation, it is simplified to a more straightforward form. This distinction highlights the level of specificity versus generality in mathematical expressions. Understanding these differences is crucial for clarity in computational methods work.
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I've been doing some computational methods work, using matrix notation. I was just wondering what the difference is between matrix notation and abstract matrix notation?

thanks
 
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I don't think I've seen that term used before, but a brief search on the web on those terms confirms my initial thought.


"Matrix notation" is when you have selected a particular basis (bases) for the vector space (spaces) upon which you're working, and matrices are written as a 2 dimensional array of coefficients with respect to those bases.

"Abstract matrix notation" is when you have not done the above.


For example, suppose you premultiply a vector by a matrix to yield another vector.

In matrix notation, it might look like:

&Sigmaj Aij xj = yi

In abstract matrix notation, it might look like:

A x = y
 
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