The
Purplemath Forums 
Matrix Notation / Types of Matrices (page 2 of 3) Sections: Augmented & coefficient matrices / Matrix size, Matrix notation & types, Matrix equality Matrix Notation and Formatting A note regarding formatting. When you write a matrix, you must use brackets: " [ ] ". Do not use absolutevalue bars: "   ", as they have a different meaning in this context. Do not use parentheses or curly braces ( " { } " ) or some other grouping symbol (or no grouping symbol at all), as these presentations have no meaning. A matrix is always inside square brackets. Use the correct notation, or your answers may be counted as incorrect. As mentioned earlier, the values contained within a matrix are called "entries". For whatever reason, matrixes are customarily named with capital letters, such as "A" or "B", and the entries are named using the corresponding lowercase letters, but with subscripts. In a matrix A, the entries will typically be named "a_{i,j}", where "i" is the row of A and "j" is the column of A. For instance, given the following matrix A: ...the value 4
is in the second row and the first column, so 4
is the 2,1entry.
That is, 4
= a_{2,1}
(pronounced as "aysubtwoone"). The 3,2entry
is the value in the third row and the second column, so a_{3,2}
= 8. Entry a_{1,3}
is 3.
Copyright © Elizabeth
Stapel 20032011 All Rights Reserved For smaller matrices (those with fewer than ten rows and columns), the comma in the subscript is sometimes omitted. For instance, "a_{1,3} = 3" might be written as "a_{13} = 3". This obviously won't work for larger matrices, since "a_{213}" would be unclear. (Does it indicate the 21,3entry or the 2,13entry?) It is probably a good idea, regardless of the notation used in your book, to use commas in your subscripts, for clarity's sake. Types of matrices Sometimes matrices are categorized according to the configurations of their entries.
Note that triangular matrices are square, that diagonals are triangular and therefore are square, and that identities are diagonals and therefore are triangular and square. When describing a matrix, you usually just give its most specific classification, as this implies all the others.
This isn't a square matrix, so it can't be an identity or anything. This is just a... 3 × 4 matrix.
This is a square matrix, but there isn't anything else special about it. 3 × 3 square matrix
This is a 3 × 3 upper triangular matrix, but it is not diagonal. 3 × 3 upper triangular matrix Note: In a triangular matrix, you can have additional zeroes on or above the diagonal.
This is a diagonal matrix, and, more than that, the diagonal entries are all 1's. Then this is... the 3 × 3 identity, I_{3}. Since identity matrices are, by definition, square matrices, you only need to use one subscript to give their dimensions. << Previous Top  1  2  3  Return to Index Next >>



Copyright © 20032012 Elizabeth Stapel  About  Terms of Use 




