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Mathematics
Shane Hurst
17 June, 03:15
How to rank linear functions
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Yahir Oneill
17 June, 04:55
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In linear algebra, the rank of a matrix
A
A is the dimension of the vector space generated (or spanned) by its columns.[1] This corresponds to the maximal number of linearly independent columns of
A
A. This, in turn, is identical to the dimension of the vector space spanned by its rows.[2] Rank is thus a measure of the "nondegenerateness" of the system of linear equations and linear transformation encoded by
A
A. There are multiple equivalent definitions of rank. A matrix's rank is one of its most fundamental characteristics.
The rank is commonly denoted by
rank
(
A
)
{/displaystyle / operatorname {rank} (A) } or
rk
(
A
)
{/displaystyle / operatorname {rk} (A) }; sometimes the parentheses are not written, as in
rank
A
{/displaystyle / operatorname {rank} A}.
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