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}.
Answer:
27:18.
Step-by-step explanation:
27/9 = 3
18/9 = 2
<em>Answer : C: $125.</em>
Hopefully that helps you ! have a good day !
Answer:
2.8 or 2.77777
Step-by-step explanation:
9 can go into 25 less than 3 times but more than 2
Answer:
x(yz)
Step-by-step explanation:
(xy)z = x(yz) by the associative property of multiplication.
Answer: x(yz)
