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}.
The answer could be .317
(not could be as in I don't know but could be as is it's an option)
business and education
since business is wider there is human resource, accounts, finance and among others
Answer: 5/6
Step-by-step explanation:
Use slope formula of y2-y1/x2-x1. So here it doesn’t matter which is which so I did (6,5) x1 and y1 and (0,0) x2 and y2
So plugging it in it would be 0-5/0-6 = -5/-6 which simplifies to 5/6
Answer:
<u>25 hours</u>
Step-by-step explanation:
It takes 5 men 45 hours to build a wall.
So, if no. of men increases by 1.8 [∴ 5 x 1.8 = 9],
then time taken reduces by that same amount.
=> 45 hours / 1.8
=> 45 / (9/5)
=> 45 x 5 / 9
=> 5 x 5
=> <u>25 hours</u>
