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:
x+7y
Step-by-step explanation:
First off, lets split the question into both x and y.
3x - 2x for the x
11y - 4y for the y
You can solve both of them to get x + 7y
3x - 2x = x
11y - 4y = 7y
Then, add them back up and get x + 7y
<span>(-6,0) would be correct </span>
I think
8+10=18
just place 1 before 0
8-2(6-4:2)
8-2(6-2)
8-2*4
8-8=0
