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:
Step-by-step explanation:
area =l^2
=7^2
=49 km^2
Answer:
The answer would be n=6.11
Step-by-step explanation:
Step-by-step explanation:
step 1. tan x = opposite/adjacent = c/b
step 2. cos x = adjacent/hypotenuse = b/a
step 3. sin x = opposite/hypotenuse = c/a
I think that the answer is 3Y+30. I hope this helps!!! :)
