4x+2y-6z-x-3y+2z= 3x-y-4z
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600(1+0.08/5)^5=649560.3
The valur of Rs 600will decline to 649560.3in 5 years interest is 8%
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:
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2
(
x
2
−
1
)
=
16
,
(
0
,
4
)
8
=
2
(
3
x
+
3
)
2
,
(
−
1
,
3
)
x
(
x
+
4
)
=
24
,
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−
2
,
9
)
n: