Let R ∞ be the set of all infinite sequences of real numbers, with the operations u + v = ( u 1 , u 2 , u 3 , ...... ) + ( v 1 , v 2 , v 3 , ...... ) = ( u 1 + v 1 , u 2 + v 2 , u 3 + v 3 , ..... ) and c u = c ( u 1 , u 2 , u 3 , ...... ) = ( c u 1 , c u 2 , c u 3 , ...... ) . Determine whether R ∞ is a vector space. If it is, verify each vector space axiom; if it is not, state all vector space axioms that fail.
Let R ∞ be the set of all infinite sequences of real numbers, with the operations u + v = ( u 1 , u 2 , u 3 , ...... ) + ( v 1 , v 2 , v 3 , ...... ) = ( u 1 + v 1 , u 2 + v 2 , u 3 + v 3 , ..... ) and c u = c ( u 1 , u 2 , u 3 , ...... ) = ( c u 1 , c u 2 , c u 3 , ...... ) . Determine whether R ∞ is a vector space. If it is, verify each vector space axiom; if it is not, state all vector space axioms that fail.
Solution Summary: The author explains that the given set is a vector space. If the listed axioms are satisfied for every u,vandw in V and every scalar (
Let
R
∞
be the set of all infinite sequences of real numbers, with the operations
u
+
v
=
(
u
1
,
u
2
,
u
3
,
......
)
+
(
v
1
,
v
2
,
v
3
,
......
)
=
(
u
1
+
v
1
,
u
2
+
v
2
,
u
3
+
v
3
,
.....
)
and
c
u
=
c
(
u
1
,
u
2
,
u
3
,
......
)
=
(
c
u
1
,
c
u
2
,
c
u
3
,
......
)
.
Determine whether
R
∞
is a vector space. If it is, verify each vector space axiom; if it is not, state all vector space axioms that fail.
Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.
I want to learn this topic l dont know anything about it
Solve the linear system of equations attached using Gaussian elimination (not Gauss-Jordan) and back subsitution.
Remember that:
A matrix is in row echelon form if
Any row that consists only of zeros is at the bottom of the matrix.
The first non-zero entry in each other row is 1. This entry is called aleading 1.
The leading 1 of each row, after the first row, lies to the right of the leading 1 of the previous row.
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