Illustrate properties 1 − 10 of Theorem 4.2 for u = ( 2 , − 1 , 3 , 6 ) , v = ( 1 , 4 , 0 , 1 ) , w = ( 3 , 0 , 2 , 0 ) , c = 5 , and d = − 2 . THEOREM 4.2 Properties of Vector Addition and Scalar Multiplication in R n . Let u , v , and w be vectors in R n , and let c and d be scalars. 1. u + v is vector in R n . Closure under addition 2. u + v = v + u Commutative property of addition 3. ( u + v ) + w = u + ( v + w ) Associative property of addition 4. u + 0 = u Additive identity property 5. u + ( − u ) = 0 Additive inverse property 6. c u is a vector in R n . Closure under scalar multiplication 7. c ( u + v ) = c u + c v Distributive property 8. ( c + d ) u = c u + d u Distributive property 9. c ( d u ) = ( c d ) u Associative property of multiplication 10. 1 ( u ) = u Multiplicative identity property
Illustrate properties 1 − 10 of Theorem 4.2 for u = ( 2 , − 1 , 3 , 6 ) , v = ( 1 , 4 , 0 , 1 ) , w = ( 3 , 0 , 2 , 0 ) , c = 5 , and d = − 2 . THEOREM 4.2 Properties of Vector Addition and Scalar Multiplication in R n . Let u , v , and w be vectors in R n , and let c and d be scalars. 1. u + v is vector in R n . Closure under addition 2. u + v = v + u Commutative property of addition 3. ( u + v ) + w = u + ( v + w ) Associative property of addition 4. u + 0 = u Additive identity property 5. u + ( − u ) = 0 Additive inverse property 6. c u is a vector in R n . Closure under scalar multiplication 7. c ( u + v ) = c u + c v Distributive property 8. ( c + d ) u = c u + d u Distributive property 9. c ( d u ) = ( c d ) u Associative property of multiplication 10. 1 ( u ) = u Multiplicative identity property
Solution Summary: The author illustrates the properties of vector addition and scalar multiplication for the given vectors u, v, and
Illustrate properties
1
−
10
of Theorem
4.2
for
u
=
(
2
,
−
1
,
3
,
6
)
,
v
=
(
1
,
4
,
0
,
1
)
,
w
=
(
3
,
0
,
2
,
0
)
,
c
=
5
, and
d
=
−
2
.
THEOREM
4.2
Properties of Vector Addition and Scalar Multiplication in
R
n
.
Let
u
,
v
, and
w
be vectors in
R
n
, and let
c
and
d
be scalars.
1.
u
+
v
is vector in
R
n
.
Closure under addition
2.
u
+
v
=
v
+
u
Commutative property of addition
3.
(
u
+
v
)
+
w
=
u
+
(
v
+
w
)
Associative property of addition
4.
u
+
0
=
u
Additive identity property
5.
u
+
(
−
u
)
=
0
Additive inverse property
6.
c
u
is a vector in
R
n
.
Closure under scalar multiplication
7.
c
(
u
+
v
)
=
c
u
+
c
v
Distributive property
8.
(
c
+
d
)
u
=
c
u
+
d
u
Distributive property
9.
c
(
d
u
)
=
(
c
d
)
u
Associative property of multiplication
10.
1
(
u
)
=
u
Multiplicative identity property
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.
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