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.
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.
PRIMERA EVALUACIÓN SUMATIVA
10. Determina la medida de los ángulos in-
teriores coloreados en cada poligono.
⚫ Octágono regular
A
11. Calcula es número de lados qu
poligono regular, si la medida
quiera de sus ángulos internos
• a=156°
A= (-2x+80
2
156 180-
360
0 = 24-360
360=24°
• a = 162°
1620-180-360
6=18-360
360=19
2=360=
18
12. Calcula las medida
ternos del cuadrilá
B
X+5
x+10
A
X+X+
Sx+6
5x=3
x=30
0
лаб
• Cuadrilátero
120°
110°
• α = 166° 40'
200=180-360
0 =
26-360
360=20
ひ=360
20
18 J
60°
⚫a=169° 42' 51.43"
169.4143180-340
0 = 10.29 54-360
360 10.2857
2=360
10.2857
@Sa
Please help I'm a working mom trying to help my son last minute (6th grader)! Need help with the blank ones and check the ones he got with full calculation so we can use it to study! Especially the mixed number fractions cause I'm rusty. Thanks in advance!
Chapter 4 Solutions
Bundle: Elementary Linear Algebra, Loose-leaf Version, 8th + WebAssign Printed Access Card for Larson's Elementary Linear Algebra, 8th Edition, Single-Term
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