The dot product of vectors can be used in business applications. For Exercises 87-88, find the dot product and interpret the results. The components of n = 500 , 330 represent the number of T-shirts and hats, respectively, in the inventory of a surf shop. The components of p = 15 , 9 represent the price (in $) per T-shirt and hat, respectively. Find n ⋅ p and interpret the result.
The dot product of vectors can be used in business applications. For Exercises 87-88, find the dot product and interpret the results. The components of n = 500 , 330 represent the number of T-shirts and hats, respectively, in the inventory of a surf shop. The components of p = 15 , 9 represent the price (in $) per T-shirt and hat, respectively. Find n ⋅ p and interpret the result.
Solution Summary: The author calculates the dot product ncdot p, which represents the total amount of money, if the entire inventory were sold.
The dot product of vectors can be used in business applications. For Exercises 87-88, find the dot product and interpret the results.
The components of
n
=
500
,
330
represent the number of T-shirts and hats, respectively, in the inventory of a surf shop. The components of
p
=
15
,
9
represent the price (in $) per T-shirt and hat, respectively. Find
n
⋅
p
and interpret the result.
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.
A factorization A = PDP 1 is not unique. For A=
7 2
-4 1
1
1
5 0
2
1
one factorization is P =
D=
and P-1
30
=
Use this information with D₁
=
to find a matrix P₁ such that
-
-1 -2
0 3
1
-
- 1
05
A-P,D,P
P1
(Type an integer or simplified fraction for each matrix element.)
Matrix A is factored in the form PDP 1. Use the Diagonalization Theorem to find the eigenvalues of A and a basis for each eigenspace.
30 -1
-
1 0 -1
400
0
0 1
A=
3 4 3
0 1 3
040
3 1 3
0 0
4
1
0
0
003
-1 0 -1
Select the correct choice below and fill in the answer boxes to complete your choice.
(Use a comma to separate vectors as needed.)
A basis for the corresponding eigenspace is {
A. There is one distinct eigenvalue, λ =
B. In ascending order, the two distinct eigenvalues are λ₁
...
=
and 2
=
Bases for the corresponding eigenspaces are {
and ( ), respectively.
C. In ascending order, the three distinct eigenvalues are λ₁ =
=
12/2
=
and 3 = Bases for the corresponding eigenspaces are
{}, }, and {
respectively.
University Calculus: Early Transcendentals (4th Edition)
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