Advertising. A company is trying to expose a new product to as many people as possible through TV ads. Suppose that the rate of exposure to new people is proportional to the number of those who have not seen the product out of L possible viewers (limited growth). No one is aware of the product at the start of the campaign, and after 10 days, 33% of L are aware of the product. Mathematically, d N d t = k ( L − N ) N ( 0 ) = 0 N ( 10 ) = 0.33 L (A) Solve the differential equation. (B) How many days will it take to expose 66% of L ? (C) Graph the solution found in part (A) for 0 ≤ t ≤ 90.
Advertising. A company is trying to expose a new product to as many people as possible through TV ads. Suppose that the rate of exposure to new people is proportional to the number of those who have not seen the product out of L possible viewers (limited growth). No one is aware of the product at the start of the campaign, and after 10 days, 33% of L are aware of the product. Mathematically, d N d t = k ( L − N ) N ( 0 ) = 0 N ( 10 ) = 0.33 L (A) Solve the differential equation. (B) How many days will it take to expose 66% of L ? (C) Graph the solution found in part (A) for 0 ≤ t ≤ 90.
Advertising. A company is trying to expose a new product to as many people as possible through TV ads. Suppose that the rate of exposure to new people is proportional to the number of those who have not seen the product out of L possible viewers (limited growth). No one is aware of the product at the start of the campaign, and after 10 days, 33% of L are aware of the product. Mathematically,
d
N
d
t
=
k
(
L
−
N
)
N
(
0
)
=
0
N
(
10
)
=
0.33
L
(A) Solve the differential equation.
(B) How many days will it take to expose 66% of L?
(C) Graph the solution found in part (A) for 0 ≤ t ≤ 90.
Examples: Solve the following differential equation using Laplace transform
(e) ty"-ty+y=0 with y(0) = 0, and y'(0) = 1
Examples:
Solve the following differential equation using Laplace transform
(a) y" +2y+y=t with y(0) = 0, and y'(0) = 1
Temperature for Sudbury
(degrees Celsius)
3.
The following table gives the mean monthly temperatures for Sudbury, Ontario and
Windsor, Ontario. Each month is represented by the day of the year in the middle of the month.
Month
Day of Year
Temperature for Windsor
(degrees Celsius)
January
15
-13.7
-4.7
February
45
-11.9
-3.8
March
75
-5.9
2.3
April
106
3.0
8.7
May
136
10.6
14.6
June
167
15.8
20.2
July
197
18.9
22.6
August
228
17.4
22.0
September
259
12.2
17.9
October
289
6.2
11.5
November
320
-1.2
4.8
December
350
-10.1
-1.2
a) Create a scatter plot of temperature vs. day of the year for each city.
b) Draw the curve of best fit for each graph.
c) Use your graphs to estimate when the temperature increases fastest, for each set of
temperature data. Explain how you determined these values.
d) Use your graphs to estimate the rate at which the temperature is increasing at the two
times
from question 3.
e) Determine an equation of a sinusoidal function to model the data for each city
Elementary and Intermediate Algebra: Concepts and Applications (7th Edition)
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, calculus and related others by exploring similar questions and additional content below.