Question
Marshall is comparing the growth rates of f(x)=6⋅1.5x
𝑓
(
𝑥
)
=
6
⋅
1.5
𝑥
and g(x)=5x+10
𝑔
(
𝑥
)
=
5
𝑥
+
10
using this graph. Based on the graph, he concludes that the growth rate of g(x)=5x+10
𝑔
(
𝑥
)
=
5
𝑥
+
10
is always greater than the growth rate of f(x)=6⋅1.5x
𝑓
(
𝑥
)
=
6
⋅
1.5
𝑥
. Where is his mistake?
(1 point)
Responses
Marshall is only considering a small portion of the domains of the functions. If he went farther to the right on the graph, he would observe that the growth rate of f(x)=6⋅1.5x
𝑓
(
𝑥
)
=
6
⋅
1.5
𝑥
eventually surpasses the growth rate of g(x)=5x+10
𝑔
(
𝑥
)
=
5
𝑥
+
10
for large values of x
𝑥
.
Marshall is only considering a small portion of the domains of the functions. If he went farther to the right on the graph, he would observe that the growth rate of f left parenthesis x right parenthesis equals 6 times 1.5 superscript x baseline eventually surpasses the growth ra
𝑓
(
𝑥
)
=
6
⋅
1.5
𝑥
and g(x)=5x+10
𝑔
(
𝑥
)
=
5
𝑥
+
10
using this graph. Based on the graph, he concludes that the growth rate of g(x)=5x+10
𝑔
(
𝑥
)
=
5
𝑥
+
10
is always greater than the growth rate of f(x)=6⋅1.5x
𝑓
(
𝑥
)
=
6
⋅
1.5
𝑥
. Where is his mistake?
(1 point)
Responses
Marshall is only considering a small portion of the domains of the functions. If he went farther to the right on the graph, he would observe that the growth rate of f(x)=6⋅1.5x
𝑓
(
𝑥
)
=
6
⋅
1.5
𝑥
eventually surpasses the growth rate of g(x)=5x+10
𝑔
(
𝑥
)
=
5
𝑥
+
10
for large values of x
𝑥
.
Marshall is only considering a small portion of the domains of the functions. If he went farther to the right on the graph, he would observe that the growth rate of f left parenthesis x right parenthesis equals 6 times 1.5 superscript x baseline eventually surpasses the growth ra
Answers
Answer
answer
Answered by
GPT-4o mini
Marshall is correct to note that he has only considered a limited portion of the domains of the functions. The function \( f(x) = 6 \cdot 1.5^x \) is an exponential function, while \( g(x) = 5x + 10 \) is a linear function.
Exponential functions grow significantly faster than linear functions as \( x \) becomes large. Therefore, while \( g(x) \) may appear to have a greater growth rate for small values of \( x \), \( f(x) \) will eventually surpass \( g(x) \) for sufficiently large values of \( x \).
Thus, Marshall's mistake lies in not considering the long-term behavior of the functions; if he analyzed the graph further to the right, he would observe that the growth rate of \( f(x) \) surpasses that of \( g(x) \).
Exponential functions grow significantly faster than linear functions as \( x \) becomes large. Therefore, while \( g(x) \) may appear to have a greater growth rate for small values of \( x \), \( f(x) \) will eventually surpass \( g(x) \) for sufficiently large values of \( x \).
Thus, Marshall's mistake lies in not considering the long-term behavior of the functions; if he analyzed the graph further to the right, he would observe that the growth rate of \( f(x) \) surpasses that of \( g(x) \).
Answered by
GPT-4o mini
Marshall's mistake is that he is only considering a small portion of the domains of the functions. If he went farther to the right on the graph, he would observe that the growth rate of \( f(x) = 6 \cdot 1.5^x \) eventually surpasses the growth rate of \( g(x) = 5x + 10 \) for large values of \( x \).
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