AP Precalculus -2.3 Exponential Functions- FRQ Exam Style Questions - Effective Fall 2023
AP Precalculus -2.3 Exponential Functions- FRQ Exam Style Questions – Effective Fall 2023
AP Precalculus -2.3 Exponential Functions- FRQ Exam Style Questions – AP Precalculus- per latest AP Precalculus Syllabus.
Question
Most-appropriate topic codes (AP Precalculus CED):
• 1.2: Rates of Change – part B(i), B(ii)
• 2.3: Exponential Functions – part B(iii)
• 1.13: Function Model Selection and Assumption Articulation – part C
▶️ Answer/Explanation
(A)(i) Equations
Substituting the points \((1, 3)\) and \((5, 89)\) into \(H(t) = ab^t\):
1. \(3 = ab^1\) (or \(3 = ab\))
2. \(89 = ab^5\)
(A)(ii) Values for a and b
Dividing equation 2 by equation 1: \(\frac{ab^5}{ab} = \frac{89}{3} \implies b^4 = 29.67\).
Solving for \(b\): \(b = (29.67)^{0.25} \approx 2.33\).
Solving for \(a\): \(a = \frac{3}{2.33} \approx 1.29\).
(B)(i) Average Rate of Change
\(\text{Rate} = \frac{H(5) – H(1)}{5 – 1} = \frac{89 – 3}{4} = \frac{86}{4} = 21.5\)
Answer: 21.5 feet per week.
(B)(ii) Interpretation
The answer indicates that between the first and fifth weeks, the bamboo tree grew at an average speed of 21.5 feet per week.
(B)(iii) Comparison
Greater. The function represents exponential growth (\(b > 1\)), which is concave up. This means the rate of growth increases over time, so the rate after week 5 will be steeper than the rate before week 5.
(C) Confidence
\(t = 4\) weeks.
The biologists should be more confident in \(t=4\) because it is an interpolation (within the observed data range). \(t=11\) is an extrapolation; biological growth cannot remain exponential indefinitely, so the model is likely inaccurate that far out.
Question
(B) (i) Find the average rate of change from \(t = 0\) to \(t = 4\). Explain its meaning.
(ii) Will the average rate of change from \(t = 4\) to \(t = t_a\) (with \(t_a > 4\)) be greater or less than that from \(t = 0\) to \(t = 4\)? Justify.
(C) As \(t \to \infty\), does the model make sense contextually? Why or why not?
Most-appropriate topic codes (AP Precalculus CED):
• 1.2: Rates of Change – part (B)(i), (B)(ii)
• 2.3: Exponential Functions – part (B)(ii)
• 3.2: Apply numerical results in a given mathematical or applied context – part (B)(i), (C)
• 3.3: Support conclusions or choices with a logical rationale or appropriate data – part (B)(ii), (C)
▶️ Answer/Explanation
(A) Exponential model \(P(t) = ae^{bt}\)
- Given: \(P(1) = 145\), \(P(2) = 115\).
- Divide the equations: \(\frac{P(2)}{P(1)} = \frac{115}{145} = \frac{23}{29} \approx 0.7931 = e^{b(2-1)} = e^b\).
- So \(b = \ln\left(\frac{23}{29}\right) \approx \ln(0.7931) \approx -0.2318\).
- Use \(P(1) = ae^{b\cdot1} = 145\): \(a = 145 \cdot e^{-b} = 145 \cdot \frac{29}{23} \approx 145 \cdot 1.2609 \approx 182.83\).
- Alternatively, compute directly: \(a = P(1) e^{-b} = 145 \cdot \frac{29}{23} = \frac{145 \cdot 29}{23} = \frac{4205}{23} \approx 182.826\).
- Thus, \(P(t) \approx 182.826 e^{-0.2318 t}\).
(B) i. Average rate of change from \(t = 0\) to \(t = 4\)
- \(P(0) = a \approx 182.826\).
- \(P(4) = 182.826 e^{-0.2318 \cdot 4} \approx 182.826 e^{-0.9272} \approx 182.826 \cdot 0.3956 \approx 72.34\).
- Average rate = \(\frac{P(4) – P(0)}{4 – 0} \approx \frac{72.34 – 182.826}{4} = \frac{-110.486}{4} \approx -27.622\) pellets per minute.
- Meaning: On average over the first 4 minutes, the dog ate about 27.6 pellets per minute.
(B) ii. Comparison of average rates
- For an exponential decay \(P(t) = ae^{bt}\) with \(b < 0\), the function is decreasing and concave up (since \(P”(t) = ab^2 e^{bt} > 0\)).
- In a concave up decreasing function, the average rate of change over an interval decreases in magnitude (becomes less negative) as the interval moves to the right.
- Thus, the average rate from \(t = 4\) to \(t = t_a\) will be greater (less negative) than that from \(t = 0\) to \(t = 4\).
- Reason: The instantaneous rate (derivative) is negative but increasing (becoming less negative), so later intervals have a smaller rate of loss.
(C) Limit as \(t \to \infty\)
- \(\lim_{t \to \infty} P(t) = \lim_{t \to \infty} ae^{bt} = 0\) because \(b < 0\).
- Context: The model predicts the pellets approach zero but never actually reach it. In reality, the dog will finish all pellets in finite time, so the model is not perfectly accurate for very large \(t\). However, it is a good approximation for the decay process while pellets remain.
- Thus, the model does not fully make sense as \(t \to \infty\) because it predicts the dog never finishes, while in reality the bowl becomes empty at some finite time.
Question

(ii) If \(h(x) = \frac{g(x)}{f(x)}\), then define any discontinuities, their type, and their location when \(x > 0\).
(B) Suppose \(j(x) = \frac{1}{4.998} \ln(x) \cdot e^{2\sin(\sqrt{x})}\) could be used to model \(f(x)\).
(i) Determine the end behavior of \(j\) when \(x\) increases without bound.Express your answer with the mathematical definition of a limit if it exists. If it does not exist, explain why.
(ii) Determine the vertical asymptote of \(j\) when \(x\) approaches 0 from the right.Express your answer with the mathematical definition of a limit if it exists. If it does not, explain why.
(C) Determine if \(g(x)\), using the values in the table, can be best modeled with a linear, quadratic, exponential, or logarithmic function. Explain your answer based on the relationship between the change
in the output values of 𝑔 and the change in the input values of 𝑔.
Most-appropriate topic codes (AP Precalculus CED):
• 2.3: Exponential Functions – part B(i), B(ii)
• 2.8: Inverse Functions – part A(i)
• 2.11: Logarithmic Functions – part B(i), B(ii), C
• 2.14: Logarithmic Function Context and Data Modeling – part C
▶️ Answer/Explanation
(A) i. \(g(f^{-1}(1))\)
- From the graph of \(f(x)\), \(f^{-1}(1)\) means find \(x\) such that \(f(x) = 1\).
- From the graph, \(f(x) = 1\) at approximately \(x \approx 2.5\). So \(f^{-1}(1) \approx 2.5\).
- From the table, \(g(2) = 1\), \(g(4) = 2\). Since \(g\) is increasing and continuous, by linear interpolation for \(x \approx 2.5\): \(g(2.5) \approx 1 + \frac{2.5-2}{4-2} \cdot (2-1) = 1 + 0.25 = 1.25\).
- Thus, \(g(f^{-1}(1)) \approx 1.25\).
(A) ii. \(h(x) = \frac{g(x)}{f(x)}\), \(x > 0\)
- Discontinuities occur where \(f(x) = 0\) or where \(f\) is undefined (but \(f\) appears continuous from the graph for \(x>0\)).
- From the graph, \(f(x) = 0\) at \(x \approx 1.5\) (where graph crosses x-axis). That is the only zero of \(f\) for \(x>0\).
- At \(x \approx 1.5\), \(g(x) \neq 0\) (since \(g\) is about 0.5 between \(g(1)=0\) and \(g(2)=1\)).
- Thus, \(h(x)\) has a vertical asymptote at \(x \approx 1.5\) because denominator → 0, numerator nonzero → \(h(x) \to \pm\infty\).
- Type: infinite discontinuity (vertical asymptote).
(B) i. End behavior of \(j(x) = \frac{1}{4.998} \ln(x) \cdot e^{2\sin(\sqrt{x})}\) as \(x \to \infty\)
- As \(x \to \infty\), \(\ln(x) \to \infty\).
- The factor \(e^{2\sin(\sqrt{x})}\) oscillates between \(e^{-2}\) and \(e^{2}\) because \(\sin(\sqrt{x})\) oscillates in \([-1,1]\).
- Thus \(j(x)\) oscillates with amplitude growing like \(\ln(x)\). The limit does not exist because oscillations persist and amplitude grows without bound.
- Limit expression: \(\lim_{x \to \infty} j(x)\) does not exist.
(B) ii. Vertical asymptote as \(x \to 0^+\)
- As \(x \to 0^+\), \(\ln(x) \to -\infty\).
- The factor \(e^{2\sin(\sqrt{x})} \to e^{0} = 1\) (since \(\sqrt{x} \to 0\), \(\sin(\sqrt{x}) \to 0\)).
- Thus \(j(x) \to -\infty\).
- Limit expression: \(\lim_{x \to 0^+} j(x) = -\infty\). So vertical asymptote at \(x=0\).
(C) Best model for \(g(x)\) from the table:
- Check changes in \(g(x)\) as \(x\) doubles:
- From \(x=0.5\) to \(x=1\), \(\Delta g = 1\).
- From \(x=1\) to \(x=2\), \(\Delta g = 1\).
- From \(x=2\) to \(x=4\), \(\Delta g = 1\).
- From \(x=4\) to \(x=8\), \(\Delta g = 1\).
- Each time \(x\) doubles, \(g(x)\) increases by about 1. This suggests a logarithmic relationship: \(g(x) \approx a + b \ln(x)\).
- Thus, \(g(x)\) is best modeled by a logarithmic function.
Question

(i) The function \( h \) is defined by \( h(x)=(g\circ f)(x)=g(f(x)) \). Find the value of \( h(3) \) as a decimal approximation, or indicate that it is not defined.
(ii) Find all values of \( x \) for which \( f(x)=1 \), or indicate that there are no such values.
(i) Find all values of \( x \), as decimal approximations, for which \( g(x)=2 \), or indicate that there are no such values.
(ii) Determine the end behavior of \( g \) as \( x \) increases without bound. Express your answer using the mathematical notation of a limit.
(i) Determine if \( f \) has an inverse function.
(ii) Give a reason for your answer based on the definition of a function and the graph of \( y=f(x) \).
Most-appropriate topic codes (CED):
• TOPIC 2.3: Exponential Functions — part (B)
• TOPIC 1.5: Inverse Functions — part (C)
▶️ Answer/Explanation
(A)(i)
From the graph, \( f(3)=1 \).
\( h(3)=g(f(3))=g(1)=2.916(0.7)=2.041 \).
(A)(ii)
From the graph, \( f(x)=1 \) at \( x=-3,0,3 \).
(B)(i)
\( 2.916(0.7)^x=2 \)
\( (0.7)^x=\frac{2}{2.916} \)
Taking logarithms,
\( x=\frac{\ln(\frac{2}{2.916})}{\ln(0.7)}\approx1.057 \).
(B)(ii)
Since \( 0.7<1 \), \( (0.7)^x \to 0 \) as \( x \to \infty \).
\( \lim_{x\to\infty} g(x)=0 \).
(C)
\( f \) does not have an inverse because it is not one-to-one.
For example, \( f(-3)=f(0)=f(3)=1 \).
Question
Part A
Part B
Part C
▶️ Answer/Explanation
Part A
(i)
Using the data $M(6) = 508.67$ and $M(12) = 517.50$:
$ab^{(6/12)} = 508.67$ (or $ab^{0.5} = 508.67$)
$ab^{(12/12)} = 517.50$ (or $ab = 517.50$)
(ii)
Divide the second equation by the first: $\frac{ab}{ab^{0.5}} = \frac{517.50}{508.67}$
$b^{0.5} \approx 1.017359…$
$b \approx (1.017359…)^2 \approx 1.035019…$
Using $ab = 517.50 \implies a = \frac{517.50}{1.035019…} \approx 500$
Final values: $a \approx 500.00$ and $b \approx 1.035$
Part B
(i)
$t = -2$ falls in the interval $-10 \le t < 0$, so $M(-2) = 500$.
$t = 12$ is given as $M(12) = 517.50$.
Average Rate of Change $= \frac{M(12) – M(-2)}{12 – (-2)}$
$= \frac{517.50 – 500}{12 + 2}$
$= \frac{17.50}{14} = 1.25$ dollars per month.
(ii)
The linear estimate $A(t)$ uses the point $(12, 517.50)$ and slope $1.25$.
$A(20) = M(12) + 1.25(20 – 12)$
$A(20) = 517.50 + 1.25(8)$
$A(20) = 517.50 + 10 = 527.50$ dollars.
(iii)
The model $M(t)$ for $t \ge 0$ is an exponential function ($b > 1$), which is concave up.
The estimate $A(t)$ is a linear function (a secant line).
Since $M(t)$ is increasing at an increasing rate (exponential growth), the linear model will fall further behind the actual values as $t$ increases.
Part C
The model is only valid as long as the account is open.
Setting $M(t) = 565$ allows us to solve for the maximum value of $t$.
$500(1.035)^{(t/12)} = 565$
This value of $t$ serves as the upper bound (maximum) for the domain of the model $M$.
