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🎯⭐ INTERACTIVE LESSON

Exponential Models

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Exponential Models - Complete Interactive Lesson

Part 1: Exponential Growth & Decay

Exponential Models

Part 1 of 7 — Exponential Growth and Decay

In This Topic

PartTopic
1Exponential Growth & Decay
2Newton’s Law of Cooling
3Compound Interest & Continuous Growth
4Derivatives & Integrals of Exponentials
5Logistic Growth
6Problem-Solving Workshop
7Comprehensive Assessment

The Fundamental Differential Equation

dydt=ky  ⟹  y(t)=y0ekt\boxed{\frac{dy}{dt} = ky \implies y(t) = y_0 e^{kt}}

ParameterMeaning
y0y_0Initial value y(0)y(0)
k>0k > 0Exponential growth
k<0k < 0Exponential decay
ekte^{kt}Growth/decay factor

Key Fact: "Rate proportional to amount" always means dydt=ky\frac{dy}{dt} = ky. This is the most common DE on the AP exam.

Finding the Growth Constant kk

Step-by-step from two data points:

StepActionExample
1Write modely=y0ekty = y_0 e^{kt}
2Plug in first pointy0=500y_0 = 500 (at t=0t=0)
3Plug in second point1500=500e2k1500 = 500e^{2k}
4Isolate exponentiale2k=3e^{2k} = 3
5Take ln⁡\ln2k=ln⁡32k = \ln 3
6Solve for kkk=ln⁡32≈0.549k = \frac{\ln 3}{2} \approx 0.549

Doubling Time and Half-Life

tdouble=ln⁡2kthalf=ln⁡2∣k∣\boxed{t_{\text{double}} = \frac{\ln 2}{k}} \qquad \boxed{t_{\text{half}} = \frac{\ln 2}{|k|}}

QuantityGrowth (k>0k>0)Decay (k<0k<0)
Doubling timeln⁡2k\frac{\ln 2}{k}N/A
Half-lifeN/A$\frac{\ln 2}{
Triple timeln⁡3k\frac{\ln 3}{k}N/A
nn half-livesN/Ay0⋅(12)ny_0 \cdot (\tfrac{1}{2})^n remains

AP Tip: The Rule of 70: doubling time ≈70percent rate\approx \frac{70}{\text{percent rate}}. E.g., 7% growth ⇒\Rightarrow doubles in ≈10\approx 10 years.

Exponential Growth & Decay 🎯

Classify each scenario. 🔍

Solve for the growth constant. ✍️

Key Takeaways — Part 1

ConceptFormula
Exponential modely=y0ekty = y_0 e^{kt}
Finding kkk=ln⁡(y/y0)tk = \frac{\ln(y/y_0)}{t}
Doubling timeln⁡2k\frac{\ln 2}{k}
Half-life$\frac{\ln 2}{

Up Next: Part 2 — Newton’s Law of Cooling.

Part 2: Newton's Law of Cooling

Exponential Models

Part 2 of 7 — Newton’s Law of Cooling

The Differential Equation

dTdt=k(T−Ts)where k<0\boxed{\frac{dT}{dt} = k(T - T_s)} \quad \text{where } k < 0

The Solution

T(t)=Ts+(T0−Ts)ekt\boxed{T(t) = T_s + (T_0 - T_s)e^{kt}}

VariableMeaning
T(t)T(t)Temperature at time tt
TsT_sSurrounding (ambient) temperature
T0T_0Initial temperature T(0)T(0)
kkCooling constant (k<0k < 0)
T0−TsT_0 - T_sInitial temperature difference

Key Fact: The temperature difference (T−Ts)(T - T_s) decays exponentially. The object never overshoots the ambient temperature.

Worked Example

A cup of coffee at 200°F200°F is placed in a 70°F70°F room. After 10 minutes it’s 150°F150°F.

StepComputation
Set upT(t)=70+130ektT(t) = 70 + 130e^{kt}
Use data point150=70+130e10k150 = 70 + 130e^{10k}
Solve for e10ke^{10k}e10k=80130=813e^{10k} = \frac{80}{130} = \frac{8}{13}
Find kkk=110ln⁡813≈−0.0486k = \frac{1}{10}\ln\frac{8}{13} \approx -0.0486
Final modelT(t)=70+130e−0.0486tT(t) = 70 + 130e^{-0.0486t}

Follow-up: When does the coffee reach 100°F100°F?

100=70+130ekt100 = 70 + 130e^{kt}

ekt=30130=313e^{kt} = \frac{30}{130} = \frac{3}{13}

t=ln⁡(3/13)k=ln⁡(3/13)110ln⁡(8/13)≈30.2t = \frac{\ln(3/13)}{k} = \frac{\ln(3/13)}{\frac{1}{10}\ln(8/13)} \approx 30.2 min

AP Tip: Always identify TsT_s first. Then T0−TsT_0 - T_s is the initial difference. The model is always Ts+(difference)ektT_s + (\text{difference})e^{kt}.

Newton’s Cooling 🎯

Analyze cooling scenarios. 🔍

Apply Newton’s Law. ✍️

Key Takeaways — Part 2

ConceptFormula
Newton’s cooling DEdTdt=k(T−Ts)\frac{dT}{dt} = k(T - T_s)
SolutionT=Ts+(T0−Ts)ektT = T_s + (T_0 - T_s)e^{kt}
Long-term behaviorT→TsT \to T_s
Warming variantSame formula when T0<TsT_0 < T_s

Up Next: Part 3 — Compound Interest & Continuous Growth.

Part 3: Compound Interest & Continuous Growth

Exponential Models

Part 3 of 7 — Compound Interest & Continuous Growth

Compound Interest Formula

A=P(1+rn)nt\boxed{A = P\left(1 + \frac{r}{n}\right)^{nt}}

VariableMeaning
PPPrincipal (initial investment)
rrAnnual interest rate (decimal)
nnCompounding periods per year
ttTime in years
AAAmount after tt years

Continuous Compounding

A=Pert\boxed{A = Pe^{rt}}

As n→∞n \to \infty: P(1+r/n)nt→PertP(1 + r/n)^{nt} \to Pe^{rt}

Key Fact: Continuous compounding gives the maximum possible return for a given rate. It arises naturally from dAdt=rA\frac{dA}{dt} = rA.

Compounding Frequency Comparison

$1000 at 6% for 10 years:

FrequencynnFormulaAmount
Annual111000(1.06)101000(1.06)^{10}$1790.85
Quarterly441000(1.015)401000(1.015)^{40}$1814.02
Monthly12121000(1.005)1201000(1.005)^{120}$1819.40
Daily3653651000(1+.06/365)36501000(1+.06/365)^{3650}$1822.03
Continuous∞\infty1000e0.61000e^{0.6}$1822.12

Key Formulas

QuestionFormula
Doubling time (continuous)t=ln⁡2rt = \frac{\ln 2}{r}
Time to reach amount AAt=ln⁡(A/P)rt = \frac{\ln(A/P)}{r}
Effective annual rateer−1e^r - 1 (continuous)
Required rater=ln⁡(A/P)tr = \frac{\ln(A/P)}{t}

AP Tip: On the AP exam, continuous compounding (A=PertA = Pe^{rt}) appears far more often than discrete compounding.

Compound Interest 🎯

Interest concepts. 🔍

Solve for time. ✍️

Key Takeaways — Part 3

ConceptFormula
Discrete compoundingA=P(1+r/n)ntA = P(1+r/n)^{nt}
Continuous compoundingA=PertA = Pe^{rt}
Doubling timeln⁡2r\frac{\ln 2}{r}
Rule of 70Doubling time ≈70/percent rate\approx 70/\text{percent rate}

Up Next: Part 4 — Derivatives & Integrals of Exponentials.

Part 4: Derivatives & Integrals of Exponentials

Exponential Models

Part 4 of 7 — Derivatives & Integrals of Exponentials

Derivative Rules

ddx[ex]=exddx[ekx]=kekx\boxed{\frac{d}{dx}[e^x] = e^x \qquad \frac{d}{dx}[e^{kx}] = ke^{kx}}

ddx[ax]=axln⁡addx[ag(x)]=ag(x)⋅(ln⁡a)⋅g′(x)\boxed{\frac{d}{dx}[a^x] = a^x \ln a \qquad \frac{d}{dx}[a^{g(x)}] = a^{g(x)} \cdot (\ln a) \cdot g'(x)}

Integration Rules

∫ekx dx=1kekx+C∫ax dx=axln⁡a+C\boxed{\int e^{kx}\,dx = \frac{1}{k}e^{kx} + C \qquad \int a^x\,dx = \frac{a^x}{\ln a} + C}

Complete Reference Table

FunctionDerivativeIntegral
exe^xexe^xex+Ce^x + C
ekxe^{kx}kekxke^{kx}1kekx+C\frac{1}{k}e^{kx} + C
eg(x)e^{g(x)}eg(x)⋅g′(x)e^{g(x)} \cdot g'(x)Use u-sub
axa^xaxln⁡aa^x \ln aaxln⁡a+C\frac{a^x}{\ln a} + C
ln⁡x\ln x1x\frac{1}{x}xln⁡x−x+Cx\ln x - x + C

Key Fact: exe^x is the only function that is its own derivative AND its own antiderivative.

Worked Examples

Derivatives:

FunctionChain Rule ApplicationResult
e3x2e^{3x^2}e3x2⋅6xe^{3x^2} \cdot 6x6xe3x26xe^{3x^2}
2sin⁡x2^{\sin x}2sin⁡x⋅ln⁡2⋅cos⁡x2^{\sin x} \cdot \ln 2 \cdot \cos x(ln⁡2)(cos⁡x)⋅2sin⁡x(\ln 2)(\cos x) \cdot 2^{\sin x}
ex2+1e^{x^2+1}ex2+1⋅2xe^{x^2+1} \cdot 2x2xex2+12xe^{x^2+1}

Integrals:

IntegralMethodResult
∫e−3xdx\int e^{-3x}dxDirect: k=−3k=-3−13e−3x+C-\frac{1}{3}e^{-3x}+C
∫xex2dx\int xe^{x^2}dxu=x2u=x^2, du=2x dxdu=2x\,dx12ex2+C\frac{1}{2}e^{x^2}+C
∫01e2xdx\int_0^1 e^{2x}dx[12e2x]01[\frac{1}{2}e^{2x}]_0^1e2−12\frac{e^2-1}{2}
∫3xdx\int 3^x dxaxln⁡a\frac{a^x}{\ln a} rule3xln⁡3+C\frac{3^x}{\ln 3}+C

Exponential Calculus 🎯

Match each integral. 🔍

Evaluate the integral. ✍️

Key Takeaways — Part 4

RuleFormula
ddx[ekx]\frac{d}{dx}[e^{kx}]kekxke^{kx}
∫ekx dx\int e^{kx}\,dx1kekx+C\frac{1}{k}e^{kx}+C
ddx[ax]\frac{d}{dx}[a^x]axln⁡aa^x \ln a
∫ax dx\int a^x\,dxaxln⁡a+C\frac{a^x}{\ln a}+C

Up Next: Part 5 — Logistic Growth.

Part 5: Logistic Growth

Exponential Models

Part 5 of 7 — Logistic Growth

The Logistic Differential Equation

dPdt=kP(1−PL)\boxed{\frac{dP}{dt} = kP\left(1 - \frac{P}{L}\right)}

VariableMeaning
PPPopulation at time tt
kkGrowth rate constant
LLCarrying capacity
kPkPGrowth term
(1−P/L)(1-P/L)Limiting factor

Key Behaviors

ConditionGrowth RateBehavior
P≪LP \ll L≈kP\approx kPNearly exponential
P=L/2P = L/2Maximum: kL/4kL/4Inflection point
P=LP = LZeroEquilibrium
P>LP > LNegativePopulation decreases toward LL
P=0P = 0ZeroNo population

Key Fact: The logistic model is the most realistic population model on the AP exam. It accounts for limited resources.

The Logistic Curve (S-Curve)

PhasePP rangeShapeDescription
Phase 10<P<L/20 < P < L/2Concave upAccelerating growth
InflectionP=L/2P = L/2Changes concavityFastest growth rate
Phase 2L/2<P<LL/2 < P < LConcave downDecelerating growth
EquilibriumP=LP = LHorizontalStable steady state

The Solution (for reference)

P(t)=L1+Ae−ktwhere A=L−P0P0P(t) = \frac{L}{1 + Ae^{-kt}} \quad \text{where } A = \frac{L - P_0}{P_0}

Maximum Growth Rate

(dPdt)max⁡=kL4at P=L2\boxed{\left(\frac{dP}{dt}\right)_{\max} = \frac{kL}{4} \quad \text{at } P = \frac{L}{2}}

AP Tip: You do NOT need to memorize the logistic solution formula. AP questions focus on the DE, carrying capacity, inflection point, and qualitative behavior.

Logistic Growth 🎯

Consider dPdt=0.5P(1−P/1000)\frac{dP}{dt} = 0.5P(1 - P/1000).

Logistic analysis. 🔍

Compute the maximum growth rate. ✍️

Key Takeaways — Part 5

ConceptFormula
Logistic DEdPdt=kP(1−P/L)\frac{dP}{dt} = kP(1-P/L)
Carrying capacityLL
Fastest growth atP=L/2P = L/2
Maximum ratekL/4kL/4
Long-term behaviorP→LP \to L

Up Next: Part 6 — Problem-Solving Workshop.

Part 6: Practice Workshop

Exponential Models

Part 6 of 7 — Problem-Solving Workshop

Model Selection Guide

Verbal ClueModelEquation
"Rate proportional to amount"Exponentialdy/dt=kydy/dt = ky
"Approaches a limiting value"LogisticdP/dt=kP(1−P/L)dP/dt = kP(1-P/L)
"Rate proportional to difference"Newton’s CoolingdT/dt=k(T−Ts)dT/dt = k(T-T_s)
"Doubles every nn years"Exponentialy=y0⋅2t/ny = y_0 \cdot 2^{t/n}
"Half-life of nn years"Exponential decayy=y0(1/2)t/ny = y_0 (1/2)^{t/n}
"Compounded continuously"Continuous growthA=PertA = Pe^{rt}

Key Fact: Read the problem carefully for keywords. The model type determines the entire solution strategy.

AP-Style Worked Problems

Problem 1: Carbon-14 has a half-life of 5730 years. A sample has 30% of its original C-14. How old is it?

StepWork
Modely=y0ekty = y_0 e^{kt}
Find kk12=e5730k\frac{1}{2} = e^{5730k}, k=−ln⁡25730k = -\frac{\ln 2}{5730}
Use 30%0.30=ekt0.30 = e^{kt}
Solvet=ln⁡(0.30)k=5730ln⁡(0.30)−ln⁡2≈9953t = \frac{\ln(0.30)}{k} = \frac{5730 \ln(0.30)}{-\ln 2} \approx 9953 years

Problem 2: A lake has 1000 fish. The population follows dPdt=0.2P(1−P/5000)\frac{dP}{dt} = 0.2P(1-P/5000).

QuestionAnswer
Carrying capacity?L=5000L = 5000
Currently growing?Yes: P=1000<5000P = 1000 < 5000
Current growth rate?0.2(1000)(1−1000/5000)=1600.2(1000)(1-1000/5000) = 160 fish/year
Max possible rate?kL/4=0.2(5000)/4=250kL/4 = 0.2(5000)/4 = 250 fish/year
When is max rate?At P=2500P = 2500

Mixed Practice 🎯

Identify the model. 🔍

Apply the right model. ✍️

Key Takeaways — Part 6

KeywordModel
Proportional to amountExponential
Approaches limitLogistic
Proportional to differenceNewton’s cooling
Doubles/halvesExponential with 2t/n2^{t/n} or (1/2)t/n(1/2)^{t/n}

Up Next: Part 7 — Comprehensive Assessment.

Part 7: Final Assessment

Exponential Models

Part 7 of 7 — Comprehensive Assessment

Complete Formula Reference

ModelDESolution
Exponential growthdy/dt=kydy/dt = ky, k>0k>0y=y0ekty = y_0 e^{kt}
Exponential decaydy/dt=kydy/dt = ky, k<0k<0y=y0ekty = y_0 e^{kt}
Newton’s coolingdT/dt=k(T−Ts)dT/dt = k(T-T_s)T=Ts+(T0−Ts)ektT = T_s+(T_0-T_s)e^{kt}
LogisticdP/dt=kP(1−P/L)dP/dt=kP(1-P/L)P→LP \to L as t→∞t \to \infty
Continuous compoundingdA/dt=rAdA/dt = rAA=PertA = Pe^{rt}

Top AP Mistakes

MistakeCorrection
Using wrong sign for kkDecay: k<0k < 0. Growth: k>0k > 0.
Forgetting TsT_s in Newton’s LawT=Ts+(diff)ektT = T_s + (\text{diff})e^{kt}, not T=T0ektT = T_0 e^{kt}
Max logistic rate at P=LP=LMax rate at P=L/2P = L/2, NOT at LL
Confusing half-life formula$t_{1/2} = \frac{\ln 2}{
Wrong doubling formulatdouble=ln⁡2kt_{double} = \frac{\ln 2}{k}, not 2k\frac{2}{k}
Not checking unitsRate units = (quantity units)/(time units)

Quiz — Growth & Decay 🎯

Quiz — Cooling & Logistic 🎯

Final classification. 🔍

Final Challenge ✍️

Exponential Models — Complete!

You’ve mastered:

PartTopic
1Exponential growth & decay
2Newton’s Law of Cooling
3Compound interest & continuous growth
4Derivatives & integrals of exponentials
5Logistic growth
6Problem-solving workshop
7Comprehensive assessment

You’re ready for AP-level exponential model problems!