UG Applied Mathematics Booster Test 3 - Mathematical Modeling
π Answers are locked once submitted β results and explanations appear at the end.
QUESTION 1 OF 20
Why is an in-depth study of differential equations of great importance in modern scientific investigations, rather than relying solely on algebra?
QUESTION 2 OF 20
Match the modeled processes to their mathematical interpretation equations given in the text:
| List I | List II |
|---|---|
| 1. Rate of change of drug in GI-tract | a. (I) dA/dt = rA |
| 2. Change of population | b. dT/dt = -k(T - A) |
| 3. Rate of change of temperature | c. dP/dt = (Ξ± - Ξ²)P |
| 4. Rate of change of money continuously compounded | d. dx/dt = -kβ x |
QUESTION 3 OF 20
During the problem formulation phase, establishing the rate of change of population P with respect to time involves which constants?
1. Constant birth rate Ξ±
2. Constant death rate Ξ²
3. Surrounding temperature A
4. Annual interest rate r
QUESTION 4 OF 20
Select the incorrect statement regarding the mathematical interpretation of models like the decay model.
QUESTION 5 OF 20
When representing dynamic systems of growth or mixture, the general mathematical model f'(t) = k f(t) uses k as a constant that specifically depends on:
QUESTION 6 OF 20
What constraint explicitly differentiates the exponential growth model from the exponential decay model in changing quantities modeled by
\(y=Ae^{kt}?\)
QUESTION 7 OF 20
In exponential growth with a positive constant, if a quantity doubles from its initial amount \(A\) to \(2A\), the doubling time \(t\) can be mathematically derived as:
\(t=\frac{k}{\ln\,2}\)
\(t=\frac{\ln\,2}{k}\)
\(t=lnβ‘(2k)\)
\(t=\frac{2}{\ln\,k}\)
QUESTION 8 OF 20
In the graph depicting
\(y=Ae^{kt}\)
for an increasing function (Exponential Growth), the y-intercept is denoted by the point:
QUESTION 9 OF 20
In a negative growth constant scenario, what happens to the value of the exponential term
\(e^{kt}\)
as time \(t\) becomes very large?
QUESTION 10 OF 20
Observing the exponential decay of a decreasing function, the initial amount \(A\) changes to \(A/2\) after a specific period known as the half-life. Using
\(x=x_{0}e^{-kt},\)
what is the exact expression for the half-life \(t\)?
\(t=\frac{\ln\,2}{k}\)
\(t=-\frac{\ln\,2}{k}\)
\(t=lnβ‘\left(\frac{1}{2}\right)k\)
\(t=\frac{k}{\ln\,2}\)
QUESTION 11 OF 20
In the differential equation for population growth dP/dt = kP, the constant k is derived from the birth rate model (Ξ±) and death rate model (Ξ²) as:
QUESTION 12 OF 20
If a population model is integrated to yield
\(P=Ae^{kt},\)
where
\(k=\alpha -\beta ,\)
under what condition will the population size remain perfectly static over time?
QUESTION 13 OF 20
A proportional growth model
\(P(t)=\lambda e^{kt}\)
is used for bacteria. If
\(P(3)=10,000\)
and
\(P(5)=40,000,\)
the division of the two equations
\(\frac{\lambda e^{5k}}{\lambda e^{3k}}\)
yields:
\(e^{2k}=4\)
\(e^{k}=4\)
\(e^{8k}=4\)
\(e^{15k}=4\)
QUESTION 14 OF 20
After finding
\(e^{k}=2,\)
in the bacterial growth problem, substituting this back to find the initial population \(\lambda\) through
\(\lambda (2)^{3}=10,000\)
evaluates to:
\(\frac{10,000}{6}\)
\(\frac{10,000}{8}\)
\(\frac{10,000}{4}\)
\(\frac{10,000}{2}\)
QUESTION 15 OF 20
During a short time interval \(\Delta t\), the amount of continuous compounding interest added to an account \(A\) with annual rate \(r\) is approximately given by which expression before taking the limit?
\(\Delta A=rβ
A(t)β
\Delta t\)
\(\Delta A=\frac{r}{A(t)}β
\Delta t\)
\(\Delta A=\frac{A(t)}{r\Delta t}\)
\(\Delta A=r^{A(t)}\Delta t\)
QUESTION 16 OF 20
A bank pays 4% interest compounded continuously. What is the precise analytical solution for the time it takes the money to double, given that
\(e^{0.04t}=2?\)
\(t=\frac{\ln\,2}{0.4}\)
\(t=\frac{\ln\,2}{0.04}\)
\(t=\frac{2}{0.04}\)
\(t=\frac{\ln\,0.04}{2}\)
QUESTION 17 OF 20
Evaluating the cake cooling process from
\(t=0β
β(T={185}^{\circ })\)
to
\(t=30β
β(T={150}^{\circ }),\)
with
\(A={75}^{\circ },\)
the constant \(k\) is embedded in the equation
\(e^{-30k}=\frac{75}{110}.\)
What is the fraction
\(\frac{75}{110}\)
reduced to decimal form as given in the text?
QUESTION 18 OF 20
For the heating process under Newton's Law of Cooling, the temperature of the body T is less than the surrounding medium A. Consequently, dT/dt is positive, indicating that the temperature T is an:
QUESTION 19 OF 20
whose general solution is
\(x(t)=x_{0}e^{-k_{1}t},\)
where \(x_{0}\)is the initial amount of Carbon-14 in the living organism. Carbon-14 has a half-life of 5700 years, which means that after 5700 years only half of the original Carbon-14 remains. Thus,
\(\frac{x_{0}}{2}=x_{0}e^{-5700k_{1}}.\)
Cancelling \(x_{0}\)and solving for the decay constant gives
\(k_{1}=\frac{\ln\,2}{5700}.\)
Substituting this value into the exponential decay equation, we obtain
\(x(t)=x_{0}e^{-\left(\frac{\ln\,2}{5700}\right)t}.\)
Using this model, the age of an archaeological sample can be estimated by comparing its remaining Carbon-14 with the original amount \(x_{0}\).
Question : Utilizing the half-life concept and substituting
\(k_{1}=\frac{\ln\,2}{5700}\)
into the general equation, what is the exact formula for
\(x(t)?\)
\(x(t)=x_{0}e^{\frac{(lnβ‘2)t}{5700}}\)
\(x(t)=x_{0}e^{-\left(\frac{\ln\,2}{5700}\right)t}\)
\(x(t)=x_{0}e^{-5700(lnβ‘2)t}\)
\(x(t)=x_{0}lnβ‘\left(\frac{2t}{5700}\right)\)
QUESTION 20 OF 20
(Passage-Based)
To find the differential equation governing the variation in the amount of Carbon-14, scientists use the model
\(\frac{dx}{dt}=-k_{1}x,\)
whose general solution is
\(x(t)=x_{0}e^{-k_{1}t},\)
where \(x_{0}\)is the initial amount of Carbon-14 in the living organism. Carbon-14 has a half-life of 5700 years, which means that after 5700 years only half of the original Carbon-14 remains. Thus,
\(\frac{x_{0}}{2}=x_{0}e^{-5700k_{1}}.\)
Cancelling \(x_{0}\)and solving for the decay constant gives
\(k_{1}=\frac{\ln\,2}{5700}.\)
Substituting this value into the exponential decay equation, we obtain
\(x(t)=x_{0}e^{-\left(\frac{\ln\,2}{5700}\right)t}.\)
Using this model, the age of an archaeological sample can be estimated by comparing its remaining Carbon-14 with the original amount \(x_{0}\).
Question: In the age estimation process for a sample containing
\(\frac{1}{4}\)
of the original Carbon-14, substituting
\(x(t)=\frac{x_{0}}{4}\)
into the decay equation
\(\frac{x_{0}}{4}=x_{0}e^{-\left(\frac{\ln\,2}{5700}\right)t}\)
yields which analytical step?
\(lnβ‘\left(\frac{1}{4}\right)=\left(,\ \frac{\ln\,2}{5700}\right)t\)
\(lnβ‘4=\left(\frac{\ln\,2}{5700}\right)t\)
\(-lnβ‘4=\left(\frac{\ln\,2}{5700}\right)t\)
\(\frac{1}{4}=\left(,\ \frac{\ln\,2}{5700}\right)t\)
Test Complete!
Answer Review
1 Why is an in-depth study of differential equations of great importance in modern scientific investigations, rather than relying solely on algebra?
Real-world systems involve change Differential equations model rates of change Algebra alone is static
Natural phenomena such as motion, growth, decay, and heat transfer involve continuously changing quantities. Differential equations are essential because they relate variables with their rates of change (derivatives), which algebra cannot describe dynamically.
- A β Incorrect role of algebra and DE
- C β Not true; many tools exist in social sciences
- D β Algebra does apply to physical problems
Used: Contextual/Tonal Matching
Final Logic: Identify true statement about dynamic systems
"Change β Differential Equations"
2 Match the modeled processes to their mathematical interpretation equations given in the text:
| List I | List II |
|---|---|
| 1. Rate of change of drug in GI-tract | a. (I) dA/dt = rA |
| 2. Change of population | b. dT/dt = -k(T - A) |
| 3. Rate of change of temperature | c. dP/dt = (Ξ± - Ξ²)P |
| 4. Rate of change of money continuously compounded | d. dx/dt = -kβ x |
Match each physical process to DE Use standard growth/decay laws Temperature uses Newton's law
(1) Drug decay β dx/dt = -kβx (d) (2) Population β dP/dt = (Ξ± β Ξ²)P (c) (3) Temperature β dT/dt = -k(T β A) (b) (4) Continuous money growth β dA/dt = rA (a)
- A β incorrect pairing of all processes
- B β mismatches population and decay
- C β incorrect assignment of equations
Used: Option Grouping
Final Logic: Direct mapping of standard models
"DecayβPopulationβHeatβMoney order"
3 During the problem formulation phase, establishing the rate of change of population P with respect to time involves which constants?
1. Constant birth rate Ξ±
2. Constant death rate Ξ²
3. Surrounding temperature A
4. Annual interest rate r
Population depends on birth and death rates Only Ξ± and Ξ² are relevant Other parameters belong to different models
Population growth is modeled by dP/dt = (Ξ± β Ξ²)P, where only Ξ± (birth rate) and Ξ² (death rate) affect population change.
- C β belongs to cooling model
- D β belongs to interest model
- C and D irrelevant to population equation
Used: Elimination
Final Logic: Identify relevant parameters in model
"Population = Birth β Death only"
4 Select the incorrect statement regarding the mathematical interpretation of models like the decay model.
t represents time, not mass Only modeling steps are valid Misinterpretation in option C
In differential equation models, t always represents time, not physical mass. Hence C is incorrect, while other options correctly describe modeling steps.
- A β correct property of decay
- B β correct modeling step
- D β correct interpretation principle
Used: Extreme Word Filter
Final Logic: Identify incorrect universal claim
"t = time, never mass"
5 When representing dynamic systems of growth or mixture, the general mathematical model f'(t) = k f(t) uses k as a constant that specifically depends on:
k controls growth speed Determines increase or decrease Independent of time/initial value
In f'(t) = kf(t), k represents proportionality constant defining growth or decay rate, not initial conditions or external variables.
- A β initial value is separate constant
- C β time is independent variable
- D β temperature not part of general model
Used: Conceptual Matching
Final Logic: Interpret meaning of k in DE
"k = growth speed"
6 What constraint explicitly differentiates the exponential growth model from the exponential decay model in changing quantities modeled by
\(y=Ae^{kt}?\)
The sign of the constant \(k\) determines whether the quantity grows or decays. A positive \(k\) gives exponential growth, while a negative \(k\) gives exponential decay.
The exponential model is \(y=Ae^{kt}.\) The constant \(k\) is called the growth/decay constant. If \(k>0,\) then \(e^{kt}\) increases as \(t\) increases, so the quantity grows exponentially. If \(k<0,\) then \(e^{kt}=e^{-β£kβ£t},\) which decreases as \(t\) increases, so the quantity decays exponentially. Thus, Growth: \(k>0\) Decay: \(k<0\) Hence, Option C is correct.
- Option A)
- Incorrect because growth and decay are not determined by whether \(t\) is positive or negative.
- The determining factor is the sign of \(k\).
- Option B)
- Incorrect because \(A\) represents the initial amount, not whether the function grows or decays.
- The sign of \(k\) determines the behavior.
- Option C)
- β Correct.
- The sign of the growth constant \(k\) distinguishes exponential growth from exponential decay.
- Option D)
- Incorrect because the comparison is not between \(k<1\) and \(k>1\).
- Only the sign of \(k\) matters.
Used
- Analyse the Sign of the Growth Constant
Application:
- 1. Identify the exponential model
- \(y=Ae^{kt}.\)
- 1. Examine the sign of \(k\).
- 2. Conclude:
- \(k>0\)β Growth
- \(k<0\)β Decay
Mnemonic: "The Sign of \(k\) Controls the Curve."
7 In exponential growth with a positive constant, if a quantity doubles from its initial amount \(A\) to \(2A\), the doubling time \(t\) can be mathematically derived as:
\(t=\frac{k}{\ln\,2}\)
\(t=\frac{\ln\,2}{k}\)
\(t=lnβ‘(2k)\)
\(t=\frac{2}{\ln\,k}\)
For exponential growth, \(y=Ae^{kt},k>0.\) When the quantity doubles, \(y=2A\). Solving the resulting equation gives the doubling time \(t=\frac{\ln\,2}{k}.\)
The exponential growth model is \(y=Ae^{kt},\) where \(A\)= initial amount, \(k>0\)= growth constant. For doubling, \(y=2A.\) Substitute into the model: \(2A=Ae^{kt}.\) Divide both sides by \(A\): \(2=e^{kt}.\) Take the natural logarithm on both sides: \(lnβ‘2=kt.\) Hence, \(t=\frac{\ln\,2}{k}.\) Therefore, Option B is correct
- Option A)
- \(t=\frac{k}{\ln\,2}\)
- Incorrect because the numerator and denominator are interchanged.
- The correct formula is
- \(t=\frac{\ln\,2}{k}.\)
- Option B)
- \(t=\frac{\ln\,2}{k}\)
- β Correct.
- It is obtained directly from
- \(2=e^{kt}.\)
- Option C)
- \(t=lnβ‘(2k)\)
- Incorrect because the logarithm is not applied to \(2k\).
- The correct derivation gives
- \(kt=lnβ‘2.\)
- Option D)
- \(t=\frac{2}{\ln\,k}\)
- Incorrect because this expression does not follow from the exponential growth equation.
Used
- Substitution and Natural Logarithm
Application:
- 1. Use the growth model
- \(y=Ae^{kt}.\)
- 1. Substitute \(y=2A\).
- 2. Divide by \(A\).
- 3. Take the natural logarithm.
- 4. Solve for \(t\).
Mnemonic: "Double β \(\ln\,2\); Half β also \(\ln\,2\)."
8 In the graph depicting
\(y=Ae^{kt}\)
for an increasing function (Exponential Growth), the y-intercept is denoted by the point:
The y-intercept is obtained by substituting \(t=0.\) Since \(y=Ae^{k(0)}=Ae^{0}=A,\) the graph passes through \((0,A).\)
The exponential growth model is \(y=Ae^{kt},\) where \(A\) is the initial amount, \(k>0\) is the growth constant. To find the y-intercept, substitute \(t=0.\) Then, \(y=Ae^{0}=A.\) Therefore, the graph intersects the y-axis at \((0,A).\) Hence, Option B is correct.
- Option A) \(\left(A,\ 0\right)\)
- Incorrect because this point lies on the x-axis.
- The y-intercept must have an x-coordinate (time) of 0.
- Option B) \(\left(0,\ A\right)\)
- Correct.
- At
- \(t=0,\)
- the function value is
- \(A.\)
- Option C) \(\left(k,\ A\right)\)
- Incorrect because \(k\) is the growth constant, not the x-coordinate of the y-intercept.
- Option D) \(\left(0,\ k\right)\)
- Incorrect because the y-coordinate at
- \(t=0\)
- is \(A\), not \(k\).
Used
- Evaluate the Function at \(t=0\)
Application:
- 1. Write the function:
- \(y=Ae^{kt}.\)
- 1. Substitute
- \(t=0.\)
- 1. Use
- \(e^{0}=1.\)
- 1. Obtain the y-intercept.
Mnemonic: "Time Zero β Initial Amount."
9 In a negative growth constant scenario, what happens to the value of the exponential term
\(e^{kt}\)
as time \(t\) becomes very large?
When \(k<0\), the exponent \(kt\) becomes a very large negative number as \(t\) increases. Therefore, y = \(e^{-kt}\) and hence, \(e^{kt}\rightarrow 0.\)
The exponential function is \(e^{kt}.\) If \(k<0,\) then \(kt\rightarrow -\infty\) as \(t\rightarrow \infty .\) Since \({limβ‘}_{x\rightarrow -\infty }e^{x}=0,\) we obtain \({limβ‘}_{t\rightarrow \infty }e^{kt}=0.\) Thus, the exponential term continuously decreases and approaches zero, which is the basis of exponential decay. Hence, Option D is correct.
- Option A) It approaches 1
- Incorrect because \(e^{kt}=1\) only when \(kt=0\)(for example, at \(t=0\)), not as \(t\) becomes very large.
- Option B) It approaches -1
- Incorrect because the exponential function is always positive and can never become negative.
- Option C) It approaches \(k\)
- Incorrect because \(e^{kt}\)approaches 0, not the constant \(k\).
- Option D) It approaches 0
- Correct.
- For \(k<0\),
- \(e^{kt}\rightarrow 0\)
- as
- \(t\rightarrow \infty .\)
Used
- Analyse the Limit of the Exponential Function
Application:
- 1. Identify that \(k<0\).
- 2. Observe that as \(t\rightarrow \infty\),
- \(kt\rightarrow -\infty .\)
- 1. Use the standard limit
- \(e^{-\infty }=0.\)
Mnemonic: "Negative \(k\), Zero is the Key."
10 Observing the exponential decay of a decreasing function, the initial amount \(A\) changes to \(A/2\) after a specific period known as the half-life. Using
\(x=x_{0}e^{-kt},\)
what is the exact expression for the half-life \(t\)?
\(t=\frac{\ln\,2}{k}\)
\(t=-\frac{\ln\,2}{k}\)
\(t=lnβ‘\left(\frac{1}{2}\right)k\)
\(t=\frac{k}{\ln\,2}\)
At half-life, \(x=\frac{x_{0}}{2}.\) Substituting this into the exponential decay equation and solving gives \(t=\frac{\ln\,2}{k}.\)
The exponential decay model is \(x=x_{0}e^{-kt},\) where \(k>0\) is the decay constant. At half-life, \(x=\frac{x_{0}}{2}.\) Substitute into the equation: \(\frac{x_{0}}{2}=x_{0}e^{-kt}.\) Divide both sides by \(x_{0}\): \(\frac{1}{2}=e^{-kt}.\) Take the natural logarithm: \(lnβ‘\left(\frac{1}{2}\right)=-kt.\) Since \(lnβ‘\left(\frac{1}{2}\right)=-lnβ‘2,\) we get \(-lnβ‘2=-kt.\) Hence, \(t=\frac{\ln\,2}{k}.\) Therefore, Option A is correct.
- Option A)
- Correct.
- It is the standard half-life formula for exponential decay.
- Option B)
- Incorrect because the negative signs cancel during simplification, making the time positive.
- Option C)
- Incorrect because \(\ln\,\left(\frac{1}{2}\right)\)should be divided by \(k\), not multiplied by it.
- Option D)
- Incorrect because the numerator and denominator are interchanged.
Used
- Half-Life Formula Using Exponential Decay
- 1. Write the decay model:
- \(x=x_{0}e^{-kt}.\)
- 1. Substitute the half-life condition:
- \(x=\frac{x_{0}}{2}.\)
- 1. Cancel \(x_{0}\).
- 2. Apply the natural logarithm.
- 3. Solve for \(t\).
Mnemonic: "Half or Double β Think \(\ln\,2\).
11 In the differential equation for population growth dP/dt = kP, the constant k is derived from the birth rate model (Ξ±) and death rate model (Ξ²) as:
Population change depends on birth minus death rate Net growth rate is difference of Ξ± and Ξ² Standard population model form
The population model is given by dP/dt = (Ξ± - Ξ²)P, so the coefficient of P is k. Thus, k = Ξ± - Ξ², where Ξ± is birth rate and Ξ² is death rate. β’ A is incorrect since addition does not represent net change β’ B is unrelated to rate modeling β’ D has no biological interpretation in this model
- Option A β Would imply both birth and death increase population
- Option B β Product has no rate interpretation
- Option D β Ratio is not used in standard population models
Used: Elimination
Application: Standard form comparison with known model
Final Logic: Compare coefficient of P in given DE
"Population = Birth β Death"
12 If a population model is integrated to yield
\(P=Ae^{kt},\)
where
\(k=\alpha -\beta ,\)
under what condition will the population size remain perfectly static over time?
The population remains constant when the birth rate equals the death rate. In this case, \(k=\alpha -\beta =0,\) so \(P=Ae^{0}=A,\) which is constant for all time.
The population model is \(P=Ae^{kt},\) where \(k=\alpha -\beta ,\) with \(\alpha\)= birth rate, \(\beta\)= death rate. For the population to remain unchanged, \(k=0.\) Therefore, \(\alpha -\beta =0,\) which implies \(\alpha =\beta .\) Substituting \(k=0\) into the model, \(P=Ae^{0}=A.\) Since \(A\) is constant, \(P\) remains constant over time. Hence, Option C is correct.
- Option A) \(\alpha >\beta\)
- Incorrect because
- \(k=\alpha -\beta >0,\)
- leading to exponential growth, not a constant population.
- Option B) \(\alpha <\beta\)
- Incorrect because
- \(k=\alpha -\beta <0,\)
- leading to exponential decay.
- Option C) \(\alpha =\beta\)
- β Correct.
- Here,
- \(k=0,\)
- so
- \(P=A,\)
- which is constant.
- Option D) \(A=0\) only
- Incorrect because \(A=0\) merely represents a zero initial population.
- A static population occurs whenever
- \(\alpha =\beta ,\)
- regardless of the value of \(A\).
Use
- Analyse the Growth Constant
Application:
- 1. Identify
- \(k=\alpha -\beta .\)
- 1. For a constant population, set
- \(k=0.\)
- 1. Solve for the relationship between the birth and death rates.
Mnemonic: "Equal Rates, No Change."
13 A proportional growth model
\(P(t)=\lambda e^{kt}\)
is used for bacteria. If
\(P(3)=10,000\)
and
\(P(5)=40,000,\)
the division of the two equations
\(\frac{\lambda e^{5k}}{\lambda e^{3k}}\)
yields:
\(e^{2k}=4\)
\(e^{k}=4\)
\(e^{8k}=4\)
\(e^{15k}=4\)
Divide the equation at \(t=5\) by the equation at \(t=3\). The constant \(\lambda\) cancels, and using the law of exponents, \(\frac{e^{5k}}{e^{3k}}=e^{2k}.\) Hence, \(e^{2k}=4.\)
The population model is \(P(t)=\lambda e^{kt}.\) Given, \(P(3)=10,000,\) so \(\lambda e^{3k}=10,000.\) Also, \(P(5)=40,000,\) so \(\lambda e^{5k}=40,000.\) Divide the second equation by the first: \(\frac{\lambda e^{5k}}{\lambda e^{3k}}=\frac{40,000}{10,000}.\) The constant \(\lambda\) cancels: \(e^{5k-3k}=4.\) Therefore, \(e^{2k}=4.\) Hence, Option A is correct.
- Option A)
- \(e^{2k}=4\)
- Correct.
- Applying the exponent law,
- \(\frac{e^{5k}}{e^{3k}}=e^{2k}.\)
- Option B)
- \(e^{k}=4\)
- Incorrect because the exponent difference is
- \(5k-3k=2k,\)
- not \(k\).
- Option C)
- \(e^{8k}=4\)
- Incorrect because exponents are subtracted during division, not added.
- Option D)
- \(e^{15k}=4\)
- Incorrect because exponents are not multiplied when dividing exponential terms.
Used
- Division of Exponential Equations
Application:
- 1. Write the two population equations.
- 2. Divide one equation by the other.
- 3. Cancel the common constant \(\lambda\).
- 4. Apply the exponent law
- \(\frac{e^{a}}{e^{b}}=e^{a-b}.\)
- 1. Simplify the resulting equation.
Mnemonic: "Divide Exponentials β Exponents Subtract."
14 After finding
\(e^{k}=2,\)
in the bacterial growth problem, substituting this back to find the initial population \(\lambda\) through
\(\lambda (2)^{3}=10,000\)
evaluates to:
\(\frac{10,000}{6}\)
\(\frac{10,000}{8}\)
\(\frac{10,000}{4}\)
\(\frac{10,000}{2}\)
Since \(e^{k}=2,\) we have \(e^{3k}=(e^{k})^{3}=2^{3}=8.\) Therefore, \(\lambda =\frac{10,000}{8}=1250.\)
The population model is \(P(t)=\lambda e^{kt}.\) Given, \(P(3)=10,000,\) so \(\lambda e^{3k}=10,000.\) Since \(e^{k}=2,\) using the exponent law, \(e^{3k}=(e^{k})^{3}=2^{3}=8.\) Substitute into the equation: \(\lambda (8)=10,000.\) Hence, \(\lambda =\frac{10,000}{8}=1250.\) Thus, the required expression is \(\frac{10,000}{8}.\) Therefore, Option B is correct.
- Option A)
- \(\frac{10,000}{6}\)
- Incorrect because
- \(2^{3}=8,\)
- not 6.
- Option B)
- \(\frac{10,000}{8}\)
- Correct.
- Since
- \(e^{3k}=(e^{k})^{3}=2^{3}=8,\)
- this gives the correct initial population.
- Option C)
- \(\frac{10,000}{4}\)
- Incorrect because
- \(2^{3}\neq 4.\)
- Option D)
- \(\frac{10,000}{2}\)
- Incorrect because the exponent is 3, so the exponential factor is 8, not 2.
Used
- Substitution Using Exponent Laws
Application:
- 1. Use the known value
- \(e^{k}=2.\)
- 1. Apply the exponent law
- \(e^{3k}=(e^{k})^{3}.\)
- 1. Substitute into the population equation.
- 2. Solve for the unknown constant \(\lambda\).
Mnemonic: "Power Before Division."
15 During a short time interval \(\Delta t\), the amount of continuous compounding interest added to an account \(A\) with annual rate \(r\) is approximately given by which expression before taking the limit?
\(\Delta A=rβ
A(t)β
\Delta t\)
\(\Delta A=\frac{r}{A(t)}β
\Delta t\)
\(\Delta A=\frac{A(t)}{r\Delta t}\)
\(\Delta A=r^{A(t)}\Delta t\)
Rate proportional to amount Linear approximation over small interval Standard growth model
Continuous compounding assumes rate of change proportional to amount: dA/dt = rA So over small Ξt: ΞA β rA(t)Ξt
- B β inverse relation incorrect
- C β dimensionally invalid
- D β exponential of power incorrect
Used: Dimensional/Unit Analysis
Final Logic: Only rAΞt has correct growth units
"Rate Γ Amount Γ Time"
16 A bank pays 4% interest compounded continuously. What is the precise analytical solution for the time it takes the money to double, given that
\(e^{0.04t}=2?\)
\(t=\frac{\ln\,2}{0.4}\)
\(t=\frac{\ln\,2}{0.04}\)
\(t=\frac{2}{0.04}\)
\(t=\frac{\ln\,0.04}{2}\)
Take natural log Solve exponential equation Isolate time variable
\(e^{0.04t}=2?\)Taking ln: 0.04t = ln2 So t = ln2 / 0.04
- A β incorrect decimal shift
- C β ignores logarithm
- D β wrong log placement
Used: Substitution
Final Logic: Apply logarithm to exponential equation
"Log kills exponential"
17 Evaluating the cake cooling process from
\(t=0β
β(T={185}^{\circ })\)
to
\(t=30β
β(T={150}^{\circ }),\)
with
\(A={75}^{\circ },\)
the constant \(k\) is embedded in the equation
\(e^{-30k}=\frac{75}{110}.\)
What is the fraction
\(\frac{75}{110}\)
reduced to decimal form as given in the text?
Simplify fraction Convert to decimal Approximate value
75/110 = 15/22 β 0.6818
- A β too large
- C β incorrect halving
- D β incorrect approximation
Used: Elimination
Final Logic: Direct fraction simplification
"15/22 β 0.68"
18 For the heating process under Newton's Law of Cooling, the temperature of the body T is less than the surrounding medium A. Consequently, dT/dt is positive, indicating that the temperature T is an:
Heat flows into body Temperature rises Positive rate of change
Since T < A, heat flows from environment to body, so dT/dt > 0, meaning T increases over time until equilibrium.
- A β no oscillation in cooling law
- B β unrelated concept
- D β contradicts heating case
Used: Contextual/Tonal Matching
Final Logic: Physical interpretation of sign of derivative
"Cold β heats up"
19
whose general solution is
\(x(t)=x_{0}e^{-k_{1}t},\)
where \(x_{0}\)is the initial amount of Carbon-14 in the living organism. Carbon-14 has a half-life of 5700 years, which means that after 5700 years only half of the original Carbon-14 remains. Thus,
\(\frac{x_{0}}{2}=x_{0}e^{-5700k_{1}}.\)
Cancelling \(x_{0}\)and solving for the decay constant gives
\(k_{1}=\frac{\ln\,2}{5700}.\)
Substituting this value into the exponential decay equation, we obtain
\(x(t)=x_{0}e^{-\left(\frac{\ln\,2}{5700}\right)t}.\)
Using this model, the age of an archaeological sample can be estimated by comparing its remaining Carbon-14 with the original amount \(x_{0}\).
Question : Utilizing the half-life concept and substituting
\(k_{1}=\frac{\ln\,2}{5700}\)
into the general equation, what is the exact formula for
\(x(t)?\)
\(x(t)=x_{0}e^{\frac{(lnβ‘2)t}{5700}}\)
\(x(t)=x_{0}e^{-\left(\frac{\ln\,2}{5700}\right)t}\)
\(x(t)=x_{0}e^{-5700(lnβ‘2)t}\)
\(x(t)=x_{0}lnβ‘\left(\frac{2t}{5700}\right)\)
Substitute \(k_{1}=\frac{\ln\,2}{5700}\) into \(x(t)=x_{0}e^{-k_{1}t},\) to obtain \(x(t)=x_{0}e^{-\left(\frac{\ln\,2}{5700}\right)t}.\)
The exponential decay model is \(x(t)=x_{0}e^{-k_{1}t}.\) Using \(k_{1}=\frac{\ln\,2}{5700},\) we get \(x(t)=x_{0}e^{-\left(\frac{\ln\,2}{5700}\right)t}.\) Hence, \(x(t)=x_{0}e^{-\left(\frac{\ln\,2}{5700}\right)t}.\) Therefore, Option B is correct.
- Option A)
- Incorrect because the exponent is positive, representing exponential growth rather than decay.
- Option B)
- Correct.
- This is obtained by direct substitution into the decay model.
- Option C)
- Incorrect because \(5700\) should divide \(\ln\,2\), not multiply it.
- Option D)
- Incorrect because the solution of the differential equation is exponential, not logarithmic.
Use
- Substitution into the Exponential Decay Formula
- 1. Write the general solution.
- 2. Substitute the value of the decay constant.
- 3. Simplify the exponent.
Simply replace \(k\) in the formula.
20 (Passage-Based)
To find the differential equation governing the variation in the amount of Carbon-14, scientists use the model
\(\frac{dx}{dt}=-k_{1}x,\)
whose general solution is
\(x(t)=x_{0}e^{-k_{1}t},\)
where \(x_{0}\)is the initial amount of Carbon-14 in the living organism. Carbon-14 has a half-life of 5700 years, which means that after 5700 years only half of the original Carbon-14 remains. Thus,
\(\frac{x_{0}}{2}=x_{0}e^{-5700k_{1}}.\)
Cancelling \(x_{0}\)and solving for the decay constant gives
\(k_{1}=\frac{\ln\,2}{5700}.\)
Substituting this value into the exponential decay equation, we obtain
\(x(t)=x_{0}e^{-\left(\frac{\ln\,2}{5700}\right)t}.\)
Using this model, the age of an archaeological sample can be estimated by comparing its remaining Carbon-14 with the original amount \(x_{0}\).
Question: In the age estimation process for a sample containing
\(\frac{1}{4}\)
of the original Carbon-14, substituting
\(x(t)=\frac{x_{0}}{4}\)
into the decay equation
\(\frac{x_{0}}{4}=x_{0}e^{-\left(\frac{\ln\,2}{5700}\right)t}\)
yields which analytical step?
\(lnβ‘\left(\frac{1}{4}\right)=\left(,\ \frac{\ln\,2}{5700}\right)t\)
\(lnβ‘4=\left(\frac{\ln\,2}{5700}\right)t\)
\(-lnβ‘4=\left(\frac{\ln\,2}{5700}\right)t\)
\(\frac{1}{4}=\left(,\ \frac{\ln\,2}{5700}\right)t\)
After cancelling \(x_{0}\), \(\frac{1}{4}=e^{-\left(\frac{\ln\,2}{5700}\right)t}.\) Taking the natural logarithm of both sides gives \(lnβ‘\left(\frac{1}{4}\right)=\left(,\ \frac{\ln\,2}{5700}\right)t.\)
Given, \(\frac{x_{0}}{4}=x_{0}e^{-\left(\frac{\ln\,2}{5700}\right)t}.\) Divide both sides by \(x_{0}\): \(\frac{1}{4}=e^{-\left(\frac{\ln\,2}{5700}\right)t}.\) Taking the natural logarithm, \(lnβ‘\left(\frac{1}{4}\right)=lnβ‘\left(e^{-\left(\frac{\ln\,2}{5700}\right)t}\right).\) Therefore, \(lnβ‘\left(\frac{1}{4}\right)=\left(,\ \frac{\ln\,2}{5700}\right)t.\) Hence, Option A is correct.
- Option A)
- Correct.
- This is obtained directly after taking the natural logarithm.
- Option B)
- Incorrect because the negative sign from the exponential exponent is missing.
- Option C)
- Incorrect because although \(lnβ‘\left(\frac{1}{4}\right)=-lnβ‘4\), the immediate analytical step after taking logarithms is
- \(lnβ‘\left(\frac{1}{4}\right)=\left(,\ \frac{\ln\,2}{5700}\right)t.\)
- Option D)
- Incorrect because the natural logarithm must be applied before solving for \(t\).
Used
- Apply Natural Logarithms
- 1. Substitute the remaining fraction into the decay equation.
- 2. Cancel the initial amount.
- 3. Take the natural logarithm of both sides.
- 4. Simplify and solve for time.
Mnemonic: "Substitute β Log β Solve."
