Solving Exponential & Log Equations - Business Calculus

  1. The solution to the equation 2x+2=3x−12^{x+2} = 3^{x-1} can be written in the form x=ln⁡(A)ln⁡(B)x = \frac{\ln(A)}{\ln(B)}. What are the values of AA and BB?
    Answer: A=12A=12, B=1.5B=1.5 To solve 2x+2=3x−12^{x+2} = 3^{x-1}, take the natural logarithm of both sides: ln⁡(2x+2)=ln⁡(3x−1)\ln(2^{x+2}) = \ln(3^{x-1}). Using the power rule for logarithms, this becomes (x+2)ln⁡(2)=(x−1)ln⁡(3)(x+2)\ln(2) = (x-1)\ln(3). Distribute ln⁡(2)\ln(2) and ln⁡(3)\ln(3): xln⁡(2)+2ln⁡(2)=xln⁡(3)−ln⁡(3)x\ln(2) + 2\ln(2) = x\ln(3) - \ln(3). Rearrange the terms to group xx on one side: 2ln⁡(2)+ln⁡(3)=xln⁡(3)−xln⁡(2)2\ln(2) + \ln(3) = x\ln(3) - x\ln(2). Factor out xx: 2ln⁡(2)+ln⁡(3)=x(ln⁡(3)−ln⁡(2))2\ln(2) + \ln(3) = x(\ln(3) - \ln(2)). Use log rules to simplify the expressions in parentheses: ln⁡(22)+ln⁡(3)=x(ln⁡(3/2))\ln(2^2) + \ln(3) = x(\ln(3/2)), which is ln⁡(4)+ln⁡(3)=xln⁡(1.5)\ln(4) + \ln(3) = x\ln(1.5). Further simplification gives ln⁡(4⋅3)=xln⁡(1.5)\ln(4 \cdot 3) = x\ln(1.5), so ln⁡(12)=xln⁡(1.5)\ln(12) = x\ln(1.5). Solving for xx yields x=ln⁡(12)ln⁡(1.5)x = \frac{\ln(12)}{\ln(1.5)}. Comparing this to the form x=ln⁡(A)ln⁡(B)x = \frac{\ln(A)}{\ln(B)}, we have A=12A=12 and B=1.5B=1.5.
  2. The decay of a radioactive substance used in medical imaging is modeled by A(t)=A0e−ktA(t) = A_0 e^{-kt}. A hospital's policy requires disposing of the substance when it has decayed to 15% of its original amount. If the substance's half-life is 8 days, what is the disposal time, rounded to the nearest day?
    Answer: 22 days First, use the half-life information to find the decay constant kk. Half-life means that at t=8t=8, A(8)=0.5A0A(8) = 0.5 A_0. So, 0.5A0=A0e−k(8)0.5 A_0 = A_0 e^{-k(8)}. Dividing by A0A_0 gives 0.5=e−8k0.5 = e^{-8k}. Taking the natural logarithm, ln⁡(0.5)=−8k\ln(0.5) = -8k. So, k=ln⁡(0.5)−8=−ln⁡(2)−8=ln⁡(2)8k = \frac{\ln(0.5)}{-8} = \frac{-\ln(2)}{-8} = \frac{\ln(2)}{8}. Next, find the time tt when the substance has decayed to 15% of its original amount, i.e., when A(t)=0.15A0A(t) = 0.15 A_0. The equation is 0.15A0=A0e−kt0.15 A_0 = A_0 e^{-kt}. Dividing by A0A_0 gives 0.15=e−kt0.15 = e^{-kt}. Taking the natural logarithm, ln⁡(0.15)=−kt\ln(0.15) = -kt. Solving for tt gives t=ln⁡(0.15)−kt = \frac{\ln(0.15)}{-k}. Substitute the expression for kk: t=ln⁡(0.15)−(ln⁡(2)/8)=−8ln⁡(0.15)ln⁡(2)t = \frac{\ln(0.15)}{-(\ln(2)/8)} = \frac{-8 \ln(0.15)}{\ln(2)}. Using a calculator, t≈−8(−1.897)0.693≈21.9t \approx \frac{-8(-1.897)}{0.693} \approx 21.9 days. Rounded to the nearest day, the disposal time is 22 days.
  3. A company's revenue growth follows the model R(t)=50,000⋅1.08tR(t) = 50,000 \cdot 1.08^t where tt is years since 2020. If the company wants to determine when their revenue will first exceed $100,000, which equation should they solve, and what is the approximate solution?
    Answer: Solve 50,000⋅1.08t=100,00050,000 \cdot 1.08^t = 100,000; solution is approximately t=9.01t = 9.01 years To find when revenue first exceeds $100,000, we solve for equality: 50,000⋅1.08t=100,00050,000 \cdot 1.08^t = 100,000. Dividing both sides by 50,000 gives 1.08t=21.08^t = 2. Taking the natural logarithm: tln⁡(1.08)=ln⁡(2)t \ln(1.08) = \ln(2), so t=ln⁡(2)ln⁡(1.08)≈0.6930.077≈9.01t = \frac{\ln(2)}{\ln(1.08)} \approx \frac{0.693}{0.077} \approx 9.01 years. Choice A uses the wrong value. Choice B incorrectly suggests solving an inequality rather than finding the boundary point. Choice D uses an incorrect calculation method.
  4. A company's daily profit P(x)P(x) from selling xx units is given by P(x)=1000(1−e−0.02x)P(x) = 1000(1 - e^{-0.02x}). The company's operations are considered sustainable only if the profit exceeds a fixed daily cost of $500. For which range of units xx are the operations sustainable?
    Answer: x>50ln⁡(2)x > 50 \ln(2) To find the range of xx for sustainable operations, we must solve the inequality P(x)>500P(x) > 500: 1000(1−e−0.02x)>5001000(1 - e^{-0.02x}) > 500. Divide by 1000: 1−e−0.02x>0.51 - e^{-0.02x} > 0.5. Subtract 1 from both sides: −e−0.02x>−0.5-e^{-0.02x} > -0.5. Multiply by -1 and reverse the inequality sign: e−0.02x<0.5e^{-0.02x} < 0.5. Take the natural logarithm of both sides: ln⁡(e−0.02x)<ln⁡(0.5)\ln(e^{-0.02x}) < \ln(0.5), which simplifies to −0.02x<ln⁡(0.5)-0.02x < \ln(0.5). Using the log property ln⁡(0.5)=ln⁡(1/2)=−ln⁡(2)\ln(0.5) = \ln(1/2) = -\ln(2), the inequality is −0.02x<−ln⁡(2)-0.02x < -\ln(2). To solve for xx, divide by -0.02 and reverse the inequality sign again: x>−ln⁡(2)−0.02=ln⁡(2)0.02x > \frac{-\ln(2)}{-0.02} = \frac{\ln(2)}{0.02}. Since 1/0.02=501/0.02 = 50, the solution is x>50ln⁡(2)x > 50 \ln(2).
  5. If log⁡2(x)+log⁡4(x)=6\log_2(x) + \log_4(x) = 6, what is the value of xx?
    Answer: x=16x = 16, after converting to a common base and solving the resulting equation Convert log⁡4(x)\log_4(x) to base 2 using the change of base formula: log⁡4(x)=log⁡2(x)log⁡2(4)=log⁡2(x)2\log_4(x) = \frac{\log_2(x)}{\log_2(4)} = \frac{\log_2(x)}{2}. The equation becomes: log⁡2(x)+log⁡2(x)2=6\log_2(x) + \frac{\log_2(x)}{2} = 6. Factoring: log⁡2(x)(1+12)=6\log_2(x)\left(1 + \frac{1}{2}\right) = 6, so log⁡2(x)⋅32=6\log_2(x) \cdot \frac{3}{2} = 6. Therefore: log⁡2(x)=6⋅23=4\log_2(x) = 6 \cdot \frac{2}{3} = 4. Converting to exponential form: x=24=16x = 2^4 = 16. Choice B would result from solving log⁡2(x)=5\log_2(x) = 5. Choice C would result from solving log⁡2(x)=6\log_2(x) = 6. Choice D would result from solving log⁡2(x)=7\log_2(x) = 7.
  6. A pharmaceutical company models drug concentration in the bloodstream as C(t)=15e−0.23tC(t) = 15e^{-0.23t} mg/L, where tt is hours after injection. When will the concentration drop to exactly 25% of its initial value?
    Answer: After approximately t=6.02t = 6.02 hours, using the equation 15e−0.23t=3.7515e^{-0.23t} = 3.75 Initial concentration is C(0)=15e0=15C(0) = 15e^0 = 15 mg/L. Twenty-five percent of this is 0.25×15=3.750.25 \times 15 = 3.75 mg/L. We solve 15e−0.23t=3.7515e^{-0.23t} = 3.75. Dividing by 15: e−0.23t=0.25e^{-0.23t} = 0.25. Taking natural logarithm: −0.23t=ln⁡(0.25)=ln⁡(1/4)=−ln⁡(4)-0.23t = \ln(0.25) = \ln(1/4) = -\ln(4). Thus t=ln⁡(4)0.23≈1.3860.23≈6.02t = \frac{\ln(4)}{0.23} \approx \frac{1.386}{0.23} \approx 6.02 hours. Choice B incorrectly calculates 75% instead of 25%. Choice C sets up the wrong equation by omitting the coefficient 15. Choice D uses 0.25 as the absolute concentration rather than 25% of the initial value.
  7. A company measures its market influence on a logarithmic scale called the Market Influence Index (MII), given by M=log⁡(S/S0)M = \log(S/S_0), where SS is the company's annual sales and S0S_0 is a baseline sales figure. If Company X has an MII of 4.5 and Company Y has an MII of 6.0, how many times larger are Company Y's sales than Company X's sales?
    Answer: 31.6 times larger For Company X, 4.5=log⁡(SX/S0)4.5 = \log(S_X/S_0), which means SX=S0⋅104.5S_X = S_0 \cdot 10^{4.5}. For Company Y, 6.0=log⁡(SY/S0)6.0 = \log(S_Y/S_0), which means SY=S0⋅106.0S_Y = S_0 \cdot 10^{6.0}. To find how many times larger Company Y's sales are, we compute the ratio SY/SXS_Y/S_X: SYSX=S0⋅106.0S0⋅104.5=106.0−4.5=101.5\frac{S_Y}{S_X} = \frac{S_0 \cdot 10^{6.0}}{S_0 \cdot 10^{4.5}} = 10^{6.0 - 4.5} = 10^{1.5}. Calculating the value, 101.5=101⋅100.5=1010≈10⋅3.162≈31.610^{1.5} = 10^1 \cdot 10^{0.5} = 10\sqrt{10} \approx 10 \cdot 3.162 \approx 31.6.
  8. An initial investment in Fund A grows according to the model A(t)=10000e0.05tA(t) = 10000 e^{0.05t}, while an initial investment in Fund B grows according to B(t)=15000e0.03tB(t) = 15000 e^{0.03t}, where tt is the time in years. At approximately what time tt will the value of Fund A equal the value of Fund B?
    Answer: t=ln⁡(1.5)0.02t = \frac{\ln(1.5)}{0.02} To find when the values are equal, set A(t)=B(t)A(t) = B(t): 10000e0.05t=15000e0.03t10000 e^{0.05t} = 15000 e^{0.03t}. Divide both sides by 1000010000 and by e0.03te^{0.03t} to isolate the exponential terms: e0.05te0.03t=1500010000\frac{e^{0.05t}}{e^{0.03t}} = \frac{15000}{10000}. Using the exponent rule ea/eb=ea−be^a/e^b = e^{a-b}, we get e0.05t−0.03t=1.5e^{0.05t - 0.03t} = 1.5, which simplifies to e0.02t=1.5e^{0.02t} = 1.5. To solve for tt, take the natural logarithm of both sides: ln⁡(e0.02t)=ln⁡(1.5)\ln(e^{0.02t}) = \ln(1.5), which gives 0.02t=ln⁡(1.5)0.02t = \ln(1.5). Finally, divide by 0.020.02: t=ln⁡(1.5)0.02t = \frac{\ln(1.5)}{0.02}.
  9. If xx and yy are positive numbers such that ln⁡(x)−ln⁡(y)=2\ln(x) - \ln(y) = 2 and log⁡5(x)+log⁡5(y)=4\log_5(x) + \log_5(y) = 4, what is the value of xx?
    Answer: 25e25e We have a system of two equations with two variables. From the first equation, using the quotient rule for logarithms: ln⁡(x/y)=2\ln(x/y) = 2. Converting to exponential form gives x/y=e2x/y = e^2, so x=ye2x = ye^2. From the second equation, using the product rule for logarithms: log⁡5(xy)=4\log_5(xy) = 4. Converting to exponential form gives xy=54=625xy = 5^4 = 625. Now substitute the expression for xx from the first equation into the second: (ye2)y=625(ye^2)y = 625. This simplifies to y2e2=625y^2e^2 = 625. Taking the square root of both sides gives ye=625=25ye = \sqrt{625} = 25 (since y>0y>0). From this, we find y=25/ey = 25/e. Finally, substitute this value of yy back into the expression for xx: x=(25/e)e2=25ex = (25/e)e^2 = 25e.
  10. The number of active users for two competing social media platforms, A and B, are modeled by UA(t)=106⋅log⁡3(t)U_A(t) = 10^6 \cdot \log_3(t) and UB(t)=106⋅log⁡9(4t)U_B(t) = 10^6 \cdot \log_9(4t), respectively, where tt is the number of months since launch (t≥1t \ge 1). At what value of tt will the number of active users be equal for both platforms?
    Answer: t=4t=4 Set the number of users equal: 106⋅log⁡3(t)=106⋅log⁡9(4t)10^6 \cdot \log_3(t) = 10^6 \cdot \log_9(4t). The 10610^6 factor cancels, leaving log⁡3(t)=log⁡9(4t)\log_3(t) = \log_9(4t). To solve this, convert both logarithms to the same base using the change of base formula, log⁡b(x)=log⁡a(x)log⁡a(b)\log_b(x) = \frac{\log_a(x)}{\log_a(b)}. Let's use base 3. The equation becomes log⁡3(t)=log⁡3(4t)log⁡3(9)\log_3(t) = \frac{\log_3(4t)}{\log_3(9)}. Since log⁡3(9)=2\log_3(9) = 2, this simplifies to log⁡3(t)=log⁡3(4t)2\log_3(t) = \frac{\log_3(4t)}{2}. Multiply by 2: 2log⁡3(t)=log⁡3(4t)2\log_3(t) = \log_3(4t). Use the power rule for logarithms: log⁡3(t2)=log⁡3(4t)\log_3(t^2) = \log_3(4t). Now that the bases and coefficients are the same, we can equate the arguments: t2=4tt^2 = 4t. This gives t2−4t=0t^2 - 4t = 0, or t(t−4)=0t(t-4) = 0. The solutions are t=0t=0 and t=4t=4. Since the model is valid for t≥1t \ge 1, the only valid solution is t=4t=4.
  11. A product must be heated to a temperature of 180°C. It starts at 20°C in an oven set to 200°C. The temperature TT after tt minutes follows Newton's Law of Heating: T(t)=Ta+(T0−Ta)e−ktT(t) = T_a + (T_0 - T_a)e^{-kt}, where TaT_a is the ambient temperature and T0T_0 is the initial temperature. If the product reaches 100°C after 10 minutes, approximately how long will it take in total to reach 180°C?
    Answer: 37.4 minutes First, set up the model with the given values: Ta=200T_a = 200 and T0=20T_0 = 20. So, T(t)=200+(20−200)e−kt=200−180e−ktT(t) = 200 + (20 - 200)e^{-kt} = 200 - 180e^{-kt}. Use the information T(10)=100T(10) = 100 to find kk: 100=200−180e−10k  ⟹  −100=−180e−10k  ⟹  e−10k=100/180=5/9100 = 200 - 180e^{-10k} \implies -100 = -180e^{-10k} \implies e^{-10k} = 100/180 = 5/9. So, −10k=ln⁡(5/9)-10k = \ln(5/9), which gives k=−ln⁡(5/9)10=ln⁡(9/5)10=ln⁡(1.8)10k = -\frac{\ln(5/9)}{10} = \frac{\ln(9/5)}{10} = \frac{\ln(1.8)}{10}. Now, find the time tt when the temperature reaches 180°C: 180=200−180e−kt  ⟹  −20=−180e−kt  ⟹  e−kt=20/180=1/9180 = 200 - 180e^{-kt} \implies -20 = -180e^{-kt} \implies e^{-kt} = 20/180 = 1/9. Take the natural logarithm: −kt=ln⁡(1/9)=−ln⁡(9)-kt = \ln(1/9) = -\ln(9). So, t=ln⁡(9)kt = \frac{\ln(9)}{k}. Substitute the value of kk: t=ln⁡(9)ln⁡(1.8)10=10ln⁡(9)ln⁡(1.8)≈10(2.1972)0.5878≈37.38t = \frac{\ln(9)}{\frac{\ln(1.8)}{10}} = \frac{10 \ln(9)}{\ln(1.8)} \approx \frac{10(2.1972)}{0.5878} \approx 37.38 minutes.
  12. The number of units produced, xx (in thousands), is related to the advertising spending, aa (in thousands of dollars), by the equation log⁡2(x+3)+log⁡2(x−1)=5\log_2(x+3) + \log_2(x-1) = 5. If each unit sells for $20, what is the total revenue from the units produced?
    Answer: $100,000 First, solve the logarithmic equation for xx. Using the product rule for logarithms, log⁡2((x+3)(x−1))=5\log_2((x+3)(x-1)) = 5. Convert to exponential form: (x+3)(x−1)=25=32(x+3)(x-1) = 2^5 = 32. Expand the left side: x2+2x−3=32x^2 + 2x - 3 = 32. Rearrange into a standard quadratic form: x2+2x−35=0x^2 + 2x - 35 = 0. Factor the quadratic: (x+7)(x−5)=0(x+7)(x-5) = 0. The solutions are x=−7x=-7 and x=5x=5. Since xx represents the number of units, it must be positive. Furthermore, the arguments of the logarithms, (x+3)(x+3) and (x−1)(x-1), must be positive, which requires x>1x > 1. Thus, x=5x=5 is the only valid solution. Since xx is in thousands of units, this corresponds to 5,000 units. The total revenue is 5,000 units×$20/unit=$100,0005,000 \text{ units} \times \$20/\text{unit} = \$100,000.
  13. The relationship between advertising spending AA and sales SS is modeled in two different ways by two marketing agencies. Agency 1 uses S1(A)=100+5log⁡2(A)S_1(A) = 100 + 5 \log_2(A). Agency 2 uses S2(A)=150+klog⁡4(A)S_2(A) = 150 + k \log_4(A). If both models predict the same sales when spending A=16A=16, what is the value of the constant kk?
    Answer: −15-15 First, calculate the sales predicted by Agency 1 when A=16A=16: S1(16)=100+5log⁡2(16)S_1(16) = 100 + 5 \log_2(16). Since 24=162^4 = 16, log⁡2(16)=4\log_2(16) = 4. So, S1(16)=100+5(4)=100+20=120S_1(16) = 100 + 5(4) = 100 + 20 = 120. Next, set Agency 2's prediction equal to this value: S2(16)=120S_2(16) = 120. The equation is 120=150+klog⁡4(16)120 = 150 + k \log_4(16). Since 42=164^2=16, log⁡4(16)=2\log_4(16) = 2. The equation becomes 120=150+k(2)120 = 150 + k(2). Now, solve for kk: 120−150=2k120 - 150 = 2k, which gives −30=2k-30 = 2k, so k=−15k = -15.
  14. The population P(t)P(t) of a certain bacteria culture (in thousands) at time tt (in hours) follows a model where tt must satisfy the equation e2t−6et+5=0e^{2t} - 6e^t + 5 = 0. The company harvests the bacteria at the latest valid time predicted by the model. What is the population, given by P(t)=100etP(t) = 100e^t, at that time?
    Answer: 500,000 The equation e2t−6et+5=0e^{2t} - 6e^t + 5 = 0 is a quadratic in form. Let y=ety = e^t. The equation becomes y2−6y+5=0y^2 - 6y + 5 = 0. Factoring the quadratic gives (y−1)(y−5)=0(y-1)(y-5) = 0, so the solutions for yy are y=1y=1 and y=5y=5. Substitute back ete^t for yy: et=1e^t = 1 or et=5e^t = 5. Solving for tt gives t=ln⁡(1)=0t = \ln(1) = 0 or t=ln⁡(5)t = \ln(5). The latest valid time is t=ln⁡(5)t = \ln(5). The question asks for the population P(t)=100etP(t) = 100e^t at this time. At t=ln⁡(5)t = \ln(5), we have et=5e^t = 5. Therefore, P(ln⁡(5))=100(5)=500P(\ln(5)) = 100(5) = 500. Since P(t)P(t) is in thousands, the population is 500,000.
  15. A bacteria population grows according to P(t)=1200⋅3t/4P(t) = 1200 \cdot 3^{t/4} where tt is in hours. After how many hours will the population reach exactly 32,400?
    Answer: t=12t = 12 hours, since 312/4=33=273^{12/4} = 3^3 = 27 and 1200×27=32,4001200 \times 27 = 32,400 We need to solve 1200⋅3t/4=32,4001200 \cdot 3^{t/4} = 32,400. Dividing both sides by 1200: 3t/4=32,4001200=273^{t/4} = \frac{32,400}{1200} = 27. Since 27=3327 = 3^3, we have 3t/4=333^{t/4} = 3^3, which means t4=3\frac{t}{4} = 3, so t=12t = 12 hours. Choice A correctly identifies this solution. Choice B calculates 343^4 but this gives the wrong population value. Choice C uses an incorrect logarithmic approach. Choice D uses 323^2 which gives a population of only 10,800, not 32,400.

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