Exponential and Logarithmic Functions: Growth, Decay, Newton's Law, and Logistic Models

General Law of Uninhibited Growth or Decay

  • The Exponential Law: Many natural phenomena follow the law that an amount AA varies with time tt according to the function:     * A(t)=A0ektA(t) = A_0 e^{kt}

  • Variables and Constants:     * A0A_0: The original amount present at time t=0t = 0.     * k0k \neq 0: A constant representing the growth or decay rate.     * ee: The base of the natural logarithm (approximately 2.718).

  • Uninhibited Growth:     * Occurs when k>0k > 0.     * The amount AA increases over time.

  • Uninhibited Decay:     * Occurs when k<0k < 0.     * The amount AA decreases over time.

Uninhibited Growth of Cells

  • Cell Culture Model: In the early stages of growth, the number NN of cells in a culture after time tt is modeled by:     * N(t)=N0ektN(t) = N_0 e^{kt}

  • Parameters:     * N0N_0: The initial number of cells.     * kk: A positive constant representing the growth rate of the cells.

Example 1: Bacterial Growth Analysis

  • Model Provided: A colony of bacteria is modeled by the function N(t)=90e0.06tN(t) = 90 e^{0.06t}, where NN is measured in grams and tt is measured in days.

  • Determining Initial Amount:     * The initial amount N0N_0 is obtained when t=0t = 0.     * N(0)=90e0.06×0=90e0=90×1=90.0N(0) = 90 e^{0.06 \times 0} = 90 e^0 = 90 \times 1 = 90.0     * The initial amount is 90.0grams90.0\,grams.

  • Identifying Growth Rate:     * Comparing the model to N(t)=N0ektN(t) = N_0 e^{kt}, the value of kk is 0.060.06.     * This indicates a growth rate of 6.0%6.0\%.

  • Calculating Population at Specific Time (7 Days):     * N(7)=90e0.06×7=90e0.42136.97N(7) = 90 e^{0.06 \times 7} = 90 e^{0.42} \approx 136.97     * The population after 7days7\,days is approximately 136.97grams136.97\,grams.

  • Time to Reach a Specific Weight (250 Grams):     * Solve for tt: 250=90e0.06t250 = 90 e^{0.06t}     * Divide by 9090: 25090=e0.06t\frac{250}{90} = e^{0.06t}     * Logarithmic form: ln(25090)=0.06t\ln\left(\frac{250}{90}\right) = 0.06t     * t=ln(25090)0.0617.0t = \frac{\ln\left(\frac{250}{90}\right)}{0.06} \approx 17.0     * The population reaches 250grams250\,grams in approximately 17.0days17.0\,days.

  • Determining Doubling Time:     * The population doubles when N=2N0N = 2 N_0, which is 180grams180\,grams.     * Solve for tt: 180=90e0.06t180 = 90 e^{0.06t}     * Divide by 9090: 2=e0.06t2 = e^{0.06t}     * Logarithmic form: ln(2)=0.06t\ln(2) = 0.06t     * t=ln(2)0.0611.55t = \frac{\ln(2)}{0.06} \approx 11.55     * The population doubles approximately every 11.55days11.55\,days.

Example 2: Bacterial Growth and Tripling Time

  • Function Formulation: If NN is the number of cells and tt is time in hours, the function follows the uninhibited growth law N(t)=N0ektN(t) = N_0 e^{kt}.

  • Finding the Growth Rate from Doubling Time:     * The number of bacteria doubles in 5hours5\,hours.     * Set N(5)=2N0N(5) = 2 N_0: 2N0=N0ek×52 N_0 = N_0 e^{k \times 5}     * 2=e5k2 = e^{5k}     * 5k=ln(2)5k = \ln(2)     * k=ln(2)50.1386k = \frac{\ln(2)}{5} \approx 0.1386

  • The Growth Function: N(t)=N0e0.1386tN(t) = N_0 e^{0.1386t}.

  • Calculating Tripling Time:     * The size of the colony triples when N(t)=3N0N(t) = 3 N_0.     * 3N0=N0e0.1386t3 N_0 = N_0 e^{0.1386t}     * 3=e0.1386t3 = e^{0.1386t}     * 0.1386t=ln(3)0.1386t = \ln(3)     * t=ln(3)0.13867.925t = \frac{\ln(3)}{0.1386} \approx 7.925     * It takes approximately 7.925hours7.925\,hours, which is 7hours7\,hours and 56minutes56\,minutes, to triple.

  • Consecutive Doubling: If the population doubles in 5hours5\,hours, it will double a second time (becoming four times the initial size) in another 5hours5\,hours, for a total of 10hours10\,hours.

Uninhibited Radioactive Decay

  • Decay Formula: The amount AA of radioactive material present at time tt is:     * A(t)=A0ektA(t) = A_0 e^{kt}

  • Variable Definitions:     * A0A_0: Original amount of radioactive material.     * kk: A negative number (k<0k < 0) representing the rate of decay.

Example 3: Estimating Age of Ancient Tools (Carbon-14 Dating)

  • Problem Scenario: Burned wood and stone tools at an archeological dig contain 2.33%2.33\% of the original amount of Carbon-14. The half-life of Carbon-14 is 5730years5730\,years.

  • Step 1: Finding the Decay Constant kk:     * At t=5730t = 5730, half of the original amount remains (A=0.5A0A = 0.5 A_0).     * 0.5A0=A0ek×57300.5 A_0 = A_0 e^{k \times 5730}     * 0.5=e5730k0.5 = e^{5730k}     * 5730k=ln(0.5)5730k = \ln(0.5)     * k=ln(0.5)57300.000121k = \frac{\ln(0.5)}{5730} \approx -0.000121

  • Step 2: Determining the Age of the Artifact:     * The amount currently present is 2.33%2.33\% of original, so A(t)=0.0233A0A(t) = 0.0233 A_0.     * 0.0233A0=A0e0.000121t0.0233 A_0 = A_0 e^{-0.000121t}     * 0.0233=e0.000121t0.0233 = e^{-0.000121t}     * 0.000121t=ln(0.0233)-0.000121t = \ln(0.0233)     * t=ln(0.0233)0.00012131077t = \frac{\ln(0.0233)}{-0.000121} \approx 31077     * The tree was cut and burned approximately 31077years31077\,years ago.

Newton’s Law of Cooling

  • Theoretical Model: The temperature uu of a heated object at time tt is given by:     * u(t)=T+(u0T)ektu(t) = T + (u_0 - T) e^{kt}

  • Variables:     * TT: The constant temperature of the surrounding medium.     * u0u_0: The initial temperature of the heated object.     * kk: A negative constant (k<0k < 0).

Example 4: Cooling of a Heated Object

  • Initial Conditions: Object heated to 90C90^\circ C, room air temperature T=20CT = 20^\circ C. After t=5minutest = 5\,minutes, the object temperature u=75Cu = 75^\circ C.

  • Step 1: Finding the Constant kk:     * u(t)=20+(9020)ektu(t) = 20 + (90 - 20) e^{kt}     * u(t)=20+70ektu(t) = 20 + 70 e^{kt}     * Using u(5)=75u(5) = 75:     * 75=20+70e5k75 = 20 + 70 e^{5k}     * 55=70e5k55 = 70 e^{5k}     * e5k=5570e^{5k} = \frac{55}{70}     * 5k=ln(5570)5k = \ln\left(\frac{55}{70}\right)     * k=ln(5570)50.0482k = \frac{\ln\left(\frac{55}{70}\right)}{5} \approx -0.0482

  • Step 2: Calculating Time to reach 50C50^\circ C:     * 50=20+70e0.0482t50 = 20 + 70 e^{-0.0482t}     * 30=70e0.0482t30 = 70 e^{-0.0482t}     * e0.0482t=3070e^{-0.0482t} = \frac{30}{70}     * 0.0482t=ln(3070)-0.0482t = \ln\left(\frac{30}{70}\right)     * t=ln(3070)0.048217.6t = \frac{\ln\left(\frac{30}{70}\right)}{-0.0482} \approx 17.6     * The temperature reaches 50C50^\circ C after approximately 17.6minutes17.6\,minutes (17minutes17\,minutes and 36seconds36\,seconds).

  • Step 3: Calculating Elapsed Time to reach 35C35^\circ C:     * 35=20+70e0.0482t35 = 20 + 70 e^{-0.0482t}     * 15=70e0.0482t15 = 70 e^{-0.0482t}     * e0.0482t=1570e^{-0.0482t} = \frac{15}{70}     * 0.0482t=ln(1570)-0.0482t = \ln\left(\frac{15}{70}\right)     * t=ln(1570)0.048232t = \frac{\ln\left(\frac{15}{70}\right)}{-0.0482} \approx 32     * The temperature reaches 35C35^\circ C after approximately 32minutes32\,minutes.

  • Observation of Long-Term Temperature Trends:     * As tt increases, the exponent 0.0482t-0.0482t grows larger in the negative direction.     * The expression e0.0482te^{-0.0482t} approaches zero.     * Consequently, the temperature uu approaches 20C20^\circ C, which is the room's air temperature.

Logistic Growth and Decay Models

  • General Model Equation:     * P(t)=c1+aebtP(t) = \frac{c}{1 + a e^{-bt}}

  • Constants:     * a,ba, b, and cc are constants where a>0a > 0 and c>0c > 0.

  • Growth vs. Decay:     * Logistic Growth: b>0b > 0.     * Logistic Decay: b<0b < 0.

  • Properties of Logistic Model:     * Domain: The set of all real numbers.     * Range: The interval (0,c)(0, c), where cc represents the carrying capacity.     * Intercepts: No x-intercepts; y-intercept is at P(0)=c1+aP(0) = \frac{c}{1+a}.     * Asymptotes: Two horizontal asymptotes exist at y=0y = 0 and y=cy = c.     * Monotonicity: Function is increasing if b>0b > 0 and decreasing if b<0b < 0.     * Inflection Point: Occurs where the population reaches half of the carrying capacity (P(t)=c2P(t) = \frac{c}{2}).     * Concavity: In growth functions, the graph changes from concave up to concave down at the inflection point. In decay functions, it changes from concave down to concave up.     * Continuity: The graph is smooth and continuous without gaps or corners.

Example 5: Logistic Growth of Yeast Population

  • Given Model: P(t)=7501+74e0.530tP(t) = \frac{750}{1 + 74 e^{-0.530t}}, representing yeast population in grams after thourst\,hours.

  • Carrying Capacity and Growth Rate:     * Carrying capacity c=750gc = 750\,g.     * Growth rate b=0.530b = 0.530 per hour.

  • Initial Population:     * P(0)=7501+74e0.530×0=7501+74=75075=10P(0) = \frac{750}{1 + 74 e^{-0.530 \times 0}} = \frac{750}{1 + 74} = \frac{750}{75} = 10     * The initial population was 10g10\,g of yeast.

  • Population after 5 Hours:     * P(5)=7501+74e0.530×5=7501+74e2.65118P(5) = \frac{750}{1 + 74 e^{-0.530 \times 5}} = \frac{750}{1 + 74 e^{-2.65}} \approx 118     * After 5hours5\,hours, there is approximately 118g118\,g of yeast.

  • Time to reach 250 Grams:     * 250=7501+74e0.530t250 = \frac{750}{1 + 74 e^{-0.530t}}     * 1+74e0.530t=750250=31 + 74 e^{-0.530t} = \frac{750}{250} = 3     * 74e0.530t=274 e^{-0.530t} = 2     * e0.530t=274e^{-0.530t} = \frac{2}{74}     * 0.530t=ln(274)-0.530t = \ln\left(\frac{2}{74}\right)     * t=ln(274)0.5306.86t = \frac{\ln\left(\frac{2}{74}\right)}{-0.530} \approx 6.86     * It takes approximately 6.86hours6.86\,hours (6hours6\,hours and 52minutes52\,minutes) to reach 250g250\,g.

  • Time to reach One-Half Carrying Capacity:     * One-half capacity is 375g375\,g.     * Using a graphing utility to intersect Y1=P(t)Y_1 = P(t) and Y2=375Y_2 = 375:     * t8.18hourst \approx 8.18\,hours (8hours8\,hours and 11minutes11\,minutes).

Example 6: EFISCEN Wood Product Model

  • Background: The European Forest Institute (EFI) classifies wood products by life-span:     * Short: 1year1\,year.     * Medium short: 4years4\,years.     * Medium long: 1years1\,years.     * Long: 50years50\,years (used in building industry).

  • Model for Long Life-Span Products: The percentage remaining wood products after tyearst\,years is modeled by:     * P(t)=100.39521+0.0316e0.0581tP(t) = \frac{100.3952}{1 + 0.0316 e^{0.0581t}}

  • Decay Rate: The decay rate identified in the denominator exponent is 0.05810.0581.

  • Remaining Wood Products after 15 Years:     * P(15)=100.39521+0.0316e0.0581×1593.34P(15) = \frac{100.3952}{1 + 0.0316 e^{0.0581 \times 15}} \approx 93.34     * 93.34%93.34\% of long-life-span wood products remain after 15years15\,years.

  • Time to Reach 40% Remaining:     * Solve for tt: 40=100.39521+0.0316e0.0581t40 = \frac{100.3952}{1 + 0.0316 e^{0.0581t}}     * 1+0.0316e0.0581t=100.395240=2.509881 + 0.0316 e^{0.0581t} = \frac{100.3952}{40} = 2.50988     * 0.0316e0.0581t=1.509880.0316 e^{0.0581t} = 1.50988     * e0.0581t=1.509880.031647.781e^{0.0581t} = \frac{1.50988}{0.0316} \approx 47.781     * 0.0581t=ln(47.781)0.0581t = \ln(47.781)     * t=ln(47.781)0.058166.6t = \frac{\ln(47.781)}{0.0581} \approx 66.6     * It will take approximately 66.6years66.6\,years for the percentage to reach 40%40\%.

  • Model Validity (Numerator): The numerator 100.3952100.3952 is considered reasonable because the theoretical maximum percentage of remaining wood products is 100%100\%.