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 A varies with time t according to the function: * A(t)=A0ekt
Variables and Constants: * A0: The original amount present at time t=0. * k=0: A constant representing the growth or decay rate. * e: The base of the natural logarithm (approximately 2.718).
Uninhibited Growth: * Occurs when k>0. * The amount A increases over time.
Uninhibited Decay: * Occurs when k<0. * The amount A decreases over time.
Uninhibited Growth of Cells
Cell Culture Model: In the early stages of growth, the number N of cells in a culture after time t is modeled by: * N(t)=N0ekt
Parameters: * N0: The initial number of cells. * k: 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)=90e0.06t, where N is measured in grams and t is measured in days.
Determining Initial Amount: * The initial amount N0 is obtained when t=0. * N(0)=90e0.06×0=90e0=90×1=90.0 * The initial amount is 90.0grams.
Identifying Growth Rate: * Comparing the model to N(t)=N0ekt, the value of k is 0.06. * This indicates a growth rate of 6.0%.
Calculating Population at Specific Time (7 Days): * N(7)=90e0.06×7=90e0.42≈136.97 * The population after 7days is approximately 136.97grams.
Time to Reach a Specific Weight (250 Grams): * Solve for t: 250=90e0.06t * Divide by 90: 90250=e0.06t * Logarithmic form: ln(90250)=0.06t * t=0.06ln(90250)≈17.0 * The population reaches 250grams in approximately 17.0days.
Determining Doubling Time: * The population doubles when N=2N0, which is 180grams. * Solve for t: 180=90e0.06t * Divide by 90: 2=e0.06t * Logarithmic form: ln(2)=0.06t * t=0.06ln(2)≈11.55 * The population doubles approximately every 11.55days.
Example 2: Bacterial Growth and Tripling Time
Function Formulation: If N is the number of cells and t is time in hours, the function follows the uninhibited growth law N(t)=N0ekt.
Finding the Growth Rate from Doubling Time: * The number of bacteria doubles in 5hours. * Set N(5)=2N0: 2N0=N0ek×5 * 2=e5k * 5k=ln(2) * k=5ln(2)≈0.1386
The Growth Function: N(t)=N0e0.1386t.
Calculating Tripling Time: * The size of the colony triples when N(t)=3N0. * 3N0=N0e0.1386t * 3=e0.1386t * 0.1386t=ln(3) * t=0.1386ln(3)≈7.925 * It takes approximately 7.925hours, which is 7hours and 56minutes, to triple.
Consecutive Doubling: If the population doubles in 5hours, it will double a second time (becoming four times the initial size) in another 5hours, for a total of 10hours.
Uninhibited Radioactive Decay
Decay Formula: The amount A of radioactive material present at time t is: * A(t)=A0ekt
Variable Definitions: * A0: Original amount of radioactive material. * k: A negative number (k<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% of the original amount of Carbon-14. The half-life of Carbon-14 is 5730years.
Step 1: Finding the Decay Constant k: * At t=5730, half of the original amount remains (A=0.5A0). * 0.5A0=A0ek×5730 * 0.5=e5730k * 5730k=ln(0.5) * k=5730ln(0.5)≈−0.000121
Step 2: Determining the Age of the Artifact: * The amount currently present is 2.33% of original, so A(t)=0.0233A0. * 0.0233A0=A0e−0.000121t * 0.0233=e−0.000121t * −0.000121t=ln(0.0233) * t=−0.000121ln(0.0233)≈31077 * The tree was cut and burned approximately 31077years ago.
Newton’s Law of Cooling
Theoretical Model: The temperature u of a heated object at time t is given by: * u(t)=T+(u0−T)ekt
Variables: * T: The constant temperature of the surrounding medium. * u0: The initial temperature of the heated object. * k: A negative constant (k<0).
Example 4: Cooling of a Heated Object
Initial Conditions: Object heated to 90∘C, room air temperature T=20∘C. After t=5minutes, the object temperature u=75∘C.
Step 1: Finding the Constant k: * u(t)=20+(90−20)ekt * u(t)=20+70ekt * Using u(5)=75: * 75=20+70e5k * 55=70e5k * e5k=7055 * 5k=ln(7055) * k=5ln(7055)≈−0.0482
Step 2: Calculating Time to reach 50∘C: * 50=20+70e−0.0482t * 30=70e−0.0482t * e−0.0482t=7030 * −0.0482t=ln(7030) * t=−0.0482ln(7030)≈17.6 * The temperature reaches 50∘C after approximately 17.6minutes (17minutes and 36seconds).
Step 3: Calculating Elapsed Time to reach 35∘C: * 35=20+70e−0.0482t * 15=70e−0.0482t * e−0.0482t=7015 * −0.0482t=ln(7015) * t=−0.0482ln(7015)≈32 * The temperature reaches 35∘C after approximately 32minutes.
Observation of Long-Term Temperature Trends: * As t increases, the exponent −0.0482t grows larger in the negative direction. * The expression e−0.0482t approaches zero. * Consequently, the temperature u approaches 20∘C, which is the room's air temperature.
Logistic Growth and Decay Models
General Model Equation: * P(t)=1+ae−btc
Constants: * a,b, and c are constants where a>0 and c>0.
Growth vs. Decay: * Logistic Growth: b>0. * Logistic Decay: b<0.
Properties of Logistic Model: * Domain: The set of all real numbers. * Range: The interval (0,c), where c represents the carrying capacity. * Intercepts: No x-intercepts; y-intercept is at P(0)=1+ac. * Asymptotes: Two horizontal asymptotes exist at y=0 and y=c. * Monotonicity: Function is increasing if b>0 and decreasing if b<0. * Inflection Point: Occurs where the population reaches half of the carrying capacity (P(t)=2c). * 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)=1+74e−0.530t750, representing yeast population in grams after thours.
Carrying Capacity and Growth Rate: * Carrying capacity c=750g. * Growth rate b=0.530 per hour.
Initial Population: * P(0)=1+74e−0.530×0750=1+74750=75750=10 * The initial population was 10g of yeast.
Population after 5 Hours: * P(5)=1+74e−0.530×5750=1+74e−2.65750≈118 * After 5hours, there is approximately 118g of yeast.
Time to reach 250 Grams: * 250=1+74e−0.530t750 * 1+74e−0.530t=250750=3 * 74e−0.530t=2 * e−0.530t=742 * −0.530t=ln(742) * t=−0.530ln(742)≈6.86 * It takes approximately 6.86hours (6hours and 52minutes) to reach 250g.
Time to reach One-Half Carrying Capacity: * One-half capacity is 375g. * Using a graphing utility to intersect Y1=P(t) and Y2=375: * t≈8.18hours (8hours and 11minutes).
Example 6: EFISCEN Wood Product Model
Background: The European Forest Institute (EFI) classifies wood products by life-span: * Short: 1year. * Medium short: 4years. * Medium long: 1years. * Long: 50years (used in building industry).
Model for Long Life-Span Products: The percentage remaining wood products after tyears is modeled by: * P(t)=1+0.0316e0.0581t100.3952
Decay Rate: The decay rate identified in the denominator exponent is 0.0581.
Remaining Wood Products after 15 Years: * P(15)=1+0.0316e0.0581×15100.3952≈93.34 * 93.34% of long-life-span wood products remain after 15years.
Time to Reach 40% Remaining: * Solve for t: 40=1+0.0316e0.0581t100.3952 * 1+0.0316e0.0581t=40100.3952=2.50988 * 0.0316e0.0581t=1.50988 * e0.0581t=0.03161.50988≈47.781 * 0.0581t=ln(47.781) * t=0.0581ln(47.781)≈66.6 * It will take approximately 66.6years for the percentage to reach 40%.
Model Validity (Numerator): The numerator 100.3952 is considered reasonable because the theoretical maximum percentage of remaining wood products is 100%.