Math Problem Statement

A colony of bacteria is grown under ideal conditions in a laboratory so that the population increases exponentially with time. At the end of 3 hours there are 10 comma 000 bacteria. At the end of 10 hours there are 90 comma 000. How many bacteria were initially​ present? Question content area bottom Part 1 There were approximately    enter your response here bacteria present initially. ​(Round to the nearest whole number as​ needed.)

Solution

To solve this problem, we use the formula for exponential growth:

P(t)=P0ektP(t) = P_0 e^{kt}

Where:

  • P(t)P(t) is the population at time tt,
  • P0P_0 is the initial population,
  • kk is the growth rate,
  • tt is the time elapsed.

Step 1: Write two equations based on given data.

At t=3t = 3, P(3)=10,000P(3) = 10,000: 10,000=P0e3k10,000 = P_0 e^{3k}

At t=10t = 10, P(10)=90,000P(10) = 90,000: 90,000=P0e10k90,000 = P_0 e^{10k}

Step 2: Divide the two equations to eliminate P0P_0.

Dividing the second equation by the first gives: 90,00010,000=P0e10kP0e3k\frac{90,000}{10,000} = \frac{P_0 e^{10k}}{P_0 e^{3k}}

Simplify: 9=e10k3k9=e7k9 = e^{10k - 3k} \quad \Rightarrow \quad 9 = e^{7k}

Take the natural logarithm on both sides: ln(9)=7kk=ln(9)7\ln(9) = 7k \quad \Rightarrow \quad k = \frac{\ln(9)}{7}

Calculate kk: k2.19770.3139k \approx \frac{2.197}{7} \approx 0.3139

Step 3: Solve for P0P_0 using one of the original equations.

Substitute kk into the equation 10,000=P0e3k10,000 = P_0 e^{3k}: 10,000=P0e3(0.3139)10,000 = P_0 e^{3(0.3139)}

Calculate e3(0.3139)e^{3(0.3139)}: e3(0.3139)e0.94172.564e^{3(0.3139)} \approx e^{0.9417} \approx 2.564

Now solve for P0P_0: P0=10,0002.5643,900P_0 = \frac{10,000}{2.564} \approx 3,900

Final Answer:

The initial number of bacteria was approximately: 3,900\boxed{3,900}


Would you like additional explanation or have further questions?

Related Questions:

  1. How do exponential growth and decay differ in terms of equations and behavior?
  2. Can this problem be solved using logarithmic properties without dividing equations?
  3. What is the doubling time for the bacterial population in this scenario?
  4. How does changing the growth rate affect the initial population calculation?
  5. What real-world factors could make a bacterial growth model deviate from exponential growth?

Tip: Always check your growth rate calculation by substituting it back into the original equations!

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Math Problem Analysis

Mathematical Concepts

Exponential Growth
Algebra
Logarithms

Formulas

Exponential growth formula: P(t) = P_0 * e^(kt)
Natural logarithm: ln(x)

Theorems

Properties of logarithms
Exponential and logarithmic relationship

Suitable Grade Level

Grades 10-12