Saturation Math Example 1

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Example 1

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The logistic function P(t)=10001+eโˆ’0.5(tโˆ’6)P(t) = \dfrac{1000}{1+e^{-0.5(t-6)}} models population growth. Find P(0)P(0), P(6)P(6), and limโกtโ†’โˆžP(t)\lim_{t\to\infty}P(t).

Solution

  1. 1
    P(0)=10001+eโˆ’0.5(0โˆ’6)=10001+e3=10001+20.09โ‰ˆ100021.09โ‰ˆ47.4P(0) = \frac{1000}{1+e^{-0.5(0-6)}} = \frac{1000}{1+e^{3}} = \frac{1000}{1+20.09} \approx \frac{1000}{21.09} \approx 47.4.
  2. 2
    P(6)=10001+e0=10001+1=500P(6) = \frac{1000}{1+e^{0}} = \frac{1000}{1+1} = 500. At t=6t=6, population is at half the maximum.
  3. 3
    limโกtโ†’โˆžP(t)\lim_{t\to\infty}P(t): as tโ†’โˆžt\to\infty, eโˆ’0.5(tโˆ’6)โ†’0e^{-0.5(t-6)}\to0, so Pโ†’10001+0=1000P\to\frac{1000}{1+0}=1000. The carrying capacity (saturation level) is L=1000L=1000.

Answer

P(0)โ‰ˆ47.4P(0)\approx47.4; P(6)=500P(6)=500; limโกtโ†’โˆžP(t)=1000\lim_{t\to\infty}P(t)=1000
The logistic function starts slow, grows rapidly in the middle, then saturates at LL (the carrying capacity). The inflection point occurs at t=x0t=x_0 where P=L/2P=L/2; here at t=6t=6, P=500P=500.

About Saturation

Saturation is the phenomenon where a growing quantity approaches a limiting value asymptotically, with the rate of growth decreasing as the limit is approached.

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