Separable equations

Level UniversityDifficulty ★★★★★Method⌖ Open in the map

What is it?

y′=g(t) h(y)y' = g(t)\,h(y): put all the yy on one side and integrate, ∫dyh(y)=∫g(t) dt\int\frac{\dd y}{h(y)} = \int g(t)\,\dd t. Exponential growth and the logistic curve are solved this way.

Formulas

y′=r y(1−yK)  ⟹  y(t)=K1+(Ky0−1)e−rty' = r\,y\Big(1 - \frac{y}{K}\Big) \implies y(t) = \frac{K}{1 + \big(\frac{K}{y_0} - 1\big)e^{-rt}}
logistic growth: the sigmoid is its solution

Where it shows up in computing

  • Population and epidemic models★★★★★frequentPhysics and simulation

    The logistic equation of population and adoption curves is separable; its solution is a shifted sigmoid.

Where is it used?

Computing topics reachable from here, through the chain of ideas that leads to them:

This page has the essentials. A fuller treatment (intuition, formal definition, worked example) is on the way.

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