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Exponential models

One function is its own gradient.

Growth that feeds on itself — populations, interest, radioactive decay — is exponential. At the heart of all of it is one number, e≈2.718e \approx 2.718, and one curve, y=exy = e^x.

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Key result

ddx ex=ex\frac{d}{dx}\,e^x = e^x

Slide along y=exy = e^x and the tangent's slope always equals the height. At x=1x = 1 both are e≈2.72e \approx 2.72. No other base does this — which is why ee runs every growth model.

Its inverse

ln⁡(ex)=x\ln\left(e^x\right) = x

Reflect y=exy = e^x in y=xy = x and you get y=ln⁡xy = \ln x: the natural logarithm undoes ee. It's how you solve for a power — e2x=7e^{2x} = 7 gives 2x=ln⁡72x = \ln 7, so x=0.973x = 0.973.

The model

y=Aekty = Ae^{kt}

A radioactive sample: m=50e−0.2tm = 50e^{-0.2t} grams after tt days. A=50A = 50 is where it starts; k=−0.2k = -0.2 sets the rate — and because kk is negative, it decays.

Half-life

Watch the gaps: the mass halves every 3.47 days — 50 to 25 to 12.5 to 6.25 — and the gap never changes. A constant halving time is the fingerprint of exponential decay.

Reduction to linear form

ln⁡y=ln⁡A+kt\ln y = \ln A + kt

Plot ln⁡m\ln m instead of mm and the curve becomes a straight line: gradient k=−0.2k = -0.2, intercept ln⁡50≈3.91\ln 50 \approx 3.91. Run it backwards on real data and the line hands you the model.

Chapter 11

Straighten the curve, read off the model.

Solving with ee and ln⁡\ln, growth models, the base-10 version of the straight-line trick, and twelve graded exam questions with full worked solutions are waiting.