Formula and Method for Exponential Growth
Exponential growth describes a quantity that increases at a rate proportional to its current size, so the bigger it gets, the faster it grows. There are two standard ways to model it. Periodic (discrete) growth compounds a fixed number of times per period: y = y₀(1 + r)ᵗ, where y₀ is the initial value, r is the growth rate per period as a decimal, and t is the number of periods elapsed. Continuous growth compounds at every instant using Euler's number e: y = y₀e^(rt). This calculator also reports the total growth, percent increase, and doubling time for either model.
How the calculation works
Enter the initial value y₀, the growth rate r as a percentage per period, the time elapsed t, and pick a growth model. The rate is converted to a decimal (r ÷ 100) before use. For the periodic model, the calculator raises (1 + r) to the power t and multiplies by y₀; for the continuous model, it multiplies y₀ by e raised to the power (r × t). Total growth is simply the final value minus the initial value, and percent increase is that difference divided by the initial value, times 100. Doubling time — how long it takes the quantity to double at the current rate — is ln(2) / ln(1 + r) for periodic growth or ln(2) / r for continuous growth; it is only defined when the growth rate is positive.
Common mistakes
- Entering the rate as a decimal instead of a percent: this calculator expects r as a percentage (e.g., 5 for 5%), not 0.05 — entering 0.05 would model a 0.05% rate, not 5%.
- Mixing up periodic and continuous models: compound interest paid annually or monthly is periodic; population or radioactive processes are often modeled as continuous. The two give slightly different results for the same nominal rate.
- Forgetting that negative rates model decay: a growth rate below 0% shrinks the quantity toward zero instead of growing it — useful for depreciation or decay, but easy to enter by accident.
- Rounding the rate too aggressively: small rounding errors in r compound over many periods and can meaningfully shift long-horizon projections.
Real-world applications
- Compound interest and investment growth projections, where r is the periodic interest rate.
- Population growth modeling over generations or years.
- Bacterial or viral spread during the early, unconstrained phase of growth.
- Estimating how long an investment, population, or metric takes to double using the doubling-time formula.