A hypothetical quantity starts at 100 and doubles every three hours: 200 at hour 3, 400 at hour 6. Adding 100 every three hours would give only 300. Exponential growth preserves a factor over equal times. Use power functions and progressions.

E(t) = 100 ⋅ (2)^(t/3), L(t) = 100 + (100)/(3)t. E(t + 3) = 2E(t).

At 1.5 hours E gives 100√(2) ≈ 141.42, not 150. Integer-period data alone do not specify intermediate values; this model additionally assumes consistent factors for fractions of periods.

Factor and increment

E(t)=100·2ᵗᐟ³; L(t)=100+100t/3

03690200400800t, hN
Solid E doubles per 3 h; dashed L adds 100 per 3 h. Shared initial data do not imply equal future growth. Hours, hypothetical quantity, uniform scales.

Real exponents

Fractional powers use roots. Irrational powers use the consistent continuous extension from rational approximations.

(a)^(p/q) = ((a)^(p))^(1/(q)) (a > 0); (a)^(u + v) = (a)^(u)(a)^(v).

f(x) = (a)^(x) has domain ℝ and range (0,∞). It increases for a>1 and decreases for 0<a<1; a=1 gives constant 1. A positive base is required for arbitrary real exponents. OpenStax

Why e appears

Split a hypothetical 100% increase per time unit into m equal compounding steps. For m=1,2,10,100, (1 + 1/m)^(m) is approximately 2; 2.25; 2.594; 2.705. It approaches e.

((1 + (1)/(m)))^(m)⟶e ≈ 2.71828; N(t) = N_(0)(e)^(kt).

Here k is a constant rate per time unit, and kt is dimensionless. Positive k gives growth, negative k decay. Doubling time satisfies (e)^(kT) = 2; in our model T=3 hours. This does not prove unlimited real growth: resources and rates can change. Distinguish a model’s constant factor from a measured pattern.