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The exponential function is its own derivative; for the chain rule adds the factor k.
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Formula
Dimensionless (calculus)
| Symbol | Meaning | Unit |
|---|---|---|
| Euler number | dimensionless | |
| Independent variable in the exponent | dimensionless | |
| Constant factor in the exponent (growth rate) | dimensionless |
\frac{d}{dx}\, e^{x} = e^{x}, \quad \frac{d}{dx}\, e^{kx} = k \cdot e^{kx}Original schematic by Quanta
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Up to constant multiples, the exponential function is the only function that equals its own derivative. Exactly this property distinguishes the base e ≈ 2.71828 (Euler, 1748). In general by the chain rule, and for it follows that . This is why the exponential function describes all processes whose rate of change is proportional to the current amount.
Holds for all real x; the simple form (eˣ)′ = eˣ requires base e. For other bases (aˣ)′ = ln(a)·aˣ, and for the factor k comes from the chain rule.
The difference quotient of eˣ contains eˣ as a factor.
Composite exponent
Inner derivative to the front, the exponential stays.
General base
Via ; for , .
Antiderivative
Integrating divides by k, differentiating multiplies by k.
Differentiate .
Inner derivative −0.5: f′.
The function decreases everywhere, since .
Show that satisfies f′ = 3f.
f′.
In general solves the differential equation f′ = k·f, the hallmark of exponential growth.
Differentiating eˣ with the power rule: .
The power rule applies to xn (variable in the base), not to eˣ (variable in the exponent).
Forgetting the inner derivative 2 for .
Chain rule: ′ = 2e^(2x).
Assuming (aˣ)′ = aˣ for any base.
Only for ; otherwise the factor ln a appears.
Formula cluster
Derivative, antiderivative and growth models of the exponential function interlock.
: (chain rule, inner derivative 2). At : and , the slope is k times the function value.
Exponential growth and decay, differential equations, population and capital models, curve analysis of exponential functions in final exams
Here is how to work through a typical Derivative of the Exponential Function ((eˣ)' = eˣ) task step by step:
Task
Differentiate .
Solution path
Inner derivative −0.5: f′.
The function decreases everywhere, since .
Task
Show that satisfies f′ = 3f.
Solution path
f′.
In general solves the differential equation f′ = k·f, the hallmark of exponential growth.
The difference quotient of eˣ can be rewritten as eˣ·(e^h − 1)/h, because e^(x+h) = eˣ·e^h. The factor does not depend on x; its limit as h → 0 is the slope of the exponential function at 0. The number e is defined precisely so that this limit equals 1: of all exponential functions aˣ, only the one with base has slope 1 at 0. That is why differentiating simply leaves eˣ. For any other base, (aˣ)′ = ln(a)·aˣ, the factor ln a measuring how much the base deviates from e. This self-reproduction makes the exponential function the natural model for growth whose speed is proportional to the current amount.
Use the chain rule: the outer function is the exponential, whose derivative is itself, the inner function is kx with derivative k. So ′ = k·e^(kx); the factor from the exponent moves to the front. Concretely: ′ = 2e^(2x), ′ = −0.5·e^(−0.5x). With a general expression in the exponent the same principle applies: ′ = u′, for example ′ = 2x·e^(x2). The classic exam mistake is forgetting the inner derivative and writing only ; the result is then too small by the factor 2. Mnemonic: copy the exponential, multiply the inner derivative in front.
Rewrite the base: , since . Now the chain rule applies with inner derivative ln a, so ′ = ln(a)·a^x. For this means ′ = ln(2)·2^x ≈ 0.693·2^x, for correspondingly . The factor ln a is the growth rate: for it exceeds 1, for it is smaller. The formula also shows why e is the "natural" base: only for does and the prefactor disappear. Exams like to use as a trap, because many reflexively write or ; both are wrong.
Here you combine product rule and chain rule. For f(x) = x·eˣ, f′(x) = 1·eˣ + x·eˣ = (1 + x)·eˣ. For the product rule gives g′; the inner derivative −1 comes from the chain rule. Factoring out the exponential at the end is practical: since eˣ or is never zero, you read the zeros of the derivative from the polynomial factor alone, here with candidates and . Exactly this pattern, polynomial times exponential, is the most common function type in final-exam curve analysis.
Because its derivative is proportional to itself: satisfies f′ = k·f. Exactly this characterizes natural processes where the rate of change depends on the current amount: the more bacteria there are, the more are added per hour; the more radioactive nuclei exist, the more decay per second. Positive k means growth, negative k decay. The exponential family is the only class of functions with this property, which is why it solves the differential equation f′ = k·f. In applications you determine k from data such as doubling time or half-life . Thus the differentiation rule becomes a direct modelling tool for biology, physics and finance.
Quanta exam set
Curated exam set for "Derivative of the Exponential Function":
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Which formula describes Derivative of the Exponential Function?
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How do you rearrange Derivative of the Exponential Function for Composite exponent?
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Which common mistake happens with Derivative of the Exponential Function?
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