Logarithms as inverses of exponentials
Anchor (Master): Napier 1614 Mirifici logarithmorum canonis descriptio; Euler 1748 Introductio; Hardy 1908 A Course of Pure Mathematics
Intuition [Beginner]
A logarithm answers one question: "what power do I need?" If , then the logarithm base of is . You read as " to the power gives ."
The logarithm reverses the exponential. The exponential asks "what do I get when I raise to this power?" The logarithm asks "what power of gives me this number?" They are two sides of the same coin, like multiplication and division. One builds up; the other takes apart.
Why does this matter? Because logarithms turn multiplication into addition. Computing by hand is work. But and , and , and . The product . You replaced multiplication with addition by passing through the logarithm. This is the reason logarithms were invented.
Visual [Beginner]
The graph of is the mirror image of , reflected across the diagonal line . Where climbs steeply to the right, climbs slowly. Where passes through , passes through .
The logarithm is defined only for positive inputs. The curve rises without bound as grows, but it rises slowly: reaching requires . As approaches from the right, the logarithm plunges toward negative infinity, never touching the vertical axis.
Worked example [Beginner]
Compute .
Step 1. Ask: "three to what power equals ?"
Step 2. Test small powers of : , , , .
Step 3. The answer is .
What this tells us: . The logarithm found the exponent by asking the exponential to undo itself. You can always verify a logarithm answer by running the exponential forward: confirms .
Check your understanding [Beginner]
Formal definition [Intermediate+]
Let , . The logarithm base is the function defined by:
This definition is well-posed because is a strictly monotone continuous bijection from onto . Strict monotonicity guarantees injectivity (each output comes from at most one input), and the intermediate value theorem guarantees surjectivity onto because as and as when (the case reverses the limits). The inverse of a strictly monotone continuous function is itself strictly monotone and continuous.
The defining identities are the inverse relations:
Counterexamples to common slips
- Base is excluded. The function is constant, so it has no inverse. The equation has no meaning because every satisfies .
- The domain of is , not all of . Taking the logarithm of a negative number or zero is not defined within the reals because for all .
- is not . The correct law is . The logarithm converts multiplication into addition, not into multiplication.
Key theorem with proof [Intermediate+]
Theorem (laws of logarithms). Let , , and , . Then:
- .
- .
- .
- (Change of base) for any base , .
Proof of (1). Set and , so and . Then by the exponential addition law. Applying the definition of logarithm to both sides gives .
Proof of (2). Set , so . Then by the power-of-a-power law for exponentials. The definition of logarithm gives .
Proof of (3). Write . By law (1), . By law (2) with , . Combining: .
Proof of (4). Set , so . Take of both sides: . By law (2), . Since (because and imply is not a power of equal to ), divide: .
Bridge. The foundational reason logarithms convert multiplication into addition is that exponentials convert addition into multiplication — the logarithm is the inverse of that conversion, so it runs the process backwards. This is exactly the content of law (1): is the image under inversion of . The central insight is that every logarithm law is the mirror image of an exponential law, and the bridge is that the logarithm identifies the multiplicative group with the additive group by inverting the exponential isomorphism. This pattern builds toward 02.06.01 where the natural logarithm is defined independently as an integral and the exponential is recovered as its inverse, and appears again in 00.02.05 where the general notion of inverse function is introduced. The change-of-base formula puts these together: it identifies every logarithm with a scalar multiple of every other, so all logarithm bases carry the same structural information.
Exercises [Intermediate+]
Advanced results [Master]
Theorem 1 (the natural logarithm). The base- logarithm is called the natural logarithm. For any base , : .
The natural logarithm is the unique logarithm whose base satisfies . Equivalently, is the inverse of the unique exponential whose derivative equals itself. This gives the natural logarithm a distinguished role in calculus and analysis.
Theorem 2 (logarithm as integral). The natural logarithm admits the integral representation:
This integral defines independently of the exponential: , is strictly increasing and concave, and its inverse is . The proof that this integral's inverse satisfies is the foundational link between the algebraic and analytic constructions.
Theorem 3 (concavity of logarithm). The function is strictly concave on : for all and :
This is the content of the AM-GM inequality in logarithmic form: being concave is equivalent to because applying to both sides gives , which reverses under exponentiation.
Theorem 4 (logarithmic growth is slower than any positive power). For every :
This is the dual of the exponential growth theorem from 00.05.01. The proof uses the substitution , giving , and the denominator grows exponentially while the numerator grows linearly.
Theorem 5 (logarithm and the prime-counting function). The function counting primes satisfies as (the prime number theorem, Hadamard 1896 and de la Vallee Poussin 1896). The natural logarithm enters through the Euler product and the pole at , where the residue is controlled by -growth.
Theorem 6 (logarithmic differentiation). For a product of differentiable positive functions, the derivative satisfies:
This is proved by writing and differentiating both sides.
Theorem 7 (logarithmic scales and entropy). The Shannon entropy measures the information content of a probability distribution. The logarithm appears because additive information corresponds to multiplicative probability: two independent events with probabilities and give joint probability , and converts the product into a sum of contributions.
Synthesis. The foundational reason logarithms pervade mathematics is that they identify the multiplicative structure of positive reals with the additive structure of all reals. The central insight is that every property of the logarithm is an inverted property of the exponential: the product law for logarithms is the inverse of the addition law for exponentials, concavity of is the inverse of convexity of , and the slow growth of is the inverse of the fast growth of . This is exactly the content of the inverse-function relationship. The bridge is between algebra and analysis: putting these together, the logarithm converts multiplicative problems into additive ones (Theorem 7), measures growth rates through orders of magnitude (Theorems 4 and 5), and provides the differentiation shortcut for products (Theorem 6). The pattern generalises from real numbers to matrices via the matrix logarithm, to Lie groups via the exponential map, and to operator algebras via the spectral-theoretic functional calculus, each time carrying the same identification of multiplicative and additive structures.
Full proof set [Master]
Proposition 1 (the logarithm is well-defined). For , , the map is a well-defined function: for every there exists a unique with .
Proof. If , the function is continuous, strictly increasing, , and . By the intermediate value theorem, for each there exists with . Strict monotonicity gives uniqueness. If , the function where is strictly decreasing, continuous, and surjects onto , so the same argument applies.
Proposition 2 (change of base). For with , , and any : .
Proof. Set , so . Take of both sides: . By the power law for logarithms (Theorem 2 of the Key Theorem), this gives . Since and , . Solve: .
Proposition 3 (integral representation of ). The function for satisfies the logarithm laws: and , and its inverse is an exponential function with base .
Proof. For the product law: . Substituting in the second integral gives and , with limits to . So . For the power law: . Substituting gives , so , with limits to , giving . The function is strictly increasing (its derivative ) and maps onto (because as and as ). Its inverse is therefore a strictly increasing continuous bijection satisfying the exponential addition law, hence is for some . Setting defines : , so .
Connections [Master]
Real exponents and the exponential function
00.05.01. The logarithm is the inverse of the exponential: every logarithm law is derived by inverting the corresponding exponential law. The product-to-sum rule is the mirror of , and the power rule is the mirror of . Without the exponential function defined in00.05.01as a continuous bijection from onto , the logarithm would have no definition.Functions, domain, and inverse
00.02.05. The logarithm is the precalc strand's central example of an inverse function. The exponential is a bijection , and is its inverse . The domain restriction to for the logarithm's input is forced by the range of the exponential, providing a concrete instance of the general principle that the domain of an inverse function equals the range of the original.Real numbers and completeness
00.01.01. The existence of for every depends on the intermediate value theorem, which in turn depends on the completeness of . Over the rationals, there is no with , because is irrational. The completeness axiom ensures that every positive real has a real logarithm, closing the gap that would otherwise prevent the inverse from being defined on all of .
Historical & philosophical context [Master]
Napier 1614 Mirifici logarithmorum canonis descriptio [Napier1614] introduced logarithms as a computational device for reducing astronomical calculations. Napier's construction differed from the modern one: he defined logarithms via a kinematic model comparing a moving point on a line segment (producing a geometric progression) with a point moving along an infinite line (producing an arithmetic progression). Briggs 1617 Logarithmorum chilias prima adapted Napier's tables to base , producing the common logarithms that dominated computation for three centuries. Euler 1748 Introductio in analysin infinitorum [Euler1748] identified logarithms as the inverse of exponentials, derived the laws of logarithms from the laws of exponents, and proved the change-of-base formula. The integral definition appeared in the work of Gregory de Saint-Vincent 1647 Opus geometricum and was made rigorous by Mercator 1668 Logarithmotechnia. The connection between logarithms and prime numbers, culminating in the prime number theorem, was established by Hadamard 1896 Sur la distribution des zeros de la fonction et consequences arithmetiques (Bull. Soc. Math. France 24) and de la Vallee Poussin 1896 Recherches analytiques sur la theorie des nombres premiers (Ann. Soc. Sci. Bruxelles 20).
Bibliography [Master]
@book{Napier1614,
author = {Napier, John},
title = {Mirifici logarithmorum canonis descriptio},
publisher = {Andro Hart},
address = {Edinburgh},
year = {1614}
}
@book{Briggs1617,
author = {Briggs, Henry},
title = {Logarithmorum chilias prima},
publisher = {privately printed},
address = {London},
year = {1617}
}
@book{Euler1748,
author = {Euler, Leonhard},
title = {Introductio in analysin infinitorum},
publisher = {Marcus-Michaelis Bousquet},
address = {Lausanne},
year = {1748}
}
@book{Hardy1908,
author = {Hardy, G. H.},
title = {A Course of Pure Mathematics},
publisher = {Cambridge University Press},
year = {1908}
}
@book{Lang1988,
author = {Lang, Serge},
title = {Basic Mathematics},
publisher = {Springer},
year = {1988}
}