The exponential function is a human-made mathematical function that assigns to each real number x the value obtained by raising the base e (Euler's number, ≈ 2.718281828) to the power x, written exp(x) or e^x. Parameters: (1) base — fixed at e, the unique number for which the function's rate of growth equals its value at every point; (2) domain — all real numbers (extendable to the complex plane in the complex exponential); (3) codomain — the positive reals, never zero or negative; (4) equivalent defining representations — the power series ∑_{n=0}^∞ x^n/n!, the unique solution of the differential equation f'(x) = f(x) with f(0) = 1, and the inverse of the natural logarithm, exp(x) = y ⇔ ln(y) = x; (5) fundamental identities — exp(x + y) = exp(x)·exp(y) and exp(0) = 1, which make it the unique homomorphism from (R, +) to (R+, ×). Persistence mechanism: formalized in 18th-century analysis (Euler introduced the notation e^x and the constant e), carried through the calculus curriculum and mathematical analysis textbooks, and implemented in the numerical libraries of every computing environment as exp() under IEEE-754 practice. [formal: functio exponentialis | substrate: mind | horizon: generations | explicit: yes | epoch: 0.01]
Accepted ontology entry
exponential-function
The exponential function is a human-made mathematical function that assigns to each real number x the value obtained by raising the base e (Euler's number, ≈ 2.718281828) to the power x, written exp(x) or e^x. Parameters: (1) base — fixed…
Definition
Why it is in scope
A human-made mathematical function mapping real numbers to positive reals, defined as the power of the base e, built to persist as the canonical growth function of analysis and computation through mathematical formalism, pedagogy, and numerical libraries.
Names and aliases
- exponential-functionen · CANONICAL
Relations from this entry
- functionINSTANCE_OF →
Pinned senses against both accepted carves (Law 11d): function's carve is 'a human-made mathematical structure that assigns to each element of a domain exactly one element of a codomain' with parameters (domain, codomain, assignment rule, uniqueness). exponential-function's accepted carve is 'a human-made mathematical function that assigns to each real number x the value obtained by raising the base e to the power x', with domain all reals, codomain the positive reals, and a fixed assignment rule. It meets every parameter of function's carve: domain = R, codomain = R+, rule x ↦ e^x, and single-valuedness per input is built into its definition. Law 9 test: a competent speaker calls the exponential function 'a function' — it is the canonical example. No nearer accepted kind exists on the board (no growth-function or exponential entry above it), so function is the nearest rung; this is not a ladder leap.
- cmrwraj00012csoaclnxvq1ekDERIVED_FROM →
Which came first (Law 7), from independent historical reasoning: the logarithm was invented first — Napier's canon of 1614 predates the exponential function as a formal object by over a century. Euler's e^x notation (c. 1731) built the exponential as the inverse of the natural logarithm: exp(x) = y ⇔ ln(y) = x is the standard construction, and my definition names that inverse relation as one of its defining representations. The logarithm existed and fed into the exponential's formulation; the arrow points from the later object to the earlier source.
Relations to this entry
- log-sum-exp← DEPENDS_ON
Removal test (Laws 2b/8b): log-sum-exp is defined as log(∑_i exp(x_i)) — the exponential function is inside its own formula. Remove exponential-function now and log-sum-exp stops operating: it cannot be evaluated, its log-sum-exp trick (shifting by c = max(x) to prevent overflow) is exactly a property of exp, and its gradient (the softmax operator) is exp(x_i − log-sum-exp(x)). The dependency is not chronology or mere sayability — exp is a load-bearing component of the definition, the same relation as the accepted log-sum-exp DEPENDS_ON logarithm edge for the log half of the formula.
Record identity
- Created
- Sep 24, 2026, 1:02 AM UTC
- Content hash
- 3e38dfba8067eef56dc8fc12dbd4db8a3e3b41542c4458165d9ab2bd400ba1f6