Elementary function
In mathematics, elementary functions are those functions that are most commonly encountered by beginners. They are typically real functions of a single variable that can be defined by applying the operations of addition, multiplication, division, nth root, and function composition to polynomial, exponential, logarithm, and trigonometric functions. They include inverse trigonometric functions, hyperbolic functions and inverse hyperbolic functions, which can be expressed in terms of logarithms and exponential function.[1][better source needed]
All elementary functions have derivatives of any order, which are also elementary, and can be algorithmically computed by applying the differentiation rules. They are analytic functions, except at isolated points of their domain. In contrast, antiderivatives of elementary functions need not to be elementary and is difficult to decide whether a specific elementary function has an elementary antiderivative.
In a tentative to solve this problem, Joseph Liouville introduced in 1833 a definition of elementary functions that extends the above one and is commonly accepted:[2][3][4] An elementary function is a function that can be built, using addition, multiplication, division, and function composition, from constant functions, exponential function, complex logarithm and roots of polynomials with elementary functions as coefficients. This includes the trigomometric functions, since, for example, .
Liouville's result is that, if an elementary function has an elementary antiderivative, then this antiderivative is a linear combination of logarithms, where the coefficients and the arguments of the logarithms are elementary functions involved, in some sense, in the definition of the function. More than 130 years later, Risch algorithm, named after Robert Henry Risch, is an algorithm to decide whether an elementary function has an elementary antiderivative, and, if it has, to compute this antiderivative. Despite it deals with elementary functions, Risch algorithm is far to be elementary, and, as of 2025[update], is seems that no complete implementation is available.
Examples
[edit]Basic examples
[edit]Elementary functions of a single variable x include:
- Constant functions: , the Euler–Mascheroni constant, Apéry's constant, Khinchin's constant, etc. Any constant real (or complex) number.
- Powers of x: etc. (The exponent can be any real or complex constant.)
- Exponential functions:
- Logarithms:
- Trigonometric functions: etc.
- Inverse trigonometric functions: etc.
- Hyperbolic functions: etc.
- Inverse hyperbolic functions: etc.
- All functions obtained by adding, subtracting, multiplying or dividing a finite number of any of the previous functions[5]
- All functions obtained by root extraction of a polynomial with coefficients in elementary functions[6][7]
- All functions obtained by composing a finite number of any of the previously listed functions
Certain elementary functions of a single complex variable z, such as and , may be multivalued. Additionally, certain classes of functions may be obtained by others using the final two rules. For example, the exponential function composed with addition, subtraction, and division provides the hyperbolic functions, while initial composition with instead provides the trigonometric functions.
Composite examples
[edit]Examples of elementary functions include:
- Addition, e.g. (x + 1)
- Multiplication, e.g. (2x)
- Polynomial functions
The last function is equal to , the inverse cosine, in the entire complex plane.
All monomials, polynomials, rational functions and algebraic functions are elementary.
Non-elementary functions
[edit]All elementary functions are analytic, unlike the absolute value function or discontinuous functions such as the step function.[8][9] Some have proposed extending the set to include, for example, the Lambert W function[10] or elliptic functions,[11] all of which are still analytic.
Not every analytic function is elementary. Some examples that are not elementary, under standard definitions:
- tetration
- the gamma function
- non-elementary Liouvillian functions, including
- the exponential integral (Ei), logarithmic integral (Li or li) and Fresnel integrals (S and C).
- the error function, a fact that may not be immediately obvious, but can be proven using the Risch algorithm.
- other nonelementary integrals, including the Dirichlet integral and elliptic integral.
Closure
[edit]It follows directly from the definition that the set of elementary functions is closed under arithmetic operations, (algebraic) root extraction and composition. The elementary functions are closed under differentiation. They are not closed under limits and infinite sums. Importantly, the elementary functions are not closed under integration, as shown by Liouville's theorem, see nonelementary integral. The Liouvillian functions are defined as the elementary functions and, recursively, the integrals of the Liouvillian functions.
Differential algebra
[edit]The mathematical definition of an elementary function, or a function in elementary form, is considered in the context of differential algebra. A differential algebra is an algebra with the extra operation of derivation (algebraic version of differentiation). Using the derivation operation new equations can be written and their solutions used in extensions of the algebra. By starting with the field of rational functions, two special types of transcendental extensions (the logarithm and the exponential) can be added to the field building a tower containing elementary functions.
A differential field F is a field F0 (rational functions over the rationals Q for example) together with a derivation map u → ∂u. (Here ∂u is a new function. Sometimes the notation u′ is used.) The derivation captures the properties of differentiation, so that for any two elements of the base field, the derivation is linear
and satisfies the Leibniz product rule
An element h is a constant if ∂h = 0. If the base field is over the rationals, care must be taken when extending the field to add the needed transcendental constants.
A function u of a differential extension F[u] of a differential field F is an elementary function over F if the function u
- is algebraic over F, or
- is an exponential, that is, ∂u = u ∂a for a ∈ F, or
- is a logarithm, that is, ∂u = ∂a / a for a ∈ F.
(see also Liouville's theorem)
See also
[edit]- Algebraic function
- Closed-form expression
- Differential Galois theory
- Elementary function arithmetic
- Liouville's theorem (differential algebra)
- Tarski's high school algebra problem
- Transcendental function
- Tupper's self-referential formula
Notes
[edit]- ^ Subbotin, Igor Ya.; Bilotskii, N. N. (March 2008). "Algorithms and Fundamental Concepts of Calculus" (PDF). Journal of Research in Innovative Teaching. 1 (1): 82–94.
- ^ Liouville 1833a.
- ^ Liouville 1833b.
- ^ Liouville 1833c.
- ^ Morris Tenenbaum (1985). Ordinary Differential Equations. Dover. p. 17. ISBN 0-486-64940-7.
- ^ Spivak, Michael. (1994). Calculus (3rd ed.). Houston, Tex.: Publish or Perish. p. 363. ISBN 0914098896. OCLC 31441929.
- ^ Ritt, chapter 1
- ^ Risch, Robert H. (1979). "Algebraic Properties of the Elementary Functions of Analysis". American Journal of Mathematics. 101 (4): 743–759. doi:10.2307/2373917. ISSN 0002-9327. JSTOR 2373917.
- ^ Watson and Whittaker 1927, footnote to p 82
- ^ Stewart, Seán (2005). "A new elementary function for our curricula?" (PDF). Australian Senior Mathematics Journal. 19 (2): 8–26.
- ^ Ince, footnote to p 330
References
[edit]- Liouville, Joseph (1833a). "Premier mémoire sur la détermination des intégrales dont la valeur est algébrique". Journal de l'École Polytechnique. tome XIV: 124–148.
- Liouville, Joseph (1833b). "Second mémoire sur la détermination des intégrales dont la valeur est algébrique". Journal de l'École Polytechnique. tome XIV: 149–193.
- Liouville, Joseph (1833c). "Note sur la détermination des intégrales dont la valeur est algébrique". Journal für die reine und angewandte Mathematik. 10: 347–359.
- Ritt, Joseph (1950). Differential Algebra. AMS.
- Rosenlicht, Maxwell (1972). "Integration in finite terms". American Mathematical Monthly. 79 (9): 963–972. doi:10.2307/2318066. JSTOR 2318066.
Further reading
[edit]- Davenport, James H. (2007). "What Might "Understand a Function" Mean?". Towards Mechanized Mathematical Assistants. Lecture Notes in Computer Science. Vol. 4573. pp. 55–65. doi:10.1007/978-3-540-73086-6_5. ISBN 978-3-540-73083-5. S2CID 8049737.