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Rational function
Rational function
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In mathematics, a rational function is any function that can be defined by a rational fraction, which is an algebraic fraction such that both the numerator and the denominator are polynomials. The coefficients of the polynomials need not be rational numbers; they may be taken in any field K. In this case, one speaks of a rational function and a rational fraction over K. The values of the variables may be taken in any field L containing K. Then the domain of the function is the set of the values of the variables for which the denominator is not zero, and the codomain is L.

The set of rational functions over a field K is a field, the field of fractions of the ring of the polynomial functions over K.

Definitions

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A function is called a rational function if it can be written in the form[1]

where and are polynomial functions of and is not the zero function. The domain of is the set of all values of for which the denominator is not zero.

However, if and have a non-constant polynomial greatest common divisor , then setting and produces a rational function

which may have a larger domain than , and is equal to on the domain of It is a common usage to identify and , that is to extend "by continuity" the domain of to that of Indeed, one can define a rational fraction as an equivalence class of fractions of polynomials, where two fractions and are considered equivalent if . In this case is equivalent to

A proper rational function is a rational function in which the degree of is less than the degree of and both are real polynomials, named by analogy to a proper fraction in [2]

Complex rational functions

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In complex analysis, a rational function

is the ratio of two polynomials with complex coefficients, where Q is not the zero polynomial and P and Q have no common factor (this avoids f taking the indeterminate value 0/0).

The domain of f is the set of complex numbers such that . Every rational function can be naturally extended to a function whose domain and range are the whole Riemann sphere, i.e., a rational mapping. Iteration of rational functions on the Riemann sphere forms a discrete dynamical system.[3]

A complex rational function with degree one is a Möbius transformation.

Rational functions are representative examples of meromorphic functions.[4]

Degree

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There are several non equivalent definitions of the degree of a rational function.

Most commonly, the degree of a rational function is the maximum of the degrees of its constituent polynomials P and Q, when the fraction is reduced to lowest terms. If the degree of f is d, then the equation

has d distinct solutions in z except for certain values of w, called critical values, where two or more solutions coincide or where some solution is rejected at infinity (that is, when the degree of the equation decreases after having cleared the denominator).

The degree of the graph of a rational function is not the degree as defined above: it is the maximum of the degree of the numerator and one plus the degree of the denominator.

In some contexts, such as in asymptotic analysis, the degree of a rational function is the difference between the degrees of the numerator and the denominator.[5]: §13.6.1 [6]: Chapter IV 

In network synthesis and network analysis, a rational function of degree two (that is, the ratio of two polynomials of degree at most two) is often called a biquadratic function.[7]

Examples

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Examples of rational functions
Rational function of degree 3
Rational function of degree 3, with a graph of degree 3:
Rational function of degree 2
Rational function of degree 2, with a graph of degree 3:

The rational function

is not defined at

It is asymptotic to as

The rational function

is defined for all real numbers, but not for all complex numbers, since if x were a square root of (i.e. the imaginary unit or its negative), then formal evaluation would lead to division by zero:

which is undefined.

A constant function such as f(x) = π is a rational function since constants are polynomials. The function itself is rational, even though the value of f(x) is irrational for all x.

Every polynomial function is a rational function with A function that cannot be written in this form, such as is not a rational function. However, the adjective "irrational" is not generally used for functions.

Every Laurent polynomial can be written as a rational function while the converse is not necessarily true, i.e., the ring of Laurent polynomials is a subring of the rational functions.

The rational function is equal to 1 for all x except 0, where there is a removable singularity. The sum, product, or quotient (excepting division by the zero polynomial) of two rational functions is itself a rational function. However, the process of reduction to standard form may inadvertently result in the removal of such singularities unless care is taken. Using the definition of rational functions as equivalence classes gets around this, since x/x is equivalent to 1/1.

Taylor series

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The coefficients of a Taylor series of any rational function satisfy a linear recurrence relation, which can be found by equating the rational function to a Taylor series with indeterminate coefficients, and collecting like terms after clearing the denominator.

For example,

Multiplying through by the denominator and distributing,

After adjusting the indices of the sums to get the same powers of x, we get

Combining like terms gives

Since this holds true for all x in the radius of convergence of the original Taylor series, we can compute as follows. Since the constant term on the left must equal the constant term on the right it follows that

Then, since there are no powers of x on the left, all of the coefficients on the right must be zero, from which it follows that

Conversely, any sequence that satisfies a linear recurrence determines a rational function when used as the coefficients of a Taylor series. This is useful in solving such recurrences, since by using partial fraction decomposition we can write any proper rational function as a sum of factors of the form 1 / (ax + b) and expand these as geometric series, giving an explicit formula for the Taylor coefficients; this is the method of generating functions.

Abstract algebra

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In abstract algebra the concept of a polynomial is extended to include formal expressions in which the coefficients of the polynomial can be taken from any field. In this setting, given a field F and some indeterminate X, a rational expression (also known as a rational fraction or, in algebraic geometry, a rational function) is any element of the field of fractions of the polynomial ring F[X]. Any rational expression can be written as the quotient of two polynomials P/Q with Q ≠ 0, although this representation isn't unique. P/Q is equivalent to R/S, for polynomials P, Q, R, and S, when PS = QR. However, since F[X] is a unique factorization domain, there is a unique representation for any rational expression P/Q with P and Q polynomials of lowest degree and Q chosen to be monic. This is similar to how a fraction of integers can always be written uniquely in lowest terms by canceling out common factors.

The field of rational expressions is denoted F(X). This field is said to be generated (as a field) over F by (a transcendental element) X, because F(X) does not contain any proper subfield containing both F and the element X.

Notion of a rational function on an algebraic variety

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Like polynomials, rational expressions can also be generalized to n indeterminates X1,..., Xn, by taking the field of fractions of F[X1,..., Xn], which is denoted by F(X1,..., Xn).

An extended version of the abstract idea of rational function is used in algebraic geometry. There the function field of an algebraic variety V is formed as the field of fractions of the coordinate ring of V (more accurately said, of a Zariski-dense affine open set in V). Its elements f are considered as regular functions in the sense of algebraic geometry on non-empty open sets U, and also may be seen as morphisms to the projective line.

Applications

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Rational functions are used in numerical analysis for interpolation and approximation of functions, for example the Padé approximants introduced by Henri Padé. Approximations in terms of rational functions are well suited for computer algebra systems and other numerical software. Like polynomials, they can be evaluated straightforwardly, and at the same time they express more diverse behavior than polynomials.

Rational functions are used to approximate or model more complex equations in science and engineering including fields and forces in physics, spectroscopy in analytical chemistry, enzyme kinetics in biochemistry, electronic circuitry, aerodynamics, medicine concentrations in vivo, wave functions for atoms and molecules, optics and photography to improve image resolution, and acoustics and sound.[citation needed]

In signal processing, the Laplace transform (for continuous systems) or the z-transform (for discrete-time systems) of the impulse response of commonly used linear time-invariant systems (filters) with infinite impulse response are rational functions over complex numbers.

See also

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References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
In , a rational function is defined as the ratio of two polynomials, f(x)=p(x)q(x)f(x) = \frac{p(x)}{q(x)}, where p(x)p(x) and q(x)q(x) are polynomials, and q(x)0q(x) \neq 0. This form encompasses a broad class of functions that generalize polynomials, with the domain consisting of all real numbers except the roots of q(x)q(x), where discontinuities or asymptotes may occur. The behavior of rational functions is characterized by their , which describe limits at or near points of discontinuity. Vertical asymptotes arise at the zeros of the denominator q(x)q(x) (provided they are not also zeros of the numerator), where the function approaches positive or negative . Horizontal asymptotes depend on the degrees of p(x)p(x) and q(x)q(x): if the degree of the numerator is less than the denominator, the horizontal asymptote is the x-axis (y=0y = 0); if equal, it is y=anbmy = \frac{a_n}{b_m} where ana_n and bmb_m are leading coefficients; and if the numerator's degree exceeds the denominator's by one, a slant (oblique) asymptote exists, found via . These properties make graphing rational functions a systematic process involving intercepts, , and around asymptotes. Rational functions play a central role in , , and , facilitating techniques such as for integrating complex expressions. They model real-world scenarios involving rates, such as work problems (e.g., combined labor rates as 1a+1b\frac{1}{a} + \frac{1}{b}), and time variations, and inverse relationships like electrical resistance in parallel circuits. In advanced applications, they appear in and for filtering and system analysis.

Fundamentals

Definition

In , a rational function is a of two polynomials with coefficients in a field, such as the rational numbers Q\mathbb{Q}, real numbers R\mathbb{R}, or complex numbers C\mathbb{C}. It is formally denoted as R(x)=P(x)Q(x)R(x) = \frac{P(x)}{Q(x)}, where P(x)P(x) and Q(x)Q(x) are polynomials over the field and Q(x)≢0Q(x) \not\equiv 0. This structure positions rational functions as elements of the field of fractions of the polynomial ring over the base field. The domain of R(x)R(x) comprises all elements of the base field for which Q(x)0Q(x) \neq 0, thereby excluding the roots of the denominator . Polynomials serve as the foundational building blocks for this construction, assuming familiarity with their properties as sums of terms aixia_i x^i. Explicitly, such a function takes the form R(x)=i=0maixij=0nbjxj,R(x) = \frac{\sum_{i=0}^m a_i x^i}{\sum_{j=0}^n b_j x^j}, where the ai,bja_i, b_j lie in the base field and the leading bn0b_n \neq 0 ensures Q(x)Q(x) is of degree nn. The notion of rational functions originated in 17th-century algebraic studies by and contemporaries, who employed ratios of expressions in geometric and analytic contexts, and was later formalized in the development of abstract field theory during the early .

Basic Examples

A rational function is exemplified by the simplest case of a constant divided by another constant, such as f(x)=32f(x) = \frac{3}{2}, which represents a horizontal line at y=1.5y = 1.5 across the real line, excluding points where the denominator is zero (though here it is never zero)./03%3A_Polynomial_and_Rational_Functions/3.07%3A_Rational_Functions) More generally, linear over linear forms like f(x)=2x+1x3f(x) = \frac{2x + 1}{x - 3} illustrate a basic non-constant rational function, where the graph typically approaches a horizontal but shifts vertically due to the linear terms. A quadratic over linear example, such as f(x)=x24x+2f(x) = \frac{x^2 - 4}{x + 2}, shows how higher-degree numerators can create functions with multiple branches or steeper curvatures in their plots./03%3A_Polynomial_and_Rational_Functions/3.07%3A_Rational_Functions) Graphically, the archetypal rational function f(x)=1xf(x) = \frac{1}{x} produces a symmetric about the origin, with branches in the first and third quadrants approaching the axes but never crossing them./03%3A_Polynomial_and_Rational_Functions/3.07%3A_Rational_Functions) Piecewise rational functions, like those approximating step functions through limits of ratios, can mimic discontinuous behaviors while remaining smooth where defined. Rational functions are classified as proper if the degree of the numerator polynomial is less than that of the denominator, such as x+1x2+1\frac{x+1}{x^2 + 1}, or improper otherwise, where the numerator degree is greater than or equal to the denominator's, like x2+1x1\frac{x^2 + 1}{x - 1}, which can be expressed as a polynomial plus a proper rational function. A non-trivial example arises in generating functions, where the ordinary generating function for the Fibonacci sequence, defined by F0=0F_0 = 0, F1=1F_1 = 1, and Fn=Fn1+Fn2F_n = F_{n-1} + F_{n-2} for n2n \geq 2, is the rational function n=0Fnxn=x1xx2\sum_{n=0}^{\infty} F_n x^n = \frac{x}{1 - x - x^2}.

Algebraic Properties

Operations and Simplification

Rational functions, being ratios of polynomials, support the standard arithmetic operations analogous to those for fractions, provided the denominators are nonzero where defined. Multiplication of two rational functions P1Q1\frac{P_1}{Q_1} and P2Q2\frac{P_2}{Q_2} yields P1P2Q1Q2\frac{P_1 P_2}{Q_1 Q_2}, where P1,P2,Q1,Q2P_1, P_2, Q_1, Q_2 are polynomials. Division is performed by multiplying the first by the reciprocal of the second, resulting in P1Q1÷P2Q2=P1Q2Q1P2\frac{P_1}{Q_1} \div \frac{P_2}{Q_2} = \frac{P_1 Q_2}{Q_1 P_2}, excluding points where P2=0P_2 = 0. Addition and subtraction require a common denominator. For P1Q1+P2Q2\frac{P_1}{Q_1} + \frac{P_2}{Q_2}, the sum is P1Q2+P2Q1Q1Q2\frac{P_1 Q_2 + P_2 Q_1}{Q_1 Q_2}, with the least common denominator used to minimize complexity when Q1Q_1 and Q2Q_2 differ. For instance, 1x1+2x+1=(x+1)+2(x1)(x1)(x+1)=3x1x21\frac{1}{x-1} + \frac{2}{x+1} = \frac{(x+1) + 2(x-1)}{(x-1)(x+1)} = \frac{3x-1}{x^2 - 1}. Simplification involves factoring the numerator and denominator to cancel common factors, reducing the expression to lowest terms while noting any restrictions from the original denominator. For example, x21x1=(x1)(x+1)x1=x+1\frac{x^2 - 1}{x - 1} = \frac{(x-1)(x+1)}{x-1} = x + 1 for x1x \neq 1, introducing a removable discontinuity at x=1x = 1. Two rational functions PQ\frac{P}{Q} and RS\frac{R}{S} are equal if PS=QRP S = Q R as polynomials, or equivalently, if they agree on an of points in their common domain. The composition of a rational function r(x)=P(x)Q(x)r(x) = \frac{P(x)}{Q(x)} with another function g(x)g(x), such as a or rational function, is r(g(x))=P(g(x))Q(g(x))r(g(x)) = \frac{P(g(x))}{Q(g(x))}, defined where Q(g(x))0Q(g(x)) \neq 0 and g(x)g(x) is in the domain of rr.

Degree and Partial Fraction Decomposition

The degree of a rational function R(x)=P(x)Q(x)R(x) = \frac{P(x)}{Q(x)}, where P(x)P(x) and Q(x)Q(x) are with no common factors, is determined by comparing the degrees of the numerator and denominator. A rational function is proper if degP<degQ\deg P < \deg Q, and improper if degPdegQ\deg P \geq \deg Q. The behavior of R(x)R(x) as xx \to \infty or xx \to -\infty depends on this comparison: if degP<degQ\deg P < \deg Q, then R(x)0R(x) \to 0, yielding a horizontal asymptote at y=0y = 0; if degP=degQ\deg P = \deg Q, then R(x)R(x) approaches the ratio of the leading coefficients, giving a horizontal asymptote at that value; and if degP>degQ\deg P > \deg Q, the function grows without bound, with no horizontal asymptote. For improper rational functions, reduces the expression to a plus a proper fraction. Specifically, R(x)=S(x)+T(x)Q(x)R(x) = S(x) + \frac{T(x)}{Q(x)}, where S(x)S(x) is the and degT<degQ\deg T < \deg Q. This decomposition separates the polynomial growth from the fractional part, facilitating further analysis; as x±x \to \pm \infty, the T(x)Q(x)0\frac{T(x)}{Q(x)} \to 0, so the end behavior is dominated by S(x)S(x). Partial fraction decomposition expresses a proper rational function R(x)=P(x)Q(x)R(x) = \frac{P(x)}{Q(x)} as a sum of simpler fractions, assuming Q(x)Q(x) factors into distinct linear and irreducible quadratic factors over the reals. For example, if Q(x)=(xa)(x2+bx+c)Q(x) = (x - a)(x^2 + bx + c) with x2+bx+cx^2 + bx + c irreducible, then R(x)=Axa+Bx+Cx2+bx+c,R(x) = \frac{A}{x - a} + \frac{Bx + C}{x^2 + bx + c}, where A,B,CA, B, C are constants to be determined. For repeated factors, additional terms with increasing powers in the denominator are included, such as Axa+B(xa)2\frac{A}{x - a} + \frac{B}{(x - a)^2} for a squared linear factor. This technique simplifies operations like addition and prepares the function for other algebraic manipulations. To find the coefficients in the decomposition, two primary methods are used: the method of undetermined coefficients and the Heaviside cover-up method. In undetermined coefficients, the equation is cleared of denominators and expanded, then coefficients of corresponding powers of xx are equated to solve the resulting linear system. The Heaviside cover-up method, applicable to distinct linear factors, finds each coefficient by covering the corresponding factor in the denominator and evaluating the remaining numerator over the other factors at the root of the covered factor; for instance, in P(s)(sa1)(sa2)=A1sa1+A2sa2\frac{P(s)}{(s - a_1)(s - a_2)} = \frac{A_1}{s - a_1} + \frac{A_2}{s - a_2}, A1A_1 is obtained by substituting s=a1s = a_1 after covering (sa1)(s - a_1). The partial fraction decomposition of a proper rational function is unique up to the ordering of terms. This uniqueness follows from the fact that the vector space of rational functions with denominator dividing Q(x)Q(x) has a basis given by the partial fraction terms, ensuring a one-to-one correspondence.

Analytic Properties

Poles, Zeros, and Continuity

The zeros of a rational function r(z)=P(z)Q(z)r(z) = \frac{P(z)}{Q(z)}, where PP and QQ are polynomials with no common factors, are the roots of the numerator polynomial P(z)=0P(z) = 0. The multiplicity, or order, of a zero at a point α\alpha is the highest integer kk such that (zα)k(z - \alpha)^k divides P(z)P(z), equivalently the lowest order derivative of PP that is nonzero at α\alpha. For example, in r(z)=(z1)2(z2)z+3r(z) = \frac{(z-1)^2 (z-2)}{z+3}, there is a zero of order 2 at z=1z=1 and a simple zero (order 1) at z=2z=2. The poles of r(z)r(z) occur at the roots of the denominator Q(z)=0Q(z) = 0, where the function is undefined. The order of a pole at α\alpha is the multiplicity kk of α\alpha as a zero of Q(z)Q(z), or algebraically, the valuation vα(Q)=kv_{\alpha}(Q) = k, the highest power of (zα)(z - \alpha) dividing Q(z)Q(z). Rational functions exhibit only pole singularities (no essential singularities), with simple poles for multiplicity 1 and higher-order poles otherwise; for instance, r(z)=1(z1)3r(z) = \frac{1}{(z-1)^3} has a pole of order 3 at z=1z=1. If PP and QQ share a common root at α\alpha of multiplicity at least kk, canceling the factor (zα)k(z - \alpha)^k results in a removable singularity at α\alpha, where the limit limzαr(z)\lim_{z \to \alpha} r(z) exists and is finite, allowing extension to a holomorphic function there. Rational functions are continuous (and in fact holomorphic) at every point in their domain, which excludes the poles. Over the reals, this means r(x)r(x) is continuous on R\mathbb{R} minus the real poles. In the complex plane, rational functions are meromorphic, holomorphic everywhere except at their poles, where they have isolated singularities. After removing any removable singularities by simplification, the resulting function remains continuous and holomorphic on its extended domain.

Asymptotes and Limits

Rational functions exhibit distinct limiting behaviors as the input approaches infinity or specific finite points, which are characterized by s. These s provide insight into the long-term graph behavior and are determined by the degrees of the numerator and denominator polynomials. For a rational function R(x)=P(x)Q(x)R(x) = \frac{P(x)}{Q(x)}, where PP and QQ are polynomials with degrees nn and mm respectively, the limit as xx \to \infty (or xx \to -\infty) depends on the relationship between nn and mm. If n<mn < m, then limx±R(x)=0\lim_{x \to \pm \infty} R(x) = 0, resulting in a horizontal at y=0y = 0. If n=mn = m, the limit is the ratio of the leading coefficients, limx±R(x)=anbm\lim_{x \to \pm \infty} R(x) = \frac{a_n}{b_m}, yielding a horizontal at y=anbmy = \frac{a_n}{b_m}. If n>m+1n > m + 1, the limit is ±\pm \infty, and no horizontal exists. When n=m+1n = m + 1, the function approaches a non-horizontal linear , known as an oblique or slant asymptote. To find this, perform of P(x)P(x) by Q(x)Q(x), expressing R(x)=ax+b+r(x)Q(x)R(x) = ax + b + \frac{r(x)}{Q(x)}, where aa and bb are constants from the , and the degree of r(x)r(x) is less than mm. As x±x \to \pm \infty, the remainder term r(x)Q(x)0\frac{r(x)}{Q(x)} \to 0, so the slant asymptote is the line y=ax+by = ax + b. For example, consider R(x)=x2+1xR(x) = \frac{x^2 + 1}{x}. Dividing gives R(x)=x+1xR(x) = x + \frac{1}{x}, so the slant asymptote is y=xy = x, and limx±(R(x)x)=0\lim_{x \to \pm \infty} \left( R(x) - x \right) = 0. Rational functions do not have curvilinear asymptotes. In general, when the degree of the numerator nn is greater than or equal to the degree of the denominator mm, the function can be decomposed via into a of degree nmn - m plus a proper rational function that approaches 0 as x±x \to \pm \infty. Thus, the asymptote at is this : linear (slant) when n=m+1n = m + 1, constant when n=mn = m (horizontal, non-zero), and higher-degree when n>m+1n > m + 1. Vertical asymptotes occur at finite points where the denominator Q(x)Q(x) equals zero but the numerator P(x)P(x) does not, leading to infinite limits. Specifically, if Q(a)=0Q(a) = 0 and P(a)0P(a) \neq 0, then limxaR(x)=±\lim_{x \to a} R(x) = \pm \infty, depending on the sign changes from left and right. For instance, in R(x)=3x4R(x) = \frac{3}{x-4}, there is a vertical at x=4x = 4, as limx4R(x)=\lim_{x \to 4^-} R(x) = -\infty and limx4+R(x)=+\lim_{x \to 4^+} R(x) = +\infty. These points correspond to poles of the function, where the limit diverges. At finite points where both P(a)=0P(a) = 0 and Q(a)=0Q(a) = 0, the limit may be indeterminate, often of the form 00\frac{0}{0}. In such cases, applies: if limxaR(x)\lim_{x \to a} R(x) is 00\frac{0}{0} or \frac{\infty}{\infty}, and the derivatives P(x)P'(x) and Q(x)Q'(x) exist, then limxaR(x)=limxaP(x)Q(x)\lim_{x \to a} R(x) = \lim_{x \to a} \frac{P'(x)}{Q'(x)}, provided the latter limit exists. This rule simplifies the evaluation by reducing the degrees after differentiation. For rational functions, repeated application may be needed until the form is resolvable, revealing finite limits or confirming divergence.

Series Expansions

Rational functions, being meromorphic, admit expansions at points where they are analytic, that is, away from their poles. For a rational function R(x)=P(x)Q(x)R(x) = \frac{P(x)}{Q(x)} with polynomials PP and QQ coprime and Q(a)0Q(a) \neq 0, the Taylor series around aa is given by R(x)=k=0R(k)(a)k!(xa)k,R(x) = \sum_{k=0}^{\infty} \frac{R^{(k)}(a)}{k!} (x - a)^k, converging in the disk xa<d|x - a| < d, where dd is the distance from aa to the nearest pole of RR. These coefficients can be computed either by successive differentiation of RR or, more efficiently for rational functions, via polynomial long division of the power series expansions of PP and QQ, or through partial fraction decomposition to sum geometric series. A simple example is the rational function R(x)=11xR(x) = \frac{1}{1 - x}, which has a pole at x=1x = 1. Its Taylor series around a=0a = 0 is the geometric series 11x=n=0xn,x<1.\frac{1}{1 - x} = \sum_{n=0}^{\infty} x^n, \quad |x| < 1. This expansion arises directly from the formula for the sum of an infinite geometric series and matches the first infinitely many Taylor coefficients at 0. Padé approximants offer an alternative series expansion method, constructing a rational function [m/n][m/n] of numerator degree mm and denominator degree nn that matches the first m+n+1m + n + 1 terms of the Taylor series of a given function more accurately than a Taylor polynomial of comparable total degree, particularly for functions with nearby singularities. Introduced by Henri Padé in his 1892 thesis, these approximants are especially useful for rational functions or other meromorphic functions, as they can capture pole structures better than pure power series; for instance, the [2/2] Padé approximant to exe^x provides a superior approximation to the exponential outside the unit disk compared to the degree-4 Taylor polynomial. To obtain a series expansion of a rational function R(x)R(x) at infinity, substitute z=1/xz = 1/x to form R(1/z)R(1/z), which is analytic at z=0z = 0 if the degree of the denominator exceeds that of the numerator by at least one (or after factoring out the leading behavior otherwise). The Taylor series of R(1/z)R(1/z) around z=0z = 0 then yields the Laurent series of R(x)R(x) in negative powers of xx, converging for x>R|x| > R, where RR is determined by the poles. In the theory of s, a rational function serves as the ordinary G(x)=n=0anxn=P(x)Q(x)G(x) = \sum_{n=0}^{\infty} a_n x^n = \frac{P(x)}{Q(x)} for a {an}\{a_n\} the satisfies a linear homogeneous with constant coefficients, whose characteristic equation is given by the denominator QQ. The order of the equals the degree of QQ, and explicit solutions for ana_n follow from of G(x)G(x), yielding terms like cknrkρknc_k n^{r_k} \rho_k^n for ρk\rho_k of QQ of multiplicity rk+1r_k + 1.

Generalizations

Over Complex Numbers

A rational function over the complex numbers is defined analogously to the real case, as the quotient R(z)=P(z)Q(z)R(z) = \frac{P(z)}{Q(z)} where PP and QQ are polynomials with complex coefficients and Q≢0Q \not\equiv 0. Such functions extend naturally to on the extended C^=C{}\hat{\mathbb{C}} = \mathbb{C} \cup \{\infty\}, known as the , where the point at infinity is handled via . On the , every is precisely a rational function, with poles at the roots of Q(z)Q(z) (counting multiplicities) and possibly at infinity if the degree of PP exceeds that of QQ. The singularities of a complex rational function are exclusively poles of finite order; there are no essential singularities. This follows from the fact that near a pole at z=az = a, where Q(a)=0Q(a) = 0 but QQ has a zero of finite multiplicity mm, the expansion of R(z)R(z) has a principal part consisting of finitely many negative powers, up to (za)m(z - a)^{-m}, followed by a regular for the holomorphic part. For example, if m=1m = 1, the expansion is R(z)=c1za+n=0cn(za)nR(z) = \frac{c_{-1}}{z - a} + \sum_{n=0}^{\infty} c_n (z - a)^n, where the residue c1c_{-1} captures the of the simple pole term. For a simple pole at z=az = a, where Q(a)=0Q(a) = 0 and Q(a)0Q'(a) \neq 0, the residue is given by Resz=aR(z)=limza(za)R(z)=P(a)Q(a),\operatorname{Res}_{z=a} R(z) = \lim_{z \to a} (z - a) R(z) = \frac{P(a)}{Q'(a)}, assuming P(a)0P(a) \neq 0. This formula arises directly from the and is fundamental for evaluating contour integrals via the . In general, for higher-order poles, residues can be computed using the general formula involving derivatives, but the simple case highlights the algebraic simplicity of rational functions. The argument principle provides a powerful tool for analyzing the global distribution of of rational functions. For a like R(z)R(z) on a contour γ\gamma enclosing a region in C\mathbb{C}, the principle states that 12πiγR(z)R(z)dz=NP,\frac{1}{2\pi i} \int_\gamma \frac{R'(z)}{R(z)} \, dz = N - P, where NN is the number of zeros inside γ\gamma (counting multiplicities) and PP is the number of poles inside γ\gamma (counting orders). For rational functions, applying this to large contours enclosing all finite singularities reveals that the total number of zeros equals the total number of poles (including at infinity), reflecting the degree balance on the . This contour integral approach thus quantifies the zero-pole structure without explicit root-finding.

In Abstract Algebra

In abstract algebra, the rational function field over a field KK, denoted K(x)K(x), is the field of fractions of the KK, consisting of all quotients f/gf/g where f,gKf, g \in K and g0g \neq 0, with equality defined by f/g=f/gf/g = f'/g' fgfg=0fg' - f'g = 0. This construction makes K(x)K(x) a of KK, specifically a simple generated by the indeterminate xx, which is transcendental over KK. A key property of K(x)K(x) is its transcendence degree of 1 over KK, meaning that {x}\{x\} forms a transcendence basis, and any larger algebraically independent set would exceed this degree. The polynomial ring KK is a under the degree function, enabling the to compute greatest common divisors (gcd) of polynomials efficiently; this extends to K(x)K(x) by clearing denominators to reduce gcd computations of rational functions to those in KK, up to units in K×K^\times. Additionally, K(x)K(x) admits a rich structure of discrete valuations, corresponding to the irreducible elements of KK: for a monic irreducible polynomial p(x)Kp(x) \in K, the pp-adic valuation vpv_p on K(x)K(x) is defined by vp(f/g)=vp(f)vp(g)v_p(f/g) = v_p(f) - v_p(g), where vp(h)v_p(h) is the highest power of pp dividing hKh \in K, yielding a K(p)K_{(p)} with generated by pp. Every discrete valuation on K(x)K(x) is equivalent to either such a vpv_p or the valuation at , v(f/g)=deggdegfv_\infty(f/g) = \deg g - \deg f. From an algebraic perspective, rational maps between varieties can be viewed through function fields: a rational map from an integral variety XX with function field K(X)K(X) to another YY with K(Y)K(Y) induces a field homomorphism K(Y)K(X)K(Y) \to K(X) over KK, defined on a dense open subset where the map is regular. For the affine line AK1\mathbb{A}^1_K with function field K(x)K(x), such maps are precisely given by elements of K(x)K(x). A concrete example is the rational function field Q(x)\mathbb{Q}(x) over Q\mathbb{Q}, which serves as the function field of the affine line over Q\mathbb{Q} and illustrates transcendence degree 1, as xx satisfies no polynomial equation with coefficients in Q\mathbb{Q}.

On Algebraic Varieties

In algebraic geometry, a rational function on an algebraic variety XX over a field kk is defined as a ratio f=g/hf = g/h, where gg and hh are regular functions on some nonempty open affine subset UXU \subseteq X with h0h \neq 0 on UU, such that this representation is independent of the choice of UU and the regular functions up to multiplication by units. For an affine variety XAnX \subseteq \mathbb{A}^n, this corresponds to elements of the field of fractions of the coordinate ring k[X]=k[x1,,xn]/I(X)k[X] = k[x_1, \dots, x_n]/I(X), where two fractions ϕ1/ψ1ϕ2/ψ2\phi_1/\psi_1 \sim \phi_2/\psi_2 if ϕ1ψ2ψ1ϕ2I(X)\phi_1 \psi_2 - \psi_1 \phi_2 \in I(X). On a projective variety XPnX \subseteq \mathbb{P}^n, rational functions are quotients of homogeneous polynomials of the same degree in the variables z0,,znz_0, \dots, z_n with the denominator not in the ideal I(X)I(X), ensuring well-definedness independent of homogeneous coordinates where the denominator vanishes. For an irreducible variety XX, the set of all rational functions forms the function field k(X)k(X), which is the fraction field of the ring of regular functions on any open affine subset of XX. This field k(X)k(X) captures the birational invariants of XX and generalizes the field of rational functions in one variable to higher dimensions. Rational functions on XX are thus partially defined, regular on a dense open set where the denominator does not vanish, unlike global regular functions which are defined everywhere. Poles of a rational function fk(X)f \in k(X)^* on an irreducible normal variety XX are associated with codimension-1 prime subvarieties ZZ, via the order ordZ(f)<0\operatorname{ord}_Z(f) < 0, which measures the multiplicity of the pole along ZZ. The principal divisor div(f)=ZordZ(f)Z\operatorname{div}(f) = \sum_Z \operatorname{ord}_Z(f) \cdot Z is a formal Z\mathbb{Z}-linear combination of these codimension-1 subvarieties, with only finitely many nonzero terms, and has degree zero. The divisor class group Cl(X)\operatorname{Cl}(X) is the quotient of the group of divisors by principal divisors, encoding information about line bundles on XX. Zeros correspond to ordZ(f)>0\operatorname{ord}_Z(f) > 0, balancing the poles in the divisor. Two irreducible varieties XX and YY are birationally equivalent if there exist dense open subsets UXU \subseteq X and VYV \subseteq Y such that the restrictions yield an , or equivalently, if their function fields k(X)k(X) and k(Y)k(Y) are isomorphic over kk. Rational maps between varieties are defined by rational functions and preserve function fields under birational equivalence, allowing of varieties up to "rational " where they agree on dense opens. A variety is rational if it is birationally equivalent to Pn\mathbb{P}^n, meaning k(X)k(x1,,xn)k(X) \cong k(x_1, \dots, x_n), a purely . For example, on the projective plane P2\mathbb{P}^2 over kk, the function field k(P2)k(\mathbb{P}^2) is isomorphic to k(x,y)k(x, y), the field of rational functions in two variables, generated by ratios like x/zx/z and y/zy/z in homogeneous coordinates [x:y:z][x:y:z]. A typical rational function is f=(x/y+z)/(xz+y2)f = (x/y + z)/ (x z + y^2), defined where the denominator vanishes on a codimension-1 subvariety (a conic), with poles along that curve. This illustrates how rational functions on P2\mathbb{P}^2 extend affine rational functions while accounting for points at infinity.

Applications

In Calculus and Integration

Rational functions play a fundamental role in calculus, particularly in differentiation and integration techniques. The derivative of a rational function R(x)=P(x)Q(x)R(x) = \frac{P(x)}{Q(x)}, where P(x)P(x) and Q(x)Q(x) are polynomials with Q(x)0Q(x) \neq 0, is computed using the quotient rule: R(x)=P(x)Q(x)P(x)Q(x)[Q(x)]2.R'(x) = \frac{P'(x) Q(x) - P(x) Q'(x)}{[Q(x)]^2}. This formula, derived from the product rule applied to P(x)[Q(x)]1P(x) \cdot [Q(x)]^{-1}, enables the differentiation of any rational function by first finding the derivatives of the numerator and denominator polynomials via the power rule. Integration of rational functions R(x)dx\int R(x) \, dx relies heavily on partial fraction decomposition, which expresses R(x)R(x) as a sum of simpler fractions. The resulting integrals typically yield elementary antiderivatives involving logarithms and arctangents. For instance, the partial fraction decomposition of 1x2+1\frac{1}{x^2 + 1} is itself, and its integral is arctanx+C\arctan x + C; more generally, linear factors contribute terms like Alnxa+CA \ln |x - a| + C, while irreducible quadratics yield arctangent forms such as Barctan(xbc)+CB \arctan\left( \frac{x - b}{c} \right) + C. This method ensures that integrals of proper rational functions (where the degree of the numerator is less than that of the denominator) reduce to standard forms. For definite integrals of rational functions over the real line, such as R(x)dx\int_{-\infty}^{\infty} R(x) \, dx, the residue theorem from complex analysis offers an efficient shortcut. By extending R(x)R(x) to a complex function and integrating over a semicircular contour in the upper half-plane, the integral equals 2πi2\pi i times the sum of residues at poles inside the contour, provided the integral over the arc vanishes as the radius grows. This links real calculus to complex methods, as seen in evaluating 1x2+1dx=π\int_{-\infty}^{\infty} \frac{1}{x^2 + 1} \, dx = \pi via the residue at z=iz = i. Substitution methods further aid integration of rational functions composed with linear fractional transformations, such as R(ax+bcx+d)dx\int R\left( \frac{ax + b}{cx + d} \right) \, dx. Setting t=ax+bcx+dt = \frac{ax + b}{cx + d} (with adbc0ad - bc \neq 0) transforms the integral into a rational function in tt, where dt=adbc(cx+d)2dxdt = \frac{ad - bc}{(cx + d)^2} dx, so dx=(cx+d)2adbcdtdx = \frac{(cx + d)^2}{ad - bc} \, dt. The term cx+dcx + d can be expressed in terms of tt, often simplifying to a form amenable to partial fractions. This technique, rooted in , handles expressions where direct partial fractions on the original variable are cumbersome. Historically, contributed significantly to the development of integral calculus in the late , laying the groundwork with his notation and the fundamental theorem. He further advanced methods for integrating rational functions in the early 18th century (around 1702–1703), providing a systematic approach to quadratures of rational expressions that influenced later developments.

In Engineering and Physics

In control theory, rational functions form the basis for transfer functions that model the input-output behavior of linear time-invariant systems in the Laplace domain, expressed as H(s)=P(s)Q(s)H(s) = \frac{P(s)}{Q(s)}, where P(s)P(s) and Q(s)Q(s) are polynomials in the complex variable ss. The poles of H(s)H(s), which are the roots of Q(s)=0Q(s) = 0, determine the natural modes of the system, influencing its transient response, stability, and oscillatory behavior; for instance, poles in the left half of the complex plane indicate stability. Pole-zero plots, visualizing these roots in the complex plane, provide a graphical tool for assessing system response characteristics and ensuring numerical stability during simulation and design, as proximity of poles to the imaginary axis can amplify sensitivities in computational models. In , rational functions describe the transfer functions of (IIR) filters in the z-domain for discrete-time systems, where the system function is H(z)=k=0Mbkzk1+k=1NakzkH(z) = \frac{\sum_{k=0}^{M} b_k z^{-k}}{1 + \sum_{k=1}^{N} a_k z^{-k}}, enabling efficient approximation of analog filters through methods like bilinear transformation. These filters are widely used in applications requiring sharp frequency selectivity, such as audio processing and communications, due to their ability to model recursive dynamics with fewer coefficients than alternatives. The placement of poles and zeros in the z-plane governs the filter's phase and magnitude response, with stability ensured by confining poles inside the unit circle. A practical example arises in electrical engineering with series RLC circuits, where the impedance as a function of angular frequency ω\omega is given by the rational expression Z(ω)=R+jωL+1jωCZ(\omega) = R + j\omega L + \frac{1}{j\omega C}, which simplifies to a ratio of polynomials in jωj\omega. This form reveals resonance at ω=1/LC\omega = 1/\sqrt{LC}
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