Partial Fraction Decomposition

In algebra, the partial fraction decomposition or partial fraction expansion of a rational fraction (that is, a fraction such that the numerator and the denominator are both polynomials) is an operation that consists of expressing the fraction as a sum of a polynomial (possibly zero) and one or several fractions with a simpler denominator.

The importance of the partial fraction decomposition lies in the fact that it provides algorithms for various computations with rational functions, including the explicit computation of antiderivatives, Taylor series expansions, inverse Z-transforms, and inverse Laplace transforms. The concept was discovered independently in 1702 by both Johann Bernoulli and Gottfried Leibniz.

In symbols, the ''partial fraction decomposition'' of a rational fraction of the form $\frac,$ where and are polynomials, is its expression as

$\frac=p(x) + \sum_j \frac$

where
is a polynomial, and, for each ,
the denominator is a power of an irreducible polynomial (that is not factorable into polynomials of positive degrees), and
the numerator is a polynomial of a smaller degree than the degree of this irreducible polynomial.

When explicit computation is involved, a coarser decomposition is often preferred, which consists of replacing "irreducible polynomial" by " square-free polynomial" in the description of the outcome. This allows replacing polynomial factorization by the much easier-to-compute square-free factorization. This is sufficient for most applications, and avoids introducing irrational coefficients when the coefficients of the input polynomials are integers or rational numbers.

Basic principles

Let
$R(x) = \frac FG$
be a rational fraction, where and are univariate polynomials in the indeterminate over a field. The existence of the partial fraction can be proved by applying inductively the following reduction steps.

Polynomial part

There exist two polynomials and such that
$\frac FG=E+\fracG,$
and
$\deg F_1 <\deg G,$
where $\deg P$ denotes the degree of the polynomial .

This results immediately from the Euclidean division of by , which asserts the existence of and such that $F = EG + F_1$ and $\deg F_1 < \deg G.$

This allows supposing in the next steps that $\deg F <\deg G.$

Factors of the denominator

If $\deg F < \deg G,$ and
$G = G_1 G_2,$
where and are coprime polynomials, then there exist polynomials $F_1$ and $F_2$ such that
$\frac FG=\frac+\frac,$
and
$\deg F_1 < \deg G_1\quad\text\quad\deg F_2 < \deg G_2.$

This can be proved as follows. Bézout's identity asserts the existence of polynomials and such that
$CG_1 + DG_2 = 1$
(by hypothesis, is a greatest common divisor of and ).

Let $DF=G_1Q+F_1$ with $\deg F_1 < \deg G_1$ be the Euclidean division of by $G_1.$ Setting $F_2=CF+QG_2,$ one gets
$\begin \frac FG&=\frac =\frac+\frac\\ &=\frac+\frac\\ &=\frac+\frac. \end$
It remains to show that $\deg F_2 < \deg G_2.$ By reducing the last sum of fractions to a common denominator, one gets
$F=F_2G_1+F_1G_2,$
and thus
$\begin \deg F_2 &=\deg(F-F_1G_2)-\deg G_1 \le \max(\deg F,\deg (F_1G_2))-\deg G_1\\ &< \max(\deg G,\deg(G_1G_2))-\deg G_1= \deg G_2 \end$

Powers in the denominator

Using the preceding decomposition inductively one gets fractions of the form $\frac F ,$ with $\deg F < \deg G^k= k\deg G,$ where is an irreducible polynomial. If , one can decompose further, by using that an irreducible polynomial is a square-free polynomial, that is, $1$ is a greatest common divisor of the polynomial and its derivative. If $G'$ is the derivative of , Bézout's identity provides polynomials and such that $CG + DG' = 1$ and thus $F=FCG+FDG'.$ Euclidean division of $FDG'$ by $G$ gives polynomials $H_k$ and $Q$ such that $FDG' = QG + H_k$ and $\deg H_k < \deg G.$ Setting $F_=FC+Q,$ one gets
$\frac F = \frac+\frac,$
with $\deg H_k <\deg G.$

Iterating this process with $\frac$ in place of $\frac F$ leads eventually to the following theorem.

Statement

The uniqueness can be proved as follows. Let . All together, and the have coefficients. The shape of the decomposition defines a linear map from coefficient vectors to polynomials of degree less than . The existence proof means that this map is surjective. As the two vector spaces have the same dimension, the map is also injective, which means uniqueness of the decomposition. By the way, this proof induces an algorithm for computing the decomposition through linear algebra.

If is field of complex numbers, the fundamental theorem of algebra implies that all have degree one, and all numerators $a_$ are constants. When is the field of real numbers, some of the may be quadratic, so, in the partial fraction decomposition, quotients of linear polynomials by powers of quadratic polynomials may also occur.

In the preceding theorem, one may replace "distinct irreducible polynomials" by " pairwise coprime polynomials that are coprime with their derivative". For example, the may be the factors of the square-free factorization of . When is the field of rational numbers, as it is typically the case in computer algebra, this allows to replace factorization by greatest common divisor computation for computing a partial fraction decomposition.

Application to symbolic integration

For the purpose of symbolic integration, the preceding result may be refined into

This reduces the computation of the antiderivative of a rational function to the integration of the last sum, which is called the ''logarithmic part'', because its antiderivative is a linear combination of logarithms.

There are various methods to compute decomposition in the Theorem. One simple way is called Hermite's method. First, ''b'' is immediately computed by Euclidean division of ''f'' by ''g'', reducing to the case where deg(''f'') < deg(''g''). Next, one knows deg(''c''_''ij'') < deg(''p''_''i''), so one may write each ''c_ij'' as a polynomial with unknown coefficients. Reducing the sum of fractions in the Theorem to a common denominator, and equating the coefficients of each power of ''x'' in the two numerators, one gets a system of linear equations which can be solved to obtain the desired (unique) values for the unknown coefficients.

Procedure

Given two polynomials $P(x)$ and $Q(x) = (x-\alpha_1)(x-\alpha_2) \cdots (x-\alpha_n)$, where the ''α''_''i'' are distinct constants and , explicit expressions for partial fractions can be obtained by supposing that
$\frac = \frac + \frac + \cdots + \frac$
and solving for the ''c''_''i'' constants, by substitution, by equating the coefficients of terms involving the powers of ''x'', or otherwise. (This is a variant of the method of undetermined coefficients. After both sides of the equation are multiplied by Q(x), one side of the equation is a specific polynomial, and the other side is a polynomial with undetermined coefficients. The equality is possible only when the coefficients of like powers of ''x'' are equal. This yields n equations in n unknowns, the c_k.)

A more direct computation, which is strongly related to Lagrange interpolation, consists of writing
$\frac = \sum_^n \frac\frac$
where $Q'$ is the derivative of the polynomial $Q$. The coefficients of $\tfrac$ are called the residues of ''f/g''.

This approach does not account for several other cases, but can be modified accordingly:

* If $\deg P \geq \deg Q,$ then it is necessary to perform the Euclidean division of ''P'' by ''Q'', using polynomial long division, giving with . Dividing by ''Q''(''x'') this gives $\frac = E(x) + \frac,$ and then seek partial fractions for the remainder fraction (which by definition satisfies ).
* If ''Q''(''x'') contains factors which are irreducible over the given field, then the numerator ''N''(''x'') of each partial fraction with such a factor ''F''(''x'') in the denominator must be sought as a polynomial with , rather than as a constant. For example, take the following decomposition over R: $\frac = \frac + \frac + \frac.$
* Suppose and , that is is a root of of multiplicity . In the partial fraction decomposition, the first powers of will occur as denominators of the partial fractions (possibly with a zero numerator). For example, if the partial fraction decomposition has the form $\frac = \frac = \frac + \frac + \cdots + \frac.$

Illustration

In an example application of this procedure, can be decomposed in the form

$\frac = \frac + \frac.$

Clearing denominators shows that . Expanding and equating the coefficients of powers of gives

Solving this system of linear equations for and yields . Hence,

$\frac = \frac + \frac.$

Residue method

Over the complex numbers, suppose ''f''(''x'') is a rational proper fraction, and can be decomposed into

$f(x) = \sum_i \left( \frac + \frac + \cdots + \frac \right).$

Let
$g_(x) = (x - x_i)^f(x),$
then according to the uniqueness of Laurent series, ''a''_''ij'' is the coefficient of the term in the Laurent expansion of ''g''_''ij''(''x'') about the point ''x''_''i'', i.e., its residue
$a_ = \operatorname(g_,x_i).$

This is given directly by the formula
$a_ = \frac 1 \lim_\frac \left((x-x_i)^ f(x)\right),$
or in the special case when ''x''_''i'' is a simple root,
$a_=\frac,$
when
$f(x)=\frac.$

Over the reals

Partial fractions are used in real-variable integral calculus to find real-valued antiderivatives of rational functions. Partial fraction decomposition of real rational functions is also used to find their Inverse Laplace transforms. For applications of partial fraction decomposition over the reals, see

* Application to symbolic integration, above
* Partial fractions in Laplace transforms

General result

Let ''f''(''x'') be any rational function over the real numbers. In other words, suppose there exist real polynomials functions ''p''(''x'') and ''q''(''x'') ≠ 0, such that
$f(x) = \frac$

By dividing both the numerator and the denominator by the leading coefficient of ''q''(''x''), we may assume without loss of generality that ''q''(''x'') is monic. By the fundamental theorem of algebra, we can write

$q(x) = (x-a_1)^\cdots(x-a_m)^(x^2+b_1x+c_1)^\cdots(x^2 + b_n x + c_n)^$

where ''a''₁,..., ''a''_''m'', ''b''₁,..., ''b''_''n'', ''c''₁,..., ''c''_''n'' are real numbers with ''b''_''i''² − 4''c''_''i'' < 0, and ''j''₁,..., ''j''_''m'', ''k''₁,..., ''k''_''n'' are positive integers. The terms (''x'' − ''a''_''i'') are the ''linear factors'' of ''q''(''x'') which correspond to real roots of ''q''(''x''), and the terms (''x''_''i''² + ''b''_''i''''x'' + ''c''_''i'') are the ''irreducible quadratic factors'' of ''q''(''x'') which correspond to pairs of complex conjugate roots of ''q''(''x'').

Then the partial fraction decomposition of ''f''(''x'') is the following:

$f(x) = \frac = P(x) + \sum_^m\sum_^ \frac + \sum_^n\sum_^ \frac$

Here, ''P''(''x'') is a (possibly zero) polynomial, and the ''A''_''ir'', ''B''_''ir'', and ''C''_''ir'' are real constants. There are a number of ways the constants can be found.

The most straightforward method is to multiply through by the common denominator ''q''(''x''). We then obtain an equation of polynomials whose left-hand side is simply ''p''(''x'') and whose right-hand side has coefficients which are linear expressions of the constants ''A''_''ir'', ''B''_''ir'', and ''C''_''ir''. Since two polynomials are equal if and only if their corresponding coefficients are equal, we can equate the coefficients of like terms. In this way, a system of linear equations is obtained which ''always'' has a unique solution. This solution can be found using any of the standard methods of linear algebra. It can also be found with limits (see Example 5).

Examples

Example 1

$f(x)=\frac$

Here, the denominator splits into two distinct linear factors:

$q(x)=x^2+2x-3=(x+3)(x-1)$

so we have the partial fraction decomposition

$f(x)=\frac =\frac+\frac$

Multiplying through by the denominator on the left-hand side gives us the polynomial identity

$1=A(x-1)+B(x+3)$

Substituting ''x'' = −3 into this equation gives ''A'' = −1/4, and substituting ''x'' = 1 gives ''B'' = 1/4, so that

$f(x) =\frac =\frac\left(\frac+\frac\right)$

Example 2

$f(x)=\frac$

After long division, we have

$f(x)=1+\frac=1+\frac$

The factor ''x''² − 4''x'' + 8 is irreducible over the reals, as its discriminant is negative. Thus the partial fraction decomposition over the reals has the shape

$\frac=\frac+\frac$

Multiplying through by ''x''³ − 4''x''² + 8''x'', we have the polynomial identity

$4x^2-8x+16 = A \left(x^2-4x+8\right) + \left(Bx+C\right)x$

Taking ''x'' = 0, we see that 16 = 8''A'', so ''A'' = 2. Comparing the ''x''² coefficients, we see that 4 = ''A'' + ''B'' = 2 + ''B'', so ''B'' = 2. Comparing linear coefficients, we see that −8 = −4''A'' + ''C'' = −8 + ''C'', so ''C'' = 0. Altogether,

$f(x)=1+2\left(\frac+\frac\right)$

The fraction can be completely decomposed using complex numbers. According to the fundamental theorem of algebra every complex polynomial of degree ''n'' has ''n'' (complex) roots (some of which can be repeated). The second fraction can be decomposed to:

$\frac=\frac+\frac$

Multiplying through by the denominator gives:

$x=D(x-(2-2i))+E(x-(2+2i))$

Equating the coefficients of and the constant (with respect to ) coefficients of both sides of this equation, one gets a system of two linear equations in and , whose solution is

$D=\frac=\frac, \qquad E=\frac=\frac.$

Thus we have a complete decomposition:

$f(x)=\frac=1+\frac+\frac+\frac$

One may also compute directly and with the residue method (see also example 4 below).

Example 3

This example illustrates almost all the "tricks" we might need to use, short of consulting a computer algebra system.

$f(x)=\frac$

After long division and factoring the denominator, we have

$f(x)=x^2+3x+4+\frac$

The partial fraction decomposition takes the form

$\frac = \frac+\frac+\frac+\frac+\frac.$

Multiplying through by the denominator on the left-hand side we have the polynomial identity

\begin
&2x^6 - 4x^5 + 5x^4 - 3x^3 + x^2 + 3x \\ pt
=&A\left(x-1\right)^2 \left(x^2+1\right)^2+B\left(x-1\right)\left(x^2+1\right)^2 +C\left(x^2+1\right)^2 + \left(Dx+E\right)\left(x-1\right)^3\left(x^2+1\right)+\left(Fx+G\right)\left(x-1\right)^3
\end

Now we use different values of ''x'' to compute the coefficients:

$\begin 4 = 4C & x =1 \\ 2 + 2i = (Fi + G) (2+ 2i) & x = i \\ 0 = A- B +C - E - G & x = 0 \end$

Solving this we have:

$\begin C = 1 \\ F =0, G =1 \\ E = A-B\end$

Using these values we can write:

\begin
&2x^6-4x^5+5x^4-3x^3+x^2+3x \\ pt=& A\left(x-1\right)^2 \left(x^2+1\right)^2 + B\left(x-1\right)\left(x^2+1\right)^2 + \left(x^2 + 1\right)^2 + \left(Dx + \left(A-B\right)\right)\left(x-1\right)^3 \left(x^2+1\right) + \left(x-1\right)^3 \\ pt=& \left(A + D\right) x^6 + \left(-A - 3D\right) x^5 + \left(2B + 4D + 1\right) x^4 + \left(-2B - 4D + 1\right) x^3 + \left(-A + 2B + 3D - 1\right) x^2 + \left(A - 2B - D + 3\right) x
\end

We compare the coefficients of ''x''⁶ and ''x''⁵ on both side and we have:

$\begin A+D=2 \\ -A-3D = -4 \end \quad \Rightarrow \quad A= D = 1.$

Therefore:

$2x^6-4x^5+5x^4-3x^3+x^2+3x = 2x^6 -4x^5 + (2B + 5) x^4 + (-2B - 3) x^3 + (2B +1) x^2 + (- 2B + 3) x$

which gives us ''B'' = 0. Thus the partial fraction decomposition is given by:

$f(x)=x^2+3x+4+\frac + \frac + \frac+\frac.$

Alternatively, instead of expanding, one can obtain other linear dependences on the coefficients computing some derivatives at $x = 1, \imath$ in the above polynomial identity. (To this end, recall that the derivative at ''x'' = ''a'' of (''x'' − ''a'')^''m''''p''(''x'') vanishes if ''m'' > 1 and is just ''p''(''a'') for ''m'' = 1.) For instance the first derivative at ''x'' = 1 gives

$2\cdot6-4\cdot5+5\cdot4-3\cdot3+2+3 = A\cdot(0+0) + B\cdot( 4+ 0) + 8 + D\cdot0$

that is 8 = 4''B'' + 8 so ''B'' = 0.

Example 4 (residue method)

$f(z)=\frac=\frac$

Thus, ''f''(''z'') can be decomposed into rational functions whose denominators are ''z''+1, ''z''−1, ''z''+i, ''z''−i. Since each term is of power one, −1, 1, −''i'' and ''i'' are simple poles.

Hence, the residues associated with each pole, given by
$\frac = \frac,$
are
$1, -1, \tfrac, -\tfrac,$
respectively, and

$f(z)=\frac-\frac+\frac\frac-\frac\frac.$

Example 5 (limit method)

Limits can be used to find a partial fraction decomposition. Consider the following example:

$\frac$

First, factor the denominator which determines the decomposition:

$\frac = \frac = \frac + \frac.$

Multiplying everything by $x-1$, and taking the limit when $x \to 1$, we get

$\lim_ \left((x-1)\left ( \frac + \frac \right )\right) = \lim_ A + \lim_\frac =A.$

On the other hand,

$\lim_ \frac = \lim_\frac = \frac13,$

and thus:

$A = \frac.$

Multiplying by and taking the limit when $x \to \infty$, we have

$\lim_ x\left( \frac + \frac \right )= \lim_ \frac + \lim_ \frac= A+B,$

and

$\lim_ \frac =0.$

This implies and so $B = -\frac$.

For , we get $-1 = -A + C,$ and thus $C = -\tfrac$.

Putting everything together, we get the decomposition

$\frac = \frac \left( \frac + \frac \right ).$

Example 6 (integral)

Suppose we have the indefinite integral:

$\int \frac \,dx$

Before performing decomposition, it is obvious we must perform polynomial long division and factor the denominator. Doing this would result in:

$\int \left(x^2 + 3 + \frac\right) dx$

Upon this, we may now perform partial fraction decomposition.

$\int \left(x^2+3+ \frac\right) dx = \int \left(x^2+3+ \frac+\frac\right) dx$
so:
$A(x-1)+B(x+2)=-3x+7$.
Upon substituting our values, in this case, where x=1 to solve for B and x=-2 to solve for A, we will result in:

$A=\frac \ , B=\frac$

Plugging all of this back into our integral allows us to find the answer:

$\int \left(x^2+3+ \frac+\frac\right) \,dx = \frac \ + 3x-\frac \ln(, x+2, )+\frac \ln(, x-1, )+C$

The role of the Taylor polynomial

The partial fraction decomposition of a rational function can be related to Taylor's theorem as follows. Let

$P(x), Q(x), A_1(x),\ldots, A_r(x)$

be real or complex polynomials
assume that

$Q=\prod_^(x-\lambda_j)^,$

satisfies
$\deg A_1<\nu_1, \ldots, \deg A_r<\nu_r, \quad \text \quad \deg(P)<\deg(Q)=\sum_^\nu_j.$

Also define

$Q_i=\prod_(x-\lambda_j)^=\frac, \qquad 1 \leqslant i \leqslant r.$

Then we have

$\frac=\sum_^\frac$

if, and only if, each polynomial $A_i(x)$ is the Taylor polynomial of $\tfrac$ of order $\nu_i-1$ at the point $\lambda_i$:

$A_i(x):=\sum_^ \frac\left(\frac\right)^(\lambda_i)\ (x-\lambda_i)^k.$

Taylor's theorem (in the real or complex case) then provides a proof of the existence and uniqueness of the partial fraction decomposition, and a characterization of the coefficients.

Sketch of the proof

The above partial fraction decomposition implies, for each 1 ≤ ''i'' ≤ ''r'', a polynomial expansion

$\frac=A_i + O((x-\lambda_i)^), \qquad \text x\to\lambda_i,$

so $A_i$ is the Taylor polynomial of $\tfrac$, because of the unicity of the polynomial expansion of order $\nu_i-1$, and by assumption $\deg A_i<\nu_i$.

Conversely, if the $A_i$ are the Taylor polynomials, the above expansions at each $\lambda_i$ hold, therefore we also have

$P-Q_i A_i = O((x-\lambda_i)^), \qquad \text x\to\lambda_i,$

which implies that the polynomial $P-Q_iA_i$ is divisible by $(x-\lambda_i)^.$

For $j\neq i, Q_jA_j$ is also divisible by $(x-\lambda_i)^$, so

$P- \sum_^Q_jA_j$

is divisible by $Q$. Since

$\deg\left( P- \sum_^Q_jA_j \right) < \deg(Q)$

we then have

$P- \sum_^Q_jA_j=0,$

and we find the partial fraction decomposition dividing by $Q$.

Fractions of integers

The idea of partial fractions can be generalized to other integral domains, say the ring of integers where prime numbers take the role of irreducible denominators. For example:

$\frac = \frac - \frac - \frac.$

Notes

References

*
*
*
*
*
*
*
*
*
*
*
*
*

External links

*
*

Make partial fraction decompositions
with Scilab.

{{Authority control

Algebra
Elementary algebra
Partial fractions