Partial Fraction Decomposition Calculator

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Enter coefficients and roots.

Why Decompose?

Partial fraction decomposition rewrites a rational function as the sum of simpler fractions. For example, ax+b(xβˆ’r_1)(xβˆ’r_2) becomes Axβˆ’r_1+Bxβˆ’r_2. This technique simplifies integration and highlights the poles of the function, which is useful in engineering and differential equations. Decomposition translates a complex rational expression into pieces that match standard antiderivatives or inverse Laplace transform pairs, allowing problems that initially seem forbidding to dissolve into a sequence of manageable steps.

Setting Up the Problem

To decompose, we equate coefficients. Multiplying both sides of the equation above by the denominator yields ax+b=A(xβˆ’r_2)+B(xβˆ’r_1). Expanding and collecting like terms provides two linear equations in the unknowns A and B. Solving these gives the partial fraction coefficients. When the denominator contains repeated or quadratic factors, additional terms appear in the decomposition; the principles remain the same, but the system of equations grows.

Our calculator automates the algebra, returning the coefficients instantaneously. It detects whether the denominator has distinct or repeated roots and selects the appropriate formula. This spares you from messy hand calculations while still revealing the underlying structure.

Using the Calculator

Enter the numerator coefficients a and b, along with the roots r_1 and r_2 of the denominator. The calculator solves for A and B by substituting into the equations derived above. Results appear in the form Axβˆ’r_1+Bxβˆ’r_2 for distinct roots. If the roots coincide, the expression becomes Axβˆ’r+Bxβˆ’r2. You can copy the result to your clipboard for use in homework, reports, or further symbolic manipulation.

A Worked Example

Suppose a=3, b=5, r_1=1, and r_2=2. The system of equations becomes 3x+5=A(xβˆ’2)+B(xβˆ’1). Expanding yields (A+B)x+(βˆ’2Aβˆ’B). Equating coefficients leads to A+B=3 and βˆ’2Aβˆ’B=5. Solving gives A=-8 and B=11, so the decomposition is -8xβˆ’1+11xβˆ’2.

As a second example, take coincident roots: a=2, b=3, and r_1=r_2=4. The formula for repeated factors gives A=a=2 and B=b+ar=3+8=11, resulting in 2xβˆ’4+11xβˆ’42. Checking by recombining confirms the original numerator.

Applications

Partial fraction decomposition simplifies integrals involving rational expressions. In control theory and circuits, it helps invert Laplace transforms, turning complex transfer functions into sums of easier terms. In algebra, it assists with partial fraction expansions over the real or complex numbers, revealing poles and residues. Differential equations with polynomial coefficients often reduce to integrals of decomposed fractions. Chemists use the technique when modeling reaction rates, and economists apply it to solve certain growth models.

Beyond calculus, partial fractions appear in discrete mathematics and probability. Generating functions expressed as rational forms can be decomposed to extract sequence formulas. In digital signal processing, partial fractions reveal the impulse response of filters. Once you recognize the pattern, you’ll notice the technique quietly supporting many branches of applied science.

Historical Background

The method dates back to the 1700s, with contributions from mathematicians such as Heaviside, who used it to simplify differential operators. Euler and Lagrange employed partial fractions in their pioneering work on series and celestial mechanics. Its continued relevance shows how algebraic techniques evolve yet remain essential in modern analysis. By mastering partial fractions, you gain a versatile tool for calculus, engineering, and beyond. The calculator’s automatic approach lets you experiment with numerous examples, accelerating the learning curve.

Tips for Success

Check that the denominator factors into linear terms over the reals. If it contains irreducible quadratics, additional steps are needed; each quadratic contributes a term of the form Ax+Bx2+px+q. While this calculator focuses on linear or repeated linear factors, understanding the broader method prepares you for more advanced problems.

Always verify your results by combining the partial fractions and confirming that the original numerator reappears. This reverse check catches algebraic slips and builds confidence. Explore how the coefficients change when you vary the roots or the numerator. Notice how poles near each other produce larger coefficients, reflecting their influence on the function’s shape. This insight helps when approximating systems or evaluating integrals in applied contexts.

The copy button lets you quickly transfer the decomposition into documents or computer algebra systems for further manipulation. Keep in mind that numerical inputs may produce long decimal expansions; rounding appropriately ensures results are meaningful in the context of your problem.

Further Exploration

To deepen your understanding, try applying the calculator to derivatives of rational functions or to Laplace transform pairs. Observe how repeated poles correspond to polynomial factors in the time domain. Studying these patterns reinforces the link between algebraic structure and system behavior. With practice, partial fraction decomposition becomes a natural step whenever you encounter a rational expression, revealing hidden simplicity beneath apparent complexity.

Advanced courses extend the technique into complex analysis, where partial fractions relate to residues and contour integrals. Decomposing a function into simple terms clarifies which points contribute to an integral's value and why, providing intuition for powerful results like the residue theorem. Even if you are not working in the complex plane, understanding this connection highlights the unity of mathematical ideas across seemingly disparate topics.

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