Inverse Laplace Transform Calculator

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Enter F(s) and t.

From s-Domain Back to Time

While the Laplace transform carries differential equations into the simpler algebraic realm of the s-domain, many applications ultimately require returning to the time domain. The inverse Laplace transform accomplishes this by mapping a complex function Fs back to ft. In theory, the inversion formula involves a complex contour integral known as the Bromwich integral. In practice, engineers often rely on tables of transform pairs or partial fraction expansions to find closed-form results. This calculator focuses on the common case of rational functions with simple poles, which cover a large portion of introductory problems.

Partial Fractions

The easiest rational functions to invert are sums of terms of the form As-a. Each such term corresponds to a time-domain exponential Aeat. More complicated ratios of polynomials can often be decomposed into a sum of these basic pieces using partial fraction decomposition. Once in this form, the inverse transform follows immediately. The calculator expects the input function in a partially fractioned state, with terms like 2/(s+1) or 3/(s-4) added together. This simple syntax makes the inversion quick and intuitive.

Why Inverse Transforms Matter

Control theory, electrical engineering, and vibration analysis frequently employ Laplace transforms to convert differential equations into algebraic ones. After solving in the s-domain, engineers apply the inverse transform to find the actual time response. Without a convenient method for inversion, transfer functions and system analyses would remain abstract. The ability to jump back and forth between domains enables clear interpretation of physical behavior, such as the exponential decay or growth dictated by each pole.

Using the Calculator

Type a sum of terms where each denominator is linear in s. Coefficients may be any real numbers. After entering the time t, press the button to compute ft. The script parses each term with a regular expression, extracts the coefficient and pole location, and assembles the result as a sum of exponentials. It then evaluates the expression numerically at the chosen time, returning both the symbolic form and the numeric value. The calculator provides a quick sanity check when solving linear ordinary differential equations by hand.

Example Transformation

Consider Fs=2s+1. Rewriting as 2s+21 splits the expression into 2s plus 21. The term 2s corresponds to 2ddtδt, while the constant 2 in the numerator yields 2δt. These distributions highlight that not every rational function decomposes into simple exponentials; nonetheless, when the denominator factors into distinct linear terms, the transformation is straightforward.

Iterative Interpretation

The response of a system often combines several exponential modes. If Fs=As-a+Bs-b, the inverse transform is simply ft=Aeat+Bebt. Each pole a or b corresponds to a specific exponential growth or decay rate in time. This direct association between pole locations and time behavior underlies many design rules in feedback control and filter synthesis.

Implementation Details

The calculator relies on a simple regular expression to capture terms in the form coef/(s+shift) or coef/(s-shift). After parsing, each term contributes coefe-shiftt or with the appropriate sign if the denominator has -. Results are summed and displayed with six decimal places. If the expression contains unsupported syntax, the calculator alerts the user. This approach is not a full symbolic algebra system, but it handles many classroom examples swiftly and clearly.

Historical Background

Pierre-Simon Laplace introduced his transform in the eighteenth century, but techniques for inversion matured over the following hundred years. Today, tables of transforms and software packages make inversion routine. Still, understanding how terms in the s-domain map to exponentials in time demystifies the process and helps interpret system responses intuitively. By experimenting with simple fractions, you can gain a feel for how pole positions dictate stability, oscillations, and decay.

Practical Advice

When entering a function, ensure it is already decomposed into recognizable partial fractions. Terms with repeated poles or irreducible quadratic factors require additional techniques not covered by this simple tool. Likewise, expressions with essential singularities or branch cuts demand contour integration or advanced complex analysis. For typical engineering problems, however, the combination of partial fractions and a lookup table suffices. The calculator serves as a quick check when solving linear differential equations or studying simple control systems.

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