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    Calculus

    Laplace Transform Explained with Steps and Examples

    What if you could turn a hard calculus problem into simple algebra? That's what the Laplace transform does: derivatives become multiplication, and differential equations become equations you can solve in a few lines. This guide explains the idea and works out L{e^(at)} = 1/(s − a) step by step.

    Math Solver Academic Editorial Board5 min read

    Key takeaways

    • Laplace transform: F(s) = ∫₀^∞ f(t)·e^(−st) dt.
    • L{e^(at)} = 1/(s − a), and it exists only for s > a.
    • It turns y' into sY(s) − y(0), so derivatives become algebra.
    • Watch the sign: L{e^(−3t)} = 1/(s + 3).
    In this guide
    1. 01What is the Laplace transform?
    2. 02Why does the Laplace transform matter?
    3. 03The formula
    4. 04How to find L{e^(at)} step by step
    5. 05Common mistakes to avoid
    6. 06Tips and tricks
    7. 07Where you'll use it in real life
    8. 08Quick summary
    9. 09Worked example
    10. 10Frequently asked questions

    What is the Laplace transform?

    Think of it as a translator. You give it a signal f(t) that changes over time, such as a voltage or a spring's position. It gives back a new function F(s). Hard calculus in the time world (derivatives) becomes simple algebra in the s world (multiplying by s). You solve the easy algebra, then translate back.

    It works by multiplying f(t) by a fading exponential e^(−st) and adding up the area from t = 0 to infinity. The fading factor tames the function so that the area is finite, as long as s is big enough.

    Why does the Laplace transform matter?

    Engineers use it every day to design systems that must respond smoothly: cruise control, drone stabilisers, thermostats, audio filters and power circuits. Its superpower is one rule: the transform of a derivative is just sY(s) − y(0). So a differential equation becomes an algebra problem, with the starting values already built in.

    Solve for Y(s) with algebra, look up the answer in a table, and translate back. No guessing, no integrating factors.

    The formula

    F(s) = L{f(t)} = ∫₀^∞ f(t) · e^(−st) dt

    For the exponential function f(t) = e^(at), which this calculator handles:

    L{e^(at)} = 1/(s − a), valid for s > a
    SymbolWhat it meansExample
    f(t)The original function of time t (t ≥ 0)e^(2t)
    aGrowth rate: a > 0 grows, a < 0 decays, a = 0 gives 12
    sThe transform variable (real here)4
    F(s)The result, 1/(s − a)0.5

    The calculator plugs your a and s into 1/(s − a). Always choose s > a. If s is less than a, the calculator tells you the integral does not converge, because the integrand grows without bound. At s = a exactly it shows ∞, since the area grows forever.

    A short table of common transforms

    f(t)F(s) = L{f(t)}Valid for
    11/ss > 0
    e^(at)1/(s − a)s > a
    tⁿ (whole n)n!/sⁿ⁺¹s > 0
    sin(bt)b/(s² + b²)s > 0
    cos(bt)s/(s² + b²)s > 0
    y'(t)sY(s) − y(0)—

    For tⁿ you'll need factorials; see the factorial calculator.

    How to find L{e^(at)} step by step

    1. 1Write the integral. ∫₀^∞ e^(at) · e^(−st) dt = ∫₀^∞ e^(−(s−a)t) dt.
    2. 2Integrate. The antiderivative is −e^(−(s−a)t) ÷ (s − a).
    3. 3Take the limit as t → ∞. If s > a, the exponential fades to 0.
    4. 4Subtract the value at t = 0. That value is −1/(s − a), so the result is 0 − (−1/(s − a)) = 1/(s − a).

    Now enter your own a and s below. The calculator checks that s > a and shows the working.

    Try it yourself

    Pre-filled with the example — change any value.

    🧮
    Advanced Mathematics
    University

    Laplace Transform

    Calculate Laplace transform of e^(at): L{e^(at)} = 1/(s-a)

    L{f(t)} = ∫[0 to ∞] f(t)e^(-st)dt

    a = 2Active Variable
    Dynamic Formula Model
    120
    120

    💡 Example

    Reference
    Inputs:a=2, s=5
    Result:0.333
    Open the full Laplace Transform calculator

    Common mistakes to avoid

    • Getting the sign wrong. L{e^(−3t)} = 1/(s + 3), because a = −3 gives s − (−3).
    • Starting the integral at −∞. The Laplace transform starts at t = 0.
    • Forgetting it is linear. L{2e^(at)} = 2/(s − a); constants just come along.
    • Forgetting the starting value. L{y'} = sY(s) − y(0), not just sY(s).

    Tips and tricks

    • Split sums: L{3 + e^(2t)} = 3/s + 1/(s − 2), because the transform is linear.
    • Solving ODEs: it handles equations like the second-order ODE of a spring, starting values included.
    • Repeating signals: for those, the related tool is the Fourier series.

    Where you'll use it in real life

    • Control systems: cruise control, drones, robots and thermostats.
    • Electronics: analysing circuits with capacitors and inductors.
    • Mechanical engineering: springs, dampers and vibrating machines.
    • Signal processing: designing filters for audio and communications.

    Quick summary

    The Laplace transform multiplies f(t) by e^(−st) and integrates from 0 to ∞, turning calculus into algebra. For e^(at) the result is 1/(s − a), which exists only when s > a. Use the calculator above to evaluate it for any a and s, with the steps shown.

    Worked example

    In a circuit problem, the current grows like e^(2t). Your textbook asks for its Laplace transform, evaluated at s = 4. Since 4 > 2, the transform exists. Use a = 2 and s = 4.

    1. 01L{e^(2t)} = 1/(s-2)
    2. 02= 1/(4-2)
    3. 03= 1/2
    4. 04= 0.5

    These numbers are pre-filled in the calculator above.

    Frequently asked questions

    What is the Laplace transform of e^(at)?

    It is 1/(s − a), valid for s > a. For example, L{e^(2t)} = 1/(s − 2), which equals 1/3 at s = 5.

    What is the Laplace transform of 1?

    It is 1/s, for s > 0. This is the e^(at) formula with a = 0, because e^(0·t) = 1.

    Why is the Laplace transform useful for differential equations?

    It turns the derivative y' into sY(s) − y(0), which is plain algebra. You solve for Y(s), then use a table to transform back and get y(t).

    What is the difference between the Laplace and Fourier transforms?

    The Fourier transform breaks a signal into pure waves. The Laplace transform adds a fading factor e^(−st) and starts at t = 0, so it also handles signals that grow and includes starting values.

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