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Lesson · Laplace Transforms · The transform

The Transform of a Derivative

The transform of a derivative is the transform of the function multiplied by s, less the function's value at the start: ℒ[y′] = s·Y − y(0). Applying it twice gives ℒ[y″] = s²·Y − s·y(0) − y′(0). The rule is proved from the product rule and the fundamental theorem, and the lab checks it on a signal by transforming the derivative directly and comparing. The initial values come with the rule, which is what makes the method of the next lesson work.

ℒ[y′] = s·Y − y(0) ℒ[y″] = s²·Y − s·y(0) − y′(0) Y means the transform of y y(0) stays: it is not optional
The derivative rules

Core ideas

What this lesson establishes

Three ideas: the rule, where the initial value comes from, and why it is easy to forget.

1

Differentiating in t is multiplying by s, with a correction

If the transform of y is Y(s), then the transform of y′ is s·Y(s) less the value of y at t = 0. In t, the operation is a derivative. In s, it is a multiplication and a subtraction. That exchange is the whole reason the transform is useful for differential equations.

2

The correction is the initial value, and it comes from the lower limit

The transform integrates from t = 0. When the product rule is integrated over that interval, the endpoint at t = 0 leaves behind y(0). The starting value is not added by hand afterward: it is part of the rule, and an equation transformed with the rule already contains it.

3

The slip is invisible when y(0) = 0

A reader who forgets the correction and writes ℒ[y′] = s·Y gets the right answer for every signal that starts at zero, sin(t) and t² among them. That is why the slip survives: it fails only when the starting value is not zero, and then it is wrong by exactly that value.

The material

The rule, its proof, and a check on three signals

The rule for a first derivative, a proof that uses nothing beyond the product rule and the fundamental theorem, the rule for a second derivative, and the lab's check.

Throughout, a capital letter stands for the transform of the lower-case one: Y(s) is ℒ[y] and F(s) is ℒ[f]. The rules are stated for a signal y and its derivatives, at values of s large enough that the transforms exist.

Theorem · The transform of a first derivative

ℒ[y′] = s·Y − y(0), for s large enough that the transforms exist and e^(−sT)·y(T) shrinks toward zero as T grows.

The product rule gives (e^(−st)·y)′ = −s·e^(−st)·y + e^(−st)·y′. Integrate both sides from 0 to T. The fundamental theorem says the left side is e^(−sT)·y(T) − y(0).

On the right, the first integral is −s times the integral that defines Y, and the second is the integral that defines ℒ[y′]. Let T grow: the term e^(−sT)·y(T) goes to zero, which leaves −y(0) = −s·Y + ℒ[y′]. Solving for ℒ[y′] gives the rule.

□

The condition in the theorem is not decoration. It holds for every signal in the table, at every s above the signal's floor, and the lab only transforms signals from the table. The proof shows where the initial value enters: it is the value of the left side at the lower limit.

Theorem · The transform of a second derivative

ℒ[y″] = s²·Y − s·y(0) − y′(0).

Apply the first rule to the function y′: ℒ[y″] = s·ℒ[y′] − y′(0).

Then replace ℒ[y′] by s·Y − y(0): ℒ[y″] = s·(s·Y − y(0)) − y′(0) = s²·Y − s·y(0) − y′(0).

□

ℒ[y′] = s·Y − y(0) ℒ[y″] = s²·Y − s·y(0) − y′(0)
Example · The rule on e^(2t)

Take y = e^(2t), so y′ = 2e^(2t) and y(0) = 1. The transform of y is 1/(s − 2), and the transform of y′ is twice that, 2/(s − 2), by linearity.

The rule says s·Y − y(0) = s/(s − 2) − 1. Over a common denominator that is (s − (s − 2))/(s − 2) = 2/(s − 2). The two sides agree, and the lab's first preset prints equal.

The same check on y = sin(t) and on y = t² also prints equal, and for both of them the starting value is zero. Then the rule reads ℒ[y′] = s·Y, and a reader who had forgotten the correction would not see anything wrong. Only a signal with a non-zero start, such as e^(2t), makes the forgotten term visible: dropping it leaves s/(s − 2), which is 1 too large.

Example · The rule on t²

For y = t² the transform is 2/s³, and y(0) = 0. The derivative is 2t, whose transform is 2/s². The rule gives s·(2/s³) − 0 = 2/s².

Both sides are the same fraction, and the lab prints equal.

What the lab does and does not do. It computes ℒ[y′] by differentiating the signal and transforming the result, and computes s·Y − y(0) separately, as exact fractions. Showing them equal on three signals is a demonstration; the proof above is the reason it holds for every signal.

Interactive

The Laplace transform

Transforms, partial fractions and solutions, exactly

The Laplace transformfunctions of t as exact rational functions of s
the function of t, drawn from its closed form

Method

Verifying the rule on a signal

Transform the signal, differentiate it and transform that, then compare against the rule.

1

Transform the signal

Find Y(s) = ℒ[y] from the table, and record y(0).

2

Differentiate the signal and transform the derivative

Compute y′ in t, then find ℒ[y′] from the table. This is the left-hand side of the rule.

3

Form s times Y less the starting value

Multiply Y by s, subtract y(0), and combine into one fraction. This is the right-hand side.

4

Compare

If the two fractions are the same, the rule holds on this signal. If they differ by a constant, the starting value was left out or mis-signed.

Writing and using the rules

Score 0 / 0

The transform of y′ for y = e^(2t), both ways

The first preset. The left side is computed straight from the derivative; the right side from the rule.

y = e^(2t), y′ = 2e^(2t), y(0) = 1 ℒ[y′] = 2·ℒ[e^(2t)] = 2/(s − 2) s·Y − y(0) = s/(s − 2) − 1 = (s − (s − 2))/(s − 2) = 2/(s − 2) the two fractions are equal

The subtraction of 1 is what makes the match work. Without it the right side is s/(s − 2), which is 1 more than 2/(s − 2) at every s.

For a second derivative the same check needs two corrections, and the next lesson uses both: s·y(0) and y′(0).

Common mistakes

1
Writing the transform of y′ as s·Y and forgetting the initial valueFor y = e^(2t) the slip gives s/(s − 2), but the transform of y′ = 2e^(2t) is 2/(s − 2); the two differ by 1 = y(0) at every s. The slip is hard to catch because for sin(t) and t², where y(0) = 0, the wrong rule and the right rule agree. Always write the correction, and check it on a signal that starts away from zero.
2
Subtracting y(0) from Y instead of from s·YThe rule is s·Y − y(0), not s·(Y − y(0)). For e^(2t) the second gives s·(1/(s − 2) − 1) = s·(3 − s)/(s − 2), which is not 2/(s − 2). The value y(0) is a constant that is subtracted, not a factor that is multiplied by s.
3
Giving the transform of y″ only one correctionA second derivative needs two starting values, y(0) and y′(0), and they enter differently: y(0) is multiplied by s. Writing s²·Y − y(0) − y′(0) drops that factor. Applying the first rule twice, as in the proof, is the safe way to get it: s·(s·Y − y(0)) − y′(0).

Check your understanding

✓
Finish when you can write the transform of y′ and of y″ with their initial values and verify the first on a signal.

You should be able to state both rules, say where the initial value comes from, transform a signal and its derivative separately, and show by exact fractions that the two sides of the rule agree; and say why the slip of leaving the initial value out is invisible when it is zero.

Note: With the derivative rules and the table in hand, an initial value problem is a line of algebra and a table read backwards. That is the next lesson, “Solving an Initial Value Problem”.

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