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Lesson · Laplace Transforms · Solving with it

The Transfer Function and Its Poles

With zero starting values the transformed equation is Y = H(s)·ℒ[q], where H(s) = 1/(a·s² + b·s + c) depends on the equation and not on the forcing. The values of s where H has a zero denominator are its poles, and they are the characteristic roots. A pole with negative real part contributes a term that dies out; a pole with positive real part contributes one that grows without bound. That is the stability criterion.

from rest: Y = H(s)·ℒ[q] H(s) = 1/(a·s² + b·s + c) poles of H = characteristic roots pole p gives a term built on e^(pt) stable when every pole has real part < 0
The transfer function and the criterion

Core ideas

What this lesson establishes

Three ideas: the equation and the forcing separate in the transform, the poles are roots you already know how to find, and the sign of a real part decides the long run.

1

The transform separates the system from the forcing

With y(0) = 0 and y′(0) = 0 the initial terms vanish and (a·s² + b·s + c)·Y = ℒ[q]. So Y is H(s) times ℒ[q]. The factor H is built from the left side alone, so it describes the system, and the second factor describes what is done to it.

2

The poles are the characteristic roots

A pole is a value of s at which a fraction has a zero denominator. The denominator of H is the characteristic polynomial with s in place of r, so its zeros are exactly the characteristic roots found earlier in the Subject. Nothing new is computed; the roots are read from the denominator.

3

Real parts decide, imaginary parts oscillate

A real pole p contributes a term built on e^(pt), and a complex pair α ± βi contributes terms built on e^(αt) times a cosine or a sine of βt. In both cases the term dies out when the real part is negative and grows when it is positive. The imaginary part only sets the frequency.

The material

Poles and the long run, on three equations

The transfer function, three equations from rest, and the criterion that sorts them.

Take a·y″ + b·y′ + c·y = q(t) with y(0) = 0 and y′(0) = 0. The transformed equation of the previous lesson loses its starting terms, and what is left is one product.

(a·s² + b·s + c)·Y = ℒ[q] Y = H(s)·ℒ[q], H(s) = 1/(a·s² + b·s + c)
Definition · The transfer function and its poles

The fraction H(s) = 1/(a·s² + b·s + c) is the transfer function of the equation. Its poles are the values of s at which a·s² + b·s + c = 0.

These are the characteristic roots of “The Characteristic Equation” in Second-Order Linear Equations, with s as the unknown.

The first equation is y″ + 3y′ + 2y = 1 from rest. The transform of the forcing 1 is 1/s, so Y = 1/(s·(s² + 3s + 2)), and the denominator factors as s·(s + 1)·(s + 2). The transfer function has the poles −2 and −1. Substituting roots gives the coefficients, and Y = (1/2)/s − 1/(s + 1) + (1/2)/(s + 2).

Inverting term by term gives y = 1/2 − e^(−t) + (1/2)·e^(−2t). Each pole became one term. The poles −1 and −2 of H became the two exponentials that die out, and the pole at 0 came from the forcing, not from the equation: it is the constant 1/2 that the solution settles at. The poles of H decide whether the transient dies; the poles of ℒ[q] decide what the response settles into.

Theorem · The stability criterion

Let H be the transfer function of a constant-coefficient equation. Every term built on a pole of H tends to zero as t grows, whatever the forcing and the starting values, if and only if every pole of H has negative real part. One pole with positive real part gives a term that grows without bound.

A real pole p contributes a multiple of e^(pt), and a complex pair α ± βi a multiple of e^(αt) times a cosine or a sine. A repeated pole adds a factor t, as in the previous lesson.

The exponential e^(pt) shrinks to zero when p < 0 and grows without bound when p > 0; the same holds for e^(αt), and the sine and cosine only stay between −1 and 1. So the sign of the real part decides.

□

A complex pair: oscillation with a decay rate

For y″ + 2y′ + 5y = 5 from rest, H has the denominator s² + 2s + 5 = (s + 1)² + 4. The poles are −1 ± 2i. The real part −1 is negative, so the transient dies, and the imaginary part 2 is the frequency. With the forcing 5/s the solution is y = 1 − e^(−t)·cos(2t) − (1/2)·e^(−t)·sin(2t), which oscillates about 1 with an envelope shrinking like e^(−t).

A pole on the right

For y″ − y′ − 2y = 2 from rest, the denominator is s² − s − 2 = (s − 2)(s + 1), and the poles are 2 and −1. The pole 2 has positive real part. Its term is (1/3)·e^(2t), and the full solution is y = −1 + (1/3)·e^(2t) + (2/3)·e^(−t); the lab prints the same three terms with the growing one first. It starts at 0, as it must, and then the exponential takes over. At t = 5 the factor e^(10) is ≈ 22026.5, rounded, and every further unit of time multiplies the term by e², which is ≈ 7.38906, rounded.

One edge of the criterion is worth stating. A pole exactly on the imaginary axis, such as the pair ±2i of y″ + 4y = 0, has real part 0. It gives a term that neither shrinks nor grows, so the criterion as stated, with its strict inequality, does not call that equation stable.

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

Reading stability from the equation

No decomposition is needed to classify the long run. The denominator of the transfer function is enough.

1

Write the transfer function

Replace y″, y′ and y in the left side by s², s and 1 to get a·s² + b·s + c. The transfer function is its reciprocal.

2

Find the poles

Solve a·s² + b·s + c = 0. Factor it, or use the quadratic formula for a complex pair.

3

Read the real parts

Write down the real part of each pole. Any positive one means growth. If all are negative, the transient dies.

4

Separate the forcing's poles

Transform the forcing. Its poles appear in Y but not in H, and they give the steady state the response settles into.

5

Confirm with the solution

Decompose, invert, and check that each term has the behaviour its pole predicted.

Poles and the long run

Score 0 / 0

y″ + 3y′ + 2y = 1 from rest

The first preset: the poles, then the solution, then the long run.

(s² + 3s + 2)·Y = 1/s Y = 1/(s·(s + 1)·(s + 2)) poles of H: −1 and −2 A = 1/((1)(2)) = 1/2 (at s = 0) B = 1/((−1)(1)) = −1 (at s = −1) C = 1/((−2)(−1)) = 1/2 (at s = −2) y = 1/2 − e^(−t) + (1/2)·e^(−2t)

Both poles of H are negative, so both exponentials die out and y settles at 1/2. That is also the value the equation gives when y″ and y′ are zero: 2y = 1.

Change the middle coefficient to make s² − s − 2 and the pole 2 appears, which is the third preset. The only difference in the arithmetic is one sign; the difference in the long run is bounded against unbounded.

Common mistakes

1
A pole on the right just makes the response largerThe unstable preset has the term (1/3)·e^(2t). At t = 5 it is ≈ 7342.16, rounded, and every further unit of time multiplies it by e², which is ≈ 7.38906, rounded. A positive real part is not a bigger bounded response; the response has no bound at all. The check is the term itself: an exponential with a positive exponent has no ceiling.
2
Reading stability from the pole of the forcingIn Y = 1/(s·(s + 1)·(s + 2)) there is a pole at 0, and it is tempting to call the equation marginal because of it. That pole comes from the forcing 1/s. It sets the constant 1/2 that the response settles to. Stability is a property of the poles of H, here −1 and −2, and both are negative.
3
Calling −1 ± 2i unstable because of the iThe imaginary part gives oscillation, not growth. The real part of −1 ± 2i is −1, and the response is 1 − e^(−t)·cos(2t) − (1/2)·e^(−t)·sin(2t), whose oscillation is multiplied by e^(−t) and shrinks. Only the real part enters the criterion.

Check your understanding

✓
Finish when you can write the transfer function of a second-order equation, find its poles and state from their real parts whether the response dies out.

You should be able to say which poles belong to the equation and which to the forcing, read a complex pair as a decay rate and a frequency, and confirm the prediction against the lab's solution.

Note: Every forcing so far has been on from the start. The next lesson switches it on at a chosen time, which the transform handles with one new factor. See “The Unit Step and Switched Forcing”.

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