3 The delta function (or impulse function)

There is often a need for considering the effect on a system (modelled by a differential equation) by a forcing function which acts for a very short time interval. For example, how does the current in a circuit behave if the voltage is switched on and then very shortly afterwards switched off? How does a cantilevered beam vibrate if it is hit with a hammer (providing a force which acts over a very short time interval)? Both of these engineering ‘systems’ can be modelled by a differential equation. There are many ways the ‘kick’ or ‘impulse’ to the system can be modelled. The function we have in mind could have the graphical representation (when a is small) shown in Figure 14.

Figure 14

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This can be represented formally using step functions; it switches on at t = d and switches off at t = d + a and has amplitude b :

f ( t ) = b [ u ( t d ) u ( t { d + a } ) ]

The effect on the system is related to the area under the curve rather than just the amplitude b . Our aim is to reduce the time interval over which the forcing function acts (i.e. reduce a ) whilst at the same time keeping the total effect (i.e. the area under the curve) a constant. To do this we shall take b = 1 a so that the area is always equal to 1. Reducing the value of a then gives the sequence of inputs shown in Figure 15.

Figure 15

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As the value of a decreases the height of the rectangle increases (to ensure the value of the area under the curve is fixed at value 1) until, in the limit as a 0 , the ‘function’ becomes a ‘spike’ at t = d . The resulting function is called a delta function (or impulse function ) and denoted by δ ( t d ) . This notation is used because, in a very obvious sense, the delta function described here is ‘located’ at t = d . Thus the delta function δ ( t 1 ) is ‘located’ at t = 1 whilst the delta function δ ( t ) is ‘located’ at t = 0 .

If we were defining an ordinary function we would write

δ ( t d ) = lim a 0 1 a [ u ( t d ) u ( t { d + a } ) ]

However, this limit does not exist. The important property of the delta function relates to its integral:

δ ( t d ) d t = lim a 0 1 a [ u ( t d ) u ( t { d + a } ) ] d t = lim a 0 d d + a 1 a d t = lim a 0 [ d + a a d a ] = 1

which is what we expect since the area under each of the limiting curves is equal to 1 .

A more technical discussion obtains the more general result:

Key Point 11

Sifting Property of the Delta Function

f ( t ) δ ( t d ) d t = f ( d )

This is called the sifting property of the delta function as it sifts out the value f ( d ) from the function f ( t ) . Although the integral here ranges from t = to t = + in fact the same result is obtained for any range if the range of the integral includes the point t = d . That is, if α d β then

α β f ( t ) δ ( t d ) d t = f ( d )

Thus, as long as the delta function is ‘located’ within the range of the integral the sifting property holds. For example,

1 2 sin t δ ( t 1.1 ) d t = sin 1.1 = 0.8112 0 e t δ ( t 1 ) d t = e 1 = 0.3679

Task!

Write expressions for delta functions located at t = 1.7 and at t = 2.3

δ ( t + 1.7 ) and δ ( t 2.3 )

Task!

Evaluate the integral 1 3 ( sin t δ ( t + 2 ) cos t δ ( t ) ) d t

You should obtain the value 1 since the first delta function, δ ( t + 2 ) , is located outside the range of integration and thus

1 3 ( sin t δ ( t + 2 ) cos t δ ( t ) ) d t = 1 3 cos t δ ( t ) d t = cos 0 = 1

3.1 The Laplace transform of the delta function

Here we consider L { δ ( t d ) } . From the definition of the Laplace transform:

L { δ ( t d ) } = 0 e s t δ ( t d ) d t = e s d

by the sifting property of the delta function. Thus

Key Point 12

Laplace Transform of the Sifting Function

L { δ ( t d ) } = e s d  and, putting  d = 0 , L { δ ( t ) } = e 0 = 1
Exercise

Find the Laplace transforms of   3 δ ( t 3 ) .

3 e 3 s