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Linear constant coefficient difference equations

A subclass of the linear shift-invariant systems is that for which input x(n) and output y(n) satisfy an Nth order linear constant coefficient difference equation, which is given by

a0 y(n) + a1 y(n-1) + ... + aN y(n-N) = b0 x(n) + b1 x(n-1) + ... + bM x(n-M),        a0 ≠ 0

This can be written in the more compact, though daunting, form

1832_Linear constant coefficient difference equations.png

If system is causal, then we can rearrange above equation to compute y(n) iteratively from the present input x(n) and past inputs x(n-1), x(n-2), ..., x(n-M) and the past outputs
 y(n-1), y(n-2), ..., y(n-N):  1845_Linear constant coefficient difference equations1.png

If we think of the input as starting from n = 0, then y(n) can be computed for all the n0 once y(-1), y(-2), ..., y(-N) are specified. It is an iterative solution.

Some write the difference equation with the terms y(n-1) through y(n-N) on the right hand side with the positive (symbolic) coefficients and the coefficient of y(n) = 1, therefore

y(n) = b0 x(n) + b1 x(n-1) + ... + bM x(n-M) + a1 y(n-1) + ... + aN y(n-N)

If we desire to use this form we shall use different symbols altogether as follows:

y(n) = β0 x(n) + β1 x(n-1) + ... + βM x(n-M) + α1 y(n-1) + ... + αN y(n-N)

Example [First order system] For the first order system y(n) - a y(n-1) = x(n) find the output sequence y(n) assuming y(n) = 0 for all n < 0 and x(n) = δ(n). This corresponds to calculating the impulse response assuming zero initial conditions.

y(n) = a y(n-1) + x(n) = a y(n-1) + δ(n)

n = 0:    y(0) = a y(-1) + δ(0) = a. 0 + 1 = 1

n = 1:    y(1) = a y(0) + δ(1) = a . 1 + 0 = a

n = 2:    y(2) = a y(1) + δ(2) = a . a + 0 = a2 n = 3           ...

Continuing the this we have y(n) = an , n≥ 0.  This is also the unit sample response h(n) = an u(n). It is not possible to express y(n) always as an analytical expression (closed form) as above.

Note It is possible to recast the above problem also as a noncausal or negative-time system with y(n) = 0 for n 0. In this case, solving for y(n-1), we have

y(n-1) =1/a (y(n) - x(n))

This can be recast (by letting (n-1) = m etc.) as

y(n) =1/a (y(n + 1) - x(n + 1)), n < 0

The solution now is y(n) = - an , for n < 0, or impulse response is h(n) = - an u(-n-1).

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