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CT vs DT signals; u[n] = Σδ[n−k]

Differentiate between continuous time and discrete time signals with examples. Show that u[n] = Σ_{k=0}^{∞} δ[n−k]

CT vs DT signals

Continuous-time signalDiscrete-time signal
Defined for every ttDefined only at integer nn
Written x(t)x(t)Written x[n]x[n]
Analog in natureObtained by sampling or naturally discrete
Processed by analog circuitsProcessed by digital hardware
Uses integrals, derivativesUses sums, differences
e.g. sin⁡100πt\sin 100\pi t, speech voltagee.g. (0.5)nu[n](0.5)^n u[n], daily temperature

Show that u[n]=∑k=0∞δ[n−k]u[n] = \sum_{k=0}^{\infty}\delta[n-k]

Expand the right-hand side:

∑k=0∞δ[n−k]=δ[n]+δ[n−1]+δ[n−2]+⋯\sum_{k=0}^{\infty}\delta[n-k] = \delta[n] + \delta[n-1] + \delta[n-2] + \cdots

δ[n−k]=1\delta[n-k] = 1 only when n=kn = k, otherwise 0.

  • For n<0n < 0: n−k<0n - k < 0 for every k≥0k \ge 0, so every term is 0. Sum =0= 0.
  • For n≥0n \ge 0: exactly one term, the one with k=nk = n, equals 1; all others are 0. Sum =1= 1.
∑k=0∞δ[n−k]={1,n≥00,n<0=u[n]\sum_{k=0}^{\infty}\delta[n-k] = \begin{cases} 1, & n \ge 0 \\ 0, & n < 0 \end{cases} = u[n]

Hence proved. (Equivalently, putting m=n−km = n-k: u[n]=∑m=−∞nδ[m]u[n] = \sum_{m=-\infty}^{n}\delta[m], the running sum of the impulse.) Graphically, the step is a train of unit impulses at n=0,1,2,…n = 0, 1, 2, \ldots:

   o  o  o  o  o ...   = delta[n] + delta[n-1] + ...
   |  |  |  |  |
 --+--+--+--+--+--> n
   0  1  2  3  4

✓ Answer checked by Claude Opus 5.5 (high effort)

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