[Signals & Systems] Continuous-Time Unit Step

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Discussion Overview

The discussion revolves around the nature of the continuous-time unit step function, particularly its behavior at the point of discontinuity at t=0. Participants explore different interpretations and definitions of the function, including its continuity properties and implications for signal processing.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • Some participants note that the unit step function is defined as 0 for t < 0 and 1 for t > 0, leading to a discontinuity at t = 0.
  • Others argue that the function can be defined to take on either 0 or 1 at t = 0, resulting in left or right continuity, respectively.
  • A few participants mention that some definitions assign the value of 1/2 at t = 0, based on Fourier Analysis, which states that the Fourier series converges to the average of the values at the discontinuity.
  • There is a suggestion that defining the unit step function in terms of the sign function (sgn(t)) can yield more elegant results in signal processing.
  • One participant proposes considering the unit step as the integral of the Dirac Delta function, which raises questions about its definition and value at t = 0.
  • Another participant emphasizes that different texts and authors may define the unit step function differently, but continuity cannot be achieved at t = 0 under any definition due to the requirements for continuity.

Areas of Agreement / Disagreement

Participants generally agree that the continuous-time unit step function is discontinuous at t = 0, but there is no consensus on the best definition or interpretation of its value at that point. Multiple competing views on the function's definition and implications remain present.

Contextual Notes

Participants highlight that continuity requires the existence of left and right limits and their equality to the function's value at the point, which cannot be satisfied simultaneously for the unit step function at t = 0.

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hi all, i was wondering what is the most correct approach concerning this function, since sometimes i find that the function is discontinuous at t=0 and sometimes its not.

why is that there are 2 interpretations for a single function? bit confusing...


P.F.
 
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The signal (and not function, strictly speaking) is equal to 0 for t < 0 and equal to 1 for t > 0. It is discontinuous at t = 0, but some authors define it to be either 0 or 1 at t = 0, making it left or right continuous at that point, respectively.

In either case, the signal is not continuous at t = 0 (continuity at a point requires (a) existence of left and right hand limits, (b) equality of the left and right hand limits, to the value of the function at that point)...it is either left continuous or right continuous or neither left nor right continuous.

Sidenote: sometimes, the value at t = 0 is also defined to be the average of 0 and 1, i.e. 1/2. This is done because a theorem from Fourier Analysis states that the Fourier series of a function at a point of discontinuity [itex]\zeta[/itex] converges to the average of the values at [itex]\zeta-[/itex] and [itex]\zeta+[/itex].
 
maverick280857 said:
sometimes, the value at t = 0 is also defined to be the average of 0 and 1, i.e. 1/2. This is done because a theorem from Fourier Analysis states that the Fourier series of a function at a point of discontinuity [itex]\zeta[/itex] converges to the average of the values at [itex]\zeta-[/itex] and [itex]\zeta+[/itex].

it ends up being more elegant and useful for more reasons. like defining u(t) = (1+sgn(t))/2 (and then there is a meaningful result for the Fourier Transform of the unit step) and being able to say that u(t) + u(-t) = 1 for all t. i think, in any decent signals & systems book, it should be defined that way for continuous-time u(t).
 
Right, you can use it to "define" the transform of a unit step.
 
maverick280857 said:
Right, you can use it to "define" the transform of a unit step.

no, to compute it from the definition of the unit step (in terms of the sgn(t) function, which is the premise i suggested) and from the definition of the Fourier Transform.
 
rbj said:
no, to compute it from the definition of the unit step (in terms of the sgn(t) function, which is the premise i suggested) and from the definition of the Fourier Transform.

Yes, I'm sorry that's what I meant too...but of course one has to figure out what sgn(t) transforms to, in the Fourier domain.

[To the OP--have a look at Oppenheim/Wilsky/Nawab.]
 
I you want to have a rigorous statement you might think it as the integral of the Dirac Delta function (or distribution as we should say) from [itex]-\infty[/itex] to [itex]\infty[/itex] . Then, the rest follows from the definitions of distributions, which mostly considered to be technical overkill for such a simple function (It is a function of time! [itex]\mathbf{1}(t)[/itex] ) and hence the confusion e.g. is it defined or not, does it have a value at zero or not, etc..
 
maverick280857 said:
Yes, I'm sorry that's what I meant too...but of course one has to figure out what sgn(t) transforms to, in the Fourier domain.

it's in the books. if you want to figure it out, try to transform this limiting function:[tex]\mbox{sgn}(t) = \lim_{\alpha \to 0} \begin{cases}<br /> e^{-\alpha t} & \mbox{if } t > 0 \\[3pt]<br /> 0 & \mbox{if } t = 0 \\[3pt]<br /> -e^{\alpha t} & \mbox{if } t < 0 <br /> \end{cases}[/tex]

you can figure out the Fourier Transform of that if [itex]\alpha > 0[/itex].

this has a lot to do with the Hilbert Transform.
 
Last edited:
Thanks, that's an interesting way to look at sgn(t). I've only encountered trambolin's approach though...not too rigorously--during some brief digressions into distribution theory during an introductory signal analysis course.

Anyway, so as not to confuse tko_gx, I want to point out that different books/authors and teachers will define the unit step differently. Its important to remember that the continuous time unit step is a discontinuous function at t = 0 no matter how you define it, because continuity requires three conditions to be met simulataneously:

1. Left hand limit should exist
2. Right hand limit should exist
3. Left hand limit = right hand limit = value of function at that point

Note that with a continuous time unit step, you cannot satisfy these 3 conditions simultaneously (first two are true).
 

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