[Signals & Systems] Continuous-Time Unit Step

In summary: However, if you only require 1 of them to be satisfied (left hand limit), then you can still say the function is continuous at that point. In summary, different authors and teachers define the unit step differently, which can cause confusion.
  • #1
N468989
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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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  • #2
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].
 
  • #3
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).
 
  • #4
Right, you can use it to "define" the transform of a unit step.
 
  • #5
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.
 
  • #6
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.]
 
  • #7
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..
 
  • #8
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}
e^{-\alpha t} & \mbox{if } t > 0 \\[3pt]
0 & \mbox{if } t = 0 \\[3pt]
-e^{\alpha t} & \mbox{if } t < 0
\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:
  • #9
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).
 

1. What is a continuous-time unit step function?

A continuous-time unit step function, also known as the Heaviside step function, is a mathematical function that is defined as 0 for all negative input values and 1 for all positive input values. It is often represented by the symbol u(t).

2. What is the purpose of the continuous-time unit step function?

The continuous-time unit step function is commonly used in signal processing and control systems to model the behavior of systems that have an abrupt change in output when the input reaches a certain threshold. It is also used to represent a signal that is turned on at a specific time.

3. How is the continuous-time unit step function related to the unit impulse function?

The unit impulse function is the derivative of the continuous-time unit step function. This means that if the input of the unit step function is a constant, the output of the unit impulse function will be a single spike at the time when the input changes from 0 to 1.

4. What is the Laplace transform of the continuous-time unit step function?

The Laplace transform of the continuous-time unit step function is 1/s, where s is the complex frequency variable. This means that the unit step function has a constant amplitude and a phase shift of -π/2 for all frequencies.

5. How is the continuous-time unit step function used in solving differential equations?

The unit step function is often used to represent the initial conditions in differential equations. It can be used to model the behavior of a system at different times, which allows for the solution of differential equations to be expressed in terms of a piecewise function.

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