Talk:Heaviside step function
|WikiProject Mathematics||(Rated Start-class, Low-importance)|
- 1 (pre-TOC comments)
- 2 fourier transform?
- 3 "integral representation of the step function"
- 4 Fourier transform of the Heaviside Step Function
- 5 The function letter?
- 6 Analytic Exact Form of Unit Step Function
- 7 H(0) in the intro paragraph
- 8 "Heaviside"
- 9 references
- 10 Value in 0?
- 11 Non-convergence?
- 12 H(0) (again)
The definition is self-contradictory: Who can correct it?
- Dirac delta function also defines it, with the ≥ switched for a ≤ - but this still doesn't match the written definition, unless I was lied to by years of math teachers and zero is negative. --Brion 08:55 Oct 26, 2002 (UTC)
Looked it up, it's =1 at zero (your teachers were right, Brion, zero, is neither neg nor pos). Funnily enough, the book I have here, they give the positive part first, then the negative, which seems the wrong way round. If I remember correctly, the value at zero isn't crucial, and different definitions exist: can be H(0)=0, H(0)=1, and H(0)=0.5 and of course, H(0)=cream cheese. needs checking though. -- Tarquin 10:16 Oct 26, 2002 (UTC)
In Japan, it is thought that
- for all
and every image of Heaviside step function is
Koiki Sumi 00:00 15 Sep 2003 (UTC)
- I kind of doubt there's any agreement at all, even in Japan...
i can't find the fourier transform of the heaviside function anywhere...anyone willing to share their expertise :)
Comment at support.
Charles Matthews 13:59, 31 Jan 2004 (UTC)
- Reminds me: I once won five pints of beer on a bet that it was in the textbooks (and drank three of them). As for the comment below, what is in 'the books' is typically wrong or misleading. I suppose the article can try to explain why. Charles Matthews 14:55, 11 Dec 2004 (UTC)
"integral representation of the step function"
I was prettying up that "integral representation of the step function" at the end, and upon looking at it, i don't think it's correct. maybe it is for the Signum function , but i don't think it is for the step function. BTW, if we define the step function strictly in terms of the , i think the Fourier Transform of it comes out nicely. also, the step function should either be undefined for x=0 or be defined to be 1/2 at x=0, but not either 1 or 0. r b-j 03:30, 11 Dec 2004 (UTC)
Fourier transform of the Heaviside Step Function
At the following address you will find the Fourier transform of the Heaviside Step Function http://mathworld.wolfram.com/HeavisideStepFunction.html
- Hmmm - I'm not saying that's wrong. I would say that 1/x is not a locally integrable function. Therefore using it to represent a Schwartz distribution is not in itself a naive kind of definition. The formula therefore needs some commentary: the difference of the delta function and the reciprocal function is a combination that seems to require some discussion. Charles Matthews 12:48, 19 Apr 2005 (UTC)
The function letter?
Why is the function letter in this article a "u"? Everywhere else i've seen an H instead.Boothinator 23:11, 26 Apr 2005 (UTC)
- I was taught with a u. Probably another one of those engineer/mathematcian differences. - Omegatron 23:51, Apr 26, 2005 (UTC)
- Of all the pages linking here, Dirac delta function, Distribution, Continuous Fourier transform, Sufficiency (statistics), Negative and non-negative numbers, Green's function, Sign_function (actually uses h()), Rectangular function and Uniform distribution (continuous) use the H() notation while Z-transform, Two-sided Laplace transform, User:Jacobolus/coordinates and Coordinates (elementary mathematics) use the u() notation. Recurrence plot uses a Θ(). To me, it looks like the H() notation should be used to be more consistant with the rest of Wikipedia.Boothinator 00:52, 27 Apr 2005 (UTC)
- I've seen H and θ. The different notations should be mentioned and referenced. --MarSch 13:12, 30 April 2006 (UTC)
- I think that H is the most commonly used notation in mathematics and θ in physics. Md2perpe 10:39, 3 August 2006 (UTC)
- ...and I think that is the most common definition is signal processing. I, too, would support a consistent definition throughout Wikipedia. I personally like .--Rabbanis 20:46, 8 August 2006 (UTC)
Analytic Exact Form of Unit Step Function
I removed this:
- There are some trials to put analytical functions to numerically calculate Unit Step Function. The study published on  has shown that it is possible to mimic the Unit Step Function. The results were verified using Mathematica software.
It's uninteresting, of restricted applicability, (strictly speaking) incorrect (the inverse trigonometric functions do not have unique definitions) and constitutes original research. EdC 15:14, 4 June 2006 (UTC)
H(0) in the intro paragraph
It feels wrong to define H(0) as 1/2 and then immediately say the H(0) seldom matters and can be defined in various ways. However, it would also feel wrong to show a definition by case analysis which considered only x<0 and x>0. Would it be a horrible idea simply to remove the first displayed formula and just rely on the prose in the first sentence, plus the graph? Henning Makholm 01:37, 26 November 2006 (UTC)
Is it just me, or is it an incredible coinicdence that the "Heaviside" function looks like y = 1, with the negative region "heavier" (i.e. "pushed" down to 0)? The "heavier side", or "heavyside", sounds a lot like "Heaviside".... Timeroot (talk) 04:38, 27 January 2009 (UTC)
It is so painful to label a maths article as needing references,thats why i won't do it. guys, may you add more in-text references? try to get references from several sources. any one with advanced engineering text book may do better...smile :) .... Freshymail-user_talk:fngosa--the-knowledge-defender 18:16, 27 August 2009 (UTC)
Value in 0?
Is the Heaviside step functin defined for x = 0? Looking at the alternartive definition
- Oh sorry, found the section H(0) now. Still wonder about the limit thing though. --Kri (talk) 15:34, 15 October 2009 (UTC)
Actually for the discrete case the value at H(0) does make a difference. I updated the discrete section to say that. As you said, you can fix this approximation by taking the limit from the opposite side. However this approximation doesn't seem to have anything to do with the discrete case, so I removed it from that section. I could have moved it to the "analytic approximations" section but for all x except zero, you don't need the limit. Basically I think this formula is not useful, so I've removed it entirely. Quietbritishjim (talk) 12:35, 11 February 2010 (UTC)
I removed the following assertion from the text, because I think it is false:
In particular, the measurable set
has measure zero in the delta distribution, but its measure under each smooth approximation family becomes larger with increasing k.
If one differentiates the elements of the approximating family, then one does indeed get weak convergence to the delta measure. In fact, these all do converge as distributions as well, since their derivatives are all of the form for a smooth probability distribution η. So I have also removed the following:
While these approximations converge pointwise towards the step function, the implied distributions do not converge to the Heaviside step function in the sense of distributions.
As the lead section rightly says, the value at H(0) is mostly irrelevant, and its value is usually just chosen for concreteness (if at all). I updated the H(0) section to reflect this. I toned down support for H(0)=1/2 (which seemed almost to be promotion of some author's favourite choice, and had a couple of meaningless phrases in it) and just objectively presented the reasons why each choice might be useful.
I took out the bit about using a subscript to denote the value at zero, which the article said "may be used". Well of course it may be used; a number painted in red on your forehead "may be used". Unless it's also true that it actually is used (outside of Wikipedia) its mention here is pointless. What's worse this notation is sometimes used but means something completely different: it means H(x) translated by the subscript. Quietbritishjim (talk) 01:30, 11 February 2010 (UTC)