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Re: Re: New Analytical Functions - Mathematica Verified
*To*: mathgroup at smc.vnet.net
*Subject*: [mg66967] Re: [mg66916] Re: New Analytical Functions - Mathematica Verified
*From*: Daniel Lichtblau <danl at wolfram.com>
*Date*: Mon, 5 Jun 2006 03:48:35 -0400 (EDT)
*References*: <200605280104.VAA23436@smc.vnet.net> <200606011055.GAA20733@smc.vnet.net> <e5osg1$hvp$1@smc.vnet.net> <200606030726.DAA17310@smc.vnet.net>
*Sender*: owner-wri-mathgroup at wolfram.com
Mohamed Al-Dabbagh wrote:
> Daniel Lichtblau wrote:
>
>
>>They will change the behavior of its derivatives. Actually I think I did
>>not want to use the DiracDelta component in that particular definition
>>(or else to use further derivatives thereof in the definition for higher
>>derivatives of FractionalPart).
>>...........................
>>...........................
>>Did you try it?
>>
>
>
> Dan,
>
> Your usage of DiracDelta has made some remarkable correction for the
> result, but on a very high cost of runtime! I have made some
> experiments and wanted to publish them. You should remember that my
> paper:
>
> http://dabbagh2.fortunecity.com/disc
>
> has proved that the derivative of the fractional part of any function
> is the SAME as derivative of that function WITHOUT involving in the
> calculation of fractional part!
This is not exactly new. The function FractionalPart[f[x]] is
differentiable wherever f[x] is differentiable except where it takes on
integer (or, in the complex plane, Gaussian integer) values.
At such points one might regard the derivative as undefined, or as a
generalized function in terms of derivatives of delta functions,
depending on the situation at hand. One often sees FractionalPart used
for e.g. sawtooth waves, and in that setting a generalized function
derivative is often appropriate.
> When I used your improvement using Dirac Delta, a very substantial
> improvement occurred on the numerical results. HOWEVER, this lead to
> some very long delays. To the extent that calculating 5th derivative of
> the FractionalPart(x^5) to 1000 places of decimal would take about ONE
> HOUR!!!! Here are some results I arranged it in a page prepared for
> you:
>
> http://dabbagh2.fortunecity.com/lichtblau/
>
> You will see how my formulas are A LOT faster.
>
>
> Mohamed Al-Dabbagh
First let me correct my derivatives (or at least post what I think are
the correct ones).
Derivative[1][FractionalPart][x_] := 1 - DiracDelta[x]
Derivative[n_Integer /; n>1][FractionalPart][x_] :=
(-1)^n*Derivative[DiracDelta[x]]
Now we use your function f.
In[3]:= f[x_] := x^5
In[4]:= gMath[x_] := FractionalPart[f[x]]
In[5]:= InputForm[Timing[gMath''[12.2`400]]]
Out[5]//InputForm=
{0.003999999999999998*Second,
36316.95999999999999999999999999999999999999999\
99999999999999999999999999999999999999999999999999999999999999999999999999999\
99999999999999999999999999999999999999999999999999999999999999999999999999999\
99999999999999999999999999999999999999999999999999999999999999999999999999999\
99999999999999999999999999999999999999999999999999999999999999999999999999999\
99999999999999999999999999999999999999999999999999999999999998868`399.5228787\
4528037}
So it takes a fraction of a second. Offhand I do not know why it appears
to run so slow for you.
Here is the result for the slightly more complicated example, both for
evaluating second and fifth derivatives.
In[8]:= f[x_] := x^5*Sin[x]^2
In[10]:= InputForm[Timing[gMath''[12.2`400]]]
Out[10]//InputForm=
{0.*Second,
258282.7295151941533077499484389228239911198853695416606571789553\
97340348154747842920564555894547008803556440086166245643590282093764764200190\
36636044752758309971369144877274629804969160115275382411797649612521530487913\
14021423969924741654432978075641339718450969747617369938122882505861900120631\
23291336171292192057571061244505228564074008530150250653359154263365233552077\
75165520042239719014756718443621091152`398.1608559226428}
In[11]:= InputForm[Timing[Derivative[5][gMath][12.2`400]]]
Out[11]//InputForm=
{0.064004*Second,
-5.08650128579910493665046315290795289078198431826789276935\
82833885062256473165463289248429898024173337160137072344086983520144149450609\
25117527136634188560981519715993806959080731375558227844064929448344771904044\
99542455152362012447722945323920015084363270028976459194249211406113484752274\
39553483871787782701218811066558362577548299391921139619721479189052606484281\
5379262528773061529913587801452056996643588005`398.3053093021263*^6}
At the bottom of your note you say: "Now you understand how powerful my
formulas are compared to the existing ones you use in Mathematica."
While I am at a loss to understand why the computations are so slow when
you run them, I think you are vastly overstating the case here.
Differentiation in Mathematica by default does but little with
discontinuous functions such as FractionalPart. But as seen above a user
can readily add derivatives to suit ones needs, and evaluations
involving those derivatives seem (to me) to be reasonably fast.
Daniel Lichtblau
Wolfram Research
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