What is Differenciation and How Does It Verify Finite Polynomials?

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Differenciation, a method claimed as original by the author, is proposed as a way to verify finite polynomials. The discussion reveals that this method relates closely to the Newton series, allowing for the verification of polynomial expressions with minimal logic. Users express curiosity and provide feedback, noting the simplicity of the method, which could be executed by a computer. The conversation emphasizes the importance of deriving concepts independently to enhance understanding. Overall, the method's potential applications in discrete mathematics and its connection to existing theories are acknowledged.
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The above is not a spelling mistake as I am referring to differenciation rather than differentiation. As to the best of my knowledge, no one else has used the same term nor developed a similar method; and so I claim it as my own till challenged.
Using differenciation, one can verify the expression of any finite polynomial.

I put a lot of work in trying to write up an explanation for my method...so it's best seen in the word document attached. But I still don't think it's perfect.
Please post your views and understanding of this. I would like any feedback.
 

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Using differenciation, one can verify the expression of any finite polynomial.
I can't figure out what this sentence is supposed to mean.
I haven't tried downloading your zip file. I'm guessing you're reproducing the theory of difference equations, or possibly have rediscovered some form of Newton series.
 
Yes; it is the Newton series...but in a primitive form. Thanks for telling me. I didn't know how to search for it or identify it.

That sentence means that you can use the Newton series method to check the formula for any function; assuming it is a finite polynomial and has rational inputs and outputs.
For example, the sum of natural numbers. If one didn't know any theory behind the derivation; this method could yield n^2 /2 +n/2 by calculation with minimum logic involved.
So simple that a computer could derive the formula.

Thanks again for identifying it! I was hoping I was the first...but I guess Newton bet me! :)
 
I've looked at the article, I'll say it's much better written than I expected from a *.doc file posted on the internet!

There's no better way to understand (and to eventually further) a subject than to derive it for yourself, so hopefully you'll continue your study / research, and a lead on existing knowledge will surely help. Sometimes just having good notation makes all the difference!

If nothing else, I think differences are fun -- and the fact of analogies with differentials is interesting -- although I've only spent a little bit of time with them. And they certainly can be very useful in discrete math.
 
Thanks! I actually used the latest Word 2007 to design the document, and then converted it into the old format for uploading.
 
We all know the definition of n-dimensional topological manifold uses open sets and homeomorphisms onto the image as open set in ##\mathbb R^n##. It should be possible to reformulate the definition of n-dimensional topological manifold using closed sets on the manifold's topology and on ##\mathbb R^n## ? I'm positive for this. Perhaps the definition of smooth manifold would be problematic, though.

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