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I'm not very expert in math, but I have a curiosity that could help me many times .. Is there any way to find a function, even just similar, from a set of values?

example: I have some values (x, y):

{(200, 11), (72, 5), (36,3), (28,3), (18,2), (12,2), ...}

what is the function that can return these values and all others who follow this trend on a graph, more easily and better possible?

thank you, hello!

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@Mo: dunno, that one was a tad simpler since his data already looked awfully linear... but I won't object if people vote to close this one. –  J. M. Dec 3 '10 at 2:26
    
I get these pairs of values from two sensors and would like to find a simple function that describes the relationship between these pairs of numbers and then to estimate the values without having to take each time, but I can not get values in a sequence where x = 1,2,3 , 4 ... as in that question –  frx08 Dec 3 '10 at 2:40
    
@J.M: Yes, I did not cast a close vote because I wasn't sure. –  Aryabhata Dec 3 '10 at 5:11
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Can you describe exactly what these sensors do? Some people here are very good in physics and might be possible to extract theoretical relations. –  AD. Dec 3 '10 at 5:18
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1 Answer 1

up vote 4 down vote accepted

Assuming those values came from a polynomial, what you want to do is polynomial interpolation.

In this case, since you have six points, the degree of the polynomial is at most five, since six coefficients are needed to uniquely determine a quintic.

Wolfram Alpha is able to determine interpolating polynomials from given data, e.g. this.

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thanks very much, is there a way to find a simple function that comes close to this graph? eg. totally random f(x) = ln|2x+3/5x^2| –  frx08 Dec 3 '10 at 2:48
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@frx: That is in more ways than one a more difficult question. If you don't have a "guess" already, it's hard to tell since many different functions can generate the same data. –  J. M. Dec 3 '10 at 2:51
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J.M., I don't think the interpolating polynomial is what the OP is looking for. It sounds to me like he wants some kind of regression. –  Qiaochu Yuan Dec 3 '10 at 3:21
    
@Qiaochu: without knowing either the physical process that generated the data, or making an assumption on the form of the function that generated the data, your guess is as good as mine. –  J. M. Dec 3 '10 at 5:04
    
I have a "black box" sensor, connected to a potentiometer that gives me a value for the direction of a servo, I noticed that the value is offset by a number (eg 200 -> 11, 72 -> 5) and I wanted to understand if it was possible to solve this error from outside this box approximating the value of error that could return from a given parameter. Thanks to all. EDIT: I found this tool, It could help me? xuru.org/rt/NLR.asp –  frx08 Dec 3 '10 at 10:25
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