How to easily create a polynomial function that gives a desired output?

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I am looking for an easy way (formula or algorithm) to create a polynomial function that gives the arbitrary preset output for the first values of x. For instance, the desired output can be $y = 1, 2, 3, 4, 5, 6, 100$ for $x = 1, 2, 3, 4, 5, 6, 7$. I can create one of the many functions by hand as:




$y = x + (x-1)(x-2)(x-3)(x-4)(x-5)(x-6)cdot frac93720.$




But for other desired outputs it is really painstaking. For example, I am working now with the desired output $y = 2, 10, 12, 16, 17, 18, 19, 200, 300$ when $x = 1, 2, 3, 4, 5, 6, 7, 8, 9$.



Notes:



$x$ is always a natural positive number ($x > 0$). It doesn't matter what happens for other values of $x$ (greater than the ones given).

- I am looking for a easy way, as I don't know / I don't have / I have no experience with math related software.

- Also for a polynomial (or similar simple) function, as my mathematical background is quite limited, so I don't know any gamma, delta or other functions, series, etc.

- This quest is simply for recreation, to show friends how there are different solutions to the problems of the type: "Find the next term in this succession"










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  • 5




    Look-up "Lagrange interpolation"
    – Gabriel Romon
    1 hour ago






  • 1




    Welcome to MSE. For some basic information about writing mathematics at this site see, e.g., basic help on mathjax notation, mathjax tutorial and quick reference, main meta site math tutorial and equation editing how-to.
    – José Carlos Santos
    1 hour ago














up vote
3
down vote

favorite












I am looking for an easy way (formula or algorithm) to create a polynomial function that gives the arbitrary preset output for the first values of x. For instance, the desired output can be $y = 1, 2, 3, 4, 5, 6, 100$ for $x = 1, 2, 3, 4, 5, 6, 7$. I can create one of the many functions by hand as:




$y = x + (x-1)(x-2)(x-3)(x-4)(x-5)(x-6)cdot frac93720.$




But for other desired outputs it is really painstaking. For example, I am working now with the desired output $y = 2, 10, 12, 16, 17, 18, 19, 200, 300$ when $x = 1, 2, 3, 4, 5, 6, 7, 8, 9$.



Notes:



$x$ is always a natural positive number ($x > 0$). It doesn't matter what happens for other values of $x$ (greater than the ones given).

- I am looking for a easy way, as I don't know / I don't have / I have no experience with math related software.

- Also for a polynomial (or similar simple) function, as my mathematical background is quite limited, so I don't know any gamma, delta or other functions, series, etc.

- This quest is simply for recreation, to show friends how there are different solutions to the problems of the type: "Find the next term in this succession"










share|cite|improve this question









New contributor




Leonardo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.















  • 5




    Look-up "Lagrange interpolation"
    – Gabriel Romon
    1 hour ago






  • 1




    Welcome to MSE. For some basic information about writing mathematics at this site see, e.g., basic help on mathjax notation, mathjax tutorial and quick reference, main meta site math tutorial and equation editing how-to.
    – José Carlos Santos
    1 hour ago












up vote
3
down vote

favorite









up vote
3
down vote

favorite











I am looking for an easy way (formula or algorithm) to create a polynomial function that gives the arbitrary preset output for the first values of x. For instance, the desired output can be $y = 1, 2, 3, 4, 5, 6, 100$ for $x = 1, 2, 3, 4, 5, 6, 7$. I can create one of the many functions by hand as:




$y = x + (x-1)(x-2)(x-3)(x-4)(x-5)(x-6)cdot frac93720.$




But for other desired outputs it is really painstaking. For example, I am working now with the desired output $y = 2, 10, 12, 16, 17, 18, 19, 200, 300$ when $x = 1, 2, 3, 4, 5, 6, 7, 8, 9$.



Notes:



$x$ is always a natural positive number ($x > 0$). It doesn't matter what happens for other values of $x$ (greater than the ones given).

- I am looking for a easy way, as I don't know / I don't have / I have no experience with math related software.

- Also for a polynomial (or similar simple) function, as my mathematical background is quite limited, so I don't know any gamma, delta or other functions, series, etc.

- This quest is simply for recreation, to show friends how there are different solutions to the problems of the type: "Find the next term in this succession"










share|cite|improve this question









New contributor




Leonardo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.











I am looking for an easy way (formula or algorithm) to create a polynomial function that gives the arbitrary preset output for the first values of x. For instance, the desired output can be $y = 1, 2, 3, 4, 5, 6, 100$ for $x = 1, 2, 3, 4, 5, 6, 7$. I can create one of the many functions by hand as:




$y = x + (x-1)(x-2)(x-3)(x-4)(x-5)(x-6)cdot frac93720.$




But for other desired outputs it is really painstaking. For example, I am working now with the desired output $y = 2, 10, 12, 16, 17, 18, 19, 200, 300$ when $x = 1, 2, 3, 4, 5, 6, 7, 8, 9$.



Notes:



$x$ is always a natural positive number ($x > 0$). It doesn't matter what happens for other values of $x$ (greater than the ones given).

- I am looking for a easy way, as I don't know / I don't have / I have no experience with math related software.

- Also for a polynomial (or similar simple) function, as my mathematical background is quite limited, so I don't know any gamma, delta or other functions, series, etc.

- This quest is simply for recreation, to show friends how there are different solutions to the problems of the type: "Find the next term in this succession"







polynomials






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edited 58 mins ago





















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Leonardo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.






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Check out our Code of Conduct.







  • 5




    Look-up "Lagrange interpolation"
    – Gabriel Romon
    1 hour ago






  • 1




    Welcome to MSE. For some basic information about writing mathematics at this site see, e.g., basic help on mathjax notation, mathjax tutorial and quick reference, main meta site math tutorial and equation editing how-to.
    – José Carlos Santos
    1 hour ago












  • 5




    Look-up "Lagrange interpolation"
    – Gabriel Romon
    1 hour ago






  • 1




    Welcome to MSE. For some basic information about writing mathematics at this site see, e.g., basic help on mathjax notation, mathjax tutorial and quick reference, main meta site math tutorial and equation editing how-to.
    – José Carlos Santos
    1 hour ago







5




5




Look-up "Lagrange interpolation"
– Gabriel Romon
1 hour ago




Look-up "Lagrange interpolation"
– Gabriel Romon
1 hour ago




1




1




Welcome to MSE. For some basic information about writing mathematics at this site see, e.g., basic help on mathjax notation, mathjax tutorial and quick reference, main meta site math tutorial and equation editing how-to.
– José Carlos Santos
1 hour ago




Welcome to MSE. For some basic information about writing mathematics at this site see, e.g., basic help on mathjax notation, mathjax tutorial and quick reference, main meta site math tutorial and equation editing how-to.
– José Carlos Santos
1 hour ago










2 Answers
2






active

oldest

votes

















up vote
2
down vote













As mentioned in a comment, the key is "Lagrange Interpolation". (See, for instance, Wikipedia or MathWorld.) The idea is straightforward: Build a polynomial out of parts, most of which go away with each input, then make the last part do what it needs to do.



Suppose you want the three (distinct) inputs $a$, $b$, $c$ to give the three outputs $p$, $q$, $r$. The polynomial you want has the form



$$h(x-b)(x-c) + j(x-c)(x-a) + k(x-a)(x-b) tag$star$$$



where $h$, $j$, $k$ are some as-yet-undetermined constants.



When $x=a$, two terms of $(star)$ vanish, leaving $h(a-b)(a-c)$; likewise, $x=b$ yields $j(b-c)(b-a)$, while $x=c$ yields $k(c-a)(c-b)$. So, just choose $h$, $j$, $k$ to give the outputs you desire:



$$beginalign
h(a-b)(a-c) = p qquadtoqquad h = fracp(a-b)(a-c) \[4pt]
j(b-c)(b-a) = q qquadtoqquad ,j = fracq(b-c)(b-a) \[4pt]
k(c-a)(c-b) = r qquadtoqquad k = fracr(c-a)(c-b)
endalign$$



Thus, we can re-write $(star)$ informally as
$requirecancel$
$$p;fraccancel(x-a)(x-b)(x-c)cancel(a-a)(a-b)(a-c)
;+;q;frac(x-a)cancel(x-b)(x-c)(b-a)cancel(b-b))(b-c)
;+;r;frac(x-a)(x-b)cancel(x-c)(c-a)(c-b)cancel(c-c) tag$starstar$$$



Clearly, this kind of thing can be extended to any number of inputs and outputs.






share|cite|improve this answer






















  • Sweet ! I was struggling trying to understand Lagrange Interpolation in Wikipedia, as suggested by @Gabriel Romon, and you've made it crystal clear.
    – Leonardo
    45 mins ago

















up vote
1
down vote













As Gabriel Romon commented: Lagrange interpolation does the trick.



The polynomials form a vector space (which works very similar to the 3D coordinate space) where the coefficients work as coordinates and the monomials including $x^0=1$ as orthogonal standard base. The Lagrange polynomials form another one. They are constructed from your given sampling points ($x$-values). The nice thing is that each Lagrange polynomial is zero in all but one sampling points. And in this sampling point it has the value $1$. So you can multiply each of the Lagrange polynomials with the function value at the sampling point where it has a nonzero value and sum over all these polynomials.



This looks as easy as
$$
y = sum_i=1^n y_i cdot ell_i(x).
$$

As you can see there is no $x_i$ in this formula any more. This makes it possible to precompute the Lagrange polynomials $ell_i$ and solve all your problems together in a secound step, as long as all functions are defined using the same sampling points.






share|cite|improve this answer




















  • That would save a lot of time! A good extension to @Blue answer! Great !
    – Leonardo
    24 mins ago











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2 Answers
2






active

oldest

votes








2 Answers
2






active

oldest

votes









active

oldest

votes






active

oldest

votes








up vote
2
down vote













As mentioned in a comment, the key is "Lagrange Interpolation". (See, for instance, Wikipedia or MathWorld.) The idea is straightforward: Build a polynomial out of parts, most of which go away with each input, then make the last part do what it needs to do.



Suppose you want the three (distinct) inputs $a$, $b$, $c$ to give the three outputs $p$, $q$, $r$. The polynomial you want has the form



$$h(x-b)(x-c) + j(x-c)(x-a) + k(x-a)(x-b) tag$star$$$



where $h$, $j$, $k$ are some as-yet-undetermined constants.



When $x=a$, two terms of $(star)$ vanish, leaving $h(a-b)(a-c)$; likewise, $x=b$ yields $j(b-c)(b-a)$, while $x=c$ yields $k(c-a)(c-b)$. So, just choose $h$, $j$, $k$ to give the outputs you desire:



$$beginalign
h(a-b)(a-c) = p qquadtoqquad h = fracp(a-b)(a-c) \[4pt]
j(b-c)(b-a) = q qquadtoqquad ,j = fracq(b-c)(b-a) \[4pt]
k(c-a)(c-b) = r qquadtoqquad k = fracr(c-a)(c-b)
endalign$$



Thus, we can re-write $(star)$ informally as
$requirecancel$
$$p;fraccancel(x-a)(x-b)(x-c)cancel(a-a)(a-b)(a-c)
;+;q;frac(x-a)cancel(x-b)(x-c)(b-a)cancel(b-b))(b-c)
;+;r;frac(x-a)(x-b)cancel(x-c)(c-a)(c-b)cancel(c-c) tag$starstar$$$



Clearly, this kind of thing can be extended to any number of inputs and outputs.






share|cite|improve this answer






















  • Sweet ! I was struggling trying to understand Lagrange Interpolation in Wikipedia, as suggested by @Gabriel Romon, and you've made it crystal clear.
    – Leonardo
    45 mins ago














up vote
2
down vote













As mentioned in a comment, the key is "Lagrange Interpolation". (See, for instance, Wikipedia or MathWorld.) The idea is straightforward: Build a polynomial out of parts, most of which go away with each input, then make the last part do what it needs to do.



Suppose you want the three (distinct) inputs $a$, $b$, $c$ to give the three outputs $p$, $q$, $r$. The polynomial you want has the form



$$h(x-b)(x-c) + j(x-c)(x-a) + k(x-a)(x-b) tag$star$$$



where $h$, $j$, $k$ are some as-yet-undetermined constants.



When $x=a$, two terms of $(star)$ vanish, leaving $h(a-b)(a-c)$; likewise, $x=b$ yields $j(b-c)(b-a)$, while $x=c$ yields $k(c-a)(c-b)$. So, just choose $h$, $j$, $k$ to give the outputs you desire:



$$beginalign
h(a-b)(a-c) = p qquadtoqquad h = fracp(a-b)(a-c) \[4pt]
j(b-c)(b-a) = q qquadtoqquad ,j = fracq(b-c)(b-a) \[4pt]
k(c-a)(c-b) = r qquadtoqquad k = fracr(c-a)(c-b)
endalign$$



Thus, we can re-write $(star)$ informally as
$requirecancel$
$$p;fraccancel(x-a)(x-b)(x-c)cancel(a-a)(a-b)(a-c)
;+;q;frac(x-a)cancel(x-b)(x-c)(b-a)cancel(b-b))(b-c)
;+;r;frac(x-a)(x-b)cancel(x-c)(c-a)(c-b)cancel(c-c) tag$starstar$$$



Clearly, this kind of thing can be extended to any number of inputs and outputs.






share|cite|improve this answer






















  • Sweet ! I was struggling trying to understand Lagrange Interpolation in Wikipedia, as suggested by @Gabriel Romon, and you've made it crystal clear.
    – Leonardo
    45 mins ago












up vote
2
down vote










up vote
2
down vote









As mentioned in a comment, the key is "Lagrange Interpolation". (See, for instance, Wikipedia or MathWorld.) The idea is straightforward: Build a polynomial out of parts, most of which go away with each input, then make the last part do what it needs to do.



Suppose you want the three (distinct) inputs $a$, $b$, $c$ to give the three outputs $p$, $q$, $r$. The polynomial you want has the form



$$h(x-b)(x-c) + j(x-c)(x-a) + k(x-a)(x-b) tag$star$$$



where $h$, $j$, $k$ are some as-yet-undetermined constants.



When $x=a$, two terms of $(star)$ vanish, leaving $h(a-b)(a-c)$; likewise, $x=b$ yields $j(b-c)(b-a)$, while $x=c$ yields $k(c-a)(c-b)$. So, just choose $h$, $j$, $k$ to give the outputs you desire:



$$beginalign
h(a-b)(a-c) = p qquadtoqquad h = fracp(a-b)(a-c) \[4pt]
j(b-c)(b-a) = q qquadtoqquad ,j = fracq(b-c)(b-a) \[4pt]
k(c-a)(c-b) = r qquadtoqquad k = fracr(c-a)(c-b)
endalign$$



Thus, we can re-write $(star)$ informally as
$requirecancel$
$$p;fraccancel(x-a)(x-b)(x-c)cancel(a-a)(a-b)(a-c)
;+;q;frac(x-a)cancel(x-b)(x-c)(b-a)cancel(b-b))(b-c)
;+;r;frac(x-a)(x-b)cancel(x-c)(c-a)(c-b)cancel(c-c) tag$starstar$$$



Clearly, this kind of thing can be extended to any number of inputs and outputs.






share|cite|improve this answer














As mentioned in a comment, the key is "Lagrange Interpolation". (See, for instance, Wikipedia or MathWorld.) The idea is straightforward: Build a polynomial out of parts, most of which go away with each input, then make the last part do what it needs to do.



Suppose you want the three (distinct) inputs $a$, $b$, $c$ to give the three outputs $p$, $q$, $r$. The polynomial you want has the form



$$h(x-b)(x-c) + j(x-c)(x-a) + k(x-a)(x-b) tag$star$$$



where $h$, $j$, $k$ are some as-yet-undetermined constants.



When $x=a$, two terms of $(star)$ vanish, leaving $h(a-b)(a-c)$; likewise, $x=b$ yields $j(b-c)(b-a)$, while $x=c$ yields $k(c-a)(c-b)$. So, just choose $h$, $j$, $k$ to give the outputs you desire:



$$beginalign
h(a-b)(a-c) = p qquadtoqquad h = fracp(a-b)(a-c) \[4pt]
j(b-c)(b-a) = q qquadtoqquad ,j = fracq(b-c)(b-a) \[4pt]
k(c-a)(c-b) = r qquadtoqquad k = fracr(c-a)(c-b)
endalign$$



Thus, we can re-write $(star)$ informally as
$requirecancel$
$$p;fraccancel(x-a)(x-b)(x-c)cancel(a-a)(a-b)(a-c)
;+;q;frac(x-a)cancel(x-b)(x-c)(b-a)cancel(b-b))(b-c)
;+;r;frac(x-a)(x-b)cancel(x-c)(c-a)(c-b)cancel(c-c) tag$starstar$$$



Clearly, this kind of thing can be extended to any number of inputs and outputs.







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited 52 mins ago

























answered 57 mins ago









Blue

44.4k868142




44.4k868142











  • Sweet ! I was struggling trying to understand Lagrange Interpolation in Wikipedia, as suggested by @Gabriel Romon, and you've made it crystal clear.
    – Leonardo
    45 mins ago
















  • Sweet ! I was struggling trying to understand Lagrange Interpolation in Wikipedia, as suggested by @Gabriel Romon, and you've made it crystal clear.
    – Leonardo
    45 mins ago















Sweet ! I was struggling trying to understand Lagrange Interpolation in Wikipedia, as suggested by @Gabriel Romon, and you've made it crystal clear.
– Leonardo
45 mins ago




Sweet ! I was struggling trying to understand Lagrange Interpolation in Wikipedia, as suggested by @Gabriel Romon, and you've made it crystal clear.
– Leonardo
45 mins ago










up vote
1
down vote













As Gabriel Romon commented: Lagrange interpolation does the trick.



The polynomials form a vector space (which works very similar to the 3D coordinate space) where the coefficients work as coordinates and the monomials including $x^0=1$ as orthogonal standard base. The Lagrange polynomials form another one. They are constructed from your given sampling points ($x$-values). The nice thing is that each Lagrange polynomial is zero in all but one sampling points. And in this sampling point it has the value $1$. So you can multiply each of the Lagrange polynomials with the function value at the sampling point where it has a nonzero value and sum over all these polynomials.



This looks as easy as
$$
y = sum_i=1^n y_i cdot ell_i(x).
$$

As you can see there is no $x_i$ in this formula any more. This makes it possible to precompute the Lagrange polynomials $ell_i$ and solve all your problems together in a secound step, as long as all functions are defined using the same sampling points.






share|cite|improve this answer




















  • That would save a lot of time! A good extension to @Blue answer! Great !
    – Leonardo
    24 mins ago















up vote
1
down vote













As Gabriel Romon commented: Lagrange interpolation does the trick.



The polynomials form a vector space (which works very similar to the 3D coordinate space) where the coefficients work as coordinates and the monomials including $x^0=1$ as orthogonal standard base. The Lagrange polynomials form another one. They are constructed from your given sampling points ($x$-values). The nice thing is that each Lagrange polynomial is zero in all but one sampling points. And in this sampling point it has the value $1$. So you can multiply each of the Lagrange polynomials with the function value at the sampling point where it has a nonzero value and sum over all these polynomials.



This looks as easy as
$$
y = sum_i=1^n y_i cdot ell_i(x).
$$

As you can see there is no $x_i$ in this formula any more. This makes it possible to precompute the Lagrange polynomials $ell_i$ and solve all your problems together in a secound step, as long as all functions are defined using the same sampling points.






share|cite|improve this answer




















  • That would save a lot of time! A good extension to @Blue answer! Great !
    – Leonardo
    24 mins ago













up vote
1
down vote










up vote
1
down vote









As Gabriel Romon commented: Lagrange interpolation does the trick.



The polynomials form a vector space (which works very similar to the 3D coordinate space) where the coefficients work as coordinates and the monomials including $x^0=1$ as orthogonal standard base. The Lagrange polynomials form another one. They are constructed from your given sampling points ($x$-values). The nice thing is that each Lagrange polynomial is zero in all but one sampling points. And in this sampling point it has the value $1$. So you can multiply each of the Lagrange polynomials with the function value at the sampling point where it has a nonzero value and sum over all these polynomials.



This looks as easy as
$$
y = sum_i=1^n y_i cdot ell_i(x).
$$

As you can see there is no $x_i$ in this formula any more. This makes it possible to precompute the Lagrange polynomials $ell_i$ and solve all your problems together in a secound step, as long as all functions are defined using the same sampling points.






share|cite|improve this answer












As Gabriel Romon commented: Lagrange interpolation does the trick.



The polynomials form a vector space (which works very similar to the 3D coordinate space) where the coefficients work as coordinates and the monomials including $x^0=1$ as orthogonal standard base. The Lagrange polynomials form another one. They are constructed from your given sampling points ($x$-values). The nice thing is that each Lagrange polynomial is zero in all but one sampling points. And in this sampling point it has the value $1$. So you can multiply each of the Lagrange polynomials with the function value at the sampling point where it has a nonzero value and sum over all these polynomials.



This looks as easy as
$$
y = sum_i=1^n y_i cdot ell_i(x).
$$

As you can see there is no $x_i$ in this formula any more. This makes it possible to precompute the Lagrange polynomials $ell_i$ and solve all your problems together in a secound step, as long as all functions are defined using the same sampling points.







share|cite|improve this answer












share|cite|improve this answer



share|cite|improve this answer










answered 37 mins ago









Keinstein

39118




39118











  • That would save a lot of time! A good extension to @Blue answer! Great !
    – Leonardo
    24 mins ago

















  • That would save a lot of time! A good extension to @Blue answer! Great !
    – Leonardo
    24 mins ago
















That would save a lot of time! A good extension to @Blue answer! Great !
– Leonardo
24 mins ago





That would save a lot of time! A good extension to @Blue answer! Great !
– Leonardo
24 mins ago











Leonardo is a new contributor. Be nice, and check out our Code of Conduct.









 

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Leonardo is a new contributor. Be nice, and check out our Code of Conduct.












Leonardo is a new contributor. Be nice, and check out our Code of Conduct.











Leonardo is a new contributor. Be nice, and check out our Code of Conduct.













 


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