Nice result that I can't prove: $int_{-2}^{2} tan^{-1} bigg( exp(-x²text{erf}(x)) bigg) ;dx=pi$
I'm always trying to find the integral representation of $pi$ using some interesting special function, at this time I have got the below representation
$$I=int_{-2}^{2} tan^{-1} bigg( exp(-x^2text{erf}(x)) bigg) ;dx=pi$$ and according to Wolfram alpha its numerical value is very close to $pi$.
The problem that I have accrossed is the closed form of : $exp(-x^2text{erf}(x))$ in the range $[-2,2]$ , I have used $$mathrm{erf}!left(xright)^2approx1-expBig(-frac 4 {pi},frac{1+alpha x^2}{1+beta x^2},x^2 Big)$$ $$alpha=frac{10-pi ^2}{5 (pi -3) pi }$$ $$beta=frac{120-60 pi +7 pi ^2}{15 (pi -3) pi }.$$ The value of the corresponding error function is $1.1568times 10^{-7}$ that is to say almost $250$ times smaller than with the initial formulation. The maximum error is $0.00035$. But when we try to replace that approximation in $tan^{-1}$ for evaluation the formula would be complicat to integrate it. My question here is if this result is known. Is it $pi$? If no any simple way for integration ?
integration probability-distributions approximation pi error-function
add a comment |
I'm always trying to find the integral representation of $pi$ using some interesting special function, at this time I have got the below representation
$$I=int_{-2}^{2} tan^{-1} bigg( exp(-x^2text{erf}(x)) bigg) ;dx=pi$$ and according to Wolfram alpha its numerical value is very close to $pi$.
The problem that I have accrossed is the closed form of : $exp(-x^2text{erf}(x))$ in the range $[-2,2]$ , I have used $$mathrm{erf}!left(xright)^2approx1-expBig(-frac 4 {pi},frac{1+alpha x^2}{1+beta x^2},x^2 Big)$$ $$alpha=frac{10-pi ^2}{5 (pi -3) pi }$$ $$beta=frac{120-60 pi +7 pi ^2}{15 (pi -3) pi }.$$ The value of the corresponding error function is $1.1568times 10^{-7}$ that is to say almost $250$ times smaller than with the initial formulation. The maximum error is $0.00035$. But when we try to replace that approximation in $tan^{-1}$ for evaluation the formula would be complicat to integrate it. My question here is if this result is known. Is it $pi$? If no any simple way for integration ?
integration probability-distributions approximation pi error-function
That approximation of the erf is out by a factor of 250!? That's not a very good approximation then ... or have I misunderstood you?
– AmbretteOrrisey
Dec 3 '18 at 22:03
add a comment |
I'm always trying to find the integral representation of $pi$ using some interesting special function, at this time I have got the below representation
$$I=int_{-2}^{2} tan^{-1} bigg( exp(-x^2text{erf}(x)) bigg) ;dx=pi$$ and according to Wolfram alpha its numerical value is very close to $pi$.
The problem that I have accrossed is the closed form of : $exp(-x^2text{erf}(x))$ in the range $[-2,2]$ , I have used $$mathrm{erf}!left(xright)^2approx1-expBig(-frac 4 {pi},frac{1+alpha x^2}{1+beta x^2},x^2 Big)$$ $$alpha=frac{10-pi ^2}{5 (pi -3) pi }$$ $$beta=frac{120-60 pi +7 pi ^2}{15 (pi -3) pi }.$$ The value of the corresponding error function is $1.1568times 10^{-7}$ that is to say almost $250$ times smaller than with the initial formulation. The maximum error is $0.00035$. But when we try to replace that approximation in $tan^{-1}$ for evaluation the formula would be complicat to integrate it. My question here is if this result is known. Is it $pi$? If no any simple way for integration ?
integration probability-distributions approximation pi error-function
I'm always trying to find the integral representation of $pi$ using some interesting special function, at this time I have got the below representation
$$I=int_{-2}^{2} tan^{-1} bigg( exp(-x^2text{erf}(x)) bigg) ;dx=pi$$ and according to Wolfram alpha its numerical value is very close to $pi$.
The problem that I have accrossed is the closed form of : $exp(-x^2text{erf}(x))$ in the range $[-2,2]$ , I have used $$mathrm{erf}!left(xright)^2approx1-expBig(-frac 4 {pi},frac{1+alpha x^2}{1+beta x^2},x^2 Big)$$ $$alpha=frac{10-pi ^2}{5 (pi -3) pi }$$ $$beta=frac{120-60 pi +7 pi ^2}{15 (pi -3) pi }.$$ The value of the corresponding error function is $1.1568times 10^{-7}$ that is to say almost $250$ times smaller than with the initial formulation. The maximum error is $0.00035$. But when we try to replace that approximation in $tan^{-1}$ for evaluation the formula would be complicat to integrate it. My question here is if this result is known. Is it $pi$? If no any simple way for integration ?
integration probability-distributions approximation pi error-function
integration probability-distributions approximation pi error-function
edited Dec 9 '18 at 15:54
Robert Z
93.8k1061132
93.8k1061132
asked Dec 3 '18 at 19:34
zeraoulia rafikzeraoulia rafik
2,38711029
2,38711029
That approximation of the erf is out by a factor of 250!? That's not a very good approximation then ... or have I misunderstood you?
– AmbretteOrrisey
Dec 3 '18 at 22:03
add a comment |
That approximation of the erf is out by a factor of 250!? That's not a very good approximation then ... or have I misunderstood you?
– AmbretteOrrisey
Dec 3 '18 at 22:03
That approximation of the erf is out by a factor of 250!? That's not a very good approximation then ... or have I misunderstood you?
– AmbretteOrrisey
Dec 3 '18 at 22:03
That approximation of the erf is out by a factor of 250!? That's not a very good approximation then ... or have I misunderstood you?
– AmbretteOrrisey
Dec 3 '18 at 22:03
add a comment |
1 Answer
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Yes, the integral $I$ is equal to $pi$. Note that for $t>0$
$$arctan(t)+arctan(1/t)=pi/2.$$
and after letting $y=-x$ we get
$$I:=int_{-2}^{2} tan^{-1} bigg( exp(-x^2text{erf}(x)) bigg) ;dx
=int_{-2}^{2} tan^{-1} bigg( exp(y^2text{erf}(y)) bigg) ;dy.$$
Hence
$$I=frac{1}{2}int_{-2}^{2}arctan(t(x))+arctan(1/t(x))dx=frac{pi/2cdot 4}{2}=pi$$
where $t(x)=exp(-x^2text{erf}(x))$.
The same argument holds if we replace $-x^2text{erf}(x)$ with any odd function (see Michael Seifert's comment below).
1
Note that this argument would still work, and the integral would still be $pi$, if you replaced $x^2 mathrm{erf}(x)$ by any odd function $f(x)$.
– Michael Seifert
Dec 3 '18 at 20:01
Attractive answer
– zeraoulia rafik
Dec 3 '18 at 20:07
add a comment |
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1 Answer
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1 Answer
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votes
Yes, the integral $I$ is equal to $pi$. Note that for $t>0$
$$arctan(t)+arctan(1/t)=pi/2.$$
and after letting $y=-x$ we get
$$I:=int_{-2}^{2} tan^{-1} bigg( exp(-x^2text{erf}(x)) bigg) ;dx
=int_{-2}^{2} tan^{-1} bigg( exp(y^2text{erf}(y)) bigg) ;dy.$$
Hence
$$I=frac{1}{2}int_{-2}^{2}arctan(t(x))+arctan(1/t(x))dx=frac{pi/2cdot 4}{2}=pi$$
where $t(x)=exp(-x^2text{erf}(x))$.
The same argument holds if we replace $-x^2text{erf}(x)$ with any odd function (see Michael Seifert's comment below).
1
Note that this argument would still work, and the integral would still be $pi$, if you replaced $x^2 mathrm{erf}(x)$ by any odd function $f(x)$.
– Michael Seifert
Dec 3 '18 at 20:01
Attractive answer
– zeraoulia rafik
Dec 3 '18 at 20:07
add a comment |
Yes, the integral $I$ is equal to $pi$. Note that for $t>0$
$$arctan(t)+arctan(1/t)=pi/2.$$
and after letting $y=-x$ we get
$$I:=int_{-2}^{2} tan^{-1} bigg( exp(-x^2text{erf}(x)) bigg) ;dx
=int_{-2}^{2} tan^{-1} bigg( exp(y^2text{erf}(y)) bigg) ;dy.$$
Hence
$$I=frac{1}{2}int_{-2}^{2}arctan(t(x))+arctan(1/t(x))dx=frac{pi/2cdot 4}{2}=pi$$
where $t(x)=exp(-x^2text{erf}(x))$.
The same argument holds if we replace $-x^2text{erf}(x)$ with any odd function (see Michael Seifert's comment below).
1
Note that this argument would still work, and the integral would still be $pi$, if you replaced $x^2 mathrm{erf}(x)$ by any odd function $f(x)$.
– Michael Seifert
Dec 3 '18 at 20:01
Attractive answer
– zeraoulia rafik
Dec 3 '18 at 20:07
add a comment |
Yes, the integral $I$ is equal to $pi$. Note that for $t>0$
$$arctan(t)+arctan(1/t)=pi/2.$$
and after letting $y=-x$ we get
$$I:=int_{-2}^{2} tan^{-1} bigg( exp(-x^2text{erf}(x)) bigg) ;dx
=int_{-2}^{2} tan^{-1} bigg( exp(y^2text{erf}(y)) bigg) ;dy.$$
Hence
$$I=frac{1}{2}int_{-2}^{2}arctan(t(x))+arctan(1/t(x))dx=frac{pi/2cdot 4}{2}=pi$$
where $t(x)=exp(-x^2text{erf}(x))$.
The same argument holds if we replace $-x^2text{erf}(x)$ with any odd function (see Michael Seifert's comment below).
Yes, the integral $I$ is equal to $pi$. Note that for $t>0$
$$arctan(t)+arctan(1/t)=pi/2.$$
and after letting $y=-x$ we get
$$I:=int_{-2}^{2} tan^{-1} bigg( exp(-x^2text{erf}(x)) bigg) ;dx
=int_{-2}^{2} tan^{-1} bigg( exp(y^2text{erf}(y)) bigg) ;dy.$$
Hence
$$I=frac{1}{2}int_{-2}^{2}arctan(t(x))+arctan(1/t(x))dx=frac{pi/2cdot 4}{2}=pi$$
where $t(x)=exp(-x^2text{erf}(x))$.
The same argument holds if we replace $-x^2text{erf}(x)$ with any odd function (see Michael Seifert's comment below).
edited Dec 4 '18 at 5:20
answered Dec 3 '18 at 19:55
Robert ZRobert Z
93.8k1061132
93.8k1061132
1
Note that this argument would still work, and the integral would still be $pi$, if you replaced $x^2 mathrm{erf}(x)$ by any odd function $f(x)$.
– Michael Seifert
Dec 3 '18 at 20:01
Attractive answer
– zeraoulia rafik
Dec 3 '18 at 20:07
add a comment |
1
Note that this argument would still work, and the integral would still be $pi$, if you replaced $x^2 mathrm{erf}(x)$ by any odd function $f(x)$.
– Michael Seifert
Dec 3 '18 at 20:01
Attractive answer
– zeraoulia rafik
Dec 3 '18 at 20:07
1
1
Note that this argument would still work, and the integral would still be $pi$, if you replaced $x^2 mathrm{erf}(x)$ by any odd function $f(x)$.
– Michael Seifert
Dec 3 '18 at 20:01
Note that this argument would still work, and the integral would still be $pi$, if you replaced $x^2 mathrm{erf}(x)$ by any odd function $f(x)$.
– Michael Seifert
Dec 3 '18 at 20:01
Attractive answer
– zeraoulia rafik
Dec 3 '18 at 20:07
Attractive answer
– zeraoulia rafik
Dec 3 '18 at 20:07
add a comment |
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That approximation of the erf is out by a factor of 250!? That's not a very good approximation then ... or have I misunderstood you?
– AmbretteOrrisey
Dec 3 '18 at 22:03