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J. M.
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I need to numerically evaluate the integral below: \begin{equation} \int_0^\infty sinc'(xr) r \sqrt{E(r)} dr, \end{equation} where

$$\int_0^\infty \mathrm{sinc}'(xr) r \sqrt{E(r)} dr$$

where $E(r) = r^4 (\lambda\sqrt{\kappa^2+r^2})^{-\nu-5/2} K_{-\nu-5/2}(\lambda\sqrt{\kappa^2+r^2})$, $x \in \mathbb{R}_+$ and $\lambda, \kappa, \nu >0$. Here $K$ is the modified Bessel function of the second kind. In my particular case I have $\lambda = 0.00313$, $\kappa = 0.00825$ and $\nu = 0.33$.

I am using MATLAB, and I have tried the built-in functions integral and quadgk, which gives me a lot of errors (see below). I have naturally tried numerous other things as well, such as integrating by parts, and summing integrals from $kx\pi$ to $(k+1)x\pi$.

So, do you have any suggestions as to which method I should try next?

UPDATE (added questions)
I read the paper @Pedro linked to, and I don't think it was too hard to understand. However, I have a few questions:

  • Would it be okay to use $x^k$ as the basis-elements $\psi_k$, in the univariate Levin method described?
  • Could I instead just use a Filon method, since the frequency of the oscillations is fixed?

Example code
>> integral(@(r) sin(x*r).*sqrt(E(r)),0,Inf)
Warning: Reached the limit on the maximum number of intervals in use. Approximate
bound on error is 1.6e+07. The integral may not exist, or it may be difficult to
approximate numerically to the requested accuracy.
> In funfun\private\integralCalc>iterateScalarValued at 372
In funfun\private\integralCalc>vadapt at 133
In funfun\private\integralCalc at 84
In integral at 89

ans =

3.3197e+06

I need to numerically evaluate the integral below: \begin{equation} \int_0^\infty sinc'(xr) r \sqrt{E(r)} dr, \end{equation} where $E(r) = r^4 (\lambda\sqrt{\kappa^2+r^2})^{-\nu-5/2} K_{-\nu-5/2}(\lambda\sqrt{\kappa^2+r^2})$, $x \in \mathbb{R}_+$ and $\lambda, \kappa, \nu >0$. Here $K$ is the modified Bessel function of the second kind. In my particular case I have $\lambda = 0.00313$, $\kappa = 0.00825$ and $\nu = 0.33$.

I am using MATLAB, and I have tried the built-in functions integral and quadgk, which gives me a lot of errors (see below). I have naturally tried numerous other things as well, such as integrating by parts, and summing integrals from $kx\pi$ to $(k+1)x\pi$.

So, do you have any suggestions as to which method I should try next?

UPDATE (added questions)
I read the paper @Pedro linked to, and I don't think it was too hard to understand. However, I have a few questions:

  • Would it be okay to use $x^k$ as the basis-elements $\psi_k$, in the univariate Levin method described?
  • Could I instead just use a Filon method, since the frequency of the oscillations is fixed?

Example code
>> integral(@(r) sin(x*r).*sqrt(E(r)),0,Inf)
Warning: Reached the limit on the maximum number of intervals in use. Approximate
bound on error is 1.6e+07. The integral may not exist, or it may be difficult to
approximate numerically to the requested accuracy.
> In funfun\private\integralCalc>iterateScalarValued at 372
In funfun\private\integralCalc>vadapt at 133
In funfun\private\integralCalc at 84
In integral at 89

ans =

3.3197e+06

I need to numerically evaluate the integral below:

$$\int_0^\infty \mathrm{sinc}'(xr) r \sqrt{E(r)} dr$$

where $E(r) = r^4 (\lambda\sqrt{\kappa^2+r^2})^{-\nu-5/2} K_{-\nu-5/2}(\lambda\sqrt{\kappa^2+r^2})$, $x \in \mathbb{R}_+$ and $\lambda, \kappa, \nu >0$. Here $K$ is the modified Bessel function of the second kind. In my particular case I have $\lambda = 0.00313$, $\kappa = 0.00825$ and $\nu = 0.33$.

I am using MATLAB, and I have tried the built-in functions integral and quadgk, which gives me a lot of errors (see below). I have naturally tried numerous other things as well, such as integrating by parts, and summing integrals from $kx\pi$ to $(k+1)x\pi$.

So, do you have any suggestions as to which method I should try next?

UPDATE (added questions)
I read the paper @Pedro linked to, and I don't think it was too hard to understand. However, I have a few questions:

  • Would it be okay to use $x^k$ as the basis-elements $\psi_k$, in the univariate Levin method described?
  • Could I instead just use a Filon method, since the frequency of the oscillations is fixed?

Example code
>> integral(@(r) sin(x*r).*sqrt(E(r)),0,Inf)
Warning: Reached the limit on the maximum number of intervals in use. Approximate
bound on error is 1.6e+07. The integral may not exist, or it may be difficult to
approximate numerically to the requested accuracy.
> In funfun\private\integralCalc>iterateScalarValued at 372
In funfun\private\integralCalc>vadapt at 133
In funfun\private\integralCalc at 84
In integral at 89

ans =

3.3197e+06

added 369 characters in body
Source Link
torbonde
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  • 13

I need to numerically evaluate the integral below: \begin{equation} \int_0^\infty sinc'(xr) r \sqrt{E(r)} dr, \end{equation} where $E(r) = r^4 (\lambda\sqrt{\kappa^2+r^2})^{-\nu-5/2} K_{-\nu-5/2}(\lambda\sqrt{\kappa^2+r^2})$, $x \in \mathbb{R}_+$ and $\lambda, \kappa, \nu >0$. Here $K$ is the modified Bessel function of the second kind. In my particular case I have $\lambda = 0.00313$, $\kappa = 0.00825$ and $\nu = 0.33$.

I am using MATLAB, and I have tried the built-in functions integral and quadgk, which gives me a lot of errors (see below). I have naturally tried numerous other things as well, such as integrating by parts, and summing integrals from $kx\pi$ to $(k+1)x\pi$.

So, do you have any suggestions as to which method I should try next?

UPDATE (added questions)
I read the paper @Pedro linked to, and I don't think it was too hard to understand. However, I have a few questions:

  • Would it be okay to use $x^k$ as the basis-elements $\psi_k$, in the univariate Levin method described?
  • Could I instead just use a Filon method, since the frequency of the oscillations is fixed?

Example code
>> integral(@(r) sin(x*r).*sqrt(E(r)),0,Inf)
Warning: Reached the limit on the maximum number of intervals in use. Approximate
bound on error is 1.6e+07. The integral may not exist, or it may be difficult to
approximate numerically to the requested accuracy.
> In funfun\private\integralCalc>iterateScalarValued at 372
In funfun\private\integralCalc>vadapt at 133
In funfun\private\integralCalc at 84
In integral at 89

ans =

3.3197e+06

I need to numerically evaluate the integral below: \begin{equation} \int_0^\infty sinc'(xr) r \sqrt{E(r)} dr, \end{equation} where $E(r) = r^4 (\lambda\sqrt{\kappa^2+r^2})^{-\nu-5/2} K_{-\nu-5/2}(\lambda\sqrt{\kappa^2+r^2})$, $x \in \mathbb{R}_+$ and $\lambda, \kappa, \nu >0$. Here $K$ is the modified Bessel function of the second kind. In my particular case I have $\lambda = 0.00313$, $\kappa = 0.00825$ and $\nu = 0.33$.

I am using MATLAB, and I have tried the built-in functions integral and quadgk, which gives me a lot of errors. I have naturally tried numerous other things as well, such as integrating by parts, and summing integrals from $kx\pi$ to $(k+1)x\pi$.

So, do you have any suggestions as to which method I should try next?

Example code
>> integral(@(r) sin(x*r).*sqrt(E(r)),0,Inf)
Warning: Reached the limit on the maximum number of intervals in use. Approximate
bound on error is 1.6e+07. The integral may not exist, or it may be difficult to
approximate numerically to the requested accuracy.
> In funfun\private\integralCalc>iterateScalarValued at 372
In funfun\private\integralCalc>vadapt at 133
In funfun\private\integralCalc at 84
In integral at 89

ans =

3.3197e+06

I need to numerically evaluate the integral below: \begin{equation} \int_0^\infty sinc'(xr) r \sqrt{E(r)} dr, \end{equation} where $E(r) = r^4 (\lambda\sqrt{\kappa^2+r^2})^{-\nu-5/2} K_{-\nu-5/2}(\lambda\sqrt{\kappa^2+r^2})$, $x \in \mathbb{R}_+$ and $\lambda, \kappa, \nu >0$. Here $K$ is the modified Bessel function of the second kind. In my particular case I have $\lambda = 0.00313$, $\kappa = 0.00825$ and $\nu = 0.33$.

I am using MATLAB, and I have tried the built-in functions integral and quadgk, which gives me a lot of errors (see below). I have naturally tried numerous other things as well, such as integrating by parts, and summing integrals from $kx\pi$ to $(k+1)x\pi$.

So, do you have any suggestions as to which method I should try next?

UPDATE (added questions)
I read the paper @Pedro linked to, and I don't think it was too hard to understand. However, I have a few questions:

  • Would it be okay to use $x^k$ as the basis-elements $\psi_k$, in the univariate Levin method described?
  • Could I instead just use a Filon method, since the frequency of the oscillations is fixed?

Example code
>> integral(@(r) sin(x*r).*sqrt(E(r)),0,Inf)
Warning: Reached the limit on the maximum number of intervals in use. Approximate
bound on error is 1.6e+07. The integral may not exist, or it may be difficult to
approximate numerically to the requested accuracy.
> In funfun\private\integralCalc>iterateScalarValued at 372
In funfun\private\integralCalc>vadapt at 133
In funfun\private\integralCalc at 84
In integral at 89

ans =

3.3197e+06

added 523 characters in body
Source Link
torbonde
  • 491
  • 1
  • 5
  • 13

I need to numerically evaluate the integral below: \begin{equation} \int_0^\infty sinc'(xr) r \sqrt{E(r)} dr, \end{equation} where $E(r) = r^4 (\lambda\sqrt{\kappa^2+r^2})^{-\nu-5/2} K_{-\nu-5/2}(\lambda\sqrt{\kappa^2+r^2})$, $x \in \mathbb{R}_+$ and $\lambda, \kappa, \nu >0$. Here $K$ is the modified Bessel function of the second kind. In my particular case I have $\lambda = 0.00313$, $\kappa = 0.00825$ and $\nu = 0.33$.

I am using MATLAB, and I have tried the built-in functions integral and quadgk, which gives me a lot of errors. I have naturally tried numerous other things as well, such as integrating by parts, and summing integrals from $kx\pi$ to $(k+1)x\pi$.

So, do you have any suggestions as to which method I should try next?

Example code
>> integral(@(r) sin(x*r).*sqrt(E(r)),0,Inf)
Warning: Reached the limit on the maximum number of intervals in use. Approximate
bound on error is 1.6e+07. The integral may not exist, or it may be difficult to
approximate numerically to the requested accuracy.
> In funfun\private\integralCalc>iterateScalarValued at 372
In funfun\private\integralCalc>vadapt at 133
In funfun\private\integralCalc at 84
In integral at 89

ans =

3.3197e+06

I need to numerically evaluate the integral below: \begin{equation} \int_0^\infty sinc'(xr) r \sqrt{E(r)} dr, \end{equation} where $E(r) = r^4 (\lambda\sqrt{\kappa^2+r^2})^{-\nu-5/2} K_{-\nu-5/2}(\lambda\sqrt{\kappa^2+r^2})$, $x \in \mathbb{R}_+$ and $\lambda, \kappa, \nu >0$. Here $K$ is the modified Bessel function of the second kind. In my particular case I have $\lambda = 0.00313$, $\kappa = 0.00825$ and $\nu = 0.33$.

I am using MATLAB, and I have tried the built-in functions integral and quadgk, which gives me a lot of errors. I have naturally tried numerous other things as well, such as integrating by parts, and summing integrals from $kx\pi$ to $(k+1)x\pi$.

So, do you have any suggestions as to which method I should try next?

I need to numerically evaluate the integral below: \begin{equation} \int_0^\infty sinc'(xr) r \sqrt{E(r)} dr, \end{equation} where $E(r) = r^4 (\lambda\sqrt{\kappa^2+r^2})^{-\nu-5/2} K_{-\nu-5/2}(\lambda\sqrt{\kappa^2+r^2})$, $x \in \mathbb{R}_+$ and $\lambda, \kappa, \nu >0$. Here $K$ is the modified Bessel function of the second kind. In my particular case I have $\lambda = 0.00313$, $\kappa = 0.00825$ and $\nu = 0.33$.

I am using MATLAB, and I have tried the built-in functions integral and quadgk, which gives me a lot of errors. I have naturally tried numerous other things as well, such as integrating by parts, and summing integrals from $kx\pi$ to $(k+1)x\pi$.

So, do you have any suggestions as to which method I should try next?

Example code
>> integral(@(r) sin(x*r).*sqrt(E(r)),0,Inf)
Warning: Reached the limit on the maximum number of intervals in use. Approximate
bound on error is 1.6e+07. The integral may not exist, or it may be difficult to
approximate numerically to the requested accuracy.
> In funfun\private\integralCalc>iterateScalarValued at 372
In funfun\private\integralCalc>vadapt at 133
In funfun\private\integralCalc at 84
In integral at 89

ans =

3.3197e+06

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Stefano M
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