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I need to do integration

$$\int_0^\infty e^{-z~\text{cosh}(2u)-\frac{1}{y}u^2}~\text{M}\bigg(-\mu,\frac{3}{2},2z~\text{sinh}(u)^2 \bigg)~ \text{sinh}(2u)~\text{sin}\bigg(\frac{\pi u}{y} \bigg)du $$

where $\text{M}(a,b,c)$ represents the Confluent Hypergeometric function of the the 1st kind.

The simulation is implemented using R, and M(a,b,c) is computed by the function 'kummerM' of R's package fAsianOptions. My question is how to define the upper limit for integration, here it is $\infty$ in the formula.

Assuming $ \mu =-0.75,z=0.5$ and $y = 0.15$. If upper=1000, sinh(1000)=Inf; if upper=100, R crashes before obtaining the result. R can produce the results only when upper limit $\in [1,50]$. What is a 'reasonable'choice of upper limit? Although R can produce result when upper limit $\in [1,50]$, the results are quite different. The best upper limit should be the largest one?

mathreadler
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Smirk
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1 Answers1

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This is more of a suggestion, not a complete answer.

Have you tried substituting $\operatorname{sinh}(u)=x$? This way you mitigate the effect of the exponential growth of $\operatorname{sinh}$ to a certain degree.

This wikipedia helps you do the necessary computations: https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Derivatives You might also need $\operatorname{sinh}(2x)=2\operatorname{cosh}(x)\operatorname{sinh}(x)$.

On the other hand are you even sure this integral converges? $M(a,b,c)$ does grow exponentially in $c$ and then you plug in the exponentially growing function $\sinh$, which makes it even worse. I am not sure if $e^{-\frac{1}{y}u^2}$ can dampen the resulting effect. Here is another wikipedia to underline the exponential growth: https://en.wikipedia.org/wiki/Confluent_hypergeometric_function#Asymptotic_behavior