Gamma and Beta Integrals

In summary, Gamma and Beta integrals are mathematical functions used in various fields, related to the more familiar Gamma and Beta functions. The main difference between them is the range over which they are evaluated. In statistics, they are used to calculate probabilities and in the derivation of statistical tests. They have special properties and applications in physics, engineering, economics, and other fields.
  • #1
Ted123
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Homework Statement



The Gamma and Beta integrals are defined respectively as

[tex]\Gamma (z) = \int^{\infty}_0 t^{z-1} e^{-t}\;dt[/tex]
[tex]B(p,q) = \int^1_0 t^{p-1} (1-t)^{q-1}\;dt.[/tex]
Determine for what values of the complex parameters z, p, q the integrals converge absolutely and explain why.

The Attempt at a Solution



How would I do this? Is the answer: [tex]\text{Re}(z) > 0,\;p,\,q>0\;?[/tex]
If so, how do I show it and explain why?
 
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  • #2


I would first like to clarify that the Gamma and Beta integrals are not necessarily defined for complex parameters. They are typically defined for real parameters, but can be extended to complex parameters under certain conditions.

For the Gamma integral, it is well known that it converges absolutely for all real values of z greater than 0. This can be shown using the comparison test, as the integrand can be bounded by a convergent integral, such as \int^{\infty}_0 t^{x-1}\;dt. However, for complex values of z, the integral may not converge absolutely. In fact, it is only defined for values of z with positive real part, as you have correctly stated. This can be seen by considering the convergence of the integral for large values of t, where the exponential term dominates and the integrand behaves like t^{Re(z)-1}. For the integral to converge, this term must approach 0 as t approaches infinity, which is only possible if Re(z) is positive.

Similarly, for the Beta integral, it is well known that it converges absolutely for all real values of p and q greater than 0. This can also be shown using the comparison test, as the integrand can be bounded by a convergent integral, such as \int^1_0 t^{x-1}\;dt. However, for complex values of p and q, the integral may not converge absolutely. It is only defined for values of p and q with positive real parts, as can be seen by considering the convergence of the integral for large values of t, where the integrand behaves like t^{Re(p)-1}(1-t)^{Re(q)-1}. For the integral to converge, both of these terms must approach 0 as t approaches 1, which is only possible if Re(p) and Re(q) are positive.

In summary, the Gamma and Beta integrals converge absolutely for real values of z, p, and q greater than 0, and they are only defined for complex values of z, p, and q with positive real parts. This can be explained by considering the behavior of the integrands for large values of t and the necessary conditions for convergence.
 

1. What are Gamma and Beta integrals?

Gamma and Beta integrals are mathematical functions that are used to solve problems in statistics, physics, and other fields. They are closely related to the more familiar Gamma and Beta functions, and are defined as integrals of these functions over certain ranges.

2. What is the difference between Gamma and Beta integrals?

The main difference between Gamma and Beta integrals is the range over which they are evaluated. Gamma integrals are evaluated over the positive real numbers, while Beta integrals are evaluated over the unit interval (from 0 to 1).

3. How are Gamma and Beta integrals used in statistics?

Gamma and Beta integrals are commonly used in statistics to calculate probabilities and cumulative distribution functions for certain distributions, such as the Gamma distribution and the Beta distribution. They are also used in the derivation of certain statistical tests.

4. Are there any special properties of Gamma and Beta integrals?

Yes, there are several special properties of Gamma and Beta integrals that make them useful in various mathematical and scientific applications. For example, they satisfy certain recurrence relations and have connections to other special functions, such as the hypergeometric function.

5. Are there any applications of Gamma and Beta integrals outside of mathematics?

Yes, Gamma and Beta integrals have applications in physics, particularly in quantum mechanics and statistical mechanics. They also have applications in engineering, economics, and other fields where probability and statistics play a role.

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