Can Induction Prove Gamma Function Convergence for p≥0?

In summary, the conversation is discussing the use of induction to prove that the gamma function converges for p\geq0. The definition of the gamma function is given, and the smallest case, p=0, is shown to converge. It is then assumed that the function converges for all 1\leq p \leq p' for some real number p'\geq 1. Using integration by parts, it is shown that \Gamma(p+1) converges if \Gamma(p) converges. However, this only proves convergence for natural numbers. To show convergence for all real numbers p\geq 1, it must also be shown that \Gamma(p+1) converges for 0\
  • #1
mekkomhada
11
0
I just learned induction in another thread and I'm curious if it can be used to prove that the gamma function converges for [itex]p\geq0[/itex]. I'm not sure if it can be used in this way. Is this wrong?

Gamma Function is defined as:
[tex]\Gamma(p+1)=\int_0^\infty e^{-x}x^p \,dx[/tex] We're trying to show that this converges for [itex]p\geq0[/itex]

Smallest case, p=0:
[tex]\Gamma(1)=1[/tex] converges

Assume the following converges:
[tex]\Gamma(p)=\int_0^\infty e^{-x}x^{p-1} \,dx[/tex]

Using integration by parts we find:
[tex]\Gamma(p+1)=p\Gamma(p)[/tex]

So since
[tex]\Gamma(p)[/tex] converges
then
[tex]\Gamma(p+1)=p\Gamma(p)[/tex] must also converge
 
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  • #2
mekkomhada said:
Assume the following converges:
[tex]\Gamma(p)=\int_0^\infty e^{-x}x^{p-1} \,dx[/tex]

For which values of p are you assuming it holds? Let's assume it holds for all [itex]1\leq p \leq p'[/itex] for some real number [itex]p'\geq 1[/itex].
Using integration by parts we find:
[tex]\Gamma(p+1)=p\Gamma(p)[/tex]

So since
[tex]\Gamma(p)[/tex] converges
for [itex]p\in [1,p'][/itex]
then
[tex]\Gamma(p+1)=p\Gamma(p)[/tex] must also converge
for [itex]p\in[1,p'][/itex].

Together with the first step of the induction process, you've shown that [itex]\Gamma(p+1)[/itex] converges for p=0,1,2,3,4,..., but not for the real numbers in between.
If you can show that [itex]\Gamma(p+1)[/itex] converges for [itex]0\leq p <1[/itex] your induction shows it to be true for all real numbers [itex]p\geq 1[/itex]. Can you see why?
 
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  • #3
For which values of p are you assuming it holds? Let's assume it holds for all [itex]1\leq p \leq p'[/itex] for some real number [itex]p' \geq 1 [/itex].

Ah right, that was my assumption that it was true for some real number greater than 1. I should have been more explicit.

To prove that [itex]\Gamma(p+1)[/itex] converges for [itex]0\leq p <1[/itex] couldn't I just say that [itex]\Gamma(1+1) \geq \Gamma(0+1)[/itex] and since [itex]\Gamma(1+1)[/itex] converges then the gamma function must converge for [itex]0 \leq p \leq 1[/itex]?
 
  • #4
looks like u only showed that it converges for all natural numbers
 
  • #5
.

Therefore, by induction, the gamma function converges for p\geq0.

Your approach is correct. Induction can indeed be used to prove that the gamma function converges for p≥0. In fact, this is one of the standard methods used to prove convergence of functions in mathematics. Your proof shows that if the gamma function converges for p, then it also converges for p+1. Since it has been shown to converge for p=0, by induction, it must also converge for all p≥0. This is a valid and rigorous way to prove the convergence of the gamma function.
 

What is the Gamma Function Convergence?

The Gamma Function Convergence is a mathematical concept that describes the behavior of the gamma function as its argument approaches a certain value or infinity. It is used to determine the convergence or divergence of integrals and series involving the gamma function.

How is the Gamma Function related to the Factorial Function?

The Gamma Function is a generalization of the Factorial Function. It extends the concept of factorial to non-integer values, making it applicable to a wider range of mathematical problems. The gamma function also satisfies the same recurrence relation as the factorial function, but it is defined for all complex numbers (except non-positive integers) while the factorial function is only defined for positive integers.

What is the relationship between the Gamma Function Convergence and the Stirling's Approximation?

The Gamma Function Convergence is closely related to the Stirling's Approximation, which is an approximation formula for the factorial function. As the argument of the gamma function approaches infinity, the gamma function converges to the factorial function and the Stirling's Approximation becomes more accurate.

How is the Gamma Function Convergence used in Statistics?

The Gamma Function Convergence is an important tool in statistics, particularly in the fields of probability and distribution theory. It is used to calculate the probability density function and cumulative distribution function of the gamma distribution, which is commonly used to model continuous variables such as waiting times, income, and insurance claims.

What are some real-world applications of the Gamma Function Convergence?

The Gamma Function Convergence has many applications in various fields such as physics, engineering, and finance. It is used to solve differential equations in quantum mechanics, to calculate the probability of failure in reliability engineering, and to model interest rates in financial markets. It is also used in machine learning and data analytics for data transformation and feature engineering.

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