Problem 146
Question
Use integration by parts to show that \(\Gamma(r)=(r-1)\) \(\Gamma(r-1).\)
Step-by-Step Solution
Verified Answer
The identity \( \Gamma(r) = (r-1) \Gamma(r-1) \) is verified using integration by parts.
1Step 1: Understanding the Problem
We are given the Gamma function, denoted \( \Gamma(r) = \int_0^{\infty} t^{r-1} e^{-t} \, dt \).We need to show that \( \Gamma(r) = (r-1) \Gamma(r-1) \). This identity represents a recursive property of the Gamma function.
2Step 2: Recall Integration by Parts Formula
The integration by parts formula is given by \[ \int u \, dv = uv - \int v \, du \].We will choose the functions \( u \) and \( dv \) from the integrand \( t^{r-1} e^{-t} \).
3Step 3: Choose Functions for Integration by Parts
Choose \( u = t^{r-1} \) and \( dv = e^{-t} \, dt \).Then, differentiate and integrate to find \( du \) and \( v \):- \( du = (r-1) t^{r-2} \, dt \)- \( v = -e^{-t} \).
4Step 4: Apply Integration by Parts
Substituting \( u \), \( du \), \( v \), and \( dv \) into the integration by parts formula:\[\int t^{r-1} e^{-t} \, dt = \left[ -t^{r-1} e^{-t} \right]_0^{\infty} + (r-1) \int t^{r-2} e^{-t} \, dt\].
5Step 5: Evaluate Boundary Terms
Evaluate the boundary term:\[ \lim_{t \to \infty} -t^{r-1} e^{-t} = 0 \] because exponential decay dominates polynomial growth, and:\[ \left[ -t^{r-1} e^{-t} \right]_0 = 0 \] because as \( t \to 0 \), \( e^{-t} \to 1 \) leaving \( 0 \).
6Step 6: Simplify and Conclude
After evaluating the boundary, we have:\[0 = 0 + (r-1) \int t^{r-2} e^{-t} \, dt\]So, \(\Gamma(r) = (r-1) \Gamma(r-1)\), where \( \Gamma(r-1) = \int t^{r-2} e^{-t} \, dt \).This completes the proof as required.
Key Concepts
Recursive PropertyIntegration by PartsCalculusMathematical Proof
Recursive Property
The Gamma function, a complex mathematical construct, has an intriguing recursive property. This recursive nature is expressed in the relationship \( \Gamma(r) = (r-1) \Gamma(r-1) \). Exploring this recursive property allows us to extend the understanding of factorials to non-integer values. The Gamma function generalizes the factorial function, where for natural numbers:
- \( \Gamma(n) = (n-1)! \)
- \( \Gamma(1) = 0! = 1 \)
Integration by Parts
Integration by parts is a technique from calculus used to tackle integral expressions like \( \int u \, dv = uv - \int v \, du \). It's especially useful when dealing with products of functions, which is often the case with the Gamma function. To solve \( \Gamma(r) = \int_0^{\infty} t^{r-1} e^{-t} \, dt \) using integration by parts:
- Choose \( u = t^{r-1} \), hence \( du = (r-1) t^{r-2} \, dt \)
- Choose \( dv = e^{-t} \, dt \), leading to \( v = -e^{-t} \)
Calculus
Calculus is the branch of mathematics that studies continuous change and includes the study of integrals and derivatives. The Gamma function, \( \Gamma(r) \), plays a critical role in advanced calculus, particularly in dealing with problems that extend beyond integer domains. Calculus allows us to handle functions like the Gamma function, which are not easily simplified using basic algebra. It uses integration, an essential concept, that helps verify properties like the recursive property of the Gamma function. By utilizing calculus tools such as integration by parts, mathematicians can unpack complex behavior within functions and solve higher-level problems. This approach transforms seemingly convoluted expressions into manageable forms by iterating simpler operations.
Mathematical Proof
A mathematical proof is a logical argument that verifies the truth of a statement based on established axioms and previous results. Proving \( \Gamma(r) = (r-1) \Gamma(r-1) \) involves:
- Setting up the problem using definitions, such as the definition of the Gamma function
- Applying techniques like integration by parts to manipulate the representation of \( \Gamma(r) \)
- Evaluating boundary terms to handle limits as \( t \to \infty \) or \( t \to 0 \)
Other exercises in this chapter
Problem 144
Calls to the help line of a large computer distributor follow a Poisson distribution with a mean of 20 calls per minute. Determine the following: (a) Mean time
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Use the result for the gamma distribution to determine the mean and variance of a chi-square distribution with \(r=7 / 2\).
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Patients arrive at a hospital emergency department according to a Poisson process with a mean of 6.5 per hour. (a) What is the mean time until the 10 th arrival
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