/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 1 The speed of a molecule in a uni... [FREE SOLUTION] | 91Ó°ÊÓ

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The speed of a molecule in a uniform gas at equilibrium is a random variable whose probability density function is given by $$ f(x)= \begin{cases}a x^{2} e^{-b x^{2}} & x \geq 0 \\ 0 & x<0\end{cases} $$ where \(b=m / 2 k T\) and \(k, T\), and \(m\) denote, respectively, Boltzmann's constant, the absolute temperature, and the mass of the molecule. Evaluate \(a\) in terms of \(b\).

Short Answer

Expert verified
To find the value of the constant \(a\) in terms of \(b\), we use the property that the total probability of a probability density function equals 1. By integrating the given function over the interval \([0, \infty]\), we can calculate \(a\). After integration and solving for \(a\), we find that \(a = 2b\). Therefore, the probability density function \(f(x)\) is: \[f(x) = \begin{cases} 2bx^{2} e^{-b x^{2}} & x \geq 0 \\\ 0 & x<0\end{cases}\]

Step by step solution

01

Identify the total probability of a pdf

For a probability density function \(f(x)\), the total probability must equal 1. Mathematically, this is represented as: \[\int_{-\infty}^{\infty} f(x) dx = 1\] Since the function \(f(x) = 0\) for \(x < 0\), we only need to integrate the function over the interval \([0, \infty]\): \[\int_{0}^{\infty} ax^2e^{-bx^2} dx = 1\]
02

Integrate the function

Now, we will integrate the function \(ax^2e^{-bx^2}\) with respect to \(x\) over the interval \([0, \infty]\): \[\int_{0}^{\infty} ax^2e^{-bx^2} dx\] To evaluate this integral, we can use substitution. Let \(u = bx^2\), then \(\frac{du}{dx} = 2bx\). Therefore, \(dx = \frac{du}{2b}\). Now substitute \(u\) and \(dx\): \[\int_{0}^{\infty} a\left(\frac{u}{b}\right)e^{-u} \frac{du}{2b}\] Now, we can factor out the constant terms \(\frac{a}{2kb}\): \[\frac{a}{2b}\int_{0}^{\infty} ue^{-u} du\] This is the integration by parts problem, where we have \(u\) and \(dv\): \[\begin{cases}v = e^{-u} \\ du = u\, du\end{cases}\] Now we compute the integration by parts: \[\frac{a}{2b} \left[-ue^{-u}\Big|_0^{\infty} + \int_0^{\infty} e^{-u} du \right]\] After solving the integration by parts: \[\frac{a}{2b} \left[-\lim_{u\to \infty}(ue^{-u}) - (0 \times 1) + 1\right] = \frac{a}{2b} \cdot 1\] Hence, we obtain: \[\frac{a}{2b} = 1\]
03

Solve for \(a\)

Now we need to solve for \(a\) in terms of \(b\). From the previous step: \[\frac{a}{2b} = 1\] Multiply both sides by \(2b\): \[a = 2b\] So, the value of \(a\) in terms of \(b\) is: \[a = 2b\] Therefore, our probability density function \(f(x)\) is: \[f(x) = \begin{cases} 2bx^{2} e^{-b x^{2}} & x \geq 0 \\\ 0 & x<0\end{cases}\]

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Integration by Parts
Integration by parts is a technique used to integrate the product of two functions. According to the formula, the integral of the product of two functions, say, \( u \) and \( dv \), is given by \( u \) times the integral of \( dv \) minus the integral of the derivative of \( u \) times the integral of \( dv \). This is mathematically expressed as: \[ \int u \(dv\) = u \(v\) - \int \(v\) \(du\) \]
In our exercise, we applied integration by parts to solve the integral \[ \int_{0}^{\infty} ax^{2}e^{-bx^{2}} dx \]. By identifying \(u = x^{2}\) and \(dv = e^{-bx^{2}} dx\), and following the above rule, we were able to integrate the function step by step and solve for \( a \) in terms of \( b \).
Boltzmann's Constant
Boltzmann's constant, represented by the symbol \( k \), is an important physical constant that relates the average kinetic energy of particles in a gas with the temperature of the gas. It is named after the Austrian physicist Ludwig Boltzmann, who made significant contributions to the field of statistical mechanics. The constant has a value of approximately \( 1.38 \times 10^{-23} \; J/K \) (joules per kelvin).
In the context of our exercise, \( b \) is defined as \( b = \frac{m}{2kT} \), where \( m \) is the mass of the molecule, \( k \) is Boltzmann's constant, and \( T \) is the absolute temperature. The role of Boltzmann's constant is to bridge the microscopic and macroscopic worlds, allowing for the determination of \( a \) within the probability density function that describes the speed of molecules in a gas.
Random Variable
A random variable is a numerical description of the outcomes of a random phenomenon. It can take on different values, each with an associated probability. In the realm of probability and statistics, a random variable is usually denoted by a capital letter such as \( X \), \( Y \) or \( Z \).
Our exercise deals with the speed of a molecule in a gas, which is a random variable because it is subject to the randomness of molecular motion. The probability density function \( f(x) \) for the speed is a function that represents the probabilities of all possible values of the random variable \( x \), i.e., the molecular speeds. A probability density function must satisfy two conditions: it must be non-negative, and its integral over the entire space must equal one, indicating that the sum of probabilities for all possible values is certain.
Absolute Temperature
Absolute temperature is a thermodynamic measure of temperature and is one of the principal parameters of state in the sciences of physics and chemistry. Measured in kelvins (K), it starts from absolute zero, which is the lowest hypothetical temperature where all molecular motion ceases. Unlike Celsius or Fahrenheit, it does not have negative values.
In our exercise, the absolute temperature is denoted as \( T \) and is combined with Boltzmann's constant \( k \) and the molecular mass \( m \) to calculate the constant \( b \) for the probability density function. Higher absolute temperatures usually correspond to greater molecular speeds in a gas, which affects the shape and spread of the probability density function, ultimately influencing the understanding of the kinetic theory of gases.

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