Chapter 37: Problem 13
Think about what happens to infinite square well wave functions as the quantum number \(n\) approaches infinity. Does the probability distribution in that limit obey the correspondence principle? Explain.
Short Answer
Expert verified
Answer: Yes, the behavior of the wave function and the probability distribution of an infinite square well system obeys the correspondence principle as the quantum number \(n\) approaches infinity. The probability distribution becomes nearly continuous and evenly distributed within the interval \((0, L)\), resembling the behavior of a classical particle within the well.
Step by step solution
01
Explain the correspondence principle
The correspondence principle states that the behavior of quantum systems approaches the behavior of classical systems in the limit of large quantum numbers. In other words, quantum mechanics should reproduce classical mechanics when dealing with large systems or large energy scales.
02
Consider the limit of the wave function as \(n\) approaches infinity
As the quantum number \(n\) approaches infinity, the wave function of an infinite square well becomes:
$$\lim_{n \to \infty} \psi_n(x) = \sqrt{\frac{2}{L}} \sin{\frac{n\pi x}{L}}$$
The wave function oscillates more rapidly with higher \(n\), leading to more nodes (points where the wave function is zero) in the finite interval \((0, L)\).
03
Investigate the behavior of the probability distribution in that limit
The probability density function as \(n\) approaches infinity becomes:
$$\lim_{n \to \infty} P(x) = \frac{2}{L}\sin^2{\frac{n\pi x}{L}}$$
As \(n\) increases, the probability density function also oscillates more rapidly, with more peaks and valleys between the interval \((0, L)\). To determine the limiting behavior, we can analyze the overall probability distribution.
04
Discuss whether the correspondence principle is obeyed or not
In the limit of \(n\) approaching infinity, the probability density function becomes a rapidly oscillating function between 0 and \(L\). The peaks in the probability distribution approach each other, and in the limit, the probability distribution doesn't concentrate around specific points but becomes a nearly continuous distribution spanning the entire interval \((0, L)\).
The correspondence principle states that quantum mechanics should approach classical mechanics in the limit of large quantum numbers. In the limit of \(n\) approaching infinity, the particle within the infinite square well behaves more like a classical particle, as the probability distribution is nearly continuous and evenly distributed within the interval \((0, L)\). Therefore, the behavior of the wave function and the probability distribution obeys the correspondence principle.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Understanding Probability Distribution in Quantum Mechanics
At the heart of quantum mechanics is the concept of the probability distribution. Unlike classical physics where the position and momentum of a particle can be known exactly, quantum mechanics only allows us to calculate the probability of finding a particle at a given position.
For example, consider a particle trapped inside an infinite square well, a potential with infinitely high walls and a finite width. The probability of locating the particle at any point within the well is described by a probability distribution function, typically denoted as \(P(x)\). This function is derived from the square of the particle's wave function, \(\psi(x)\), such that \(P(x) = |\psi(x)|^2\). The wave function gives us a complex amplitude, but when squared, it provides real, positive probabilities that add up to one over all possible positions, ensuring the particle is somewhere within the well.
One might imagine that, as the quantum number \(n\) becomes very large, a particle's behavior should more closely resemble that of a classical particle. This is where the correspondence principle guides the transition from quantum behavior to classical behavior. As \(n\) goes to infinity, the probability distribution for the infinite square well no longer shows discrete peaks, but almost becomes uniform across the well. This change reflects how on a macroscopic scale—where quantum numbers are very large—the position of a particle looks more and more like a continuous probability, which is a hallmark of classical statistical mechanics.
For example, consider a particle trapped inside an infinite square well, a potential with infinitely high walls and a finite width. The probability of locating the particle at any point within the well is described by a probability distribution function, typically denoted as \(P(x)\). This function is derived from the square of the particle's wave function, \(\psi(x)\), such that \(P(x) = |\psi(x)|^2\). The wave function gives us a complex amplitude, but when squared, it provides real, positive probabilities that add up to one over all possible positions, ensuring the particle is somewhere within the well.
One might imagine that, as the quantum number \(n\) becomes very large, a particle's behavior should more closely resemble that of a classical particle. This is where the correspondence principle guides the transition from quantum behavior to classical behavior. As \(n\) goes to infinity, the probability distribution for the infinite square well no longer shows discrete peaks, but almost becomes uniform across the well. This change reflects how on a macroscopic scale—where quantum numbers are very large—the position of a particle looks more and more like a continuous probability, which is a hallmark of classical statistical mechanics.
Quantum Number Infinity Behavior
What happens to a quantum system when the quantum number \(n\) becomes infinitely large is a crucial question of coherence between quantum and classical mechanics. The quantum number infinity behavior concerns how quantum descriptions of physical systems change as you consider higher and higher energy levels or quantum states.
As \(n\) increases for a particle in a box, the number of nodes—points where the wave function is zero—in the wave function increases. In an infinite square well, if you take the limit as \(n\) approaches infinity, the wave function oscillates infinitely fast, and the probabilities of finding the particle at any given point become nearly equal for all points within the well.
This uniformity aligns with the correspondence principle, which suggests that the predictions of quantum mechanics will converge with classical physics at high quantum numbers. The infinity behavior of quantum numbers, therefore, is a bridge between quantum mechanics and classical physics, showing us mathematically how quantum effects fade as systems grow larger or as quantum states reach very high energies.
As \(n\) increases for a particle in a box, the number of nodes—points where the wave function is zero—in the wave function increases. In an infinite square well, if you take the limit as \(n\) approaches infinity, the wave function oscillates infinitely fast, and the probabilities of finding the particle at any given point become nearly equal for all points within the well.
This uniformity aligns with the correspondence principle, which suggests that the predictions of quantum mechanics will converge with classical physics at high quantum numbers. The infinity behavior of quantum numbers, therefore, is a bridge between quantum mechanics and classical physics, showing us mathematically how quantum effects fade as systems grow larger or as quantum states reach very high energies.
Infinite Square Well Wave Functions
The infinite square well is a fundamental model in quantum mechanics. It portrays a particle that is confined to a box with rigid walls where the potential energy inside the box is zero, and outside, it is infinitely high. This model allows us to explore the wave functions, denoted as \(\psi_n(x)\), that describe the state of a particle within the well.
These wave functions can be mathematically expressed as sine waves that fit perfectly within the boundaries of the well: \(\psi_n(x) = \sqrt{\frac{2}{L}} \sin{\frac{n\pi x}{L}}\) where \(L\) is the width of the well, and \(n\) is the quantum number representing the energy level. With each increment of \(n\), the sine function gains an additional node, leading to more complex patterns of oscillation within the well.
Remarkably, as \(n\) approaches infinity, the spacing between adjacent nodes shrinks to zero, making the probability distribution nearly uniform. This implies that the particle's position is no longer discretely probable at certain locations, as expected for quantum particles, but rather can be found with near-equal probability anywhere within the well, mirroring the statistical behavior of classical particles.
These wave functions can be mathematically expressed as sine waves that fit perfectly within the boundaries of the well: \(\psi_n(x) = \sqrt{\frac{2}{L}} \sin{\frac{n\pi x}{L}}\) where \(L\) is the width of the well, and \(n\) is the quantum number representing the energy level. With each increment of \(n\), the sine function gains an additional node, leading to more complex patterns of oscillation within the well.
Remarkably, as \(n\) approaches infinity, the spacing between adjacent nodes shrinks to zero, making the probability distribution nearly uniform. This implies that the particle's position is no longer discretely probable at certain locations, as expected for quantum particles, but rather can be found with near-equal probability anywhere within the well, mirroring the statistical behavior of classical particles.