Basic Concepts of Quantum Mechanics
"The most incomprehensible thing about the world is that it is comprehensible." - Albert Einstein
"Give for one instant an intelligence which could comprehend all the forces by which nature is animated and the respective positions of the beings which compose it - an intelligence sufficiently vast to submit these data to analysis - it would embrace in the same formula the movements of the greatest bodies of the universe and those of the lightest atom; nothing would be uncertain for it, and the future, as the past, would be present to its eyes." - Pierre-Simon Laplace (c. 1820)
"The most important fundamental laws and facts of physical science have all been discovered... Our future discoveries must be looked for in the sixth place of decimals." - Albert Michelson (c. 1903)
Quantum mechanics is a fundamental theory in physics that provides a description of the physical properties of nature at the smallest scales.
The Dark Cloud of Classical Physics
In the early 20th century, there were three phenomena that could not be explained by classical physics, which was the dominant theory at the time.
Blackbody Spectrum
To recap, a blackbody is an idealized physical body that absorbs all incident electromagnetic radiation, regardless of frequency or angle of incidence. A blackbody in thermal equilibrium emits electromagnetic radiation called blackbody radiation. The radiation has a specific spectrum and intensity that depends only on the body's temperature.
Let's say we have some hot blackbody with temperature
Classical physics had mainly two ways to explain it:
-
The Rayleigh-Jeans law, which was derived from classical electromagnetism, predicted that the intensity of the radiation would increase without bound as the wavelength decreased:
-
Wien's law, which was derived from thermodynamics, predicted that the intensity of the radiation would decrease exponentially as the wavelength increased:
However, neither of these laws matched the experimental data. The Rayleigh-Jeans law predicted that the intensity of the radiation would increase without bound as the wavelength decreased, which is known as the ultraviolet catastrophe. On the other hand, Wien's law predicted that the intensity of the radiation would decrease exponentially as the wavelength increased, which is also not true.
Photoelectric Effect
When light shines on a metal surface, electrons are emitted from the surface. This is known as the photoelectric effect. The photoelectric effect is a phenomenon in which electrons are emitted from a material when it is exposed to light. The emitted electrons are called photoelectrons.
The general setup is to have another material above the metal surface. A battery is connected to the two materials, and the voltage is adjusted so that the photoelectrons never makes it to the other material. This voltage,
Classical electromagnetism predicted:
- As EM radiation's intensity increases, the photoelectrons' kinetic energy should increase. Hence, the stopping voltage should increase.
- As EM radiation's frequency increases, the electric field's magnitude stays the same. Hence, the stopping voltage should not change.
However, the experimental data showed that the stopping voltage was independent of the intensity of the radiation and depended only on the frequency of the radiation.
Atomic Spectra
When atoms are excited, they emit light at specific wavelengths. This is known as atomic spectra. The wavelengths of the emitted light are characteristic of the element and are known as the atomic spectra.
This really kicked off the quantum revolution. Classical physics predicted that the emitted light would be continuous, but the experimental data showed that the emitted light was discrete.
The Birth of Quantum Mechanics
In 1900, Max Planck proposed that the energy of light was quantized. This was the first time that the concept of quantization was introduced in physics. Planck's law of blackbody radiation was the first example of a quantum theory and the first example of a theory that was fundamentally different from classical physics.
Domain of Quantum Mechanics
Classical Physics | Quantum Mechanics |
---|---|
Certain | Uncertain |
Deterministic | Probabilistic |
Large | Small |
Continuous | Discrete |
Situations where QM apply
- When angular momentum
. - When uncertainties
. - When uncertainties
. - When the action
.
The
Generally the second and third conditions are the most useful and the last condition is the most fundamental.
Example: Electron in a Hydrogen Atom
Let's just say that its energy is
Classical approximation of momentum-energy relation:
Since the atom is not moving, the average momentum is zero. Hence, what the above equation means is the uncertainty in momentum is
Let's also assume that the size of the H atom is
Therefore quantum mechanics is applicable.
Examples of systems where QM is important
- Singular particles (molecules, atoms, electrons, photons, etc.)
- Semiconductors
- Lasers
- Low temperatures (
) - ...adding more all the time
Key Concepts of QM
Wavefunction
The wavefunction,
- It's a complex-valued function.
- It tells you about the state of the system but without certainty; only probabilities.
- The square of the wavefunction,
, gives the probability density of finding a particle at a given position.
Operator
An operator is a function that acts on the wavefunction to give another wavefunction. It's generally represented by a letter with a hat on top, e.g.
For instance, the position operator,
or
Or the momentum operator,
Schrödinger Equation
The Schrödinger equation is a partial differential equation that describes how the wavefunction of a physical system evolves over time.
Hence, the Schrödinger equation can be written as:
Probability Distributions
Probability is extremely important in quantum mechanics. The square of the wavefunction,
We will lookk at the various properties of probability distributions using a discrete example and a continuous example.
Our discrete data looks like this:
And our continuous data looks like this:
Probability
For discrete data, the probability of a value is the number of times it occurs divided by the total number of values:
For continuous data, the probability of a single value is zero. Imagine going to someone and asking them "Were you born in Jan 4th 1990 at 12 pm 11 minutes 34.92875434 seconds?" The probability of them saying "yes" is zero. Instead, when dealing with continuous data, we deal with ranges of values. The probability of a value being in a range is the integral of the probability density function over that range:
Mode
The mode is the value that occurs most frequently. For our discrete data, simply count the number of times each value occurs and find the one that occurs the most. For our continuous data, the mode is the value that maximizes the probability density function.
Median
The median is the value that separates the higher half from the lower half. For our discrete data, sort the values and find the middle one. For our continuous data, the median is the value that satisfies:
Mean/Expectation Value
The mean, denoted by
Like always, for our continuous data, we integrate:
Using our continous data as an example:
By using integration by parts:
Hence:
The expectation value can also be written as:
Expectation Value of a Function
The expectation value of a function,
You begin to see a pattern here. When it's discrete, you sum. When it's continuous, you integrate:
Variance and Standard Deviation
In quantum mechanics, it's often useful to know how "spread out" the distribution is. Statistics provide a way to quantify this, the variance, denoted by
The way variance is calculated is to have a point, and have it subtract the mean, and then take the average of these differences:
However, the problem with this is that
Unfortunately, absolute values are very difficult to work with mathematically because you have to keep track of the sign. Instead, we square the values:
This is the variance. The standard deviation,
There's an alternative way to calculate the variance, and here's how its derived:
Hence, the variance can also be written as:
Probability Normalization and the Wavefunction
Normalization makes the total probability equal to 1. This means that if you were to measure the position of a particle, the probability of it being within
Normalization makes it much easier to calculate probabilities. For instance, for a normalized probability distribution, the probability of a value being in a range is simply the integral of the probability density function over that range.
As we know, the square of the wavefunction,
For a probability distribution to be normalizable, it should not approach infinity at any point, or else it can't be "squeezed" into a finite area. Instead, it should approach zero at infinity. Mathematically:
Therefore, the wavefunction should also approach zero at infinity:
Now, let's use the Schrödinger equation to find out if normalization works:
As you can see, all terms in the Schrödinger equation are linear. This means that if
However this is only true if
This is known as the conservation of probability. It means that the total probability of finding a particle at any position does not change with time.
Since
Additionally, we can bring the time derivative inside the integral. Note that the total derivative becomes a partial derivative.
Using the product rule:
Now, we can use the Schrödinger equation to replace the time derivatives:
Hence:
This means that the total probability of finding a particle at any position does not change with time. As such, the wavefunction is normalized.
Example: Normalization of a Wavefunction
Let's normalize this wavefunction:
In other words, we want to find the value of
The case where
Therefore:
Remember that
\herefore, the wavefunction is normalized when
Operators
As mentioned earlier, an operator is a function that connects the wavefunction to observable quantities.
Remembering the expected value of a function:
Now imagine a box with a particle in it. We measure its position at
We need an ensemble, which is a collection of identicallly-prepared systems. We make one measurement per system and for each system measure it at different times.
How can we predict its motion as a function of time? To do that, we consider the rate of change of the expected value of the position:
It's a velocity, as a motion of an expectation. Like before, we put the time derivative inside the integral:
Remember when we tested the normalization of the wavefunction? We calculated what the yellow part,
Using integration by parts:
Hence:
The integral on the right can once again be integrated by parts:
Therefore:
We found out the expected value of the velocity operator,
We get the same pattern where the expected value of an observable is the integral of the product of the wavefunction and the operator. Using this we can find the operators. For our case,
Another example of these operators is the kinetic energy operator,