Quantum Mechanics Notes
Probability Calculations and Eigenfunctions
- The advantage of expressing the wave function in terms of eigenfunctions is to calculate probabilities.
- For discrete eigenvalues, the square of the coefficients represents the probabilities.
- For continuous eigenvalues, the square of the inner product provides the probability density.
Inner Product and Coefficient Determination
Inner product is used to find the components of a wavefunction.
The x component is obtained via the inner product:
- Analogy: If , then .
- Only the term corresponding to the eigenfunction survives when the dot product is performed.
The inner product allows calculation of coefficients:
- If is known, the coefficients can be determined.
- The square of these coefficients gives the probability of measuring an observable.
Inner Product Details
- Inner product is analogous to a dot product. It involves a complex conjugate, important for imaginary eigenfunctions.
- Example problem: A particle is confined between and .
- Part a: Find , the coefficient on the momentum eigenfunction. corresponds to the probability density in k-space.
- Part b: Find the coefficient for . corresponds to the probability density in real space (position eigenfunctions).
Delta Function and Probability Density
- Using a delta function, with height and width , to calculate the inner product.
- The probability of finding the particle between and is to be determined.
- Both momentum and position operators have continuous eigenvalues leading to probability densities.
Integral Forms and Evaluation
- For the momentum operator case, the answer can be left in integral form.
- For the position operator case, the integral should be evaluated.
- To find , the complex conjugate of the momentum eigenfunction is needed:
- The function is .
- will be an imaginary number, but will be real, as required for probability density.
Fourier Transform Connection
- The calculation of resembles a Fourier transform of the wave function.
Probability Calculation with Delta Function
Integrating from to , but the delta function is only non-zero at .
The integral becomes the wave function evaluated at .
With the delta function: height , width
The result of the integral is .
Squaring this gives the probability density:
This represents a probability from to , not a probability density because we're not working in the limit of an infinitesimally small .
Generalization to Other Operators
- This procedure applies to any operator.
- For finding the probability of energy between and , use the Hamiltonian eigenfunction.
- Example: Kinetic energy eigenfunctions for energy range (e.g., 1 joule to joules).
Practical Measurement and Wave Function Role
- Practical measurement involves detectors. Detector size can correspond to 'a'.
- The wave function is analogous to position and velocity in classical mechanics.
- From the wave function, kinetic energy, momentum, and probabilities can be calculated.
Hamiltonian Operator
- The Hamiltonian operator is the sum of kinetic energy operator and potential energy operator : .
- operates on the spatial part of the wave function.
Potential Energy Operator
- Potential energy is a function of position .
- Example: (harmonic oscillator potential).
- This could model an electron acted upon by a spring-like force.
Potential Energy and Systems
- Potential energy always relates to a system (e.g., electron-proton system in the hydrogen atom).
- For the hydrogen atom, , where is the distance between proton and electron.
- The potential energy is a function of position and converted into an operator.
Forming the Potential Energy Operator
- Replace position variables with operators.
- For , the operator is .
- Applying operator twice, not squaring it. Not but .
Uniqueness of Quantum Mechanical Problems
- Each quantum mechanics problem is unique due to its potential function .
- Different changes the Hamiltonian, thus changing the energy eigenstates.
- Kinetic energy operator is the same for different interactions between the particle and surroundings.
Classical vs. Quantum Mechanics
- Classical Mechanics: Problems differ due to forces acting on particle.
- Quantum Mechanics: Problems differ due to potential energy function.
- Newton's second law: .
- In quantum mechanics, knowing the potential energy function is essential. No potential energy means the problem is a free particle.
Free Particle
- If the potential energy , it's called a free particle problem.
- The Hamiltonian is only the kinetic energy operator.
- Potential energies can be derived from forces:
Connecting Classical and Quantum Mechanics
- Classical force can be used to find potential, which then becomes an operator for the Hamiltonian.
- This applies at the atomic level where quantum mechanics is used.
- Semiclassical models like Bohr's use classical mechanics to derive quantum models.
Energy Eigenfunctions and Potentials
- Energy eigenfunctions depend on the potential energy.
- To find eigenfunctions, solve the eigenvalue problem for the Hamiltonian.
Particle in a Box Problem
Simplest quantum mechanics problem.
Free particle eigenfunctions are also Hamiltonian eigenfunctions since .
Box potential: Potential energy is written as instead of (common for electron problems, where stands for voltage).
Potential: for 0 < x < L, elsewhere.
Classical Understanding of the Box
- Classically, the particle is trapped in the box because the force is large at the boundaries.
- Take the limit as V0 approaches infinity for trapping.
Quantum Mechanical Treatment
- Time-independent Schrodinger equation .
- In regions where approaches infinity, must approach zero.
- for and .
- Both classical and quantum mechanics agree on this point.
Solving Inside the Box
- Inside the box (0 < x < L), , so .
- Schrodinger equation becomes: .
- The function must be continuous and differentiable, so and .
Boundary Conditions
- Since has to be zero at and .
- General solution is , where .
- To satisfy the condition , , where is an integer.
Quantization of Energy
- Energy is quantized: , where n is an integer.
- The cosine function is not suitable because .
- Sine function and linear combinations of exponential functions work because they vanish at .
Discrete Energy Values and Eigenfunctions
- Energy eigenfunctions are discrete and can be denoted by .
- The solutions are of the form where
- Examples of Wavefunctions:
- n = 1; A single hump
- n = 2; two humps
Probability Density
- Squaring the wave function gives probability density .
- For , the probability density is zero at the middle of the box .
- In Classical Mechanics the probability is uniform across the box.
- QM is different, there are positions where you will not measure the particle.
Space Quantization
- Quantum mechanics results in space quantization, where particles are more likely to be found in certain locations.
- This is analogous to Bohr's model where electrons can only be in certain orbits.
Large n Values and Correspondence Principle
- For large n, the quantum mechanical probability density tends towards the classical prediction of uniform distribution.
- This aligns with Bohr's correspondence principle.