Quantum Mechanics - Eigenfunctions and Expectation Values
Eigenfunctions and Eigenvalues
- Solving the eigenvalue problem yields eigenfunctions, each associated with a specific eigenvalue.
- For example, \phi{a3} is the eigenfunction for the eigenvalue a_3, which is a particular value of the operator A. This operator is associated with a measurable quantity.
Orthogonality of Eigenfunctions
- Eigenfunctions corresponding to different eigenvalues are orthogonal.
- Analogy: Similar to unit vectors being perpendicular to each other.
- Mathematically, the integral of the product of two different eigenfunctions over all space is zero:
\int \phi{ai}^* \phi{aj} dx = 0 \quad \text{if} \quad ai \neq aj - If the eigenfunctions are the same (i.e., same eigenvalue), the integral is one (normalization condition):
\int \phi{ai}^* \phi{ai} dx = 1 - This is analogous to \hat{x} \cdot \hat{x} = 1 for unit vectors.
- The term we use is "orthogonal".
Probability and Wave Functions
- If the wave function \Psi is one of the eigenfunctions of the operator A, then there's a 100% chance of measuring the corresponding eigenvalue.
- If \Psi = \phi{a5}, then the probability of measuring a_3 is zero.
- \int \phi{a3}^* \phi{a5} dx = 0
- This implies that if your wave function is \phi{a5}, the probability of measuring any eigenvalue other than a_5 is zero.
Momentum Operator and Eigenfunctions
- Eigenfunctions are orthogonal for any operator, not just the momentum operator.
- \phi{k2} and \phi{k3} represent two momentum eigenfunctions with different eigenvalues.
- \int \phi{k2}^* \phi{k3} dx = 0
- \int \phi{k3}^* \phi{k3} dx = 1
- The eigenfunctions of the momentum operator are of the form e^{ikx}, which remains consistent across different problems.
- Only the potential function changes.* The position and momentum operators remain the same across problems, but the Hamiltonian changes because it depends on the potential function V(x).
- Examples of potential functions:
- Coulomb potential: V(r) = k \frac{q1 q2}{r}
- Particle in a box.
Average Value (Expectation Value) of an Operator
- The average value of an operator A is found by "sandwiching" the operator between the complex conjugate of the wave function and the wave function:
\langle A \rangle = \int \Psi^* A \Psi dx - This gives the expectation value, which represents the average value obtained from a large number of identical experiments.
- For the position operator X, the average value is:
\langle X \rangle = \int \Psi^* X \Psi dx = \int \Psi^* x \Psi dx - Where the position operator simply multiplies the function by x.
- The wave function can always be expanded into a linear combination of the eigenfunctions of an operator:
\Psi = c1 \phi{a1} + c2 \phi{a2} + c3 \phi{a_3} + \dots - When the operator A acts on this wave function, it acts on each eigenfunction:
A \Psi = c1 a1 \phi{a1} + c2 a2 \phi{a2} + c3 a3 \phi{a3} + \dots
- Start with the expansion of the wave function:
\Psi = c1 \phi{a1} + c2 \phi{a2} + c3 \phi{a_3} - Then, \Psi^* = c1^* \phi{a1}^* + c2^* \phi{a2}^* + c3^* \phi{a_3}^*
- Calculate \int \Psi^* A \Psi dx:
\int (c1^* \phi{a1}^* + c2^* \phi{a2}^* + c3^* \phi{a3}^*) A (c1 \phi{a1} + c2 \phi{a2} + c3 \phi{a3}) dx - This results in nine terms (like multiplying two trinomials).
- Three terms involve the same eigenfunction and its complex conjugate, integrating to one:
\int \phi{ai}^* \phi{ai} dx = 1 - The other six terms involve different eigenfunctions and their complex conjugates, integrating to zero (orthogonality).
- Result:
\langle A \rangle = |c1|^2 a1 + |c2|^2 a2 + |c3|^2 a3 + \dots - Where |ci|^2 represents the probability of measuring the eigenvalue ai. This is the probability of measuring a1 times a1, plus probability of measuring a2 times a2, etc.
Wave Function Collapse
- When a measurement of an observable is made, the wave function "collapses" into the eigenfunction associated with the measured eigenvalue.
- The act of measurement inevitably alters the state of the particle, but ideally the measurement is designed to minimize such change.
Example
- Suppose the wave function is in a state:
\Psi = \sqrt{\frac{1}{7}} \phi{a1} + \sqrt{\frac{2}{7}} \phi{a2} + \sqrt{\frac{4}{7}} \phi{a3} - The probability of measuring a_2 is \frac{2}{7} (approximately 30%).
- If we measure a2, the wave function collapses to:
\Psi{\text{after}} = \phi{a2}
- After the measurement, a subsequent measurement of A will yield a_2 with 100% probability.
- If we then decide to measure the the B operator, that can written as
\phi{a2} = d1 \phi{b1} + d2 \phi{b2} + d3 \phi{b_3} - This shows how we lock it to the state of the the A operator before switching over the the B operator.
Particle in an Infinite Potential Well
- Consider a particle trapped between x = 0 and x = L in an infinite potential well.
Energy Measurement
- If a measurement of the energy yields E3, the wave function collapses to:
\Psi(x) = \phi{E_3} = \sqrt{\frac{2}{L}} \sin\left(\frac{3 \pi x}{L}\right)
Position Measurement
- If we then measure the position of the particle, we will obtain a distribution of possible values.
- If a particular measurement yields x = \frac{3}{4}L, the wave function collapses to a delta function at that position:
\Psi(x) = \delta(x - \frac{3}{4}L)
Momentum Measurement
- If instead after the energy measurement, we measure the momentum p_x of the particle, the wave function will collapse again.
- However, the eigenfunction of the momentum operator, e^{ikx}, has infinite extent and does not satisfy the boundary conditions of the infinite potential well.
- The collapse doesn't respect the boundaries of the of the particle.
- Therefore, the wave function collapses into a wave packet, representing a distribution of momentum values, consistent with the particle remaining within the box.
Standard Deviation of an Operator
- The standard deviation (or spread) of an operator A is defined as:
\sigma_A = \sqrt{\langle A^2 \rangle - \langle A \rangle^2} - Where \langle A^2 \rangle = \int \Psi^* A^2 \Psi dx is the average value of the operator squared, and \langle A \rangle^2 is the square of the average value of the operator.
- The average value of A^2 is not the same as the square of the average value of A.
Example: Standard Deviation of Temperature Measurements
- Suppose we make four temperature measurements: T1 = 20^\circ C, T2 = 30^\circ C, T3 = 40^\circ C, T4 = 50^\circ C.
- To calculate the standard deviation:
- Calculate the average of T^2: {\langle T^2 \rangle = \frac{20^2 + 30^2 + 40^2 + 50^2}{4} = \frac{5400}{4} = 1350.
- Calculate the average of T: \langle T \rangle = \frac{20 + 30 + 40 + 50}{4} = \frac{140}{4} = 35.
Position Measurement in the Infinite Well
- To find the spread of position values after collapse into E_3:
- Calculate \langle X \rangle = \int0^L \Psi^* x \Psi dx = \int0^L \sqrt{\frac{2}{L}} \sin\left(\frac{3 \pi x}{L}\right) x \sqrt{\frac{2}{L}} \sin\left(\frac{3 \pi x}{L}\right) dx = \frac{L}{2}.
- Calculate \langle X^2 \rangle = \int0^L \Psi^* x^2 \Psi dx = \int0^L \sqrt{\frac{2}{L}} \sin\left(\frac{3 \pi x}{L}\right) x^2 \sqrt{\frac{2}{L}} \sin\left(\frac{3 \pi x}{L}\right) dx
- The standard deviation is then calculated using the formula: \sigma_X = \sqrt{\langle X^2 \rangle - \langle X \rangle^2}$$