Schrödinger’s Equation, Probability Current & Ehrenfest Theorems
The dynamics of wave mechanics: derivation of the Time-Dependent and Time-Independent Schrödinger equations, stationary states, the conservation of probability, continuity equation, probability current density, time variation of observables, and Ehrenfest's theorem connecting quantum and classical trajectories.
§3.1 The Schrödinger Wave Equations
The Time-Dependent Schrödinger Equation (TDSE)
In 1926, Erwin Schrödinger formulated the fundamental wave equation for a non-relativistic particle of mass $m$ subjected to a potential energy $V(\mathbf{r}, t)$:
Where:
- $i = \sqrt{-1}$ is the imaginary unit.
- $\nabla^2 = \frac{\partial^2}{\partial x^2} + \frac{\partial^2}{\partial y^2} + \frac{\partial^2}{\partial z^2}$ is the spatial Laplacian operator.
- $\hat{H} = \frac{\hat{p}^2}{2m} + V(\mathbf{r})$ is the Hamiltonian operator.
Because the TDSE is first-order in time $t$, specifying the initial wavefunction $\Psi(\mathbf{r}, 0)$ uniquely determines $\Psi(\mathbf{r}, t)$ for all future times. Because it is linear in $\Psi$, it satisfies the superposition principle.
Separation of Variables: The Time-Independent Schrödinger Equation (TISE)
When the potential energy is independent of time ($V(\mathbf{r}, t) = V(\mathbf{r})$), we seek product solutions:
Substituting into the TDSE and dividing both sides by $\psi(\mathbf{r}) \phi(t)$:
The left side depends solely on $t$, while the right side depends solely on $\mathbf{r}$. Both sides must therefore equal a separation constant $E$ with dimensions of energy:
1. Temporal Differential Equation:
2. Spatial Differential Equation (TISE):
Stationary States and Their Properties
Solutions of the form $\Psi_n(\mathbf{r}, t) = \psi_n(\mathbf{r}) e^{-i E_n t / \hbar}$ are called stationary states because their physical properties are time-independent:
1. Probability Density:
2. Expectation Values: For any time-independent observable $\hat{A}$:
§3.2 Conservation of Probability and the Continuity Equation
Mathematical Derivation of the Continuity Equation
The total probability of finding a particle in all of space is:
Taking the time derivative:
From the TDSE:
Taking the complex conjugate:
Substituting these into the time derivative of the probability density $\rho = \Psi^* \Psi$:
The potential terms cancel:
Defining the Probability Current Density $J(x,t)$:
This yields the Quantum Continuity Equation:
Integrating over all space:
Since physical wavefunctions must vanish at infinity for square-integrability, $J(\pm \infty, t) = 0$. Consequently, total probability is conserved for all time: $\int_{-\infty}^{+\infty} |\Psi(x,t)|^2 dx = 1$.
§3.3 Time Evolution of Observables and Ehrenfest's Theorem
General Equation of Motion for Expectation Values
Let $\hat{A}$ be an arbitrary quantum observable. Its expectation value is $\langle A \rangle = \langle \Psi | \hat{A} | \Psi \rangle$. Taking the total time derivative:
Using the TDSE $|\dot{\Psi}\rangle = \frac{1}{i\hbar}\hat{H}|\Psi\rangle$ and $\langle \dot{\Psi}| = -\frac{1}{i\hbar}\langle \Psi|\hat{H}$:
Constants of Motion
If an observable $\hat{A}$ has no explicit time dependence ($\frac{\partial \hat{A}}{\partial t} = 0$) and commutes with the Hamiltonian ($[\hat{A}, \hat{H}] = 0$), then:
Such an observable is a constant of motion. Its expectation value is time-independent in any state.
Ehrenfest's Theorems (The Classical Limit)
Paul Ehrenfest (1927) showed that quantum expectation values obey classical equations of motion:
1. First Ehrenfest Theorem (Position):
Let $\hat{A} = \hat{x}$. Commuting with $\hat{H} = \frac{\hat{p}^2}{2m} + V(\hat{x})$:
2. Second Ehrenfest Theorem (Momentum):
Let $\hat{A} = \hat{p}$. Commuting with $\hat{H}$:
This reproduces Newton's Second Law ($mathbf{F} = mmathbf{a}$) for expectation values, showing how classical physics emerges from quantum mechanics in macroscopic systems.
See Simulation 3.1 below for a real-time visualization of a free Gaussian wavepacket spreading and dispersing over time.