Quantum mechanics Created 2026-09-24 Updated 2026-10-18
Quantum mechanics describes a quantum system using a quantum state, with observables represented by self-adjoint operators. For a single particle in one dimension, a pure state can be described by a wavefunction : its squared modulus gives the probability density for position. The Schrödinger equation predicts how this probability amplitude evolves between interventions; measurement in quantum mechanics connects it to experimental outcomes through the Born rule. A wavefunction therefore predicts a distribution of possible positions rather than a single trajectory as in classical mechanics.
The infinite square well makes three central ideas visible with elementary sine functions. Confinement selects discrete energy eigenvalues; wavefunction normalization converts a shape into quantitative probabilities; and a quantum superposition can have a changing probability density even when each constituent energy eigenstate has a stationary one. This combination explains why quantum mechanics uses both linear algebra and differential equations: eigenfunctions describe the building blocks, while quantum phases determine how they interfere. The same tools help explain the discrete energies of chemical atoms and molecules, although their Quantum Hamiltonians require different potentials and often many particles.
In his first 1926 paper, Erwin Schrödinger formulated quantization as an eigenvalue problem for a hydrogen atom in nonrelativistic quantum mechanics. On its opening page he compared the emergence of integers with the number of nodes of a standing wave on a vibrating string. The infinite square well below realizes that appealing idea especially transparently: the allowed integers follow from the boundary conditions. This historical analogy concerns the origin of discrete energies; the Born rule supplies the statistical interpretation of the modern wavefunction. [ref]
Quantisierung als Eigenwertproblem (Erste Mitteilung) by Erwin Schrödinger. Schrödinger, Quantisierung als Eigenwertproblem, 1926, pp. 361–363
. Rectangular barrier transmission probability 2026-10-14
For equal exterior potential energies and constant mass, the exact transmission probability isBelow the barrier, the hyperbolic sine is positive for , so . At , the interior wavefunction is linear in ; either neighbouring formula has the displayed finite limit, since and tend to one. Above the barrier, the interior wavefunction oscillates: the quantum reflection probability generally remains nonzero, but for a positive integer gives perfect transmission probability through constructive wave interference. These are scattering resonances, not below-barrier quantum tunnelling.
At half height, , we have and , consistent with finite square barrier transmission at half barrier height after replacing this width by that example's width . In the illustration, the width is four times and , giving . The plotted wavefunction comes from solving the four interface equations; the transmission probability curve uses the closed formula.
Matched square-barrier wavefunction and transmission below and above the barrier
. Original model calculations with equal exterior potential energies, constant mass and incident probability amplitude one. The real part and imaginary part of the wavefunction, its modulus and the exact transmission probability are shown; these curves are not measurements. The conserved net probability current is small but nonzero throughout the barrier. Details.Let with , zero initial displacement and velocity, and real-valued forcing with . The causal Green function gives . Expanding the sine difference, the two coefficients tend to finite limits by absolute convergence. Thus approaches a sinusoid whose amplitude is the displayed modulus of the one-sided Fourier transform, divided by . The displacement error is at most , which tends to zero. This describes the surviving free oscillation after a transient force; an arbitrary nonzero initial oscillation must be added before taking the final amplitude.
Riemann sphere Created 2026-09-24 Updated 2026-10-18
The extra point completes the complex plane into a compact Riemann surface. It is one point shared by every direction of escape: , and all tend to as . A basis of neighbourhoods at isThis is the one-point compactification of the complex plane; convergence to means that the modulus tends to infinity.[ref]
Complex Analysis Lecture Notes by Dan Romik. Complex Analysis Lecture Notes, section 9, item 84, printed p. 33, topological definition
For a concrete picture, use the unit sphereand identify with in its equatorial plane. The north pole represents and the south pole represents . The stereographic projection below gives the identification. This convention fixes the scale: the equator corresponds to .[ref]
Why add this point? The Möbius transformation then exchanges and and becomes a holomorphic map everywhere on the Riemann sphere. Its apparent blow-up at zero disappears when its output is expressed in the reciprocal chart at infinity: . This is a concrete instance of a meromorphic function as a holomorphic map to the Riemann sphere. The additional point makes the complex plane compact, while its second manifold chart lets us do ordinary complex analysis near infinity.
Series RC impedance 2026-10-18
Consider a stipulated series circuit containing an ideal resistor of electrical resistance and an ideal capacitor of capacitance . The same electric current passes through both. Their terminal electric potential differences add by Kirchhoff's voltage law, soA quick derivation uses : taking the derivative of the complex exponential multiplies the capacitor voltage phasor by , hence . Dimensionally, has units , matching .
At frequency , the angular frequency is . The signed capacitive electrical reactance, modulus and complex argument of the total electrical impedance areApply across the complete series circuit. Its root mean square electric current isWith voltage as the zero-phase reference, the current phasor has complex argument : electric current leads. The phasor drops have moduli and ; these add as complex numbers, not as positive magnitudes. Their squared magnitudes sum to .
The mean absorbed power uses the root mean square values:The ideal capacitor has zero cycle-averaged absorbed power; all the mean absorbed power becomes Joule heating in the resistor.[ref]
University Physics Volume 2 by Samuel J. Ling and others. §15.4, equations 15.12–15.14 and the capacitor/inductor paragraph: RMS average power and zero ideal reactive average power
To see why the phase factor appears, average over a full cycle with and . The cosine addition formula reduces the average to ; the term at averages to zero. Independently, , and the capacitor energy returns to its starting value after each cycle.At fixed applied , the limit gives , and : the ideal capacitor blocks steady electric current. The limit gives , and . These are limits of the ideal lumped electrical circuit; unwanted lead inductance and component losses can invalidate that model at high frequency. At , the equal legs of the impedance right triangle give and without numerical evaluation. Measuring both the magnitude and the sign of the phase difference distinguishes this capacitor response from an equally large positive electrical reactance.
Strict linear stability domain 2026-10-14
The strict decay convention for a linear stability domain demands that every numerical mode tends to zero on the Dahlquist test equation. For a one-step stability function it requires ; for a multistep method it requires every amplification root to have modulus below one. This differs from a boundedness convention that allows simple unit-circle roots, and from mesh-uniform finite-time numerical stability. Cambridge numerical analysis notes use the decay convention. Explicitly specifying the convention is essential for methods with undamped modes.
Two-element radio interferometer 2026-10-25
A two-element radio interferometer coherently combines signals from two receiving antennas. With equal single-arm wave intensity , projected baseline , free-space wavelength and imposed phase difference , its directional response is the displayed formula. It follows by adding the two complex amplitudes and taking the squared modulus. Near the normal to the baseline, the first null is from a maximum. This narrow response repeats in interference fringes, so a long baseline alone does not give an unambiguous image.
Wave function Created 2026-10-13 Updated 2026-10-20
A wavefunction is the position representation of a pure state. In the one-dimensional model used here, takes values in the complex numbers, and the Born rule givesThe probability density has units of inverse length; the wavefunction has units of inverse square root of length. A value of at a point is not itself a probability: probabilities come from an integral over a region. For the infinite square well ground state, , whereas the probability of the exact single point is zero. The interesting question is how much probability a finite interval contains.
Two wavefunctions differing only by a global phase represent the same pure state. Relative quantum phases between components of a quantum superposition affect matter-wave interference, so retaining the full complex number amplitude is essential. This scalar description covers a particle without active spin degrees of freedom; a general electron wavefunction can have two spin components, with the position probability density obtained by adding the squared modulus of each component.
Wavefunction normalization Created 2026-10-06 Updated 2026-10-20
Wavefunction normalization makes the total Born rule probability equal to one. In an orthonormal basis of energy eigenstates, is normalized precisely when .
For a proposed infinite square well mode , the integral of its squared modulus is . Thus wavefunction normalization requires ; choosing real and positive fixes a convenient global phase. For the equal quantum superposition , orthogonality makes the integrated cross term zero, leaving . The cross term can nevertheless be nonzero locally: normalization constrains total probability, not the shape of its probability density.
Wave reflection 2026-10-18
Wave reflection returns part of an incident wave into the medium from which it arrived, as a consequence of an interface or spatial variation of material properties. An amplitude reflection coefficient compares the reflected and incident waves; its squared modulus gives their wave intensity ratio when both use the same medium and normalization. Reflected energy has not necessarily undergone wave absorption.

