The big ideas of physics, with the fine print
Twelve results every physics PhD student should be able to derive, compute and say where they stop applying. Each one has a numerical lab: integrate the equations, watch the symmetry or approximation break, and compare with the closed form.
How to read this
Each idea has five parts. The statement gives the result in its standard form. Why it's true is the derivation you should be able to reproduce. Where it breaks covers the limits of validity, the hidden assumptions and the classic paradoxes. Key references points to the primary sources and standard texts. The lab runs the physics numerically.
Units: $\hbar=c=k_B=1$ unless stated. $\{\cdot,\cdot\}$ is the Poisson bracket and $\langle\cdot\rangle$ an ensemble or quantum expectation.
Hamiltonian flow
Liouville's theorem, and why symplectic integrators don't drift.
Least action
The classical path makes the action stationary.
Normal modes
Coupled oscillators decouple into independent modes, and beat.
Deterministic chaos
The double pendulum and exponential divergence.
Dispersion
Phase velocity, group velocity, and spreading wave packets.
The uncertainty principle
A theorem about Fourier transforms.
Phase transitions
The 2D Ising model and Onsager's critical temperature.
Brownian motion
Diffusion, and the Einstein relation linking fluctuation to dissipation.
Tunnelling
Exact transmission through a barrier, and resonances above it.
Bell's theorem
CHSH: local hidden variables give at most 2, quantum mechanics $2\sqrt2$.
Classical mechanics
Lagrangian and Hamiltonian mechanics recast Newton in terms of energy and geometry. That reformulation is the bridge to statistical mechanics, to quantum mechanics, and to the modern theory of dynamical systems.
Hamiltonian flow & Liouville's theorem
Hamiltonian evolution preserves phase-space volume. Numerical methods that respect that structure keep energy bounded forever, and methods that don't, drift.
Statement
With $H(q,p)$, Hamilton's equations $\dot q=\partial_pH$, $\dot p=-\partial_qH$ generate a flow $\Phi_t$ on phase space that is symplectic: it preserves $dq\wedge dp$, and so in particular phase-space volume (Liouville). For the pendulum $H=\tfrac12p^2-\cos q$, the orbits are level sets of $H$, and the separatrix $H=1$ divides librations from rotations.
Why it's true
The Hamiltonian vector field $(\partial_pH,-\partial_qH)$ has zero divergence, because $\partial_q\partial_pH-\partial_p\partial_qH=0$. So the flow is volume-preserving. Explicit Euler, $(q,p)\mapsto(q+hp,\;p-h\sin q)$, has Jacobian determinant $1+h^2\cos q\ne1$. It expands phase space, and energy grows steadily. Symplectic Euler updates $p$ first and then $q$ with the new $p$. Its Jacobian determinant is exactly 1, and backward error analysis shows it exactly conserves a nearby "shadow" Hamiltonian $\tilde H=H+O(h)$, so the energy error stays bounded for exponentially long times.
Where it breaks
(i) Dissipation and driving aren't Hamiltonian, so phase-space volume contracts onto attractors. (ii) Liouville preserves fine-grained volume, while coarse-grained volume (and entropy) can grow as distributions filament, which is the start of the arrow-of-time problem. (iii) Symplectic integrators with adaptive step sizes lose their guarantee unless the time-stepping is itself made symplectic. (iv) Near the separatrix the period diverges logarithmically, so any fixed-step method resolves it poorly.
Key references
Hamilton (1834–35); Liouville (1838); Arnold, Mathematical Methods of Classical Mechanics (1974); de Vogelaere (1956), Ruth (1983), Feng (1985) on symplectic integration; Hairer, Lubich & Wanner, Geometric Numerical Integration (2006).
The principle of least action
Of all paths between two fixed endpoints, the one nature takes makes the action stationary. Euler–Lagrange equations, Noether's theorem and the path integral all start here.
Statement
For a ball thrown upward, $L=\tfrac12m\dot y^2-mgy$, and the classical path is the parabola. If $L$ is unchanged by a continuous symmetry $q\to q+\epsilon K(q)$, then $\frac{\partial L}{\partial\dot q}K$ is conserved (Noether, 1918).
Why it's true
Vary the path, $q\to q+\epsilon\eta$ with $\eta(t_0)=\eta(t_1)=0$, and integrate by parts. Then $\delta S=\epsilon\int\eta\,\big[\partial_qL-\tfrac{d}{dt}\partial_{\dot q}L\big]dt$, which vanishes for all $\eta$ exactly when the Euler–Lagrange equation holds. In quantum mechanics, Feynman's path integral weights every path by $e^{iS/\hbar}$. Paths near a stationary point add in phase, and the rest cancel. That is why the classical path dominates when $S\gg\hbar$.
Where it breaks
(i) "Least" is a misnomer. The action is stationary, a minimum only for short enough times, before the first conjugate point (Jacobi). For a harmonic oscillator, paths longer than half a period are saddles. (ii) Non-holonomic constraints such as rolling without slipping don't follow from a naive variational principle. (iii) Dissipative forces need extra structure, such as Rayleigh dissipation functions or a doubled set of variables.
Key references
Fermat (1662); Maupertuis (1744); Euler (1744); Lagrange, Mécanique analytique (1788); Hamilton (1834); Noether (1918); Feynman, Rev. Mod. Phys. (1948); Gelfand & Fomin, Calculus of Variations.
Normal modes
Small oscillations of any system decouple into independent normal modes. Start a weakly coupled pair in one oscillator and the energy sloshes back and forth at the difference frequency.
Statement
Near a stable equilibrium, $L=\tfrac12\dot q^\top M\dot q-\tfrac12q^\top Kq$. The generalized eigenproblem $K\mathbf a=\omega^2M\mathbf a$ gives normal modes that oscillate independently. For two identical pendulums ($\omega_0^2=g/\ell$) joined by a spring of strength $\kappa$:
Why it's true
$M$ is positive definite and $K$ symmetric, so they can be simultaneously diagonalized. In normal coordinates the Lagrangian becomes a sum of independent oscillators. Starting with $x_1=A$, $x_2=0$ excites both modes equally. Then $x_1=A\cos\bar\omega t\cos\tfrac{\Delta\omega}2t$ and $x_2=A\sin\bar\omega t\sin\tfrac{\Delta\omega}2t$: a fast oscillation inside a slow envelope, with energy passing completely between the pendulums.
Where it breaks
(i) Nonlinearity couples the modes. The Fermi–Pasta–Ulam–Tsingou experiment (1955) expected energy to spread evenly among modes, and was surprised to see it come back. (ii) With degenerate frequencies the modes aren't unique. (iii) Detuning the two pendulums makes the energy transfer incomplete, the classical analogue of avoided crossings and Rabi oscillations.
Key references
Lagrange (1788); Rayleigh, The Theory of Sound (1877); Fermi, Pasta, Ulam & Tsingou, Los Alamos report LA-1940 (1955); Goldstein, Poole & Safko, Classical Mechanics, ch. 6.
Deterministic chaos
A double pendulum obeys exact, deterministic equations, yet two starts that differ by a billionth of a radian diverge exponentially and become uncorrelated within seconds.
Statement
A system is chaotic when nearby trajectories separate as $|\delta(t)|\approx|\delta(0)|e^{\lambda t}$ with maximal Lyapunov exponent $\lambda>0$, on a bounded invariant set. The predictability horizon then grows only logarithmically with precision:
Why it's true
A system with two degrees of freedom that is integrable has two conserved quantities, and its motion lies on invariant tori. The double pendulum conserves only energy. At low energy most tori survive (KAM theorem) and motion is quasi-periodic. At high energy they break up, and the tangent dynamics stretch and fold phase space, which produces positive Lyapunov exponents. Improving the initial measurement by a factor of $10^6$ buys only about $\ln10^6/\lambda$ extra seconds.
Where it breaks
(i) Low energy is nearly integrable: start near the bottom and the two copies stay together. (ii) Numerical trajectories of chaotic systems are wrong after $t_{\text{pred}}$, but shadowing lemmas show they stay close to some true trajectory, at least for hyperbolic systems. (iii) Chaos isn't randomness: statistics such as invariant measures and time averages can be perfectly predictable even when trajectories aren't.
Key references
Poincaré (1890) on the three-body problem; Lorenz, J. Atmos. Sci. (1963); Kolmogorov (1954), Arnold (1963), Moser (1962) (KAM); Strogatz, Nonlinear Dynamics and Chaos; Shinbrot et al., Am. J. Phys. (1992), on the double pendulum.
Waves
Linear waves are superpositions of plane waves, and the dispersion relation $\omega(k)$ says how each one moves. Two consequences run through physics: wave packets spread, and localization in one variable costs spread in its conjugate.
Dispersion & group velocity
Crests move at the phase velocity $\omega/k$, while the envelope, and the energy, moves at the group velocity $d\omega/dk$. If $\omega$ is nonlinear in $k$, the packet spreads.
Statement
A packet $\psi(x,t)=\int A(k)e^{i(kx-\omega(k)t)}dk$ centred on $k_0$ moves at $v_g=\omega'(k_0)$, and its width grows as
For deep water waves $\omega=\sqrt{gk}$, so $v_g=\tfrac12v_p$. For a free quantum particle $\omega=k^2/2m$, so $v_g=2v_p$. For light in vacuum $\omega=ck$, so there is no dispersion at all.
Why it's true
Expand $\omega(k)=\omega_0+v_g(k-k_0)+\tfrac12\omega''(k-k_0)^2$. The linear term translates the envelope rigidly. The quadratic term multiplies each component by a chirped phase, which for a Gaussian packet gives the formula above. The method of stationary phase gives the same result for any smooth $A(k)$.
Where it breaks
(i) Near absorption resonances, $v_g$ can exceed $c$ or go negative. Signals still respect causality, because the front velocity is $c$ (Sommerfeld & Brillouin, 1914). (ii) Nonlinearity can balance dispersion and give solitons, as in the KdV and nonlinear Schrödinger equations. (iii) Group velocity loses its meaning when the packet is so narrow that the Taylor expansion fails.
Key references
Hamilton (1839); Stokes (1876); Rayleigh, The Theory of Sound; Brillouin, Wave Propagation and Group Velocity (1960); Whitham, Linear and Nonlinear Waves (1974).
The uncertainty principle
A function and its Fourier transform can't both be narrow. In quantum mechanics position and momentum are such a pair, so $\Delta x\,\Delta p\ge\hbar/2$.
Statement
For any normalized $\psi\in L^2(\mathbb R)$ with transform $\tilde\psi(k)$, the spreads satisfy $\sigma_x\sigma_k\ge\tfrac12$, with equality exactly for Gaussians. More generally, for observables $A,B$ (Robertson, 1929):
Why it's true
Let $f=(A-\langle A\rangle)\psi$ and $g=(B-\langle B\rangle)\psi$. Cauchy–Schwarz gives $\|f\|^2\|g\|^2\ge|\langle f,g\rangle|^2\ge(\operatorname{Im}\langle f,g\rangle)^2=\tfrac14|\langle[A,B]\rangle|^2$. Equality needs $f\propto g$ with an imaginary constant, which for $x$ and $p$ is the first-order ODE whose solution is the Gaussian.
Where it breaks
(i) It's a statement about preparation, the spread of an ensemble, not about measurement disturbance. Ozawa (2003) gave a separate, corrected error–disturbance relation. (ii) Energy–time "uncertainty" isn't an operator relation, because there is no time operator. It is a statement about rates of change (Mandelstam–Tamm). (iii) For $A$ and $B$ that don't commute, the bound can still be zero in a particular state, so entropic uncertainty relations are often stronger.
Key references
Heisenberg, Z. Phys. (1927); Kennard (1927); Weyl (1928); Robertson, Phys. Rev. (1929); Mandelstam & Tamm (1945); Białynicki-Birula & Mycielski (1975), on entropic relations; Ozawa (2003).
Statistical mechanics
Large numbers turn microscopic randomness into macroscopic law: sharp phase transitions out of local interactions, and diffusion out of molecular kicks, tied to friction by a fluctuation–dissipation relation.
Phase transitions & the Ising model
Spins that only talk to their neighbours order spontaneously below a critical temperature. In two dimensions Onsager solved it exactly: $T_c=2/\ln(1+\sqrt2)\approx2.269$.
Statement
For $H=-J\sum_{\langle ij\rangle}s_is_j$ with $s_i=\pm1$ on the square lattice, the spontaneous magnetization is (Onsager 1944; Yang 1952)
Near $T_c$, $m\sim(T_c-T)^\beta$ with $\beta=1/8$, and the correlation length diverges with $\nu=1$. These exponents are universal across the 2D Ising class.
Why it's true
Peierls' argument (1936) shows order at low $T$: flipping a domain costs energy proportional to its boundary, and the entropy of boundaries of length $\ell$ grows only like $3^\ell$, so small domains win at low temperature. Onsager's exact solution diagonalizes a transfer matrix. The lab samples the Boltzmann distribution with the Metropolis algorithm: flip a spin with probability $\min(1,e^{-\Delta E/T})$. That satisfies detailed balance, so the stationary distribution is the Gibbs measure.
Where it breaks
(i) Mean-field theory predicts $T_c=4J$ and $\beta=\tfrac12$, both wrong in 2D. Fluctuations matter below the upper critical dimension, 4. (ii) In one dimension there is no transition at any $T>0$. (iii) Finite systems never truly break symmetry: $\langle m\rangle=0$ exactly, so simulations measure $\langle|m|\rangle$. (iv) Metropolis suffers critical slowing down near $T_c$, and cluster algorithms (Swendsen–Wang, Wolff) fix this.
Key references
Ising (1925); Peierls (1936); Onsager, Phys. Rev. (1944); Yang (1952); Metropolis et al., J. Chem. Phys. (1953); Wilson (1971) on the renormalization group; Goldenfeld, Lectures on Phase Transitions and the Renormalization Group.
Brownian motion & fluctuation–dissipation
The random kicks that make a particle diffuse and the friction that slows it come from the same collisions. Einstein's relation $D=\mu k_BT$ ties them together, and it let Perrin count molecules.
Statement
For a particle with mobility $\mu$ (drag coefficient $\gamma=1/\mu$) in a fluid at temperature $T$, the mean squared displacement in $d$ dimensions grows linearly:
Why it's true
In the Langevin equation $m\dot v=-\gamma v+\xi(t)$ with white noise $\langle\xi(t)\xi(t')\rangle=2\Gamma\delta(t-t')$, equipartition $\tfrac12m\langle v^2\rangle=\tfrac12k_BT$ forces $\Gamma=\gamma k_BT$: the noise strength is fixed by the friction. Integrating twice, for $t\gg m/\gamma$, gives $\langle x^2\rangle=2(k_BT/\gamma)t$. The central limit theorem explains why the displacement distribution is Gaussian whatever the details of the kicks.
Where it breaks
(i) At short times ($t\lesssim m/\gamma$) motion is ballistic, $\langle x^2\rangle\propto t^2$. This was first resolved experimentally by Li et al. (2010). (ii) Hydrodynamic memory gives a long-time tail in the velocity autocorrelation, $\propto t^{-3/2}$ (Alder & Wainwright, 1970). (iii) In crowded or heterogeneous media diffusion is often anomalous, $\langle x^2\rangle\propto t^\alpha$ with $\alpha\ne1$.
Key references
Brown (1827); Einstein, Ann. Phys. (1905); Smoluchowski (1906); Langevin (1908); Perrin (1909), Nobel 1926; Kubo (1966) on fluctuation–dissipation; Li, Kheifets, Medellin & Raizen, Science (2010).
Quantum mechanics
Two results that have no classical counterpart: particles crossing barriers they can't climb, and correlations stronger than any local theory allows.
Quantum tunnelling
A particle with less energy than a barrier still gets through with probability that falls exponentially with the barrier's width. Above the barrier, reflection doesn't vanish, except at resonances.
Statement
For a rectangular barrier of height $V_0$ and width $a$, with $\hbar^2/2m=1$, $k=\sqrt E$ and $\kappa=\sqrt{V_0-E}$:
with $q=\sqrt{E-V_0}$. For thick barriers $T\approx16\frac{E}{V_0}\big(1-\frac{E}{V_0}\big)e^{-2\kappa a}$.
Why it's true
Inside the barrier the solution of Schrödinger's equation is a combination of $e^{\pm\kappa x}$, decaying rather than oscillating. Matching $\psi$ and $\psi'$ at both edges gives four linear equations for the amplitudes, which solve to the formula. Above the barrier, $T=1$ exactly when $qa=n\pi$: the barrier region holds a whole number of half-wavelengths, and reflections from the two edges cancel (a Fabry–Pérot resonance).
Where it breaks
(i) The WKB approximation $T\approx e^{-2\int\kappa\,dx}$ fails near turning points and for thin barriers. (ii) Tunnelling time is subtle: the Hartman effect says the phase delay saturates with width, but no signal travels faster than light. (iii) Interactions and dissipation suppress tunnelling of macroscopic variables (Caldeira–Leggett, 1981).
Key references
Hund (1927); Gamow (1928), and Gurney & Condon (1928), on alpha decay; Fowler & Nordheim (1928) on field emission; Esaki (1958) tunnel diode; Binnig & Rohrer (1982) scanning tunnelling microscope; Griffiths, Introduction to Quantum Mechanics, §2.6.
Bell's theorem
Any theory in which measurement outcomes are fixed by local hidden variables obeys the CHSH inequality $|S|\le2$. Entangled spins reach $2\sqrt2$, and experiments agree with quantum mechanics.
Statement
Alice measures with setting $a$ or $a'$ and Bob with $b$ or $b'$. The outcomes are $\pm1$, and $E(a,b)$ is their average product. Then
For the singlet state, $E(a,b)=-\cos(a-b)$. With $a=0$, $a'=90°$, $b=45°$, $b'=135°$ this gives $|S|=2\sqrt2$.
Why it's true
With hidden variable $\lambda$ and deterministic local outcomes $A(a,\lambda),B(b,\lambda)\in\{\pm1\}$: $A(a)[B(b)-B(b')]+A(a')[B(b)+B(b')]$. One bracket is 0 and the other is $\pm2$, so each run contributes $\pm2$, and averaging over $\lambda$ gives $|S|\le2$. The quantum bound comes from $\|A\otimes(B-B')+A'\otimes(B+B')\|\le2\sqrt2$ for operators with eigenvalues $\pm1$.
Where it breaks
Experiments have to close loopholes. The detection loophole arises when inefficient detectors let a hidden-variable model choose which events to drop. The locality loophole arises when settings and outcomes aren't spacelike separated. Freedom of choice requires the settings to be independent of $\lambda$. All three were closed simultaneously in 2015 (Hensen et al.; Giustina et al.; Shalm et al.). Bell's theorem rules out local hidden variables. Non-local ones (Bohmian mechanics) remain logically possible.
Key references
Einstein, Podolsky & Rosen (1935); Bell, Physics (1964); Clauser, Horne, Shimony & Holt, PRL (1969); Tsirelson (1980); Aspect et al. (1982); Hensen et al., Nature (2015). Aspect, Clauser and Zeilinger shared the 2022 Nobel Prize.
Relativity
Special relativity is the geometry of Minkowski spacetime. General relativity makes that geometry dynamical, and its smallest measurable correction to Newton, the precession of Mercury's orbit, was its first success.
Lorentz transformations & simultaneity
A boost is a hyperbolic rotation of spacetime. It preserves the interval $s^2=t^2-x^2$, and it tilts the lines of simultaneity, so "now" depends on who is asking.
Statement
Writing $v=\tanh\phi$ with rapidity $\phi$ makes the boost a hyperbolic rotation, $\begin{pmatrix}\cosh\phi&-\sinh\phi\\-\sinh\phi&\cosh\phi\end{pmatrix}$. Rapidities add: velocities compose as $\tanh(\phi_1+\phi_2)$.
Why it's true
Linearity follows from homogeneity of space and time. Invariance of the light cone $t=\pm x$ forces the transformation to preserve $t^2-x^2$ up to a factor, and isotropy plus the group property fixes that factor to 1. The $t'$ axis is the worldline $x=vt$. The $x'$ axis (where $t'=0$) is the line $t=vx$, tilted toward the light cone by the same angle. Events on a horizontal line in one frame aren't simultaneous in the other.
Where it breaks
(i) The "paradoxes" (twins, barn and pole, Bell's spaceships) are all resolved by tracking simultaneity and acceleration carefully. They aren't inconsistencies. (ii) For non-inertial frames, Lorentz transformations hold only locally. (iii) Lorentz invariance has been tested to extraordinary precision, and searches for violations (the Standard-Model Extension) have found none so far.
Key references
Lorentz (1904); Poincaré (1905); Einstein, Ann. Phys. (1905); Minkowski, "Raum und Zeit" (1908); Taylor & Wheeler, Spacetime Physics (2nd ed., 1992).
Perihelion precession
In Newtonian gravity a bound orbit closes. In Schwarzschild spacetime it precesses by $6\pi GM/c^2a(1-e^2)$ per orbit, which is 43 arcseconds per century for Mercury.
Statement
For timelike geodesics in the Schwarzschild metric, with $u=1/r$ and angular momentum per unit mass $h$,
Why it's true
Without the $u^2$ term the solution is the conic $u=\frac{GM}{h^2}(1+e\cos\phi)$. Treat $\varepsilon=3GM/c^2$ as a perturbation. The resonant term generates $u\propto\cos\big((1-\varepsilon GM/h^2)\phi\big)$ to first order, so perihelion recurs after $\Delta\phi=2\pi(1+3G^2M^2/h^2c^2)$. Substituting $h^2=GMa(1-e^2)$ gives the formula. For Mercury that's $5.0\times10^{-7}$ rad per orbit, and 415 orbits per century give 43″.
Where it breaks
(i) Mercury's total observed precession is about 5,600″ per century. Most of it comes from the precession of the equinoxes (about 5,025″) and planetary perturbations (about 532″). The 43″ is the residual Newton couldn't explain. (ii) Near a black hole the perturbative formula fails: orbits zoom and whirl, and inside $r=6GM/c^2$ (the ISCO) there are no stable circular orbits. (iii) Solar oblateness ($J_2$) contributes a tiny amount, which was once proposed as an alternative explanation.
Key references
Le Verrier (1859) found the anomaly; Einstein (1915) explained it; Schwarzschild (1916); Clemence, Rev. Mod. Phys. (1947); Will, Theory and Experiment in Gravitational Physics (2018); Weinberg, Gravitation and Cosmology (1972).
Four threads through the twelve
Variational structure
Action principles, symplectic flow and geodesics (ideas 1, 2, 12) put dynamics in geometric form. Respecting that structure, numerically or theoretically, is what makes long-time predictions possible.
Linear superposition
Normal modes, dispersion, Fourier uncertainty and tunnelling (ideas 3, 5, 6, 9) all decompose a problem into independent waves. Nonlinearity (ideas 3, 4) is what couples them.
Statistics from dynamics
Chaos, Ising criticality and Brownian motion (ideas 4, 7, 8) show reproducible laws emerging from microscopic motion that is unpredictable in detail.
Invariants decide
The spacetime interval, Tsirelson's bound and phase-space volume (ideas 1, 10, 11) are quantities every observer or every theory must agree on. Most of what's surprising in modern physics is what's left when you keep only those.
A reading list
- L. D. Landau & E. M. Lifshitz, Course of Theoretical Physics, especially Mechanics and Statistical Physics.
- V. I. Arnold, Mathematical Methods of Classical Mechanics (1974), and S. Strogatz, Nonlinear Dynamics and Chaos (2nd ed., 2015).
- J. J. Sakurai & J. Napolitano, Modern Quantum Mechanics (3rd ed., 2020).
- J. P. Sethna, Statistical Mechanics: Entropy, Order Parameters, and Complexity (2nd ed., 2021). Free online, with superb exercises.
- J. S. Bell, Speakable and Unspeakable in Quantum Mechanics (1987).
- S. Carroll, Spacetime and Geometry (2004).