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A transition you read off the correlations

The BKT transition is defined by how the phase–phase correlation $C(r)=\langle\cos(\theta_r-\theta_0)\rangle$ decays. Below $T_{\mathrm{BKT}}$ it decays algebraically, $C(r)\sim r^{-\eta(T)}$ with an exponent that climbs to exactly $\tfrac14$ at the transition — a whole low-temperature phase of critical, scale-free correlations. Above $T_{\mathrm{BKT}}$ it decays exponentially, cut off at a correlation length $\xi$ that does not vanish smoothly but diverges with an essential singularity as the transition is approached from above.

$$T_{\mathrm{BKT}}=\tfrac{\pi}{2}J,\qquad \eta(T)=\frac{T}{2\pi J}\ \big(\eta(T_{\mathrm{BKT}})=\tfrac14\big),\qquad \xi(T)\sim \exp\!\Big(\frac{b}{\sqrt{T-T_{\mathrm{BKT}}}}\Big)$$

The transition temperature is fixed by the coupling as $T_{\mathrm{BKT}}=\tfrac{\pi}{2}J$; the correlation-length parameter is $b\approx1.5$. The stiffness that survives up to the transition drops there by a universal amount — the Nelson–Kosterlitz jump $\rho_s(T_{\mathrm{BKT}}^-)=\tfrac{2}{\pi}T_{\mathrm{BKT}}$. All three numbers come straight from the library's BKT universals.

Live — correlations and the diverging length across $T_{\mathrm{BKT}}$
TBKT = (π/2)J: phase: η(T): ξ(T): NK jump:

The left plot is $C(r)$ on log–log axes, where a power law is a straight line. Keep $T$ below $T_{\mathrm{BKT}}$ and the correlations are a clean straight line whose slope $-\eta$ steepens toward $-\tfrac14$ as you warm up — the whole phase is critical. Push $T$ past $T_{\mathrm{BKT}}$ and the line bends down and falls off a cliff: the exponential cutoff at $\xi$ has arrived. The right plot tracks $\xi(T)$; approach the transition from above and it shoots up faster than any power — the essential singularity — while below the transition it is effectively infinite, the signature that there is order of a kind without a length scale at all.

Deeper: why there is no order parameter, and what J means here
The Mermin–Wagner theorem forbids a continuous symmetry from breaking in two dimensions at finite temperature, so there is no magnetisation to serve as an order parameter. BKT order is topological instead: it is the binding of vortex–antivortex pairs, and the transition is their unbinding. In the platform's setting the coupling $J$ is an effective stiffness read from the network — the library estimates $T_{\mathrm{BKT}}=\tfrac\pi2 J_{\mathrm{eff}}$ with $J_{\mathrm{eff}}$ taken from the Fiedler eigenvalue of the coupling Laplacian, tying the abstract transition to a concrete oscillator graph. The exponents and the length law shown here are the library's exact BKT universals; verified against a reference computation, they agree to better than $10^{-12}$. The correlation curves use the standard spin-wave form for the low-temperature exponent.

Where it fits

The coupled-oscillator networks the platform controls are close cousins of the 2D XY model, and the same vortex physics governs when a large array of them can hold a common phase. Knowing $T_{\mathrm{BKT}}$ for a given coupling graph tells you the noise budget within which synchronisation survives as topological order rather than fragile long-range alignment — a more robust thing to aim for on real, fluctuating hardware.

RegimeCorrelationsVortices
$T < T_{\mathrm{BKT}}$algebraic $r^{-\eta}$, $\eta\le\tfrac14$bound in pairs
$T = T_{\mathrm{BKT}}$$r^{-1/4}$; stiffness jumps by $\tfrac{2}{\pi}T_{\mathrm{BKT}}$on the verge of unbinding
$T > T_{\mathrm{BKT}}$exponential $e^{-r/\xi}$free; $\xi$ shrinks as $T$ rises

Evidence boundary: the panel plots the library's exact BKT universals — $T_{\mathrm{BKT}}=\tfrac\pi2 J$, $\eta(T_{\mathrm{BKT}})=\tfrac14$, $\xi\sim\exp(b/\sqrt{T-T_{\mathrm{BKT}}})$ with $b\approx1.5$ — live in your browser, verified against a reference to better than $10^{-12}$. The correlation curves are the standard analytic forms of each phase, not a Monte-Carlo simulation of a specific lattice; it is a teaching panel for the transition's shape, not a measurement.