Brownian Bridge: Conditioned Random Walk

A Brownian bridge is a Wiener process conditioned to start and end at fixed points. Unlike free Brownian motion, it must return — creating a "pinched" process with unique statistical properties.

Bridge paths (B(t)|B(T)=b)
Free Brownian paths
Mean ± 1σ envelope
Paths shown 8
End value b 0.0
Volatility σ 1.0

Formula: B_bridge(t) = W(t) − (t/T)·W(T) + (t/T)·b where W is standard Brownian motion. The variance is Var[B(t)] = σ²·t(T−t)/T — maximal at t=T/2, zero at endpoints.