The Brownian motion displacement has a normal distribution with variance . Its transition probability density function is thereforeComparison with the free particle heat kernel obtained in part (c) gives the required matching:This matches whole path distributions after a linear reparametrization, not merely endpoint variances. To see this, divide the Brownian duration into slices of size . The independent increments have normal distributions with variance , so their joint density contributesFor the Euclidean path integral, the corresponding expression isThe matching condition makes , so both the exponents and all normalization factors coincide. In particular, identifying Brownian time with imaginary time, , requires , or diffusion coefficient .
With both endpoints fixed, the normalized path law is a Brownian bridge. The Euclidean path integral itself is the endpoint density times that conditional path law. In the normalized time coordinate , its expected value and covariance areThe classical path is therefore the bridge's expected value, while individual Brownian bridge paths fluctuate about it. Typical Brownian motion paths are continuous but nowhere differentiable: the kinetic Euclidean action is interpreted through the time-sliced diffusion path integral, rather than by assuming that a typical path has an ordinary velocity.
Take and split it into intervals of width . The markov property and Gaussian convolution giveThis finite-dimensional identity is exact for every positive . Define the path-integral measure by these normalized time slices:In the time-sliced diffusion path integral, the discrete exponent is . Its conventional continuum notation is thereforeThe time-slice normalization is essential, not an arbitrary multiplicative constant. Brownian paths are almost surely nondifferentiable, so the displayed action is shorthand for the Gaussian limiting measure rather than an ordinary integral of the derivative of each typical path.