CUHK-Shenzhen AI Math Problems

Random problem Random solved Random open Back to database

Problem 13

Submit a solution

open

First-passage time of Brownian motion to an exponentially decaying boundary

Let \((W_t)_{t \ge 0}\) be a standard Brownian motion with \(W_0 = 0\), and let \(b : [0,\infty) \to \mathbb{R}_{>0}\) be the exponentially decaying boundary

\[ b(t) = b_0 e^{-ct}, \qquad b_0 > 0,\ c > 0. \]

Define the first-passage time

\[ \tau = \inf\{\, t > 0 : W_t \ge b(t) \,\}, \]

with distribution function \(F(t) = \mathbb{P}(\tau \le t)\). We are interested in finding explicitly the distribution of \(\tau\). Beyond its theoretical interest, this problem has a direct application in computational neuroscience: neuronal spiking is often modeled as Brownian motion hitting a threshold, with the post-spike refractory period modeled as an exponentially decaying boundary; see Tamborrino (2016).

Known facts

Existence and continuity of the density. Since \(b(0)=b_0 > W_0\) and \(b\) is continuously differentiable on \((0,\infty)\), then according to Strassen (1967) and Durbin (1985), \(F\) admits a density \(f\) with respect to Lebesgue measure that is continuous on \((0,\infty)\).

Open problem

Despite the regularity theory above, no closed-form expression for \(f\) in terms of elementary or standard special functions (Bessel, Airy, parabolic cylinder, confluent hypergeometric, etc.) is known.

Problem. Find an explicit closed-form expression for the density \(f(t)\), \(t > 0\), of the first-passage time

\[ \tau = \inf\{\, t > 0 : W_t \ge b(t)\,\} \]

of a standard Brownian motion to the exponentially decaying boundary \(b(t)=b_0e^{-ct}\).

This stands in contrast to the handful of boundaries for which \(f\) is known explicitly: linear (Bachelier-Lévy), square-root (Breiman 1967), and quadratic (Salminen 1988; Groeneboom 1989).

The Volterra integral equation formulation

The natural rigorous substitute for an explicit formula is the characterization of \(f\) as a solution of a Volterra integral equation of the first kind, due to Peskir (2002).

Master integral equation. Define \(H_{-1} = \phi\), the standard normal density, and \(H_n(x)=\int_x^\infty H_{n-1}(z)\,dz\) for \(n\ge 0\). Then for every integer \(n\ge -1\) and every \(t>0\),

\[ t^{n/2} H_n\!\left(\frac{b(t)}{\sqrt t}\right) = \int_0^t (t-s)^{n/2} H_n\!\left(\frac{b(t)-b(s)}{\sqrt{t-s}}\right) f(s)\,ds. \tag{*} \]

This family holds for the exponential boundary \(b(t)=b_0e^{-ct}\) for every \(t>0\), since \(b\) is continuously differentiable on all of \((0,\infty)\) and Peskir's regularity hypotheses are satisfied for any such boundary. Here \(f(s)\,ds\) stands in for \(F(ds)\), valid because \(F\) admits a continuous density \(f\) for this boundary; Peskir's original system holds in the more general Lebesgue-Stieltjes form \(F(ds)\) for any continuous boundary, with no density assumed.

The simplest member, \(n=-1\), with \(H_{-1}=\phi\), is the classical generalized Abel equation of Durbin (1971):

\[ \int_0^t \frac{1}{\sqrt{t-s}} \phi\!\left(\frac{b(t)-b(s)}{\sqrt{t-s}}\right) f(s)\,ds = \frac{1}{\sqrt t} \phi\!\left(\frac{b(t)}{\sqrt t}\right), \qquad \phi(x)=\frac{1}{\sqrt{2\pi}}e^{-x^2/2}. \]

For \(b(t)=b_0e^{-ct}\), both equations above are fully explicit in \(b(t)-b(s)=b_0(e^{-ct}-e^{-cs})\). The only unknown remaining is \(f\) inside the integral. The open problem above is therefore equivalent to inverting the master equation in closed form for this specific kernel.

References

V. Strassen, Almost sure behaviour of sums of independent random variables and martingales, Proc. 5th Berkeley Symp. Math. Statist. Prob. 3 (1967), 315-343.

J. Durbin, Boundary-crossing probabilities for the Brownian motion and Poisson processes and techniques for computing the power of the Kolmogorov-Smirnov test, J. Appl. Probab. 8(3) (1971), 431-453.

J. Durbin, The first-passage density of a continuous Gaussian process to a general boundary, J. Appl. Probab. 22 (1985), 99-122.

G. Peskir, On integral equations arising in the first-passage problem for Brownian motion, J. Integral Equations Appl. 14(4) (2002), 397-423.

L. Breiman, First exit times from a square root boundary, in Proc. Fifth Berkeley Symp. Math. Statist. Probab., Vol. II, Part 2 (1967), 9-16.

P. Salminen, On the first hitting time and the last exit time for a Brownian motion to/from a moving boundary, Adv. Appl. Probab. 20(2) (1988), 411-426.

P. Groeneboom, Brownian motion with a parabolic drift and Airy functions, Probab. Theory Related Fields 81 (1989), 79-109.

M. Tamborrino, Approximation of the first passage time density of a Wiener process to an exponentially decaying boundary by two-piecewise linear threshold, Math. Biosci. Eng. 13(3) (2016), 613-629.

Source: Aria Ahari.

Brownian motion first-passage times stochastic processes Volterra integral equations computational neuroscience

LaTeX source
\title{An Open Problem: First-Passage time of Brownian Motion \\
to an Exponentially Decaying Boundary}

Let \((W_t)_{t \ge 0}\) be a standard Brownian motion with \(W_0 = 0\), and let
\(b : [0,\infty) \to \mathbb{R}_{>0}\) be the exponentially decaying boundary
\[
  b(t) = b_0 \, e^{-ct}, \qquad b_0 > 0,\ c > 0.
\]
Define the first-passage time
\[
  \tau \;=\; \inf\{\, t > 0 : W_t \ge b(t) \,\},
\]
with distribution function \(F(t) = \mathbb{P}(\tau \le t)\). We are interested in finding explicitly the distribution of \(\tau\). Beyond its theoretical interest, this problem has a direct application in computational neuroscience: neuronal spiking is often modeled as Brownian motion hitting a threshold, with the post-spike refractory period modeled as an exponentially decaying boundary, see \cite{Tamborrino2016}.

\section*{Known facts}

\begin{fact}[Existence and continuity of the density]
Since \(b(0) = b_0 > W_0\) and \(b\) is continuously differentiable on \((0,\infty)\), then according to \cite{Strassen1967, Durbin1985}, \(F\) admits a density \(f\) with respect to Lebesgue measure that is continuous on \((0,\infty)\).
\end{fact}

\section*{Open problem}

Despite the regularity theory above, no closed-form expression for \(f\) in
terms of elementary or standard special functions (Bessel, Airy, parabolic
cylinder, confluent hypergeometric, etc.) is known.

\begin{problem}
Find an explicit closed-form expression for the density
\(f(t)\), \(t > 0\), of the first-passage time
\[
  \tau = \inf\{\, t > 0 : W_t \ge b(t)\,\}
\]
of a standard Brownian motion to the exponentially decaying boundary
\(b(t) = b_0 e^{-ct}\).
\end{problem}

This stands in contrast to the handful of boundaries for which \(f\)
\emph{is} known explicitly; linear (Bachelier--L\'evy), square-root
\cite{Breiman1967}, and quadratic \cite{Salminen1988,Groeneboom1989}.

\section*{The Volterra integral equation formulation}

The natural rigorous substitute for an explicit formula is the
characterization of \(f\) as a solution of a Volterra integral equation of
the first kind, due to Peskir \cite{Peskir2002}.

\begin{fact}[Master integral equation]
Define \(H_{-1} = \phi\), the standard normal density, and
\(H_n(x) = \int_x^\infty H_{n-1}(z)\,dz\) for \(n \ge 0\). Then for every
integer \(n \ge -1\) and every \(t>0\),
\begin{equation}
  t^{n/2}\, H_n\!\left(\frac{b(t)}{\sqrt t}\right)
  \;=\;
  \int_0^t (t-s)^{n/2}\, H_n\!\left(\frac{b(t)-b(s)}{\sqrt{t-s}}\right) f(s)\, ds.
  \tag{$\ast$}
  \label{eq:master}
\end{equation}
This family holds for the exponential boundary \(b(t) = b_0 e^{-ct}\) for
every \(t > 0\), since \(b\) is continuously differentiable on all of
\((0,\infty)\) and Peskir's regularity hypotheses are satisfied for any such
boundary. (Here \(f(s)\,ds\) stands in for \(F(ds)\), valid because we have
already established that \(F\) admits a continuous density \(f\) for this
boundary; Peskir's original system holds in the more general
Lebesgue--Stieltjes form \(F(ds)\) for any continuous boundary, with no
density assumed --- see \cite{Peskir2002} for the general case.)
\end{fact}

The simplest member, \(n=-1\), with \(H_{-1}=\phi\), is the classical
\emph{generalized Abel equation} of Durbin \cite{Durbin1971}:
\begin{equation}
  \int_0^t \frac{1}{\sqrt{t-s}} \,
  \phi\!\left(\frac{b(t)-b(s)}{\sqrt{t-s}}\right) f(s)\, ds
  \;=\;
  \frac{1}{\sqrt{t}} \, \phi\!\left(\frac{b(t)}{\sqrt{t}}\right),
  \qquad \phi(x) = \frac{1}{\sqrt{2\pi}} e^{-x^2/2}.
  \label{eq:durbin}
\end{equation}

For \(b(t) = b_0 e^{-ct}\), both \eqref{eq:master} and \eqref{eq:durbin}
are fully explicit in \(b(t) - b(s) = b_0\big(e^{-ct} - e^{-cs}\big)\) --- the
only unknown remaining is \(f\) inside the integral. The open problem above
is therefore equivalent to inverting \eqref{eq:master} in closed form for
this specific kernel.

\begin{thebibliography}{99}

\bibitem{Strassen1967}
V.~Strassen,
\emph{Almost sure behaviour of sums of independent random variables and martingales},
Proc.\ 5th Berkeley Symp.\ Math.\ Statist.\ Prob.\ \textbf{3} (1967), 315--343.

\bibitem{Durbin1971}
J.~Durbin,
\emph{Boundary-crossing probabilities for the Brownian motion and Poisson processes and techniques for computing the power of the Kolmogorov--Smirnov test},
J.\ Appl.\ Probab.\ \textbf{8}(3) (1971), 431--453.

\bibitem{Durbin1985}
J.~Durbin,
\emph{The first-passage density of a continuous Gaussian process to a general boundary},
J.\ Appl.\ Probab.\ \textbf{22} (1985), 99--122.

\bibitem{Peskir2002}
G.~Peskir,
\emph{On integral equations arising in the first-passage problem for Brownian motion},
J.\ Integral Equations Appl.\ \textbf{14}(4) (2002), 397--423.

\bibitem{Breiman1967}
L.~Breiman,
\emph{First exit times from a square root boundary},
in Proc.\ Fifth Berkeley Symp.\ Math.\ Statist.\ Probab., Vol.\ II,
Part 2 (1967), 9--16.

\bibitem{Salminen1988}
P.~Salminen,
\emph{On the first hitting time and the last exit time for a Brownian motion to/from a moving boundary},
Adv.\ Appl.\ Probab.\ \textbf{20}(2) (1988), 411--426.

\bibitem{Groeneboom1989}
P.~Groeneboom,
\emph{Brownian motion with a parabolic drift and Airy functions},
Probab.\ Theory Related Fields \textbf{81} (1989), 79--109.

\bibitem{Tamborrino2016}
M.~Tamborrino,
\emph{Approximation of the first passage time density of a Wiener process to an exponentially decaying boundary by two-piecewise linear threshold},
Math.\ Biosci.\ Eng.\ \textbf{13}(3) (2016), 613--629.

\end{thebibliography}

Added June 23, 2026.