Related Experiment Video
Updated: May 30, 2026

09:04
Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
Published on: February 23, 2018
Exact solution for the Kardar-Parisi-Zhang equation with flat initial conditions
Pasquale Calabrese1, Pierre Le Doussal
1Dipartimento di Fisica dell'Università di Pisa and INFN, 56127 Pisa, Italy.
Physical Review Letters
|July 21, 2011
Summary
This study presents the first exact calculation for the Kardar-Parisi-Zhang (KPZ) equation
Area of Science:
- Statistical Physics
- Nonlinear Dynamics
- Stochastic Processes
Background:
- The Kardar-Parisi-Zhang (KPZ) equation models surface growth phenomena.
- Understanding its statistical properties, particularly height distribution, is crucial.
- Exact solutions for the continuum KPZ equation are challenging to obtain.
Purpose of the Study:
- To provide the first exact calculation of the height distribution for the 1D continuum KPZ equation.
- To analyze the behavior of the height distribution at arbitrary time t.
- To investigate the long-time limit of the height distribution.
Main Methods:
- Mapping the KPZ equation to a directed polymer model with specific boundary conditions.
- Utilizing the Bethe ansatz for the replicated attractive boson model.
- Deriving the generating function of moments as a Fredholm Pfaffian.
Main Results:
- An exact formula for the height distribution at any time t is derived.
- The formula is valid for all times, including the long-time limit.
- The free energy (KPZ height) distribution converges to the Tracy-Widom distribution (Gaussian orthogonal ensemble) at large times.
Conclusions:
- The study provides a significant analytical breakthrough for the 1D KPZ equation.
- The results confirm the convergence to a universal distribution in the large-time limit.
- This work offers a precise tool for studying statistical properties of surface growth.
Related Concept Videos
Kinematic Equations - III
The first two kinematic equations have time as a variable, but the third kinematic equation is independent of time. This equation expresses final velocity as a function of the acceleration and distance over which it acts. The fourth kinematic equation does not have an acceleration term and provides the final position of the object at time t in terms of the initial and final velocities. This equation is useful when the value of the constant acceleration is unknown.
Using the kinematic equations,...
Using the kinematic equations,...
Kinematic Equations - II
The second kinematic equation expresses the final position of an object in terms of its initial position, the distance traveled with the initial constant velocity, and the distance traveled due to a change in velocity. Similar to the first kinematic equation, this equation is also only valid when the acceleration is constant throughout the motion of an object.
Suppose a car merges into freeway traffic on a 200 m long ramp. If its initial velocity is 10 m/s and it accelerates at 2 m/s2, then the...
Suppose a car merges into freeway traffic on a 200 m long ramp. If its initial velocity is 10 m/s and it accelerates at 2 m/s2, then the...
Difference Equation Solution using z-Transform
The z-transform is a powerful tool for analyzing practical discrete-time systems, often represented by linear difference equations. Solving a higher-order difference equation requires knowledge of the input signal and the initial conditions up to one term less than the order of the equation.
The z-transform facilitates handling delayed signals by shifting the signal in the z-domain, which corresponds to delaying the signal in the time domain, and advancing signals by similarly shifting in the...
The z-transform facilitates handling delayed signals by shifting the signal in the z-domain, which corresponds to delaying the signal in the time domain, and advancing signals by similarly shifting in the...
Linear Differential Equations
The integrating factor method provides a systematic way to solve first-order linear differential equations, especially those that cannot be handled by separation of variables. This method is particularly useful in modeling time-dependent physical systems influenced by both constant inputs and resistive forces. A common example is the motion of a car subjected to a constant engine force while experiencing air resistance proportional to its velocity.In such scenarios, Newton’s second law yields a...
Kinematic Equations - I
When an object moves with constant acceleration, the velocity of the object changes at a constant rate throughout the motion. The kinematic equations of motions are derived for such cases where the acceleration of the object is constant. The first kinematic equation gives an insight into the relationship between velocity, acceleration, and time. We can see, for example:
Separable Differential Equations
A separable differential equation is a type of first-order differential equation where the derivative dy/dx can be expressed as a product of two functions: one that depends only on x and another that depends only on y. This allows for the rearrangement of the equation so that all terms involving y are on one side, and all terms involving x are on the other. This process, known as the separation of variables, simplifies the process of solving the equation by enabling the integration of both...

