The continuity equation: Difference between revisions
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As it is always in the optimal transport, we want to move one pile of dirt to another one. So, we have to impose initial and terminal conditions, for example <math> \mu_{0} = \mu </math>, and <math> \mu_{1} = \nu. </math> Then, our equation becomes | As it is always in the optimal transport, we want to move one pile of dirt to another one. So, we have to impose initial and terminal conditions, for example <math> \mu_{0} = \mu </math>, and <math> \mu_{1} = \nu. </math> Then, our equation becomes | ||
<math> \int_{0}^{T}\int_{\Omega} (\partial_{t}\phi) d\mu_{t} dt + \int_{0}^{T}\int_{\Omega} \nabla\phi\cdot v_{t} d\mu_{t} dt = \int_{\Omega}\phi(T,x)d\nu(x) - \int_{\Omega}\phi(0,x)d\mu(x),</math> | <math> \int_{0}^{T}\int_{\Omega} (\partial_{t}\phi) d\mu_{t} dt + \int_{0}^{T}\int_{\Omega} \nabla\phi\cdot v_{t} d\mu_{t} dt = \int_{\Omega}\phi(T,x)d\nu(x) - \int_{\Omega}\phi(0,x)d\mu(x),</math> | ||
for all <math> \phi \in C_{c}^{1}([0,T]X\Omega) </math> | for all <math> \phi \in C_{c}^{1}([0,T]X\Omega). </math> | ||
Another way to interpret solutions to the continuity equation is to assume that function <math> t \rightarrow \int_{\Omega} \psi d\mu_{t}</math> is absolutely continuous, and for a.e. <math>t</math> it holds: | |||
<math> \partial_{t} \int_{\Omega} \psi d\mu_{t} = \int_{\Omega} \nabla\phi \cdot v_{t}. </math> | |||
This kind of solution is called a weak solution. | |||
Proposition 4.2., on the page 124. in the book by Santambrogio<ref name="Santambrogio" /> states that these solutions are basically the same. | |||
== Applications == | == Applications == |
Revision as of 07:42, 12 February 2022
Introduction
The continuity equation is an important equation in many science fields, for example, electromagnetism, computer vision, fluid dynamics etc. However, in the field of optimal transport, the formulation from fluid dynamics is of a large significance. This form helps to explain dynamics formulation of special cases of Wasserstein metric, and we will focus in this direction. For more general information about the continuity equation, look at the article Continuity equation.
Continuity equation in fluid dynamics
First, because of the intuition, we will introduce definition of the continuity equation in fluid mechanics. The exposition in this section will follow the book by Chorin and Marsden[1].
Suppose that mass of our fluid is conserved, through time. Denote as a density function and as a particle velocity. Then, for any subspace of we have:
In this section, we assume both density function and particle velocity are smooth enough. Hence, after differentiating under the integral and applying the Divergence Theorem, we get:
Finally, we conclude that:
which implies, since is arbitrary, that:
The last equation is the continuity equation in fluid dynamics, written in the differential form. Equation of this form we use in the optimal transport.
Continuity equation in optimal transport
Reason why we can not apply the previous equation immediately in the optimal transport theory is a regularity of measures we work with. By abuse of notation, , a function does not have to be smooth. So, we need to find a proper space for our measures.
Sometimes in the literature, authors use continuity equation, and transport equation as synonyms. On the other hand, in the optimal transport we differentiate these two and the standard Cauchy problem. Here, we will present definitions and reasoning from book by F.Santambrogio[2].
From this point, we are looking at the following equation: .
All the measures we are interested in satisfy , and solve continuity equation in a distributional sense, namely
for all , where is a compact set or the whole space , and . We assume no-flux condition in this case, namely on the boundary
As it is always in the optimal transport, we want to move one pile of dirt to another one. So, we have to impose initial and terminal conditions, for example , and Then, our equation becomes
for all
Another way to interpret solutions to the continuity equation is to assume that function is absolutely continuous, and for a.e. it holds:
This kind of solution is called a weak solution.
Proposition 4.2., on the page 124. in the book by Santambrogio[2] states that these solutions are basically the same.
Applications
The following theorem can be found at the book by L.Ambrosio, E.Brué, and D.Semola[3].
- Theorem (Benamou-Brenier Formula).[2] Let . Then
This formula is important for defining Riemannian structure. You can see more at Formal Riemannian Structure of the Wasserstein metric.
In addition, using the continuity equation we can describe geodesics in the Wasserstein space. For more details look at Geodesics and generalized geodesics.