Adjoint equation

An adjoint equation is a linear differential equation, usually derived from its primal equation using integration by parts. Gradient values with respect to a particular quantity of interest can be efficiently calculated by solving the adjoint equation. Methods based on solution of adjoint equations are used in wing shape optimization, fluid flow control and uncertainty quantification. For example $dX_{t}=a(X_{t})dt+b(X_{t})dW$ this is an Itō stochastic differential equation. Now by using Euler scheme, we integrate the parts of this equation and get another equation, $X_{{n+1}}=X_{n}+a\Delta t+\zeta b{\sqrt {\Delta t}}$ , here $\zeta$ is a random variable, later one is an adjoint equation.

Example: Advection-Diffusion PDE

Consider the following linear, scalar advection-diffusion equation for the primal solution $u({\vec {x}})$ , in the domain $\Omega$ with Dirichlet boundary conditions:

{\begin{aligned}\nabla \cdot \left({\vec {c}}u-\mu \nabla u\right)&=f,\qquad {\vec {x}}\in \Omega ,\\u&=b,\qquad {\vec {x}}\in \partial \Omega .\end{aligned}}

Let the output of interest be the following linear functional:

J(u)=\int _{\Omega }gu\ dV

Derive the weak form by multiplying the primal equation with a weighting function $w({\vec {x}})$ and performing integration by parts:

{\begin{aligned}B(u,w)&=L(w),\end{aligned}}

where,

{\begin{aligned}B(u,w)&=\int _{\Omega }w\nabla \cdot \left({\vec {c}}u-\mu \nabla u\right)dV\\&=\int _{\partial \Omega }w\left({\vec {c}}u-\mu \nabla u\right)\cdot {\vec {n}}dA-\int _{\Omega }\nabla w\cdot \left({\vec {c}}u-\mu \nabla u\right)dV,\qquad {\text{(Integration by parts)}}\\L(w)&=\int _{\Omega }wf\ dV\end{aligned}}

Then, consider an infinitesimal perturbation to $L(w)$ which produces an infinitesimal change in $u$ as follows:

{\begin{aligned}B(u+u',w)&=L(w)+L'(w)\\B(u',w)&=L'(w).\end{aligned}}

Note that the solution perturbation $u'$ must vanish at the boundary, since the Dirichlet boundary condition does not admit variations on $\partial \Omega$ .

Using the weak form above and the definition of the adjoint $\psi ({\vec {x}})$ given below:

{\begin{aligned}L'(\psi )&=J(u')\\B(u',\psi )&=J(u'),\end{aligned}}

we obtain:

{\begin{aligned}\int _{\partial \Omega }\psi \left({\vec {c}}u'-\mu \nabla u'\right)\cdot {\vec {n}}dA-\int _{\Omega }\nabla \psi \cdot \left({\vec {c}}u'-\mu \nabla u'\right)dV&=\int _{\Omega }gu'\ dV\end{aligned}}

Next, transform derivatives of $u'$ into derivatives of $\psi$ :

{\begin{aligned}\int _{\partial \Omega }\psi \left({\vec {c}}u'-\mu \nabla u'\right)\cdot {\vec {n}}dA-\int _{\Omega }\nabla \psi \cdot \left({\vec {c}}u'-\mu \nabla u'\right)dV-\int _{\Omega }gu'\ dV&=0\\\int _{\partial \Omega }\psi \left({\vec {c}}u'-\mu \nabla u'\right)\cdot {\vec {n}}dA+\int _{\Omega }u'\left(-{\vec {c}}\cdot \nabla \psi \right)dV+\int _{\Omega }\nabla u'\cdot \left(\mu \nabla \psi \right)dV-\int _{\Omega }gu'\ dV&=0\\\int _{\partial \Omega }\psi \left({\vec {c}}u'-\mu \nabla u'\right)\cdot {\vec {n}}dA+\int _{\Omega }u'\nabla \cdot \left(-{\vec {c}}\psi \right)dV+\int _{\partial \Omega }u'\left(\mu \nabla \psi \right)\cdot {\vec {n}}dA-\int _{\Omega }u'\nabla \cdot \left(\mu \nabla \psi \right)dV-\int _{\Omega }gu'\ dV&=0\qquad {\text{(Repeating integration by parts on diffusion volume term and assuming }}\nabla \cdot {\vec {c}}=0{\text{)}}\\\int _{\Omega }u'\left[\nabla \cdot \left(-{\vec {c}}\psi -\mu \nabla \psi \right)-g\right]dV+\int _{\partial \Omega }\psi \left({\vec {c}}u'-\mu \nabla u'\right)\cdot {\vec {n}}dA+\int _{\partial \Omega }u'\left(\mu \nabla \psi \right)\cdot {\vec {n}}dA&=0\end{aligned}}

The adjoint PDE and its boundary conditions can be deduced from the last equation above. Since $u'$ is generally non-zero within the domain $\Omega$ , it is required that $\left[\nabla \cdot \left(-{\vec {c}}\psi -\mu \nabla \psi \right)-g\right]$ be zero in $\Omega$ , in order for the volume term to vanish. Similarly, since the primal flux $\left({\vec {c}}u'-\mu \nabla u'\right)\cdot {\vec {n}}$ is generally non-zero at the boundary, we require $\psi$ to be zero there in order for the first boundary term to vanish. The second boundary term vanishes trivially since the primal boundary condition requires $u'=0$ at the boundary.

Therefore, the adjoint problem is given by:

{\begin{aligned}\nabla \cdot \left(-{\vec {c}}\psi -\mu \nabla \psi \right)&=g,\qquad {\vec {x}}\in \Omega ,\\\psi &=0,\qquad {\vec {x}}\in \partial \Omega .\end{aligned}}

Note that the advection term reverses sign in the adjoint equation, whereas the diffusion term remains self-adjoint.

References

Jameson, Antony (1988). "Aerodynamic Design via Control Theory". Journal of Scientific Computing. 3 (3).

This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.

Adjoint equation

Example: Advection-Diffusion PDE

See also

References