Boundary (and other) layers and how to approximate them Christos Xenophontos Department of Mathematics & Statistics University of Cyprus
Outline 2
Outline When is a differential equation (D.E.) singularly perturbed? 2
Outline When is a differential equation (D.E.) singularly perturbed? Examples 2
Outline When is a differential equation (D.E.) singularly perturbed? Examples Properties of the solution to such problems 2
Outline When is a differential equation (D.E.) singularly perturbed? Examples Properties of the solution to such problems Numerical methods for the approximation of these solutions 2
Classical Example: 2 ( ) ( ) 1, ( 1,1) u x u x x I ( 1) (1) 0 u u Here 0 < ε ≤ 1, multiplies the highest derivative in the D.E. and is a given parameter that can approach 0. 3
Classical Example: 2 ( ) ( ) 1, ( 1,1) u x u x x I ( 1) (1) 0 u u Here 0 < ε ≤ 1, multiplies the highest derivative in the D.E. and is a given parameter that can approach 0. Note that as ε 0, the solution u 1, but what happens with the boundary conditions? 3
Solution for various values of 1 =1/4 0.9 0.8 0.7 =1/2 0.6 u(x) 0.5 =3/4 0.4 =1 0.3 0.2 0.1 0 -1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1 x 4
In the general one-dimensional case 2 ( ) ( ) ( ) ( ), ( , ) u x b x u x f x x I ( ) ( ) 0 u u with b > 0, f given functions, the solution u f / b when ε 0, and if ( f / b )| I ≠ 0, then u will contain boundary layers 1 . 5
In the general one-dimensional case 2 ( ) ( ) ( ) ( ), ( , ) u x b x u x f x x I ( ) ( ) 0 u u with b > 0, f given functions, the solution u f / b when ε 0, and if ( f / b )| I ≠ 0, then u will contain boundary layers 1 . 1 Ludwig Prandtl, On the motion of a fluid with very small viscosity , Third World Congress of Mathematicians, August 1903. 5
6
7
Note: The following D.E. is not singularly pertubed 2 1 ( ) ( ) 1, ( 1,1) u x u x x I ( 1) (1) 0 u u 8
Two-dimensional example 2 2 u u 2 2 ( , ) ( , ) ( , ), (0,1) b x y u x y f x y x 2 2 x y 0 u Source: Niall Madden (NUI Galway) 9
One more two-dimensional example 2 D a S t Source: Niall Madden (NUI Galway) 10
Source: Niall Madden (NUI Galway) 11
Example with boundary and interface layers 2 ( ) ( ) ( ) ( ) in ( 1,0), ( ) ( ) ( ) 0 in (0,1), u x u x f x u x u x 2 ( 1) (1) 0, (0) (0) 0, ( ) (0) ( ) (0) 0 u u u u u u Exact solution for f(x) = 1 and = 0.1 Exact solution for f(x) = 1 and = 0.05 1 1 0.9 0.9 0.8 0.8 0.7 0.7 0.6 0.6 u exact u exact 0.5 0.5 0.4 0.4 0.3 0.3 0.2 0.2 0.1 0.1 0 0 -1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1 -1 -0.8 -0.6 -0.4 -0.2 0 0.2 0.4 0.6 0.8 1 x x 12
Two-dimensional example with boundary and interface layers 2 in , u u f in , u u f 0 on \ , u 0 on \ u 0 on , u u u u 2 on , h 13
What can mathematics tell us? 14
What can mathematics tell us? The solution to such problems may be decomposed as u u u S BL boundary layer smooth 14
What can mathematics tell us? The solution to such problems may be decomposed as u u u S BL boundary layer smooth 14
What can mathematics tell us? The solution to such problems may be decomposed as u u u S BL boundary layer smooth = 14
What can mathematics tell us? The solution to such problems may be decomposed as u u u S BL boundary layer smooth = 14
What can mathematics tell us? The solution to such problems may be decomposed as u u u S BL boundary layer smooth – = Source: Niall Madden (NUI Galway) 14
Bounds of the form ( ) ( ) / (1 )/ m q m m m x x , ( ) u C u x C e e S BL may be proven. 15
Bounds of the form ( ) ( ) / (1 )/ m q m m m x x , ( ) u C u x C e e S BL may be proven. How? 15
Bounds of the form ( ) ( ) / (1 )/ m q m m m x x , ( ) u C u x C e e S BL may be proven. How? We express u as j u u j 0 j with u j unknown (for the moment) functions and we substitute in the D.E. 15
For example, for the boundary value problem 2 : ( ) ( ) ( ) ( ), ( 1,1) L u u x b x u x f x x I ( 1) ( ) 1 0 u u we have 16
For example, for the boundary value problem 2 : ( ) ( ) ( ) ( ), ( 1,1) L u u x b x u x f x x I ( 1) ( ) 1 0 u u we have 2 j j ( ) ( ) ( ) ( ) u x b x u x f x x I j j 0 0 j j 16
For example, for the boundary value problem 2 : ( ) ( ) ( ) ( ), ( 1,1) L u u x b x u x f x x I ( 1) ( ) 1 0 u u we have 2 j j ( ) ( ) ( ) ( ) u x b x u x f x x I j j 0 0 j j We equate like powers of ε on both sides of the above equation. 16
2 0 3 4 2 0 ... u bu u bu u bu f 0 0 1 1 2 2 17
2 0 3 4 2 0 ... u bu u bu u bu f 0 0 1 1 2 2 f u k , , 0,2,4..., 0, 1,3,5,... u u k u k 0 2 k k b b 17
2 0 3 4 2 0 ... u bu u bu u bu f 0 0 1 1 2 2 f u k , , 0,2,4..., 0, 1,3,5,... u u k u k 0 2 k k b b Thus we define the smooth part of the solution as M 2 M j ( ) u x u 2 S j 0 j 17
2 0 3 4 2 0 ... u bu u bu u bu f 0 0 1 1 2 2 f u k , , 0,2,4..., 0, 1,3,5,... u u k u k 0 2 k k b b Thus we define the smooth part of the solution as M 2 M j ( ) u x u 2 S j 0 j and (after some calculations) we find 2 2 M M ( ) ( ) ( ) L u x u x u x 2 S M 17
This shows that M as 0 u u S but M 1 0. u S 18
This shows that M as 0 u u S but M 1 0. u S To correct this we define the boundary layers u through the equations BL 0, L u x I 0, L u x I BL BL ( 1) 0 M u ( 1) ( 1) u u BL BL S M (1) (1) u u (1) 0 u BL S BL 18
and we observe that 2 2 M M L u u u u 2 S BL M as well as ( 1) M 0 u u u S BL BL 19
and we observe that 2 2 M M L u u u u 2 S BL M as well as ( 1) M 0 u u u S BL BL Finally we define the remainder r M by 2 2 M , ( 1,1) L r u x I M ( 1) 0 r M and we have the decomposition 19
Recommend
More recommend