|
Domain |
Details |
|
Differential |
- Derivatives or limits to infinity of variables within parameters
- Differentials or small finite changes of variables
- Representing rate of change of parameters w.r.t. to their variables
- Link between phenomenon and model characteristics
|
|
Differential equations |
- Representing model of the reality in terms of parameters & their derivatives & differentials
- Major classifications are:
- ODE: ordinary, derivatives of parameters in 1 variable only
- PDE: partial, derivatives in 2 or more variables
- Order: the highest derivative inside the DE, indept. of power
- Homogeneous: all terms are derivatives of parameters, =0 & vice versa
- Linear: each term is the parameter or its derivatives only
- Non-linear: combinations of variables, parameters & derivatives
- Solution types: explicit y=f(x) or implicit F(x,y)
- Solution forms: no solution, single unique solution (with IC & BC), family of solutions or combinations
|
|
1st order DE |
- Exact DE: F(x,y,y')=0
- Solved by integrating factor:
- Linear: e'''
- Non-linear: u=y1-n
- Variable separable: (take note of suppressed solutions =0)
- Linear: y'= f(x)/g(y)
- Non-linear: by substitution
|
|
2nd order LDE |
- Linearity: POS under addition & scalar multiplication
- Linear independence: using Wrouskian; scalars=0
- Total solution: y= scalar sum of yh of l.i. components + scalar sum of yp
- Homogeneous:
- y=emx
- y=epx+-iqx
- Reduction of order: y2=u.y1 with variable coefficients
- POS of scalar sum of yp
- Method of Undetermined Coefficients: yp
- Lagrange's variation of parameters:
- let y=sum of v.yh
- sum of v'.y=0
- sum of v'.y'=f(x)
|
|
Higher order LDE |
- Use of fundamental solution techniques of 1st & 2nd order LDE
- POS of solutions: x = xh + sum(xpi)
- n-order DE produces n-parameter family of solutions: G(x,y,C1, …,Cn)=0
|
|
Nonlinear ODE |
- Mixtures of derivatives & y in any one term
- Fractions of derivatives & y in any one term
- Implicit solution, G(x,y)
- Variable separable
- Reduction of order: let u=y1-n & subst. => changing the dependent variables
- M(x,y) & N(x,y) same degree: let y=u.x or x=v.y
- Log matching: Guoke(490KB), formulate into log/ln asymptotic equations, evaluate parameter b & express the log matching function
|
|
PDE |
- Forms: derivatives & terms of multiple dependent variables in multiple independent variables
- Trials solutions: (note convergence, stability, boundedness)
- Laplace transforms: shifts to algebraic equations for solution before shifting back
- Fourier transforms
- Z transforms
|