Differential Expressions

Phenomenal formulation for governing equations involving derivatives of parameters


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:
  1. ODE: ordinary, derivatives of parameters in 1 variable only
  2. PDE: partial, derivatives in 2 or more variables
  3. Order: the highest derivative inside the DE, indept. of power
  4. Homogeneous: all terms are derivatives of parameters, =0 & vice versa
  5. Linear: each term is the parameter or its derivatives only
  6. Non-linear: combinations of variables, parameters & derivatives
  7. Solution types: explicit y=f(x) or implicit F(x,y)
  8. 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:
  1. Linear: e'''
  2. Non-linear: u=y1-n
  • Variable separable: (take note of suppressed solutions =0)
  1. Linear: y'= f(x)/g(y)
  2. Non-linear: by substitution
  • Solve by y=emx

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:
  1. y=emx
  2. y=epx+-iqx
  3. Reduction of order: y2=u.y1 with variable coefficients
  • Non-homogeneous: f(x)
  1. POS of scalar sum of yp
  2. Method of Undetermined Coefficients: yp
  3. 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

  • Non-linear forms:
  1. Mixtures of derivatives & y in any one term
  2. Fractions of derivatives & y in any one term
  • Trial solution forms:
  1. Implicit solution, G(x,y)
  2. Variable separable
  3. Reduction of order: let u=y1-n & subst. => changing the dependent variables
  4. M(x,y) & N(x,y) same degree: let y=u.x or x=v.y
  5. 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)
  1. Laplace transforms: shifts to algebraic equations for solution before shifting back
  2. Fourier transforms
  3. Z transforms

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