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Linear Equations of order n
yn(x) + p1(x)y(n−1)(x) + · · · + pn(x)y(x) = g(x)
Existence and Uniqueness Theorem
If the coefficients are continuous on (a, b) and
x0 ∈ (a, b), there is a unique solution y(x) on (a, b) satisfying y(x0) = y0, y′(x0) = y′0, ... , y(n−1)(x0) = y(n−1)0 , for any given initial values y0, y′0, ... , y(n−1)0
Linear Differential Operator
Dn + p1(x)Dn−1 + · · · + pn(x). So the DE is L[y(x)] = g(x).
Linearity Property
L[c1y1(x) + c2y2(x)] = c1L[y1(x)] + c2L[y2(x)]
Fundamental Set
For homogenous linear DE of order n, there are a set of linearly independent solutions. The general solution of the homogeneous DE L[y] = 0 is yh = c1y1 + · · · + cnyn for any constants cj
Particular Solution
L[y]=g, gen sol is y=yp+yh
Constant Coefficient Linear DE
L[y] = 0 with L = Dn + p1Dn−1 + · · · + pn
for constants pj
Auxiliary Equation
rn + p1rn−1 + · · · + pn = 0
Real root with multiplicity of k
erx(c1 + c2x + · · · + ckxk−1)
Complex root with multiplicity of k
Higher-Order Cauchy Euler DE
Auxiliary Equation for Cauchy-Euler (try y=xr)
Real Roots Sol for Cauchy-Euler
Real root sol with multiplicity of k for Cauchy-Euler
Complex root sol with multiplicity of k for Cauchy-Euler
Annihilator
Set of all functions for a homogeneous solution
Annihilator Method
factor L into powers of (D-r)k and [(D-a)2+B2]k. Add corresponding annihilators to get yh
Laplace Transformation
Converges for s>a,
Derivative Property
Laplace Transformation Method
When to use partial fraction decomposition
During the laplace transformation method
Partial Fractions Decomposition
When to use Heaviside Step Functions
When handling continuous piecewise functions
Periodic Functions
Convolution Theorem
No product rule used!!!
Dirac Delta Function
S(t-a)
Property of a dirac delta function in a impulse function
Impulse Function Purpose
model impulse force delivered at t=a
Impulse Function Laplace Transformation