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39 Cards in this Set

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Fourier coefficients a_n & b_n

a_n = 2/L ∫ cos (2πx/L) u(x) dx


b_n = 2/L ∫ sin (2πx/L) u(x) dx



integral from -L/2 to L/2

û(x) = ?

û(x) = a_0/2 + ∑(n=1 to ∞) [a_n cos(2πx/L) + b_n sin(2πx/L)]

Fourier transform of u(x)

F(w) = ∫ e^-iwx u(x) dx



integral from -∞ to ∞

Inverse Fourier transform of u(x)

u~(x) = 1/2π ∫ e^-iwx F(w) dx



integral from -∞ to ∞

Fourier inversion theorem

u~(x) = ∫ ∫ e^iw(x-y) u(y) dydx



double integral, both from -∞ to ∞

First Shift Theorem

f(x) --> F(w)


g(x) = e^iαx f(x) --> G(w)



Then G(w) = F(w-α)

g(x) has α>0

Second Shift Theorem

f(x) --> F(w)


g(x) = f(x-α) --> G(w)



Then G(w) = e^-iαx F(w)

both α <0

Derivative Theorem (1st order)

u(x) --> F(u)(w) and |u(x)|->0 as |x|->∞



Then u'(x) --> F(u')(w) = iw F(u)(w)

Derivative Corollary (2nd order)

F(u'')(w) = -w² F(u)(w)

For u(x) = e^-α|x|, what is F(w)?

F(w) = 2α / (α² + w²)

dirac delta function

If u(x) = 1, what is F(w)?

F(w) = 2π δ(w)

convolution formula

h = f * g = ∫ f(y)g(x-y)dy



integral from -∞ to ∞


need to check all cases!

Convolution Theorem

f(x) --> F(w)


g(x) --> G(w)


Then H(w) = F(w)G(w)


and h(x) = f * g

FT of 1st order equations

au' + bu = h(x)



aiwF + bF = H



F(w) = H(w) / (b + iaw)

FT of 2nd order equations

au'' + bu' + cu' = h(x)



-w²aF + iwbF + cF = H



F(w) = H(w) / (-aw² + iwb + c)

If G(w) = 1 / (b + iaw), what is g(x)?

g(x) = 1/a e^-bx/a, x>0


= 0, x<0


= 1/2a, x=0

square integral of u(x)

‖u‖₂² = ∫|u(x)|²dx



‖F‖₂² = ∫|F(w)|²dw



integral from -∞ to ∞

like the 2-norm...

Plancheval's Theorem

‖u‖₂² < ∞ ↔ ‖F‖₂² <∞


and ‖u‖₂² = 1/2π ‖F‖₂²

Steps for solving linear PDEs

1. Take PDE for function h(x,y) with -∞


2. Take FT wrt x: u(x,y) --> F(w,y)


3. All derivatives wrt x become multiples of wⁿF. F(w,y) then satisfies an ODE in y.


4. Solve the ODE applying initial/boundary conditions.


5. Transform back to give u(x,y) (often as a convolution)


generalised Sturm-Louisville equation

(p(x)u')' -q(x)u + λr(u) = 0 & BCs

Sturm-Louisville operator

Lu ≡ (pu')' - qu

Dirichlet boundary conditions

u(a) = u(b) = 0

Neumann boundary conditions

u'(a) = u'(b) = 0

eigenvalue - eigenfunction pair

(λ,θ(x)) s.t. Lθ + λrθ = 0


and θ satisfies αu(a) + βu'(a) = 0 and γu(b) + µu'(b) = 0

weighted inner product

_r = ∫ vur dx = _r



integral from a to b


r(x) >0, u(x), v(x) functions defined on I = (a,b)

showing orthogonality wrt inner product

for u and v if _r = 0

Orthogonality Theorem

L a SL operator with weight r and (λn,θn) satisfies Lθn + λnθn = 0. Then λn∈R ∀n and <θn,θm>_r = 0 for n ≠ m

Green's Identity

u,v functions defined over I and L a SL-operator


Then ∫(v.Lu - u.Lv)dx = [p(vu'-uv')]


integral from a to b

Lagrange's Corollary

vLu - uLv = (p(vu' - uv')

square norm of a function θ

‖θ‖²_r = ∫|θ|²_r dx



integral from a to b

orthonormal set

a set Θ={θ_n(x)} is orthonormal if Θ is orthogonal and ‖θ_n‖_r = 1 ∀n

error, E_N

the error of the approximation of a function is E_N = ‖f - f_N‖²_r

When is E_N minimised?


What is the minimum value?

∀α_n ∈R when α_n = _r



E_N = _r - ∑²_r


sum from n=0 to N

generalised Fourier coefficient

α_n = _r

Bessel's inequality

∑²_r ≤ _r


sum from n=0 to N

complete orthonormal set

an orthonormal set Θ is complete if E_N = →0 as N→∞ for all functions f where ‖f‖_r<∞

Parseval's Theorem

If Θ is complete then ∑<θ_n,f>²_r = ²_r

inhomogeneous Sturm-Louisville equation

takes the form


Lu + λu r(x) = f(x) plus BCs

Fredholm Alternative

If Lu + λur = f, then


(i) if λ≠λ_n, this has a unique solution given by


u(x) = ∑[( ∫ f(x)θ_n(x) dx) / (λ - λ_n)] θ_n(x)


sum from n=0 to ∞, integral from a to b


(ii) if ∃n s.t. λ=λ_n, a necessary condition fo a solution is ∫ f(x)θ_n(x) dx = 0 so that the solution is


u(x) = ∑[( ∫ f(x)θ_m(x) dx) / (λ - λ_m)] θ_m(x) + γθ_n(x) for arbitrary γ


sum for m≠n, integral from a to b