NST IA Maths: Scalar & Vector Fields and their Integrals

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jackw19  on May 9, 2011

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nst ia maths

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NST IA Maths: Scalar & Vector Fields and their Integrals

Position Vector x
(x,y,z)
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Definitions

Position Vector x(x,y,z)
grad Φ = ∇Φ(∂Φ/∂x, ∂Φ/∂y, ∂Φ/∂z)
Unit normal to a surface ∇Φ / |∇Φ|
Line integral of a scalar field ∫r Φ ds = ∫[t1,t2] Φ(x(s)) |dx/dt| dt
Line integral of a vector field ∫r F.dx = ∫[t1,t2] F(x(t)).dx/dt dt
Line integral of the gradient of a scalar field ∫r (∇Φ).dx , does not depend on the path taken between endpoints
Conservative Vector Field F = -∇Φ
F.dx is an exact differential
for every pair of points the line integral ∫r F.dx is independent of the path taken
line integral for all closed curves ∫r F.dx = 0
curl F = ∇ x F = 0
Vector Area S ∫s dS = ∫s ndS
Spherical Scalar Area Element dS = a²sinθdθdΦ
Unit Normal to Surface S n = x/|x| = (sinθcosΦ, sinθsinΦ, cosθ)
Parametrisation of a curved surface x = X(θ,Φ) = (asinθcosΦ, asinθsinΦ, acosθ)
dS = (∂X/∂θ X ∂X/∂Φ) dθdΦ
Flux ∫s F.dS = ∫s F.ndS
Spherical Vector Surface Element dS = ndS = (sinθcosΦ, sinθsinΦ, cosθ)a²sinθdθdΦ
Divergence, div F ∇.F
Divergence Theorem (Gauss Theorem) ∫v (∇.F) dV = ∫s F.dS where V is a volume bounded by the closed surface S
Laplacian of Φ div(grad Φ) = ∇²Φ = ∂²Φ/∂x² + ∂²Φ/∂y² + ∂²Φ/∂z²
Curl F ∇ x F
Stokes' Theorem ∫s (∇ x F).dS = ∫c F.dx where S is an open surface bounded by the closed curve C

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