VECTOR CALCULUS: USEFUL STUFF Revision of Basic Vectors


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1 Prof. S.M. Tobias Jan 2009 VECTOR CALCULUS: USEFUL STUFF Revision of Basic Vectors A scalar is a physical quantity with magnitude only A vector is a physical quantity with magnitude and direction A unit vector has magnitude one. In Cartesian coordinates a = a e + a 2 e 2 + a 3 e 3 = (a, a 2, a 3 ) Magnitude: a = a 2 + a a 2 3 The position vector r = (x, y, z) The dot product (scalar product) is a scalar a b = a b cos θ = a b + a 2 b 2 + a 3 b 3 The cross product (vector product) a b is a vector with magnitude a b cos θ and a direction perpendicular to both a and b in a righthanded sense. a b = (a 2 b 3 a 3 b 2 )e + (a 3 b a b 3 )e 2 + (a b 2 a 2 b )e 3 The scalar triple product [a, b, c] is a scalar [a, b, c] = a b c = a b c = b c a The vector triple product is a vector a (b c) = (a c)b (a b)c
2 Vector Algebra and Suffix Notation The rules of suffix notation: () Any suffix may appear once or twice in any term in an equation (2) A suffix that appears just once is called a free suffix. The free suffices must be the same on both sides of the equation. Free suffices take the values, 2 and 3 (3) A suffix that appears twice is called a dummy suffix. Summation Convention: Dummy Suffices are summed over from to 3 The name of a dummy suffix is not important. a b = a j b j = a l b l = a p b p = a b + a 2 b 2 + a 3 b 3 (4) The Kronecker Delta: or δ ij = { if i = j, 0 if i j 0 0 δ ij = The Kronecker Delta is symmetric δ ij = δ ji and δ ij a j = a i (5) The Alternating Tensor: 0 if any of i, j or k are equal, ɛ ijk = if (i, j, k) = (, 2, 3), (2, 3, ) or (3,, 2) if (i, j, k) = (, 3, 2), (3, 2, ) or (2,, 3) The Alternating Tensor is antisymmetric: ɛ ijk = ɛ jik The Alternating Tensor is invariant under cyclic permutations of the indices: ɛ ijk = ɛ jki = ɛkij (6) The vector product: (7) The relation between δ ij and ɛ ijk : (a b) i = ɛ ijk a j b k ɛ ijk ɛ klm = δ il δ jm δ im δ jl
3 Vector Differentiation In all of the below formulae we are considering the vector F = (F, F 2, F 3 ) Basic Vector Differentiation () If F = F (t) then ( df dt = df dt, df 2 dt, df ) 3 dt (2) The unit tangent to the curve x = ψ(t) is given by dx/dt dx/dt Grad, Div and Curl (3) The gradient of a scalar field f(x, y, z) (= f(x, x 2, x 3 )) is given by ( f gradf = f = x, f y, f ) ( f =, f, f ) z x x 2 x 3 (4) f is the vector field with a direction perpendicular to the isosurfaces of f with a magnitude equal to the rate of change of f in that direction. (5) The directional derivative of f in the direction of a unit vector û is ( f) û (6) pronounced del or nabla is a vector differential operator. It is possible to study the algebra of. (7) The divergence of a vector field F is given by div F = F = F x + F 2 y + F 3 z = F x + F 2 x 2 + F 3 x 3 (8) A vector field F is solenoidal if F = 0 everywhere. (9) The curl of a vector field F is given by ( F3 curl F = F = y F ) ( 2 F e + z z F ) ( 3 F2 e 2 + x x F ) y ( F3 = F ) ( 2 F e + F ) ( 3 F2 e 2 + F ) x 2 x 3 x 3 x x x 2 e e 2 e 3 e e 2 e 3 = x y z = x x 2 x 3 F F 2 F 3 F F 2 F 3 e 3 e 3
4 (0) A vector field F is irrotational if F = 0 everywhere. () (F ) is a vector differential operator which can act on a scalar or a vector f (F ) f = F x + F f 2 y + F f 3 z (F )G = ((F ) G, (F ) G 2, (F ) G 3 ) (2) The Laplacian operator 2 = 2 x y + 2 can act on a scalar or a vector. 2 z2 Grad, Div and Curl and suffix notation In suffix notation Note: Here you cannot move the r = (x, y, z) = x i gradf = ( f) i = f x i ( ) i = x i div F = F = F j (curl F ) i = ( F ) i = ɛ ijk F k (F ) = F j around as it acts on everything that follows it. These can all be used to prove the vector differential identities.
5 Vector Identities Here are some simple vector identities that can all be proved with suffix notation. If F and G are vector fields and ϕ and ψ are scalar fields then ( ϕ) = 2 ϕ ( F ) = 0 ( ϕ) = 0 (ϕψ) = ϕ ψ + ψ ϕ (ϕf ) = ϕ F + F ϕ (ϕf ) = ϕ F + ϕ F ( F ) = ( F ) 2 F (F G) = F ( G) + G ( F ) + (F )G + (G )F (F G) = G ( F ) F ( G) (F G) = F ( G) G( F ) + (G )F (F )G
6 Vector Integral Theorems Alternative Definitions of divergence and curl () An alternative definition of divergence is given by F = lim F n ds, δv 0 δv where δv is a small volume bounded by a surface δs which has outwardpointing normal n. (2) An alternative definition of curl is given by δs n F = lim δs 0 δs δc F dr, where δs is a small open surface bounded by a curve δc which is oriented in a righthanded sense. Physical Interpretation of divergence and curl (3) The divergence of a vector field gives a measure of how much expansion and contraction there is in the field. (4) The curl of a vector field gives a measure of how much rotation or twist there is in the field. The Divergence and Stokes Theorems (5) The divergence theorem states that V F = F n ds, S where S is the closed surface enclosing the volume V and n is the outwardpointing normal from the surface. (6) Stokes theorem states that F n ds = F dr, S C where C is the closed curve enclosing the open surface S and n is the normal from the surface.
7 Conservative Vector fields, line integrals and exact differentials (7) The following 5 statements are equivalent in a simplyconnected domain: (i) F = 0 at each point in the domain. (ii) C F dr = 0 around every closed curve in the region. Q (iii) F dr is independent of the path of integration from P to Q. P (iv) F dr is an exact differential. (v) F = φ for some scalar φ which is singlevalued in the region. (8) If F = 0 then F = A for some A. (This vector potential A is not unique.)
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