10) Divergence And Curl Of Vector Fields Flashcards

1
Q

Divergence of vector fields and ROTATION of vector fields

A

DIVERGENCE:
Vectors are normal to curves and outwards gives potisitve circulation

Convergent field if inwards
ROTATION:
Has axis of rotation
Taking closed curves we can see properties 0 normal component.

A field can show both divergence and rotation

Line integrals showcase this circulation…

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2
Q

Line integrals showcase circulation and rotation

A

A= area enclosed by C.

Where ^T_ denotes the unit tangent to the field and ^n_ the outward normal vector.

I_1= (1/A) integralO(vector(v) • ^n_.ds)
Over c

I_2= (1/A) integralO(vector(v)• ^T_.ds)
Over c

  • A divergent vector field: has I_1 larger than 0, I_2=0
  • a field showing rotation only: has I_1=0 and I_2 larger than 0

Assuming traversed countercloxkwise.

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3
Q

To get a local measure of the divergence and rotation of a field at point P

A

We can take the limit of the integrals defined I_1 and I_2 as the enclosed area A tends to 0. Where the curve C is shrunk so that it always enclosed P.

These provide measures of local divergence and rotation of vector field.

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4
Q

div of a vector field v= (v_1, v_2, v_3)

A

If the components v_i for i=1,2,.. of a vector field v= (v_1, v_2, v_3) are CONTINUOUSLY DIFFERENTIABLE FUNCTIONS OF THE CARTESIAN COORDINATES x,y and z. Then the DIVERGENCE of a vector field is a SCALAR FIELD

div( vector(v)) = ∂v_1/∂x + ∂v_2/∂y+ ∂v_3/∂z

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5
Q

Curl of a vector field v= (v_1, v_2, v_3)

A

If the components v_i for i=1,2,.. of a vector field v= (v_1, v_2, v_3) are CONTINUOUSLY DIFFERENTIABLE FUNCTIONS OF THE CARTESIAN COORDINATES x,y and z. Then the CURL of a vector field is a VECTOR FIELD

Curl(vector(v)) = (∂v_3/∂y - ∂v_2/∂z, ∂v_1/∂z - ∂v_3/∂x, ∂v_2/∂x - ∂v_1/∂y)
= ( ∂v_3/∂y - ∂v_2/∂z) i_ +
( ∂v_1/∂y - ∂v_3/∂z) j_ +
( ∂v_2/∂y - ∂v_1/∂z) k_
where I,j,k unit vectors in the x,y,z directions.

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6
Q

From the linearity of differentiation curl and div..

A

Are also linear:
For any vectors v, v’ in R^3 and t,t’ in R.

div( tv + t’v’) = t div(v) + t’div(v’)

Curl( tv + t’v’) = t curl(v) + t’curl(v’)

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7
Q

If a potential function exists for a vector field then curl:

If v is a conservative field

A

If a CONTINUOUS DIFFERENTIABLE vector field vector(v) can be written as the gradient of a scalar field i.e. Has a potential function then

ASSUMING SECOND DERIVATIVES ARE CONTINUOUS
Since vector(v)= grad φ = (φ_x, φ_y, φ_z)

Curl (v)= curl(grad φ) = ( MIXED SECOND PARTIAL DERIVATIVES OF φ )
= ( ∂^(2)φ/∂y∂z - ∂^(2)φ/∂z∂y, ..,..) = vecotr(0)

Due to equality of second derivatives

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8
Q

Irrotational

A

A vector field that has curl v = vector 0 in some region R of R^3 id called IRROTATIONAL on R. Hence if vector v is an irrotational vector field on a singly connected region R in R^3 then there exists a scalar field φ such that vector v=grad φ on R.

φ is called a scalar potential for the field vector(v) and is unique apart from an arbitrary additive constant.

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9
Q

If a vector field v has continuous second derivatives

A

Then div(curl(vector(v))) = 0.

Due to the equality of second derivatives.

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10
Q

Solenoidal on R

A

A vector field vector(v) for which div(vector(v)) =0 in some region R in R^3 is called solenoidal on R. It can be shown that if vector(v) is a solenoidal vector field on R then there exists a vector field A such that vector(v) = curl A on R

A is called a vector potential for vector(v)

If A is a vector potential for vector v then so Is A + grad( φ) for any scalar field φ

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11
Q

The del operator

A

Expresses grad div and curl.

∇ ≡ i_ ∂/∂x + j_ ∂/∂y + k_ ∂/∂z

≡ ( ∂/∂x, ∂/∂y, ∂/∂z )
Where each is an operator acting on a function.

For a scalar field φ and vector field v:
grad φ = ∇ φ
div v = ∇ • v. Dot product.
Curl v = ∇ X v. Cross product.

By the del operator we can remember curl v as
Det ( of rows (I,j,k) ,( ∂/∂x, ∂/∂y, ∂/∂z) , ( v_1, v_2, v_3) )

The del operator is linear

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12
Q

The laplacian operator

A

Similar laplacian operator ∇^2:
Defined by

∇^2 = ∇ • ∇ ≡ ∂^2 /∂x^2 + ∂^2 /∂y^2 + ∂^2 /∂z^2

Can act on both scalar and vector fields and is linear as the del operator is linear
∇^2 φ = div(grad φ)
∇^2 v = grad( div v) - curl(curl(v))

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