3. Index Notation Flashcards

1
Q

Component Form

Definition

A

(a1, a2, a3)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Component Form

Advantages and Disadvantages

A
Advantages
-simple
-uses ordinary algebra
Disadvantages
-tedious for long expressions
-does not make the coordinate-invariance obvious
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Gibbs Notation

Definition

A

|a, |a . |b , etc.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Gibbs Notation

Advantages and Disadvantages

A
Advantages
-compact and elegant
-explicitly coordinate-invariant
Disadvantages
-can be difficult/ambiguous to manipulate some expressions involving operators
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Index Notation

Advantages and DIsadvantages

A
  • it is compact and exploits coordinate-invariance, but is also unambiguous using ordinary algebraic operations
  • it can be difficult at first
  • also known as suffix notation
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Index Notation

Basics

A

-consider a simple vector addition:
->Gibbs Notation: |a + |b = |c
->Components: a1+b1=c1 , a2+b2=c2 , a3+b3=c3
-in index notation this is written:
ai + bi = ci
-where implicitly the free index i takes values 1, 2, 3

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Free Index

A
  • for ai + bi = ci , i is called a free index
  • in a sum all terms must have the same free index, ai+bi=ci is a valid equation but aj+bk=cj is not
  • we can use any index letter so, ak+bk=ck is valid
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Scalar Product

Index Notation

A
-consider a scalar product:
|a . |b = a1b1 + a2b2 + a3b3
= Σajbj between j=1 and j=3
-in index notation we drop the sum according to the Einstein summation convention giving:
|a . |b = aj bj
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Einstein Summation Convention

A

-whenever an index is repeated within a term, summation from 1 to 3 is implied/assumed

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Dummy Index

A
  • an index of summation (a repeated index) is called a dummy index
  • the choice of letter is arbitrary and different terms may use different dummy indices
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

How many times can an index appear within a term?

A
  • no index can appear more than twice within the same term

- but repeated indices can be resued in different terms

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Scalar Product

Order of Terms

A

(|a . |b) (|c . |d) = aj ck bj dk

-the index shows which factors belong to which scalar product, not the position of the terms

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Tensors

A
  • in index notation a scalar quantity has no free indices, while a vector quantity has one free index
  • the concept of a coordinate-invariant quantity can be generalised to objects with an arbitrary number of indices, known as tensors
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Second-Rank Tensor

A
  • a second rank tensor is a tensor with two indices
  • it can be represented as a 3x3 matrix
  • the rank of a tensor is determined by the number of indices it has
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Matrix Multiplication in Index Notation

A

[||A ||B}ij = (k=1->3)ΣAik Bkj
-using Einsteins summation convention, this becomes:
Aik Bjk

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Inner Product

A
  • any product of two vectors or tensors that share a dummy index e.g. aij uj is called an inner product
  • a generalisation of the scalar product
17
Q

The Kronecker Delta

A

-the Kronecker delta is a special tensor defined as
𝛿ij = {1 if i=j, 0 if i≠j}
-represented as a matrix it corresponds to the identity matrix

18
Q

Properties of the Kronecker Delta

A

1) it is symmetric 𝛿ij=𝛿ji
2) if i or j is a free index, 𝛿ij acts as a substitution operator:
𝛿ij aj = ai
3) 𝛿ij can be used to represent the scalar product 𝛿ij ai bj = ajbj = |a.|b

19
Q

The Vector Product

Index Notation

A

|a x |b = εijk aj bk

20
Q

The Alternating Tensor

A
εijk = 1 for (i,j,k) = (1,2,3) or (2,3,1) or (3,1,2)
εijk = -1 for (i,j,k) = (3,2,1) or (1,3,2) or (2,1,3)
εijk = 0 otherwise
21
Q

Properties of εijk

A

1) εijk = εkij = εjki
- ε is symmetric under cyclic permutation
2) εijk = -εjik
- anti-symmetric under exchange of indices (for any two indices)
3) εiik = 0
4) εijk is called the ‘alternating tensor’ or the ‘Levi-Civita’ symbol

22
Q

Scalar Triple Product

Index Notation

A

|a . (|b x |c) = εijk ai bj ck

23
Q

Inner Product of Two Alternating Tensors

A

εijk εilm = 𝛿jl 𝛿km - 𝛿jm 𝛿kl

24
Q

How to remember the inner product of two alternating tensors

A

-the repeated index is the first
-the deltas combine:
(2nd index with 2nd)(3rd with 3rd) - (2nd with 3rd)(3rd with 2nd)

25
Q

The Vector Triple Product Rule

A

|a x (|b x |c) = (|a . |c)|b - (|a . |b)|c

26
Q

Del

Index Notation

A

(|∇)i = ∂/∂xi = ∂i

where x1 = x, x2 = y, x3 = z

27
Q

Grad

Index Notation

A

(grad φ)i = ∂φ/∂xi

28
Q

Divergence

Index Notation

A

div |F = |∇ . |F = ∂Fi/∂xi

29
Q

Curl

Index Notation

A

(curl |F)i = (|∇ x |F)i = εijk ∂/∂xj Fk

30
Q

Index Notation and Differential Operators

A
  • while order of factors doesn’t matter for algebraic products, it DOES for differential operators
    i. e. |∇ . |F = ∂i Fi ≠ Fi ∂i
31
Q

Partial Derivative

Index Notation

A

∂xj/∂xi = 𝛿ij

32
Q

Identities

div(g |F)

A

div(g |F) = |F . grad g + g div |F

33
Q

Identities

curl(|F g)

A

curl(|F g ) = g curl |F - |F x grad g

34
Q

Laplacian

Index Notation

A

∇² = ∂² / ∂xi ∂xi

-where the repeated index indicates notation

35
Q

Identities

div (grad f)

A

div (grad f) = ∇² f

36
Q

Identities

curl (grad f)

A

curl (grad f ) = - curl (grad f )

-therefore, curl (grad f ) = 0

37
Q

Identities

curl (curl |F )

A

curl (curl |F) = grad (div |F ) - ∇² |F