3. Index Notation Flashcards
Component Form
Definition
(a1, a2, a3)
Component Form
Advantages and Disadvantages
Advantages -simple -uses ordinary algebra Disadvantages -tedious for long expressions -does not make the coordinate-invariance obvious
Gibbs Notation
Definition
|a, |a . |b , etc.
Gibbs Notation
Advantages and Disadvantages
Advantages -compact and elegant -explicitly coordinate-invariant Disadvantages -can be difficult/ambiguous to manipulate some expressions involving operators
Index Notation
Advantages and DIsadvantages
- 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
Index Notation
Basics
-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
Free Index
- 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
Scalar Product
Index Notation
-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
Einstein Summation Convention
-whenever an index is repeated within a term, summation from 1 to 3 is implied/assumed
Dummy Index
- 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 many times can an index appear within a term?
- no index can appear more than twice within the same term
- but repeated indices can be resued in different terms
Scalar Product
Order of Terms
(|a . |b) (|c . |d) = aj ck bj dk
-the index shows which factors belong to which scalar product, not the position of the terms
Tensors
- 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
Second-Rank Tensor
- 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
Matrix Multiplication in Index Notation
[||A ||B}ij = (k=1->3)ΣAik Bkj
-using Einsteins summation convention, this becomes:
Aik Bjk