8 2. A Summary of Basic Determinant Theory
An=
∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣
R 1
R 2
R 3
Rn
∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣ ∣
=
∣
∣C
1 C 2 C 3 ···Cn
∣
∣. (2.2.2)
The column vector notation is clearly more economical in space and will
be used exclusively in this and later chapters. However, many properties
of particular determinants can be proved by performing a sequence of row
and column operations and in these applications, the symbolsRiandCj
appear with equal frequency.
If every element inCjis multiplied by the scalark, the resulting vector
is denoted bykCj:
kCj=
[
ka 1 jka 2 jka 3 j···kanj
]T
Ifk= 0, this vector is said to be zero or null and is denoted by the boldface
symbolO.
Ifaijis a function ofx, then the derivative ofCjwith respect toxis
denoted byC
′
jand is given by the formula
C
′
j=
[
a
′
1 ja
′
2 ja
′
3 j···a
′
nj
]T
2.3 Elementary Formulas
2.3.1 Basic Properties
The arbitrary determinant
A=|aij|n=
∣
∣
C 1 C 2 C 3 ···Cn
∣
∣
,
where the suffixnhas been omitted fromAn, has the properties listed
below. Any property stated for columns can be modified to apply to rows.
a.The value of a determinant is unaltered by transposing the elements
across the principal diagonal. In symbols,
|aji|n=|aij|n.
b.The value of a determinant is unaltered by transposing the elements
across the secondary diagonal. In symbols
|an+1−j,n+1−i|n=|aij|n.
c. If any two columns ofAare interchanged and the resulting determinant
is denoted byB, thenB=−A.