Theorems and Definitions in Linear Algebra - Determinants

Determinants

If

A = \begin{pmatrix}
a & b \\
c & d \\
\end{pmatrix}

is a 2×2 matrix with entries form a field F, then we define the determinant of A, denoted det(A) or |A|, to be the scalar .


*Theorem 1: linear function for a single row.
*Theorem 2: nonzero determinant ⇔ invertible matrix

Theorem 1: The function det: M2×2(F) → F is a linear function of each row of a 2×2 matrix when the other row is held fixed. That is, if and are in F² and is a scalar, then

\det\begin{pmatrix}
u + kv\\
w\\
\end{pmatrix}
=\det\begin{pmatrix}
u\\
w\\
\end{pmatrix}
+ k\det\begin{pmatrix}
v\\
w\\
\end{pmatrix}

and

\det\begin{pmatrix}
w\\
u + kv\\
\end{pmatrix}
=\det\begin{pmatrix}
w\\
u\\
\end{pmatrix}
+ k\det\begin{pmatrix}
w\\
v\\
\end{pmatrix}

Theorem 2: Let A M2×2(F). Then thee deter minant of A is nonzero if and only if A is invertible. Moreover, if A is invertible, then

A^{-1}=\frac{1}{\det(A)}\begin{pmatrix}
A_{22}&-A_{12}\\
-A_{21}&A_{11}\\
\end{pmatrix}

Read more about this topic:  Theorems And Definitions In Linear Algebra