Properties of the Determinant

Before this, knowWhat Is the Determinant and Why Is It Important?

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Determinant for Rows or Columns with Zero

Let AA be a square matrix with a least one row or column consisting of only zeroes. Then det A=0det\ A=0.

Example

A=[1200]det A=1∗0−2∗0=0A=\begin{bmatrix}1&2\\0&0\end{bmatrix}\\ det\ A=1*0-2*0=0

Determinant for Similar Rows or Columns

Let AA be a square matrix with one row or column exactly the same as a second row or column respectively. Then det A=0det\ A=0.

Example

A=[3434]det A=3∗4−3∗4=0A=\begin{bmatrix}3&4\\3&4\end{bmatrix}\\ det\ A=3*4-3*4=0

Determinant for Multiplied Matrices

Let AA and BB be square matrices of similar size. Then det AB=det A∗det Bdet\ AB=det\ A*det\ B.

Example

A=[1234]B=[8657]det A=1∗4=2∗3=−2det B=8∗7−6∗5=26det A∗det⁡ B=−2∗26=−52AB=[18204446]det AB=18∗46−20∗44=−52∴det AB=det A∗det BA=\begin{bmatrix}1&2\\3&4\end{bmatrix}\\ B=\begin{bmatrix}8&6\\5&7\end{bmatrix}\\ det\ A=1*4=2*3=-2\\ det\ B=8*7-6*5=26\\ det\ A*\det\ B=-2*26=-52\\ AB=\begin{bmatrix}18&20\\44&46\end{bmatrix}\\ det\ AB=18*46-20*44=-52\\ \therefore det\ AB=det\ A*det\ B

Determinant for Singular Matrices

A matrix AA is said to be singular if and only if det A=0det\ A=0.

Determinant for Inverse Matrices

Let AA be a square matrix and let A−1A^{-1} be it's inverse. Then .

Example

A=[10473]det A=10∗3−4∗7=2A−1=[32−2−725]det A−1=(32 ∗5)−(−2∗−72 )=12∴det A−1=1det AA=\begin{bmatrix}10&4\\7&3\end{bmatrix}\\ det\ A=10*3-4*7=2\\ A^{-1}=\begin{bmatrix}\frac32&-2\\-\frac72&5\end{bmatrix}\\ det\ A^{-1}=(\frac32\ *5)-(-2*-\frac72\ )=\frac12\\ \therefore det\ A^{-1}=\frac{1}{det\ A}

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Determinants from Row Operations

Row Switch

Let AA be a square matrix and let BB be the new matrix created when two rows or columns have been switched. Then det B=−det Adet\ B=-det\ A.

Example

A=[1234]R1⟷R2[3412]=Bdet A=1∗4−2∗3=−2det B=3∗2−1∗4=2∴det B=−det AA=\begin{bmatrix}1&2\\3&4\end{bmatrix}\\ R_1\longleftrightarrow R_2\\ \begin{bmatrix}3&4\\1&2\end{bmatrix}=B\\ det\ A=1*4-2*3=-2\\ det\ B=3*2-1*4=2\\ \therefore det\ B=-det\ A

Row Multiplication

Let AA be a square matrix and let BB be the new matrix created when one row or column of matrix AA is multiplied by a scalar cc. Then det B=c∗det Adet\ B=c*det\ A.

Example

A=[1234]2R2⟶R2[1268]=Bdet A=1∗4−2∗3=−2det B=1∗8−2∗6=−4∴det B=2∗det AA=\begin{bmatrix}1&2\\3&4\end{bmatrix}\\ 2R_2\longrightarrow R_2\\ \begin{bmatrix}1&2\\\color{red}6&\color{red}8\end{bmatrix}=B\\ det\ A=1*4-2*3=-2\\ det\ B=1*8-2*6=-4\\ \therefore det\ B=2*det\ A

Row Addition

Let AA be a square matrix and let BB be the new matrix created when one row or column of matrix AA is multiplied by a scalar cc and added to another row. Then det B=det Adet\ B=det\ A.

Example

A=[1234]5R1+R2⟶R2[12814]=Bdet A=1∗4−2∗3=−2det B=1∗14−2∗8=−2∴det B=det AA=\begin{bmatrix}1&2\\3&4\end{bmatrix}\\ 5R_1+R_2\longrightarrow R_2\\ \begin{bmatrix}1&2\\\color{red}8&\color{red}{14}\end{bmatrix}=B\\ det\ A=1*4-2*3=-2\\ det\ B=1*14-2*8=-2\\ \therefore det\ B=det\ A

Type a concept, like “slope” or “photosynthesis”.

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