Linear Algebra -finding determinant of a matrix

In summary: But now it is easy to calculate the determinant: it is just the product of the diagonal which is -9.In summary, the conversation discusses the most efficient way to solve a given question using minors and row reduction. The expert suggests that expansion using minors is the best approach and explains how it works. They also mention the use of row reduction to reduce the matrix to a triangular form, making it easier to calculate the determinant. The expert also provides an example of using row reduction to solve the given question.
  • #1
Unusualskill
35
1
the first row 1 0 0 2
the 2nd row 0 1 2 0
the 3rd row 0 2 1 0
the 4th row 2 0 0 1

I would like to ask which is the most efficient way of solving this ques.Though i can solve but is long method, I know there must have some quick 1, appreciate if u can share it. thank you
 
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  • #2
Expansion using minors is your best approach.
 
  • #3
SteamKing said:
Expansion using minors is your best approach.
minors?
 
  • #4
Unusualskill said:
minors?
If aij is an element in matrix A, the minor of this element, Aij, is the submatrix that contains all of the elements of A that are not in row i or in column j.
For example, a11 in your matrix is 1. The minor of this element is A11, which is
\begin{bmatrix} 1 & 2 & 0 \\ 2 & 1 & 0 \\ 0 & 0 & 1\end{bmatrix}

For more details of how this works to calculate the determinant, do a web search for "determinant minor".
 
  • #5
Expanding by minors on the first row:
[tex]\left|\begin{array}{cccc}1 & 0 & 0 & 2 \\ 0 & 1 & 2 & 0 \\ 0 & 2 & 1 & 0 \\ 2 & 0 & 0 & 1 \end{array}\right|= 1\left|\begin{array}{ccc} 1 & 2 & 0 \\ 2 & 1 & 0 \\ 0 & 0 & 1\end{array}\right|- 2 \left|\begin{array}{ccc}0 & 0 & 2 \\ 1 & 2 & 0 \\ 2 & 1 & 0 \end{array}\right|[/tex].
You could then expand the first of those two determinants on the last row and the second on the first row.

You can also use "row reduction" to reduce the underlying matrix to a triangular matrix. The determinant of a triangular matrix is just the product of the numbers on the diagonal and "row reduction" changes the determinant is a regular way. The basic "row operation" are
1) multiply every number on a row by the same number. This multiplies the determinant by that number.
2) swap two rows. This multiplies the determinant by -1.
3) add a multiple of a row to another row. This does not change the determinant- and it is always possible to reduce a matrix to a triangular matrix using only this.

Here, if you add -2 times the first row to the last row you get [tex]\begin{bmatrix}1& 0 & 0 & 2 \\ 0 & 1 & 2 & 0 \\ 0 & 2 & 1 & 0 \\ 0 & 0 & 0 & -3\end{bmatrix}[/tex].

Now, add -2 times the second row to the third row: [tex]\begin{bmatrix}1 & 0 & 0 & 2 \\ 0 & 1 & 2 & 0 \\ 0 & 0 & -3 & 0 \\ 0 & 0 & 0 & -3\end{bmatrix}[/tex]

Since we used only "add a multiple of one row to another" that matrix has the same determinant as the original.
 
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What is a determinant of a matrix?

A determinant of a matrix is a numerical value that is computed from the elements of the matrix. It is used to determine certain properties of the matrix and is an important concept in linear algebra.

How is the determinant of a matrix calculated?

The determinant of a matrix is calculated by following a specific set of steps. First, the matrix is transformed into an upper triangular matrix through row operations. Then, the determinant is calculated by multiplying the elements on the main diagonal of the upper triangular matrix.

What does the determinant of a matrix tell us?

The determinant of a matrix tells us about the properties of the matrix, such as whether the matrix is invertible or singular. It can also be used to find the area or volume of a parallelogram or parallelepiped formed by the vectors in the matrix.

Why is finding the determinant of a matrix important?

The determinant of a matrix is important in various fields of mathematics and science, including linear algebra, differential equations, and physics. It is also used in practical applications such as computer graphics, image processing, and data analysis.

Are there any shortcuts or tricks for finding the determinant of a matrix?

Yes, there are a few shortcuts or tricks that can be used to find the determinant of a matrix. These include using properties of determinants, such as the fact that the determinant of a matrix is equal to the product of its eigenvalues, or using special formulas for specific types of matrices, such as diagonal or triangular matrices.

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