Linear Algebra Determinant proof

In summary, the proof of the determinant in linear algebra establishes a function that assigns a scalar value to a square matrix, reflecting its properties such as invertibility and volume scaling. The determinant can be computed using various methods, including cofactor expansion and row reduction, and satisfies key properties like multilinearity, alternating behavior, and the product rule. These characteristics make the determinant a fundamental tool in understanding linear transformations and solving systems of linear equations.
  • #1
TanWu
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Homework Statement
(a) Show that a matrix ##\left(\begin{array}{ll}e & g \\ 0 & f\end{array}\right)## has determinant equal to the product of the elements on the leading diagonal. Can you generalise this idea to any ##n \times n## matrix?
Relevant Equations
##\left(\begin{array}{ll}e & g \\ 0 & f\end{array}\right)##
I have a doubt about this problem.

(a) Show that a matrix ##\left(\begin{array}{ll}e & g \\ 0 & f\end{array}\right)## has determinant equal to the product of the elements on the leading diagonal. Can you generalize this idea to any ##n \times n## matrix? The first part is simple, it is just ef.

I have a doubt about what ##n \times n## matrix they want generalized too, for example do they want a upper triangular ##n \times n## matrix like the one the author as written or a lower triangular, or general matrix, etc.

I express gratitude to those who help.
 
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  • #2
The determinant of an upper or lower triangular matrix is equal to the product of the elements on the leading diagonal.

An upper triangular matrix is a square matrix whose entries below the leading diagonal are zero.

The claim follows quickly provided you are familiar with the Laplace expansion of the determinant.

Also, good job on using much more helpful titles. :cool:
 
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  • #3
Thank you Sir. Apologize, I am not familiar with that.
 
  • #4
In the "Relevant Equations" section, you should state how you have defined the determinant or any already-proven fact(s) that you use in your proof.
In general, you should work on stating your proofs in a more formal way. Where they are used, your proof should state what definitions, theorems, or lemas you are using.
 
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  • #5
note that geometrically this is the fact that the area of a parallelogram equals that of the rectangle with same height and base.
 
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FAQ: Linear Algebra Determinant proof

What is the determinant of a matrix?

The determinant is a scalar value that is a function of a square matrix. It provides important information about the matrix, such as whether it is invertible, the volume scaling factor of the linear transformation described by the matrix, and the orientation of the transformation. For a 2x2 matrix, the determinant can be calculated as ad - bc for a matrix of the form [[a, b], [c, d]].

How do you prove that the determinant of a matrix is zero if the matrix has linearly dependent rows?

If a matrix has linearly dependent rows, it means that at least one row can be expressed as a linear combination of the others. In this case, the transformation represented by the matrix collapses the volume of the transformed space to zero, indicating that the matrix is not invertible. The determinant, which measures this volume, must therefore be zero. This can be shown using properties of determinants, such as the fact that swapping two rows of a matrix changes the sign of the determinant, ultimately leading to a contradiction if the rows are dependent.

What is the geometric interpretation of the determinant?

The geometric interpretation of the determinant is that it represents the scale factor by which a linear transformation changes the volume of a shape in space. For a 2x2 matrix, the absolute value of the determinant corresponds to the area of the parallelogram formed by the column vectors of the matrix. In three dimensions, the absolute value of the determinant corresponds to the volume of the parallelepiped formed by the column vectors. A positive determinant indicates that the transformation preserves orientation, while a negative determinant indicates that it reverses orientation.

Can you explain how the determinant changes when performing row operations?

Row operations affect the determinant in specific ways: swapping two rows of a matrix multiplies the determinant by -1; multiplying a row by a scalar k multiplies the determinant by k; and adding a multiple of one row to another row does not change the determinant. These properties are essential for calculating the determinant using methods such as row reduction, where the determinant can be computed by transforming the matrix into an upper triangular form.

What is the relationship between the determinant and the inverse of a matrix?

The relationship between the determinant and the inverse of a matrix is that a square matrix is invertible if and only if its determinant is non-zero. If the determinant of a matrix is zero, the matrix does not have an inverse. Conversely, if the determinant is non-zero, the inverse can be computed, and the determinant of the inverse matrix is the reciprocal of the determinant of the original matrix. This relationship is crucial in linear algebra for solving systems of equations and understanding the properties of linear transformations.

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