Question

Prove that if the product of two matrices is the zero matrix, then at least one of the factors has determinant 0 .

Short answer

Question: If the product of two matrices A and B is the zero matrix, prove that at least one of the factors has determinant 0. Answer: Since the product of two determinants is equal to the determinant of their product (det(AB) = det(A) * det(B)), and the determinant of the zero matrix is always 0, therefore det(AB) = 0. So, 0 = det(A) * det(B). This implies that either det(A) = 0, det(B) = 0, or both det(A) = 0 and det(B) = 0. Thus, at least one of the factors has a determinant of 0.

Step-by-step solution

Stating the given situation

We are given that the product of two matrices A and B is the zero matrix, denoted by AB = 0.

Determinant of a product

In this step, we'll use the property of the determinant of the product of two matrices. The determinant of the product of two matrices is equal to the product of their determinants, i.e., det(AB) = det(A) * det(B).

Determinant of the zero matrix

We know that the determinant of the zero matrix is always 0. Since AB = 0, we can write det(AB) = 0.

Replace det(AB) with the product of det(A) and det(B)

From steps 2 and 3, we have, det(AB) = det(A) * det(B) Since det(AB) = 0, we can write: 0 = det(A) * det(B)

Conclude that at least one determinant is 0

Since the product of det(A) and det(B) is 0, it must be the case that either det(A) = 0, det(B) = 0, or both det(A) = 0 and det(B) = 0. Thus, at least one of the factors has a determinant of 0.

Key concepts

Zero Matrix

Imagine a matrix filled with nothing but zeroes. This is what we call a zero matrix. It's a specific type of matrix where every single element is zero.
It serves a particular role in linear algebra and matrix theory. When you multiply any matrix by a zero matrix, the result is always a zero matrix.
This results from the fact that every element in the zero matrix is zero, leading to a sum of zero for each entry in the resulting matrix.

• For example, if you have a 2x2 zero matrix, multiplying it with any 2x2 matrix will yield another 2x2 zero matrix.
• A zero matrix can be of any size, such as 2x2, 3x3, or even larger, as long as all its elements are zero.

This property helps establish key results in matrix operations and simplifies complex calculations. When analyzing the product of two matrices, if the result is a zero matrix, it often presents information about the characteristics of the original matrices used in the multiplication.

Determinant Properties

The determinant of a matrix reveals several important aspects of the matrix. It is a scalar value that can provide information about the matrix's invertibility and the system of equations it might represent.
A key property of determinants is their behavior under matrix multiplication. Specifically, if you have two matrices, say A and B, the determinant of their product can be written in terms of their individual determinants:

• \( ext{det}(AB) = ext{det}(A) \times ext{det}(B) \)
• This provides a shortcut for calculating the determinant of the product without fully multiplying the matrices first.

But what happens if the determinant of a matrix is zero? This situation tells us that the matrix is singular, meaning it doesn't have an inverse.
Consequently, when we encounter a scenario where the product of two matrices is a zero matrix, as discussed in the original exercise, we're led to conclude that:

• At least one of the matrices must have a determinant of zero.
• This means at least one of the matrices is singular and cannot be inverted.

Understanding these properties of determinants is crucial, as they help us solve and analyze complex mathematical problems effectively.

Matrix Multiplication

Matrix multiplication is a fundamental operation in linear algebra. It's not simply multiplying each element of one matrix by the corresponding element of another.
Instead, it's a more complex operation that involves the dot product of rows and columns from two matrices.
To multiply matrices A and B, the number of columns in A must equal the number of rows in B, resulting in a new matrix.

• The element at the intersecting position in the resulting matrix is obtained by multiplying elements from a row in the first matrix by corresponding elements from a column in the second matrix, adding all these products together.
• This operation is essential for transforming vectors, solving systems of equations, and more.

When it comes to determining if one of the matrices has a determinant of zero, noting a zero product in matrix multiplication can give significant clues. If the resultant product is a zero matrix, like in the initial problem, it points to special properties about the matrices involved, such as one having a zero determinant.
Mastering matrix multiplication is crucial in advanced mathematics, enabling one to understand how changes in one matrix interact with components of another.