True or false, about determinant (linear algebra)

In summary, the statement "If det(AB)=0 then A or B doesn't have an inverse" is only true for square matrices. For non-square matrices, the statement is false as the concept of inverse does not apply. Therefore, the statement should specify that A and B are square matrices for it to be true.
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Homework Statement


If det (AB)=0 then A or B doesn't have an inverse. True or false?

2. The attempt at a solution
As det (AB)= det(A)*det(B)=0, it's clear that or det(A)=0, or det(B)=0 or both are worth 0. Meaning that there is at least A or B not inversible.
But this is only true when A and B are square matrices. Because I don't think the inverse of a matrix has sense when we are talking about nxm matrices, with m different from n.
Am I right? So my answer is FALSE.
 
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Your analysis is correct. The statement is only true for square matrices, as the concept of inverse does not apply to non-square matrices. Therefore, the statement should be qualified to specify that A and B are square matrices in order for it to be true. Otherwise, it is false.
 

1. What is a determinant in linear algebra?

A determinant is a mathematical concept used to determine the properties and behavior of a matrix. It is a single value that can be calculated for a square matrix and helps to understand the matrix's invertibility, the number of solutions to a system of linear equations, and the scaling factor of linear transformations.

2. How is a determinant calculated?

To calculate a determinant, one can use the cofactor expansion method or the row reduction method. The cofactor expansion method involves breaking the matrix into smaller submatrices and calculating their determinants, while the row reduction method involves using elementary row operations to transform the matrix into a triangular form, from which the determinant can be easily calculated.

3. What are some properties of determinants?

Some properties of determinants include:

  • The determinant of a matrix is zero if and only if the matrix is singular (not invertible).
  • The determinant of a matrix is equal to the product of its eigenvalues.
  • The determinant of a product of matrices is equal to the product of their determinants.
  • The determinant of a transpose of a matrix is equal to the determinant of the original matrix.

4. Can a determinant be negative?

Yes, a determinant can be negative. The sign of a determinant depends on the number of row swaps or column swaps that were performed during the calculation. If there is an odd number of swaps, the determinant will be negative, and if there is an even number of swaps, the determinant will be positive.

5. How are determinants used in real-world applications?

Determinants are used in various fields, including physics, engineering, and economics. In physics, determinants are used to calculate the moment of inertia of a rotating object. In engineering, determinants are used to solve systems of linear equations to design structures and analyze circuits. In economics, determinants are used to study equilibrium points in supply and demand models.

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