All Linear Algebra Resources
Example Questions
Example Question #429 : Linear Algebra
The volume of a tetrahedron in coordinate space with its vertices at the points is given by the following equation:
where
A tetrahedron has its vertices at , , , and . Give the volume of the tetrahedron.
For reasons that will become clear, the problem is made easier if each point is translated similarly so that one of them translates to the origin . Select the translation . Then the translations are:
Replace the variables in the matrix with these modified values:
The determinant can be found by choosing any row or column and adding the products of each value and its cofactor. Since the first row has three zeroes, thanks to our translations, choose this row:
,
where is the minor - the determinant of the matrix formed when Row 1 and Column 4 are removed:
The determinant of a matrix can be found by adding the products of the upper-left to lower-right diagonals and subtracting the products of the upper-right to lower-left diagonals:
,
and .
,
the volume of the tetrahedron.
Example Question #351 : Operations And Properties
Give the determinant of .
The determinant of a matrix can be calculated by subtracting the upper-right to lower-left product from the upper-left to lower-right product:
Example Question #352 : Operations And Properties
True or false: Square matrix is nilpotent if and only if .
True
False
False
A square matrix is nilpotent if, for some whole number , , the zero matrix of the same dimension as .
The determinant of the product of matrices is equal to the product of their determinants. It follows that if , , so . Therefore, any nilpotent matrix must have determinant 0.
However, not all matrices with determinant 0 are nilpotent, as is proved by counterexample. Let
This matrix is diagonal, as its only nonzero entry is alone its main diagonal. To raise this to a power , simply raise all of the diagonal elements to the power of , and preserve the off-diagonal zeroes. It follows that for all ,
Also, the determinant of is .
Since a non-nilpotent matrix with determinant zero exists, the biconditonal is false.
Example Question #41 : The Determinant
, , and are each real matrices.
; ; .
True or false: It follows that is a singular matrix.
True
False
True
The determinant of the product of matrices is equal to the product of their determinants; thus,
.
A matrix has determinant 0 if and only if it is singular - that is, without an inverse. It therefore follows that is singular.
Example Question #354 : Operations And Properties
Let , , and be three noncollinear points in Cartesian three-space. The equation of the plane through all three points is
Give the equation of the plane that includes the points , , and .
If the three known points , , and , and an unknown point are coplanar, then
The variable equation can be formed from this determinant equation.
Using the first row, this can be rewritten as
,
where , the minor, is the determinant of the matrix formed by striking out Row 1 and Column 4:
Adding the upper-left to lower-right products and subtracting the upper-right to lower left products:
Set this equal to 0 to get the equation of the plane:
Example Question #355 : Operations And Properties
, , and are each real matrices.
; ; .
True or false: It follows that is a nonsingular matrix.
False
True
False
The statement can be proved false through counterexample.
Let
Each of the matrices has only zero elements on its off-diagonal elements, so each is a diagonal matrix. Consequently, the determinant of each matrix is the product of its diagonal elements.
is a zero matrix, so ; is an identity matrix, so ; and
, , and meet the conditions of the problem. Now, add the matrices by adding corresponding entries:
This matrix is also diagonal, so
A matrix has determinant 0 if and only if it is singular - that is, without an inverse. It therefore follows that is singular. Thus, we have proved through counterexample that need not be nonsingular.
Example Question #42 : The Determinant
, , and are each real matrices.
; ; .
True or false: It follows that is a singular matrix.
False
True
False
The statement can be proved false through counterexample.
Let
Each of the matrices has only zero elements on its off-diagonal elements, so each is a diagonal matrix. Consequently, the determinant of each matrix is the product of its diagonal elements.
is a zero matrix, so ; is an identity matrix, so ; and
, , and meet the conditions of the problem. Now, add the matrices by adding corresponding entries:
This matrix is also diagonal, so
A matrix has a nonzero determinant if and only if it is nonsingular - that is, with an inverse. It therefore follows that is nonsingular. Thus, we have proved through counterexample that need not be singular.
Example Question #357 : Operations And Properties
Let , , , and be three points in Cartesian three-space. These points are coplanar if and only if
Three points are given: , , and . Which point along the line of the equation
is on the plane that includes these points?
None of the other choices gives the correct response.
The three points , , and , and a point of the form
for some real are on the same plane. Therefore, it follows that we must find so that
Using the first row, this can be rewritten as
,
where , the minor, is the determinant of the matrix formed by striking out Row 1 and Column 4:
Adding the upper-left to lower-right products and subtracting the upper-right to lower left products:
Thus,
,
and
et this equal to 0 and solve for :
The desired point is .
Example Question #47 : The Determinant
Let , , , and be three points in Cartesian three-space. These points are coplanar if and only if
Three points are given: , , and . Which point along the line of the equation
is on the plane that includes these points?
None of the other choices gives the correct response.
The three points , , and , and a point of the form for some real are on the same plane. Therefore, it follows that we must find so that
Using the first row, this can be rewritten as
,
where , the minor, is the determinant of the matrix formed by striking out Row 1 and Column 4:
Adding the upper-left to lower-right products and subtracting the upper-right to lower left products:
It follows that
,
and
Set this equal to 0 to find :
The desired point is .
Example Question #46 : The Determinant
, , and are each real matrices.
; ; .
True or false: It follows that is a nonsingular matrix.
False
True
False
The statement can be proved false through counterexample.
Let
Each of the matrices has only zero elements on its off-diagonal elements, so each is a diagonal matrix. Consequently, the determinant of each matrix is the product of its diagonal elements.
is a zero matrix, so ; is an identity matrix, so ; and
, , and meet the conditions of the problem. Now, add the matrices by adding corresponding entries:
This matrix is also diagonal, so
A matrix has determinant 0 if and only if it is singular - that is, without an inverse. It therefore follows that is singular. Thus, we have proved through counterexample that need not be nonsingular.