All Common Core: High School - Number and Quantity Resources
Example Questions
Example Question #151 : Vector & Matrix Quantities
Find the inverse of the following matrix.
In order to find the inverse of a matrix, we need to recall the formula for finding an inverse of a 2x2 matrix.
, where refer to position within the general 2x2 matrix .
The first step is to figure out what the fraction is.
In this case , , , and .
The next step is to swap the off diagonal entries, and the multiply by negative 1 on the off diagonal entries.
The last step is to multiply them together.
Example Question #152 : Vector & Matrix Quantities
Find the inverse of the following matrix.
In order to find the inverse of a matrix, we need to recall the formula for finding an inverse of a 2x2 matrix.
, where refer to position within the general 2x2 matrix .
The first step is to figure out what the fraction is.
In this case , , , and .
The next step is to swap the off diagonal entries, and the multiply by negative 1 on the off diagonal entries.
The last step is to multiply them together.
Example Question #1 : Vector Multiplication (Matrices Being Transformations Of Vectors): Ccss.Math.Content.Hsn Vm.C.11
Calculate
Not possible
In order to do matrix multiplication, we need to check if the dimensions check out. The matrix on the left is , and the matrix on the right is , so the dimensions check out. The resulting matrix will be . To do matrix multiplication, we take the rows of the matrix on the left, and multiply by the columns of the right matrix. Then we sum the results together. This is what it looks like in general.
Now we apply the above to get the following solution.
Example Question #2 : Vector Multiplication (Matrices Being Transformations Of Vectors): Ccss.Math.Content.Hsn Vm.C.11
Calculate
In order to do matrix multiplication, we need to check if the dimensions check out. The matrix on the left is , and the matrix on the right is , so the dimensions check out. The resulting matrix will be . To do matrix multiplication, we take the rows of the matrix on the left, and multiply by the columns of the right matrix. Then we sum the results together. This is what it looks like in general.
Now we apply the above to get the following solution.
Example Question #2 : Vector Multiplication (Matrices Being Transformations Of Vectors): Ccss.Math.Content.Hsn Vm.C.11
Calculate
In order to do matrix multiplication, we need to check if the dimensions check out. The matrix on the left is , and the matrix on the right is , so the dimensions check out. The resulting matrix will be . To do matrix multiplication, we take the rows of the matrix on the left, and multiply by the columns of the right matrix. Then we sum the results together. This is what it looks like in general.
Now we apply the above to get the following solution.
Example Question #4 : Vector Multiplication (Matrices Being Transformations Of Vectors): Ccss.Math.Content.Hsn Vm.C.11
Calculate
In order to do matrix multiplication, we need to check if the dimensions check out. The matrix on the left is , and the matrix on the right is , so the dimensions check out. The resulting matrix will be . To do matrix multiplication, we take the rows of the matrix on the left, and multiply by the columns of the right matrix. Then we sum the results together. This is what it looks like in general.
Now we apply the above to get the following solution.
Example Question #3 : Vector Multiplication (Matrices Being Transformations Of Vectors): Ccss.Math.Content.Hsn Vm.C.11
Calculate
In order to do matrix multiplication, we need to check if the dimensions check out. The matrix on the left is , and the matrix on the right is , so the dimensions check out. The resulting matrix will be . To do matrix multiplication, we take the rows of the matrix on the left, and multiply by the columns of the right matrix. Then we sum the results together. This is what it looks like in general.
Now we apply the above to get the following solution.
Example Question #161 : Vector & Matrix Quantities
Calculate
In order to do matrix multiplication, we need to check if the dimensions check out. The matrix on the left is , and the matrix on the right is , so the dimensions check out. The resulting matrix will be . To do matrix multiplication, we take the rows of the matrix on the left, and multiply by the columns of the right matrix. Then we sum the results together. This is what it looks like in general.
Now we apply the above to get the following solution.
Example Question #1 : Vector Multiplication (Matrices Being Transformations Of Vectors): Ccss.Math.Content.Hsn Vm.C.11
Calculate
In order to do matrix multiplication, we need to check if the dimensions check out. The matrix on the left is , and the matrix on the right is , so the dimensions check out. The resulting matrix will be . To do matrix multiplication, we take the rows of the matrix on the left, and multiply by the columns of the right matrix. Then we sum the results together. This is what it looks like in general.
Now we apply the above to get the following solution.
Example Question #8 : Vector Multiplication (Matrices Being Transformations Of Vectors): Ccss.Math.Content.Hsn Vm.C.11
Calculate
In order to do matrix multiplication, we need to check if the dimensions check out. The matrix on the left is , and the matrix on the right is , so the dimensions check out. The resulting matrix will be . To do matrix multiplication, we take the rows of the matrix on the left, and multiply by the columns of the right matrix. Then we sum the results together. This is what it looks like in general.
Now we apply the above to get the following solution.
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