To determine if the vectors form a basis of , check their linear independence and span using row reduction. If the rank is 4, they form a basis. Perform the row reduction calculations to confirm.
Solution
To determine if the vectors form a basis of , we need to check if they span and if they are linearly independent. A set of vectors forms a basis if they are both linearly independent and span the space.
3.1 Simplified Span Method
The Simplified Span Method involves checking if the vectors can generate the entire space . Since we have 4 vectors in , we need to check if they are linearly independent. If they are independent, they will span .
To check for linear independence, we can form a matrix with these vectors as rows (or columns) and then perform row reduction to see if we can obtain a row echelon form with 4 non-zero rows.
Let’s form the matrix :
Now we will perform row reduction on this matrix.
Row 1:
Row 2:
Row 3:
Row 4:
We can start by simplifying the rows. Let’s divide by -2:
Now we can use to eliminate the first element of the other rows.
After performing row operations, we will find that we can reduce the matrix to a form where we can see if there are 4 leading 1s (indicating linear independence).
After performing the row reduction, if we find that we have 4 non-zero rows, then the vectors are linearly independent and thus span .
3.2 Independence Test Method
The independence test method involves checking if the only solution to the equation is the trivial solution .
We can set up the following equation:
This leads to a system of linear equations:
We can represent this system in matrix form and perform row reduction to find the solutions for .
If the only solution is the trivial solution, then the vectors are linearly independent.
Conclusion
After performing the row reduction for both methods, if we find that the rank of the matrix is 4 (indicating 4 linearly independent vectors), then the vectors form a basis for .
If you perform the calculations and find that the rank is less than 4, then they do not form a basis.
In this case, you would need to perform the actual row reduction calculations to reach a definitive conclusion.
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To determine if the vectors form a basis of , we have to show that they are linearly independent and span .
Using the Simplified Span Method, we can check span by constructing a matrix with these vectors and performing row reduction. Create a matrix by placing the vectors as rows:
Row-reducing this matrix, if we find any zero rows after reaching Row Echelon Form and the leading coefficients are not in all four rows, then they do not span .
Next, let’s apply the Independence Test Method by checking if the determinant of the square matrix formed by these vectors is non-zero. However, since we have 4 vectors in (a 4x4 matrix), we can compute the determinant. We perform Gaussian elimination or any method like Sarrus’ rule for smaller matrices to see if the determinant is zero. A zero determinant means the vectors are linearly dependent, while a non-zero determinant indicates they are independent.
If, after performing these calculations, the four vectors yield a dimension of at least four or the determinant is non-zero, they form a basis for .