To find the change-of-basis matrix PB←C, which converts coordinates from basis C to basis B, we need to express each vector in basis C in terms of the basis B.
Given
Basis B:
B=⎩⎨⎧100,010,001⎭⎬⎫
Basis C:
C=⎩⎨⎧111,011,001⎭⎬⎫
We need to write the vectors of C in terms of the standard basis B.
Step-by-Step Solution
To find the change-of-basis matrix PB←C, we can use the following method:
Construct the matrix C whose columns are the coordinates of the vectors of C in the standard basis B.
Since the basis B is the standard basis, the change-of-basis matrix PB←C is simply the inverse of matrix C.
Let's construct matrix C:
C=111011001
Next, we find the inverse of matrix C to obtain PB←C.
Finding the Inverse of C
The matrix C is:
C=111011001
To find C−1, we perform the following steps:
Augment C with the identity matrix:
1 & 0 & 0 & 1 & 0 & 0 \\
1 & 1 & 0 & 0 & 1 & 0 \\
1 & 1 & 1 & 0 & 0 & 1
\end{array} \right)$$
2. Use row operations to reduce $$C$$ to the identity matrix.
**Step 1**: Subtract the first row from the second and third rows:
$$\left( \begin{array}{ccc|ccc}
1 & 0 & 0 & 1 & 0 & 0 \\
0 & 1 & 0 & -1 & 1 & 0 \\
0 & 1 & 1 & -1 & 0 & 1
\end{array} \right)$$
**Step 2**: Subtract the second row from the third row:
$$\left( \begin{array}{ccc|ccc}
1 & 0 & 0 & 1 & 0 & 0 \\
0 & 1 & 0 & -1 & 1 & 0 \\
0 & 0 & 1 & 0 & -1 & 1
\end{array} \right)$$
Now, we have:
$$\left( \begin{array}{ccc|ccc}
1 & 0 & 0 & 1 & 0 & 0 \\
0 & 1 & 0 & -1 & 1 & 0 \\
0 & 0 & 1 & 0 & -1 & 1
\end{array} \right)$$
The augmented part is now the inverse of $$C$$:
$$C^{-1} = \begin{pmatrix}
1 & 0 & 0 \\
-1 & 1 & 0 \\
0 & -1 & 1
\end{pmatrix}$$
So, the change-of-basis matrix $$P_{B \leftarrow C}$$ is:
$$P_{B \leftarrow C} = \begin{pmatrix}
1 & 0 & 0 \\
-1 & 1 & 0 \\
0 & -1 & 1
\end{pmatrix}$$
### Summary
The change-of-basis matrix from basis $$C$$ to basis $$B$$ is:
$$P_{B \leftarrow C} = \begin{pmatrix}
1 & 0 & 0 \\
-1 & 1 & 0 \\
0 & -1 & 1
\end{pmatrix}$$
Would you like details or have any questions?
Here are 8 related questions that expand on this information:
1. How do you find the change-of-basis matrix in general?
2. What are the properties of the change-of-basis matrix?
3. How can you verify that a matrix is the inverse of another matrix?
4. How do you apply the change-of-basis matrix to a vector?
5. What is the significance of the change-of-basis matrix in linear transformations?
6. How do you find the coordinates of a vector in a new basis using the change-of-basis matrix?
7. What are some practical applications of change-of-basis matrices?
8. How do you determine if a set of vectors forms a basis for $$\mathbb{R}^n$$?
**Tip:** When computing the inverse of a matrix, always double-check your row operations to ensure accuracy.