Math Problem Statement
express it as a and vb
Solution
To express as a polynomial with coefficients in terms of and , let's follow these steps:
Step 1: Express in the Basis
We know that: Let's solve this system:
-
Expand the right-hand side:
-
Match coefficients of like terms:
- Coefficient of :
- Constant term:
Solving the system:
- From , we get .
- Substitute into the equation for the term:
Thus, we have:
Step 2: Apply the Linear Operator to
Given the matrix , we can now express using the previously found coefficients:
This can be written as:
Using the matrix :
Thus:
Step 3: Simplify and Express in Terms of and
Simplify:
Finally, express as , where:
Thus:
Conclusion:
with coefficients and .
Would you like further details or have any questions about this problem?
Next Steps:
- Can you interpret the result in terms of linear transformations?
- How does changing the basis affect the coefficients and ?
- How would you find for a general polynomial ?
- What if the basis vectors were different—how would the result change?
- Can you verify the matrix representation of in both bases and ?
- How does this problem relate to eigenvalues and eigenvectors?
- Could you express using another set of polynomials, such as the standard monomials?
- How would the matrix change if you swapped the basis vectors?
Tip: Working through problems like this can help solidify your understanding of linear operators and their representations in different bases.
Ask a new question for Free
By Image
Drop file here or Click Here to upload
Math Problem Analysis
Mathematical Concepts
Linear Operators
Basis Representation
Formulas
Matrix representation of linear operators
Theorems
Linear transformation properties
Suitable Grade Level
Advanced Undergraduate
Related Recommendation
Matrix Representation of T Relative to Basis B
Matrix of Transformation T on Polynomial Basis (1, x, x^2, x^3)
Matrix Representation of a Linear Transformation in Polynomial Basis
Understanding Linear Transformations with Matrix Multiplication
Linear Operator Matrix Representation and Polynomial Solutions in Vector Space R2[x]