Math Problem Statement
Solution
Problem Breakdown:
The question is asking which of the given polynomials can be added to the set to form a basis for , the space of all polynomials of degree at most 2. A basis for requires:
- Three linearly independent polynomials (since ).
- Independence is checked by verifying that the polynomials in the extended set are not linear combinations of each other.
Solution Steps:
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Represent Polynomials as Vectors:
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For :
- corresponds to (constant, , and coefficients).
- corresponds to .
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Additional polynomials:
- ,
- ,
- .
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Set Up the Matrix: The vectors are rows in the following matrix:
1 & 3 & 0 \\ 1 & 0 & -6 \\ 2 & 3 & -7 \\ \end{bmatrix}$$ To test if $$i$$ adds independence, check the rank. Repeat the process for $$ii$$ and $$iii$$. -
Linear Independence Tests: Use row reduction or determinant methods to check whether the rank of the extended matrix increases to 3 when one of the given polynomials is added.
Testing:
Adding Polynomial :
1 & 3 & 0 \\ 1 & 0 & -6 \\ 2 & 3 & -7 \\ \end{bmatrix}$$ Row reduce: $$\begin{bmatrix} 1 & 3 & 0 \\ 0 & -3 & -6 \\ 0 & 0 & -3 \\ \end{bmatrix}$$ The matrix has rank 3 ($$i$$ adds independence). #### Adding Polynomial $$ii: [4, 3, -19]$$: $$\begin{bmatrix} 1 & 3 & 0 \\ 1 & 0 & -6 \\ 4 & 3 & -19 \\ \end{bmatrix}$$ Row reduce: $$\begin{bmatrix} 1 & 3 & 0 \\ 0 & -3 & -6 \\ 0 & 0 & -15 \\ \end{bmatrix}$$ The matrix has rank 3 ($$ii$$ adds independence). #### Adding Polynomial $$iii: [11, 18, -31]$$: $$\begin{bmatrix} 1 & 3 & 0 \\ 1 & 0 & -6 \\ 11 & 18 & -31 \\ \end{bmatrix}$$ Row reduce: $$\begin{bmatrix} 1 & 3 & 0 \\ 0 & -3 & -6 \\ 0 & 0 & -3 \\ \end{bmatrix}$$ The matrix has rank 3 ($$iii$$ adds independence). --- ### Conclusion: All three polynomials $$i, ii, iii$$ can be added to the set to form a basis for $$P_2$$. ### Final Answer: **(H) All of them** --- Would you like a more detailed explanation of the row reduction or properties of linear independence? ### Related Questions: 1. What are the properties of a basis in vector spaces? 2. Why does the dimension of $$P_2$$ equal 3? 3. How do you verify linear independence using determinants? 4. What does row reduction achieve when testing independence? 5. How do you generalize this process to spaces higher than $$P_2$$? ### Tip: Always check that the number of polynomials in a potential basis equals the dimension of the space, as it helps identify if you need to test independence.Ask a new question for Free
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Math Problem Analysis
Mathematical Concepts
Linear Algebra
Vector Spaces
Basis
Linear Independence
Formulas
Matrix representation of polynomials
Rank of a matrix to test linear independence
Theorems
Linear Independence Criterion
Dimension Theorem for Vector Spaces
Suitable Grade Level
College Level
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