Math Problem Statement
Solution
The problem asks whether the set is a minimal generating set for the vector space , which represents the space of polynomials of degree at most 2.
Step-by-Step Approach:
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Dimension of :
- The space consists of all polynomials of the form , where . This space has dimension 3, because any polynomial in can be written as a linear combination of the three basis elements and .
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Check if spans :
- A set of vectors spans a space if any element of the space can be written as a linear combination of the vectors in the set.
- Consider a general polynomial . We need to express this as a linear combination of , , and . That is, we want to find scalars such that: Expanding the right-hand side: Adding these up: Now compare this with . We get the system of equations:
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Solve the system: From , substitute into the third equation: Now, solve for and :
- From Equation 3, .
- Substitute this into Equation 2: Simplify to find : Now substitute into :
Thus, for any polynomial , we can express it as a linear combination of , , and . Hence, the set spans .
- Minimality: The set contains three elements, which is equal to the dimension of . Therefore, this set is a basis (minimal generating set) for .
Conclusion:
Yes, is a minimal generating set for .
Would you like a further breakdown of the system of equations or any additional details?
Related Questions:
- What is the general form of a polynomial in ?
- How do we determine the dimension of a vector space?
- How do we verify if a set of vectors spans a vector space?
- What does it mean for a set of vectors to be linearly independent?
- How can you find a basis for a polynomial vector space?
Tip:
When determining if a set is a basis, always check for both spanning and linear independence conditions!
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Math Problem Analysis
Mathematical Concepts
Linear Algebra
Vector Spaces
Polynomial Spaces
Formulas
General form of quadratic polynomial: ax^2 + bx + c
Linear combination: ax^2 + bx + c = α(x + 1) + β(x^2 - 1) + γ(2x - 1)
Theorems
Spanning Set
Basis of a Vector Space
Linear Independence
Suitable Grade Level
Undergraduate Linear Algebra