Math Problem Statement
explain and solve
Solution
Let's break down the problem and solve it step by step.
Problem Summary:
-
Vector space : The space of all real polynomials of degree ≤ .
- Basis:
- Dimension:
-
Given:
- , so dimension .
- General polynomial with basis elements .
-
Question (Part ii):
Is the set a basis of ?
Step 1: Basics of
The space consists of all polynomials of degree at most 2. Its standard basis is: Thus, any element of can be written as a linear combination of these basis vectors.
Step 2: Verifying the Given Set
The set to test is . For this set to be a basis of , it must satisfy two conditions:
- Spanning: The given vectors must span .
- Linear Independence: The vectors must be linearly independent.
To test linear independence, assume a linear combination of the vectors equals zero: We simplify this equation and collect terms based on powers of .
Step 3: Solve the Linear Combination
Expand the terms: Combine all terms: Group by powers of : For this equation to hold for all , the coefficients of , , and the constant term must all equal zero:
- Coefficient of :
- Coefficient of :
- Constant term:
Step 4: Solve the System of Equations
From the equations:
Substitute into the third equation: Simplify: Thus:
Step 5: Conclusion
Since is the only solution to the linear combination, the set is linearly independent.
Additionally, there are 3 vectors, which is equal to the dimension of . Therefore, the set forms a basis of .
Final Answer:
Yes, is a basis of .
Follow-Up Questions:
- What is the definition of a vector space basis?
- How can you determine the dimension of a polynomial vector space ?
- What does it mean for a set of vectors to be linearly independent?
- How do you test if a given set spans a vector space?
- Can you extend this result to higher-degree polynomial spaces?
Tip: In problems involving polynomial vector spaces, always start by comparing the number of given vectors to the dimension of the space.
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Math Problem Analysis
Mathematical Concepts
Vector Spaces
Linear Independence
Basis of a Space
Polynomials
Formulas
Linear combination: a1(2t^2 + 1) + a2(t^2 - 1) + a3(t + 2) = 0
Standard basis for P2: {1, t, t^2}
Theorems
A set of vectors is a basis if it is linearly independent and spans the vector space.
Linear independence: If a linear combination of vectors equals 0, all coefficients must be 0.
Suitable Grade Level
Undergraduate (Linear Algebra Course) or Grades 11-12
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