Math Problem Statement
Let {u1 (x) = -3, u2 (x) = -12x, u3 (x) = -12x^2 } be a basis for a subspace of P2. Use the Gram-Schmidt process to find an orthogonal basis under the integration inner product <f, g> = / 1 0 f(x) g(x) dx on C [0, 1]. Orthogonal basis: {v1 (x) = -3, v2 (x) = -12x + a, v3 (x) = -12x^2 + bx + c}
Solution
We are given three functions , which form a basis for a subspace of (polynomials of degree up to 2). We need to find an orthogonal basis for this space using the Gram-Schmidt process with respect to the integration inner product defined as:
Let's denote the orthogonal basis we seek as . The Gram-Schmidt process will generate these orthogonal vectors (polynomials) step by step. Here's how we proceed:
Step 1: Set
We start by setting the first orthogonal polynomial to the first function in the original set: This is already a constant, so it's orthogonal to other polynomials.
Step 2: Find
Next, we construct by subtracting from its projection onto .
The projection of onto is given by: We compute the inner products:
Now, the projection is:
So, we subtract the projection from to get :
Step 3: Find
Now we need to construct by subtracting from its projections onto and .
The projection of onto is: Compute the inner product: Thus, the projection is:
Next, the projection of onto is: First, compute and :
Thus, the projection is:
Now, subtract the projections from :
Final Orthogonal Basis
Thus, the orthogonal basis is:
Let me know if you would like more details or have any questions.
Here are five related questions to expand on this:
- What is the Gram-Schmidt process used for in general?
- How do you normalize an orthogonal basis to make it orthonormal?
- Why is the inner product in this case defined by an integral?
- Can you apply the Gram-Schmidt process to a basis that isn't linearly independent?
- How would you modify the process if the inner product was defined differently?
Tip: Always double-check inner product computations carefully when applying the Gram-Schmidt process, as small errors can propagate through the entire calculation!
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Math Problem Analysis
Mathematical Concepts
Linear Algebra
Gram-Schmidt Process
Inner Product Spaces
Orthogonalization
Formulas
Inner Product: ⟨f, g⟩ = ∫₀¹ f(x)g(x) dx
Projection Formula: proj_v(u) = (⟨u, v⟩ / ⟨v, v⟩) * v
Theorems
Gram-Schmidt Theorem
Properties of Inner Products
Suitable Grade Level
College/University Level
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