Math Problem Statement

Let S = {x^3 - x^2 - x + 1, -x + 1, 2x^3 - x^2 - x, 15x^3 - 8x^2 - 13x + 12}, then determine: (a) A maximal linearly independent subset A of S. (b) The dimension of span(S) and whether span(S) equals P_3. (c) Whether A is a minimal spanning set for span(S).

Solution

We are given the following problem involving a set of polynomials:

Problem Setup:

Let S={x3x2x+1,x+1,2x3x2x,15x38x213x+12}S = \{ x^3 - x^2 - x + 1, -x + 1, 2x^3 - x^2 - x, 15x^3 - 8x^2 - 13x + 12 \}.

We need to address the following parts:

(a) Determine a maximal linearly independent subset AA of SS.

To determine the maximal linearly independent subset, we treat these polynomials as vectors in a vector space of polynomials of degree at most 3. We will express the polynomials as vectors in terms of their coefficients:

  1. p1(x)=x3x2x+1p_1(x) = x^3 - x^2 - x + 1 corresponds to the vector (1111)\begin{pmatrix} 1 \\ -1 \\ -1 \\ 1 \end{pmatrix}.
  2. p2(x)=x+1p_2(x) = -x + 1 corresponds to the vector (0011)\begin{pmatrix} 0 \\ 0 \\ -1 \\ 1 \end{pmatrix}.
  3. p3(x)=2x3x2xp_3(x) = 2x^3 - x^2 - x corresponds to the vector (2110)\begin{pmatrix} 2 \\ -1 \\ -1 \\ 0 \end{pmatrix}.
  4. p4(x)=15x38x213x+12p_4(x) = 15x^3 - 8x^2 - 13x + 12 corresponds to the vector (1581312)\begin{pmatrix} 15 \\ -8 \\ -13 \\ 12 \end{pmatrix}.

Now, we will check for linear dependence by forming a matrix with these vectors as columns and reducing it to row echelon form.

(b) Hence calculate dim(span(S))\dim(\text{span}(S)) and justify whether span(S)=P3\text{span}(S) = \mathcal{P}_3.

The dimension of the span of SS is simply the number of linearly independent vectors in SS. We will determine this by the rank of the matrix from part (a). To check whether span(S)=P3\text{span}(S) = \mathcal{P}_3, we need to verify if the dimension of the span equals 4, which is the dimension of the vector space of polynomials of degree at most 3, P3\mathcal{P}_3.

(c) Is AA a minimal spanning set for span(S)\text{span}(S)? Justify your answer.

A minimal spanning set has no redundant vectors. If the set AA found in part (a) is linearly independent and spans the same space as SS, then it is a minimal spanning set.


I will now perform the matrix analysis to solve part (a).### (a) Maximal Linearly Independent Subset AA of SS:

The matrix formed by the coefficients of the polynomials in SS has full rank 44. This means all four polynomials are linearly independent. Therefore, the maximal linearly independent subset AA is the entire set SS: A={x3x2x+1,x+1,2x3x2x,15x38x213x+12}.A = \{ x^3 - x^2 - x + 1, -x + 1, 2x^3 - x^2 - x, 15x^3 - 8x^2 - 13x + 12 \}.

(b) Dimension of span(S)\text{span}(S):

Since all four vectors are linearly independent, the dimension of span(S)\text{span}(S) is 4: dim(span(S))=4.\dim(\text{span}(S)) = 4. This shows that span(S)=P3\text{span}(S) = \mathcal{P}_3, because P3\mathcal{P}_3 is the space of all polynomials of degree at most 3, which also has dimension 4.

(c) Is AA a minimal spanning set for span(S)\text{span}(S)?

Yes, AA is a minimal spanning set for span(S)\text{span}(S), because it is both linearly independent and spans the entire space. There are no redundant vectors in AA.


Would you like further details or have any questions? Here are some related questions:

  1. What does it mean for a set of vectors to be linearly independent?
  2. How is the dimension of a vector space defined?
  3. Can the span of fewer than 4 polynomials ever equal P3\mathcal{P}_3?
  4. What is the significance of row-reduction in determining linear independence?
  5. How would the analysis change if one of the polynomials in SS were dependent?

Tip: When finding the dimension of a span, always compare it with the dimension of the ambient space to understand the relationship.

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Math Problem Analysis

Mathematical Concepts

Linear Independence
Span of Vectors
Polynomial Vector Spaces
Dimensionality

Formulas

Linear Dependence Test: Checking if a set of vectors (polynomials) can be expressed as linear combinations of others.

Theorems

If the rank of the matrix equals the number of polynomials, they are linearly independent.
The dimension of span(S) is the number of linearly independent vectors.

Suitable Grade Level

Undergraduate Level (Linear Algebra)