Spanning sets and polynomials.

In summary, the given polynomials do not span P3 since the coefficient matrix has a rank of 3, indicating that the set of polynomials only spans a 3-dimensional space in P3, whereas P3 is a 4-dimensional vector space. Thus, there are some vectors that cannot be generated by a linear combination of these polynomials.
  • #1
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Homework Statement


Do the polynomials [itex]t^{3} + 2t + 1,t^{2} - t + 2, t^{3} +2, -t^{3} + t^{2} - 5t + 2[/itex] span [itex]P_{3}[/itex]?


Homework Equations


N/A


The Attempt at a Solution


My attempt: let [itex]at^{3} + bt^{2} + ct + d[/itex] be an arbitrary vector in [itex]P_{3}[/itex], then:
[itex]c_{1}(t^{3} + 2t + 1) + c_{2}(t^{2} - t + 2) + c_{3}(t^{3} +2) + c_{4}(-t^{3} + t^{2} - 5t + 2) = at^{3} + bt^{2} + ct + d[/itex]

[itex]c_{1} + c_{3} - c_{4} = a[/itex]
[itex] c_{2} + c_{4} = b[/itex]
[itex]2c_{1} - c_{2} - 5c_{4} = c[/itex]
[itex]c_{1} + 2c_{2} + 2c_{3} + 2c_{4} = d[/itex]
Which becomes the augmented matrix:
[itex]\left[\begin{array}{cccc|c}1&0&1&-1&a\\0&1&0&1&b\\2&-1&0&-5&c\\1&2&2&2&d\end{array}\right][/itex]
Row reducing it, I come to the matrix:
[itex]\left[\begin{array}{cccc|c}1&0&1&-1&a\\0&1&0&1&b\\0&0&1&1&d-a-2b\\0&0&0&0&c-4a-3b+2d\end{array}\right][/itex]

Although the book did a different last row operation in the solution, I came to the same conclusion as they did except they had -2 in the 3x3 and 3x4 position rather than 1 as in my solution. Anyways, the book concludes the system is inconsistent regardless of specific values chosen for a, b, c, and d. But, wouldn't the system be consistent if a = b = c = d = 0? Then the fourth row would be [ 0 0 0 0 | 0], correct?
 
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  • #2
The point is that for any vector you should be able to come up with a linear combination of the coefficients to generate it.

Here, your coefficient matrix reduces to a rank 3 matrix, so your 4 vectors span a 3 dimensional space in P3. P3 is a 4 dimensional vector space and so there are definitely some vectors which you won't be able to generate.

Using an augmented matrix to figure out which vectors are spanned by your set is fine, but given the question "do the vectors span P3" you just need to see that the coefficient matrix is not rank 4 and therefore the set doesn't span P3.
 

1. What is a spanning set?

A spanning set is a set of vectors or polynomials that can be used to represent any other vector or polynomial in a given vector space or polynomial ring. In other words, a spanning set "spans" the entire space, allowing for any vector or polynomial to be written as a linear combination of the spanning set's elements.

2. What is the significance of a spanning set?

A spanning set is important because it helps us understand the structure of a vector space or polynomial ring. It also allows us to determine whether or not a given vector or polynomial is in the space by checking if it can be written as a linear combination of the spanning set's elements.

3. How do you determine if a set of vectors or polynomials is a spanning set?

To determine if a set of vectors or polynomials is a spanning set, you can use the method of Gaussian elimination. If the resulting reduced row-echelon form of the augmented matrix contains a pivot in every row, then the set is a spanning set. Another method is to check if the set is linearly independent and has the same number of elements as the dimension of the vector space or polynomial ring.

4. Can a set of polynomials be a spanning set for a vector space?

Yes, a set of polynomials can be a spanning set for a vector space as long as the polynomials are linearly independent and have the same number of elements as the dimension of the vector space. This is because polynomials can be treated as vectors with coefficients as components.

5. How are spanning sets and bases related?

A spanning set is a set of vectors or polynomials that spans the entire vector space or polynomial ring, while a basis is a linearly independent spanning set. In other words, a basis is a minimal spanning set that can still represent the entire space. Every vector space or polynomial ring has a unique basis, and any other spanning set can be written as a linear combination of the basis elements.

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