Linear Algebra - Finding a Basis

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SUMMARY

This discussion focuses on finding a basis for specific vector spaces, particularly the set of 3x3 symmetric real matrices and real polynomials of degree less than or equal to 3. A basis is defined as a linearly independent spanning set of a vector space, allowing any element of the space to be expressed as a linear combination of the basis vectors. An example provided illustrates a basis for the space of all 2x2 matrices using four specific matrices. Understanding these concepts is crucial for solving problems related to vector spaces in linear algebra.

PREREQUISITES
  • Understanding of vector spaces and linear independence
  • Familiarity with the concept of spanning sets
  • Knowledge of matrix representation and operations
  • Basic principles of linear combinations
NEXT STEPS
  • Research the basis of 3x3 symmetric matrices in detail
  • Study the properties of polynomial spaces, specifically polynomials of degree ≤ 3
  • Learn about the Gram-Schmidt process for finding orthonormal bases
  • Explore applications of bases in solving linear equations and transformations
USEFUL FOR

Students and educators in mathematics, particularly those studying linear algebra, as well as anyone seeking to deepen their understanding of vector spaces and their bases.

CornMuffin
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Homework Statement


I am having trouble finding a basis in a given vector space.

I understand how to find a basis of Rn, just find linearly independent vectors that span Rn

But how would i find a basis of the set of 3x3 symmetric real matrices?
Or Find a basis of real polynomials of degree less than or equal to 3?

If i understand more about a basis, then I might be able to do this.

Homework Equations



A set of vectors B in a vector space S is a basis of S iff B is a linearly independent spanning set of S.

The Attempt at a Solution

 
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CornMuffin said:
A set of vectors B in a vector space S is a basis of S iff B is a linearly independent spanning set of S.

... which is just fancy talk for (basically): if you take any element of S, you can express it as a linear combination of the elements of B.

For example, a basis for the space of all 2 x 2 matrices would be
\left\{ <br /> B_1 = \begin{pmatrix} 1 &amp; 0 \\ 0 &amp; 0 \end{pmatrix},<br /> B_2 = \begin{pmatrix} 0 &amp; 1 \\ 0 &amp; 0 \end{pmatrix},<br /> B_3 = \begin{pmatrix} 0 &amp; 0 \\ 1 &amp; 0 \end{pmatrix},<br /> B_4 = \begin{pmatrix} 0 &amp; 0 \\ 0 &amp; 1 \end{pmatrix}<br /> \right\}<br />
because you can write any matrix
A = \begin{pmatrix} a &amp; b \\ c &amp; d \end{pmatrix}
as a linear combination, namely:
A = a B_1 + b B_2 + c B_3 + d B_4
 
Last edited:
thank you, that helps
 

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