Basis of a Vector Space:
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A basis is a set of linearly independent vectors that span a vector space. Every vector in the space can be expressed uniquely as a linear combination of basis vectors. The number of vectors in a basis is called the dimension of the vector space.
The calculator uses matrix operations to:
Mathematical Process:
Applications: Basis calculation is fundamental in solving systems of linear equations, understanding vector spaces, linear transformations, and many areas of mathematics and physics.
Instructions: Enter vectors separated by semicolons (;), with components separated by commas. Example: "1,2,3;4,5,6" represents two vectors in ℝ³.
Q1: What makes a set of vectors a basis?
A: Two conditions must be met: (1) The vectors must be linearly independent, and (2) They must span the entire vector space.
Q2: Can a vector space have multiple bases?
A: Yes, any vector space (except {0}) has infinitely many bases, but all bases for a given space have the same number of vectors.
Q3: What's the difference between basis and spanning set?
A: A spanning set may have redundant vectors (not linearly independent), while a basis is a minimal spanning set.
Q4: How is basis related to dimension?
A: The dimension of a vector space equals the number of vectors in any of its bases.
Q5: What's the standard basis for ℝⁿ?
A: The set {e₁, e₂, ..., eₙ} where eᵢ has 1 in the ith position and 0 elsewhere.