Matrix Basis:
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A basis is a set of linearly independent vectors that span a vector space. For matrix spaces, the basis can be found from the pivot columns (column space), non-zero rows of RREF (row space), or solutions to Ax=0 (null space).
The calculator performs matrix operations to find:
Explanation: The calculator performs Gaussian elimination to find the reduced row echelon form (RREF) and extracts the basis vectors accordingly.
Details: Finding a basis helps determine the dimension of matrix spaces, understand linear transformations, and solve systems of linear equations.
Tips: Enter matrix elements separated by commas, rows separated by semicolons. For example: "1,2,3;4,5,6;7,8,9" for a 3×3 matrix.
Q1: What's the difference between column and row space?
A: Column space consists of all linear combinations of columns, while row space consists of all linear combinations of rows.
Q2: How is null space related to these?
A: Null space contains all solutions to Ax=0, and its dimension plus rank equals the number of columns.
Q3: Can the calculator handle complex numbers?
A: This version only handles real numbers. Complex matrices would require additional functionality.
Q4: What if my matrix is not full rank?
A: The calculator will correctly identify dependent vectors and only include independent ones in the basis.
Q5: How accurate are the calculations?
A: Results are limited by floating-point precision. For exact arithmetic, symbolic computation would be needed.