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Description:Added matrix equations overview
# Matrix equationsPut content here## Matrix Equations ⏎ A matrix equation is an equation of the form `Ax = b`, where `A` is a matrix and `x` and `b` are vectors. Matrix equations provide a compact way to represent and solve systems of linear equations. ⏎ ### Key Concepts - **Matrix multiplication interpretation**: `Ax` is the linear combination of columns of `A` with weights from `x` - **Existence**: A solution exists when `b` lies in the column space of `A` - **Uniqueness**: The solution is unique when `A` has full column rank (all columns are pivot columns) - **Homogeneous case**: `Ax = 0` always has the trivial solution `x = 0` ⏎ ### Properties - If `A` is square and invertible, `Ax = b` has the unique solution `x = A⁻¹b` - If `A` is not invertible, the system may have no solution or infinitely many solutions - The set of all solutions to `Ax = 0` forms the null space of `A` ⏎ Matrix equations unify the treatment of linear systems and connect algebraic computation with geometric concepts like span, linear independence, and subspaces. # Parents * Linear systems and matrices
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