These examples demonstrate independent polynomials. Click “Load example” above to insert.
| Label | Polynomial | Coefficients [1, x, x², …] |
|---|---|---|
| p₁ | 1 + x | [1, 1, 0] |
| p₂ | x + x^2 | [0, 1, 1] |
| p₃ | 1 + x^2 | [1, 0, 1] |
Formula Used
Given polynomials \(p_1(x),\dots,p_n(x)\), write each as a coefficient column vector \(v_i=[a_{0i},a_{1i},\dots,a_{di}]^\top\) where \(d\) is the maximum degree. Form the matrix \(A=[v_1\,v_2\,\dots\,v_n]\) of size \((d+1)\times n\).
The set \(\{p_i\}\) is linearly independent iff \(\mathrm{rank}(A)=n\). Otherwise, any nonzero vector \(c\) in the nullspace \(\mathcal{N}(A)\) gives a dependence relation \(\sum_{i=1}^n c_i p_i(x)=0\). We compute RREF to find rank, pivots, and a nullspace basis.
How to Use
- Choose the number of polynomials and optionally a degree limit.
- Enter each polynomial using x and powers like x^3.
- Click Compute to build the matrix and reduce to RREF.
- Read the rank, pivot columns, and a dependence relation if applicable.
- Export the results to CSV or PDF for your records.