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How it works
Every 2×2 matrix [[a, b], [c, d]] is a linear transformation of the plane: it sends the basis vectors î and ĵ to new positions and drags the whole grid with them. This studio maps the unit square to a parallelogram (whose signed area is the determinant), the unit circle to an ellipse, and — when the eigenvalues of λ² − (a+d)λ + (ad−bc) = 0 are real — draws the invariant eigenvector directions the transform only scales. A determinant above 1 expands area, between 0 and 1 shrinks it, below 0 flips orientation, and exactly 0 collapses the plane onto a line.
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The math, the assumptions, real-world uses, or a code translation — explained for this exact simulation.
Is this 2D linear transformation matrix tool really free?▾
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How accurate are the results?▾
The solver uses established numerical methods, but results are for research and educational purposes and should be validated against experiment or professional review before you rely on them.