diff --git a/packages/doenetml-worker/src/components/linearAlgebra/EigenDecomposition.js b/packages/doenetml-worker/src/components/linearAlgebra/EigenDecomposition.js
index c8f31d870..c0142983d 100644
--- a/packages/doenetml-worker/src/components/linearAlgebra/EigenDecomposition.js
+++ b/packages/doenetml-worker/src/components/linearAlgebra/EigenDecomposition.js
@@ -307,7 +307,8 @@ export default class EigenDecomposition extends BaseComponent {
                     let vectorMag = 0;
                     for (let j = 0; j < arraySize[0]; j++) {
                         let val =
-                            globalDependencyValues.decomposition.vectors[j][i];
+                            globalDependencyValues.decomposition.eigenvectors[i]
+                                .vector[j];
                         vector.push(val);
                         vectorMag += me.math.square(me.math.abs(val));
                     }
diff --git a/packages/doenetml-worker/src/test/linearAlgebra/eigenDecomposition.test.ts b/packages/doenetml-worker/src/test/linearAlgebra/eigenDecomposition.test.ts
new file mode 100644
index 000000000..bcd40c000
--- /dev/null
+++ b/packages/doenetml-worker/src/test/linearAlgebra/eigenDecomposition.test.ts
@@ -0,0 +1,614 @@
+import { describe, expect, it, vi } from "vitest";
+import { createTestCore, returnAllStateVariables } from "../utils/test-core";
+import me from "math-expressions";
+import Core from "../../Core";
+
+const Mock = vi.fn();
+vi.stubGlobal("postMessage", Mock);
+vi.mock("hyperformula");
+
+describe("EigenDecomposition Tag Tests", async () => {
+    function reviveComplex(num: number | { re: number; im: number }) {
+        if (typeof num === "number") {
+            return me.math.complex({ re: num, im: 0 });
+        } else {
+            return me.math.complex({ re: num.re, im: num.im });
+        }
+    }
+
+    it("2x2 matrices", async () => {
+        let core = await createTestCore({
+            doenetML: `
+    <p>A = <math name="A" format="latex">
+      \\begin{pmatrix}
+      1 & 2\\\\
+      2 & 1
+      \\end{pmatrix}
+    </math></p>
+    <p>B = <math name="B" format="latex">
+      \\begin{pmatrix}
+      1 & 2\\\\
+      -2 & 1
+      \\end{pmatrix}
+    </math></p>
+    
+    <eigenDecomposition name="Ad">
+      $A
+    </eigenDecomposition>
+    <eigenDecomposition name="Bd">
+      $B
+    </eigenDecomposition>
+
+    <p name="pAevs">Eigenvalues of A: <aslist name="Aevs"><copy source="Ad.eigenvalues" assignNames="Aev1a Aev2a" /></aslist></p>
+    <p>1st eigenvalue of A: <number copySource="Ad.eigenvalue1" name="Aev1" /></p>
+    <p>2nd eigenvalue of A: <number copySource="Ad.eigenvalue2" name="Aev2" /></p>
+
+    <p name="pAevecs">Eigenvectors of A: <aslist name="Aevecs"><copy source="Ad.eigenvectors" assignNames="Aevec1a Aevec2a" /></aslist></p>
+    <p>1st eigenvector of A: <vector copySource="Ad.eigenvector1" name="Aevec1" /></p>
+    <p>2nd eigenvector of A: <vector copySource="Ad.eigenvector2" name="Aevec2" /></p>
+    <p>1st component of 1st eigenvector of A: <number copySource="Ad.eigenvector1.x" name="Aevec1x" /></p>
+    <p>2nd component of 1st eigenvector of A: <number copySource="Ad.eigenvector1.y" name="Aevec1y" /></p>
+
+    <p name="pBevs">Eigenvalues of B: <aslist name="Bevs"><copy source="Bd.eigenvalues" assignNames="Bev1a Bev2a" /></aslist></p>
+    <p>1st eigenvalue of B: <number copySource="Bd.eigenvalue1" name="Bev1" /></p>
+    <p>2nd eigenvalue of B: <number copySource="Bd.eigenvalue2" name="Bev2" /></p>
+
+    <p name="pBevecs">Eigenvectors of B: <aslist name="Bevecs"><copy source="Bd.eigenvectors" assignNames="Bevec1a Bevec2a" /></aslist></p>
+    <p>1st eigenvector of B: <vector copySource="Bd.eigenvector1" name="Bevec1" /></p>
+    <p>2nd eigenvector of B: <vector copySource="Bd.eigenvector2" name="Bevec2" /></p>
+    <p>1st component of 1st eigenvector of B: <number copySource="Bd.eigenvector1.x" name="Bevec1x" /></p>
+    <p>2nd component of 1st eigenvector of B: <number copySource="Bd.eigenvector1.y" name="Bevec1y" /></p>
+
+    `,
+        });
+
+        let stateVariables = await returnAllStateVariables(core);
+        expect(stateVariables["/pAevs"].stateValues.text).eqls(
+            "Eigenvalues of A: -1, 3",
+        );
+        expect(stateVariables["/Aev1"].stateValues.value).eqls(-1);
+        expect(stateVariables["/Aev2"].stateValues.value).eqls(3);
+
+        expect(stateVariables["/pBevs"].stateValues.text).eqls(
+            "Eigenvalues of B: 1 + 2 i, 1 - 2 i",
+        );
+        expect(stateVariables["/Bev1"].stateValues.text).eqls("1 + 2 i");
+        expect(stateVariables["/Bev2"].stateValues.text).eqls("1 - 2 i");
+
+        expect(stateVariables["/Ad"].stateValues.eigenvalues).eqls([-1, 3]);
+        expect(stateVariables["/Aev1"].stateValues.value).eq(-1);
+        expect(stateVariables["/Aev1a"].stateValues.value).eq(-1);
+        expect(stateVariables["/Aev2"].stateValues.value).eq(3);
+        expect(stateVariables["/Aev2a"].stateValues.value).eq(3);
+
+        expect(
+            stateVariables["/Ad"].stateValues.eigenvectors[0][1] /
+                stateVariables["/Ad"].stateValues.eigenvectors[0][0],
+        ).closeTo(-1, 1e-14);
+        expect(
+            stateVariables["/Ad"].stateValues.eigenvectors[1][1] /
+                stateVariables["/Ad"].stateValues.eigenvectors[1][0],
+        ).closeTo(1, 1e-14);
+
+        expect(
+            stateVariables["/Aevec1"].stateValues.displacement[1] /
+                stateVariables["/Aevec1"].stateValues.displacement[0],
+        ).closeTo(-1, 1e-14);
+        expect(
+            stateVariables["/Aevec1a"].stateValues.displacement[1] /
+                stateVariables["/Aevec1a"].stateValues.displacement[0],
+        ).closeTo(-1, 1e-14);
+        expect(
+            stateVariables["/Aevec2"].stateValues.displacement[1] /
+                stateVariables["/Aevec2"].stateValues.displacement[0],
+        ).closeTo(1, 1e-14);
+        expect(
+            stateVariables["/Aevec2a"].stateValues.displacement[1] /
+                stateVariables["/Aevec2a"].stateValues.displacement[0],
+        ).closeTo(1, 1e-14);
+        expect(
+            stateVariables["/Aevec1y"].stateValues.value /
+                stateVariables["/Aevec1x"].stateValues.value,
+        ).closeTo(-1, 1e-14);
+
+        expect(stateVariables["/Bd"].stateValues.eigenvalues[0].re).closeTo(
+            1,
+            1e-14,
+        );
+        expect(stateVariables["/Bd"].stateValues.eigenvalues[0].im).closeTo(
+            2,
+            1e-14,
+        );
+        expect(stateVariables["/Bd"].stateValues.eigenvalues[1].re).closeTo(
+            1,
+            1e-14,
+        );
+        expect(stateVariables["/Bd"].stateValues.eigenvalues[1].im).closeTo(
+            -2,
+            1e-14,
+        );
+        expect(stateVariables["/Bev1"].stateValues.value.re).closeTo(1, 1e-14);
+        expect(stateVariables["/Bev1"].stateValues.value.im).closeTo(2, 1e-14);
+        expect(stateVariables["/Bev1a"].stateValues.value.re).closeTo(1, 1e-14);
+        expect(stateVariables["/Bev1a"].stateValues.value.im).closeTo(2, 1e-14);
+        expect(stateVariables["/Bev2"].stateValues.value.re).closeTo(1, 1e-14);
+        expect(stateVariables["/Bev2"].stateValues.value.im).closeTo(-2, 1e-14);
+        expect(stateVariables["/Bev2a"].stateValues.value.re).closeTo(1, 1e-14);
+        expect(stateVariables["/Bev2a"].stateValues.value.im).closeTo(
+            -2,
+            1e-14,
+        );
+
+        let ratio = me.math.divide(
+            reviveComplex(stateVariables["/Bd"].stateValues.eigenvectors[0][1]),
+            reviveComplex(stateVariables["/Bd"].stateValues.eigenvectors[0][0]),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(1, 1e-14);
+        ratio = me.math.divide(
+            reviveComplex(stateVariables["/Bd"].stateValues.eigenvectors[1][1]),
+            reviveComplex(stateVariables["/Bd"].stateValues.eigenvectors[1][0]),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(-1, 1e-14);
+
+        ratio = me.math.divide(
+            me
+                .fromAst(stateVariables["/Bevec1"].stateValues.displacement[1])
+                .evaluate_to_constant(),
+            me
+                .fromAst(stateVariables["/Bevec1"].stateValues.displacement[0])
+                .evaluate_to_constant(),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(1, 1e-14);
+
+        ratio = me.math.divide(
+            me
+                .fromAst(stateVariables["/Bevec1a"].stateValues.displacement[1])
+                .evaluate_to_constant(),
+            me
+                .fromAst(stateVariables["/Bevec1a"].stateValues.displacement[0])
+                .evaluate_to_constant(),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(1, 1e-14);
+
+        ratio = me.math.divide(
+            me
+                .fromAst(stateVariables["/Bevec2"].stateValues.displacement[1])
+                .evaluate_to_constant(),
+            me
+                .fromAst(stateVariables["/Bevec2"].stateValues.displacement[0])
+                .evaluate_to_constant(),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(-1, 1e-14);
+
+        ratio = me.math.divide(
+            me
+                .fromAst(stateVariables["/Bevec2a"].stateValues.displacement[1])
+                .evaluate_to_constant(),
+            me
+                .fromAst(stateVariables["/Bevec2a"].stateValues.displacement[0])
+                .evaluate_to_constant(),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(-1, 1e-14);
+
+        ratio = me.math.divide(
+            reviveComplex(stateVariables["/Bevec1y"].stateValues.value),
+            reviveComplex(stateVariables["/Bevec1x"].stateValues.value),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(1, 1e-14);
+    });
+
+    it("2x2 matrices, fractions", async () => {
+        let core = await createTestCore({
+            doenetML: `
+    <p>A = <math name="A" format="latex">
+      \\begin{pmatrix}
+      2/2 & 6/3\\\\
+      8/4 & 5/5
+      \\end{pmatrix}
+    </math></p>
+    <p>B = <math name="B" format="latex">
+      \\begin{pmatrix}
+      2/2 & 6/3\\\\
+      -8/4 & 5/5
+      \\end{pmatrix}
+    </math></p>
+    
+    <eigenDecomposition name="Ad">
+      $A
+    </eigenDecomposition>
+    <eigenDecomposition name="Bd">
+      $B
+    </eigenDecomposition>
+
+    <p name="pAevs">Eigenvalues of A: <aslist name="Aevs"><copy source="Ad.eigenvalues" assignNames="Aev1a Aev2a" /></aslist></p>
+    <p>1st eigenvalue of A: <number copySource="Ad.eigenvalue1" name="Aev1" /></p>
+    <p>2nd eigenvalue of A: <number copySource="Ad.eigenvalue2" name="Aev2" /></p>
+
+    <p name="pAevecs">Eigenvectors of A: <aslist name="Aevecs"><copy source="Ad.eigenvectors" assignNames="Aevec1a Aevec2a" /></aslist></p>
+    <p>1st eigenvector of A: <vector copySource="Ad.eigenvector1" name="Aevec1" /></p>
+    <p>2nd eigenvector of A: <vector copySource="Ad.eigenvector2" name="Aevec2" /></p>
+    <p>1st component of 1st eigenvector of A: <number copySource="Ad.eigenvector1.x" name="Aevec1x" /></p>
+    <p>2nd component of 1st eigenvector of A: <number copySource="Ad.eigenvector1.y" name="Aevec1y" /></p>
+
+    <p name="pBevs">Eigenvalues of B: <aslist name="Bevs"><copy source="Bd.eigenvalues" assignNames="Bev1a Bev2a" /></aslist></p>
+    <p>1st eigenvalue of B: <number copySource="Bd.eigenvalue1" name="Bev1" /></p>
+    <p>2nd eigenvalue of B: <number copySource="Bd.eigenvalue2" name="Bev2" /></p>
+
+    <p name="pBevecs">Eigenvectors of B: <aslist name="Bevecs"><copy source="Bd.eigenvectors" assignNames="Bevec1a Bevec2a" /></aslist></p>
+    <p>1st eigenvector of B: <vector copySource="Bd.eigenvector1" name="Bevec1" /></p>
+    <p>2nd eigenvector of B: <vector copySource="Bd.eigenvector2" name="Bevec2" /></p>
+    <p>1st component of 1st eigenvector of B: <number copySource="Bd.eigenvector1.x" name="Bevec1x" /></p>
+    <p>2nd component of 1st eigenvector of B: <number copySource="Bd.eigenvector1.y" name="Bevec1y" /></p>
+  `,
+        });
+
+        let stateVariables = await returnAllStateVariables(core);
+        expect(stateVariables["/pAevs"].stateValues.text).eqls(
+            "Eigenvalues of A: -1, 3",
+        );
+        expect(stateVariables["/Aev1"].stateValues.value).eqls(-1);
+        expect(stateVariables["/Aev2"].stateValues.value).eqls(3);
+
+        expect(stateVariables["/pBevs"].stateValues.text).eqls(
+            "Eigenvalues of B: 1 + 2 i, 1 - 2 i",
+        );
+        expect(stateVariables["/Bev1"].stateValues.text).eqls("1 + 2 i");
+        expect(stateVariables["/Bev2"].stateValues.text).eqls("1 - 2 i");
+
+        expect(stateVariables["/Ad"].stateValues.eigenvalues).eqls([-1, 3]);
+        expect(stateVariables["/Aev1"].stateValues.value).eq(-1);
+        expect(stateVariables["/Aev1a"].stateValues.value).eq(-1);
+        expect(stateVariables["/Aev2"].stateValues.value).eq(3);
+        expect(stateVariables["/Aev2a"].stateValues.value).eq(3);
+
+        expect(
+            stateVariables["/Ad"].stateValues.eigenvectors[0][1] /
+                stateVariables["/Ad"].stateValues.eigenvectors[0][0],
+        ).closeTo(-1, 1e-14);
+        expect(
+            stateVariables["/Ad"].stateValues.eigenvectors[1][1] /
+                stateVariables["/Ad"].stateValues.eigenvectors[1][0],
+        ).closeTo(1, 1e-14);
+
+        expect(
+            stateVariables["/Aevec1"].stateValues.displacement[1] /
+                stateVariables["/Aevec1"].stateValues.displacement[0],
+        ).closeTo(-1, 1e-14);
+        expect(
+            stateVariables["/Aevec1a"].stateValues.displacement[1] /
+                stateVariables["/Aevec1a"].stateValues.displacement[0],
+        ).closeTo(-1, 1e-14);
+        expect(
+            stateVariables["/Aevec2"].stateValues.displacement[1] /
+                stateVariables["/Aevec2"].stateValues.displacement[0],
+        ).closeTo(1, 1e-14);
+        expect(
+            stateVariables["/Aevec2a"].stateValues.displacement[1] /
+                stateVariables["/Aevec2a"].stateValues.displacement[0],
+        ).closeTo(1, 1e-14);
+        expect(
+            stateVariables["/Aevec1y"].stateValues.value /
+                stateVariables["/Aevec1x"].stateValues.value,
+        ).closeTo(-1, 1e-14);
+
+        expect(stateVariables["/Bd"].stateValues.eigenvalues[0].re).closeTo(
+            1,
+            1e-14,
+        );
+        expect(stateVariables["/Bd"].stateValues.eigenvalues[0].im).closeTo(
+            2,
+            1e-14,
+        );
+        expect(stateVariables["/Bd"].stateValues.eigenvalues[1].re).closeTo(
+            1,
+            1e-14,
+        );
+        expect(stateVariables["/Bd"].stateValues.eigenvalues[1].im).closeTo(
+            -2,
+            1e-14,
+        );
+        expect(stateVariables["/Bev1"].stateValues.value.re).closeTo(1, 1e-14);
+        expect(stateVariables["/Bev1"].stateValues.value.im).closeTo(2, 1e-14);
+        expect(stateVariables["/Bev1a"].stateValues.value.re).closeTo(1, 1e-14);
+        expect(stateVariables["/Bev1a"].stateValues.value.im).closeTo(2, 1e-14);
+        expect(stateVariables["/Bev2"].stateValues.value.re).closeTo(1, 1e-14);
+        expect(stateVariables["/Bev2"].stateValues.value.im).closeTo(-2, 1e-14);
+        expect(stateVariables["/Bev2a"].stateValues.value.re).closeTo(1, 1e-14);
+        expect(stateVariables["/Bev2a"].stateValues.value.im).closeTo(
+            -2,
+            1e-14,
+        );
+
+        let ratio = me.math.divide(
+            reviveComplex(stateVariables["/Bd"].stateValues.eigenvectors[0][1]),
+            reviveComplex(stateVariables["/Bd"].stateValues.eigenvectors[0][0]),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(1, 1e-14);
+        ratio = me.math.divide(
+            reviveComplex(stateVariables["/Bd"].stateValues.eigenvectors[1][1]),
+            reviveComplex(stateVariables["/Bd"].stateValues.eigenvectors[1][0]),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(-1, 1e-14);
+
+        ratio = me.math.divide(
+            me
+                .fromAst(stateVariables["/Bevec1"].stateValues.displacement[1])
+                .evaluate_to_constant(),
+            me
+                .fromAst(stateVariables["/Bevec1"].stateValues.displacement[0])
+                .evaluate_to_constant(),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(1, 1e-14);
+
+        ratio = me.math.divide(
+            me
+                .fromAst(stateVariables["/Bevec1a"].stateValues.displacement[1])
+                .evaluate_to_constant(),
+            me
+                .fromAst(stateVariables["/Bevec1a"].stateValues.displacement[0])
+                .evaluate_to_constant(),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(1, 1e-14);
+
+        ratio = me.math.divide(
+            me
+                .fromAst(stateVariables["/Bevec2"].stateValues.displacement[1])
+                .evaluate_to_constant(),
+            me
+                .fromAst(stateVariables["/Bevec2"].stateValues.displacement[0])
+                .evaluate_to_constant(),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(-1, 1e-14);
+
+        ratio = me.math.divide(
+            me
+                .fromAst(stateVariables["/Bevec2a"].stateValues.displacement[1])
+                .evaluate_to_constant(),
+            me
+                .fromAst(stateVariables["/Bevec2a"].stateValues.displacement[0])
+                .evaluate_to_constant(),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(-1, 1e-14);
+
+        ratio = me.math.divide(
+            reviveComplex(stateVariables["/Bevec1y"].stateValues.value),
+            reviveComplex(stateVariables["/Bevec1x"].stateValues.value),
+        );
+        expect(ratio.re).closeTo(0, 1e-14);
+        expect(ratio.im).closeTo(1, 1e-14);
+    });
+
+    it("3x3 matrices with real eigenvectors", async () => {
+        let core = await createTestCore({
+            doenetML: `
+<matrix name="A">
+    <row>1 2 3</row>
+    <row>4 5 6</row>
+    <row>7 8 9</row>
+</matrix>
+<eigenDecomposition name="eig">$A</eigenDecomposition>
+        `,
+        });
+
+        const stateVariables = await returnAllStateVariables(core);
+        const eigvals = stateVariables["/eig"].stateValues.eigenvalues;
+        const eigvecs = stateVariables["/eig"].stateValues.eigenvectors;
+        expect(eigvals[0]).closeTo(0, 1e-14);
+        const ev0x = 1;
+        const ev0y = -2;
+        const ev0z = 1;
+        expect(eigvecs[0][0] / eigvecs[0][1]).closeTo(ev0x / ev0y, 1e-13);
+        expect(eigvecs[0][0] / eigvecs[0][2]).closeTo(ev0x / ev0z, 1e-13);
+
+        expect(eigvals[1]).closeTo((-3 / 2) * (Math.sqrt(33) - 5), 1e-14);
+        const ev1x = (1 / 22) * (-11 - 3 * Math.sqrt(33));
+        const ev1y = (1 / 44) * (11 - 3 * Math.sqrt(33));
+        const ev1z = 1;
+        expect(eigvecs[1][0] / eigvecs[1][1]).closeTo(ev1x / ev1y, 1e-13);
+        expect(eigvecs[1][0] / eigvecs[1][2]).closeTo(ev1x / ev1z, 1e-13);
+
+        expect(eigvals[2]).closeTo((3 / 2) * (5 + Math.sqrt(33)), 1e-14);
+        const ev2x = (1 / 22) * (-11 + 3 * Math.sqrt(33));
+        const ev2y = (1 / 44) * (11 + 3 * Math.sqrt(33));
+        const ev2z = 1;
+        expect(eigvecs[2][0] / eigvecs[2][1]).closeTo(ev2x / ev2y, 1e-13);
+        expect(eigvecs[2][0] / eigvecs[2][2]).closeTo(ev2x / ev2z, 1e-13);
+    });
+
+    async function check_eigendecomposition({
+        evecs,
+        evals,
+        core,
+        decompositionName,
+    }: {
+        evecs: any[][];
+        evals: any[];
+        core: Core;
+        decompositionName: string;
+    }) {
+        const stateVariables = await returnAllStateVariables(core);
+        const actualEvals =
+            stateVariables[decompositionName].stateValues.eigenvalues.map(
+                reviveComplex,
+            );
+        const actualEvecs = stateVariables[
+            decompositionName
+        ].stateValues.eigenvectors.map((v) => v.map(reviveComplex));
+        const n = evecs.length;
+        expect(actualEvals.length).eqls(n);
+        expect(actualEvecs.length).eqls(n);
+
+        for (let i = 0; i < n; i++) {
+            expect(actualEvals[i].re).closeTo(evals[i].re, 1e-12);
+            expect(actualEvals[i].im).closeTo(evals[i].im, 1e-12);
+
+            for (let j = 1; j < n; j++) {
+                let ratio = me.math.divide(evecs[i][0], evecs[i][j]);
+                let actualRatio = me.math.divide(
+                    actualEvecs[i][0],
+                    actualEvecs[i][j],
+                );
+                expect(actualRatio.re).closeTo(ratio.re, 1e-12);
+                expect(actualRatio.im).closeTo(ratio.im, 1e-12);
+            }
+        }
+    }
+
+    it("3x3 matrix, center and spirals", async () => {
+        let core = await createTestCore({
+            doenetML: `
+            
+<number name="a11">-9</number>
+<number name="a12">-4</number>
+<number name="a22">-8</number>
+<number name="a23">9</number>
+<number name="a31">-1</number>
+<number name="a33">-5</number>
+
+<number name='c'>-(2*$a11 *$a22 *$a33 +$a11 *$a22 *($a11 +$a22 )+$a11 *$a33 *($a11 +$a33 )+$a22 *$a33 *($a22 +$a33 ) - $a12 *$a23 *$a31 )</number>
+<number name='b' >$a31 *($a11 +$a33 )+$a12 *($a11 +$a22 )+$a23 *($a22 +$a33 )</number>
+<number name='sqrt_arg' >$b **3/27 + $c **2/4</number>
+<number name='parCenter' displayDigits="14" >$b /(3*($c /2 + sqrt($sqrt_arg ))**(1/3)) - ($c /2 + sqrt($sqrt_arg ))**(1/3)</number>
+
+<number name="parStableSpiral">$parCenter + 0.1</number>
+<number name="parUnstableSpiral">$parCenter - 0.1</number>
+
+<math name="A_center" format="latex">\\begin{pmatrix}
+    $a11 & $a12 & $parCenter\\\\
+    $parCenter & $a22 & $a23\\\\
+    $a31 & $parCenter & $a33
+\\end{pmatrix}</math>
+<eigenDecomposition name="Ad_center">$A_center</eigenDecomposition>
+
+<math name="A_stableSpiral" format="latex">\\begin{pmatrix}
+    $a11 & $a12 & $parStableSpiral\\\\
+    $parStableSpiral & $a22 & $a23\\\\
+    $a31 & $parStableSpiral & $a33
+\\end{pmatrix}</math>
+<eigenDecomposition name="Ad_stable">$A_stableSpiral</eigenDecomposition>
+
+
+<math name="A_unstableSpiral" format="latex">\\begin{pmatrix}
+    $a11 & $a12 & $parUnstableSpiral\\\\
+    $parUnstableSpiral & $a22 & $a23\\\\
+    $a31 & $parUnstableSpiral & $a33
+\\end{pmatrix}</math>
+<eigenDecomposition name="Ad_unstable">$A_unstableSpiral</eigenDecomposition>
+
+        `,
+        });
+
+        // Center
+        let evals = [me.math.complex({ re: 0, im: 14.78846823004614 })];
+        evals.push(me.math.conj(evals[0]));
+        evals.push(me.math.complex({ re: -22, im: 0 }));
+
+        let evecs = [
+            [
+                me.math.complex({
+                    re: -0.426486035260864,
+                    im: -0.270682079730474,
+                }),
+                me.math.complex({ re: 0.627291349345459, im: 0 }),
+                me.math.complex({
+                    re: -0.173343062597144,
+                    im: 0.566832090769437,
+                }),
+            ],
+        ];
+        evecs.push(evecs[0].map((v) => me.math.conj(v)));
+        evecs.push(
+            [-0.725759948499824, -0.487701621853287, -0.485200603044974].map(
+                (v) => me.math.complex({ re: v, im: 0 }),
+            ),
+        );
+        await check_eigendecomposition({
+            evecs,
+            evals,
+            core,
+            decompositionName: "/Ad_center",
+        });
+
+        // Stable spiral
+        evals = [
+            me.math.complex({ re: -0.048287227932923, im: 14.703099997319454 }),
+            me.math.complex({
+                re: -0.048287227932923,
+                im: -14.703099997319454,
+            }),
+            me.math.complex({ re: -21.903425544134173, im: 0 }),
+        ];
+        evecs = [
+            [
+                me.math.complex({
+                    re: -0.427048386266709,
+                    im: -0.269189626634008,
+                }),
+                me.math.complex({ re: 0.627621340142377, im: 0 }),
+                me.math.complex({
+                    re: -0.172635887510845,
+                    im: 0.566969950209772,
+                }),
+            ],
+        ];
+        evecs.push(evecs[0].map((v) => me.math.conj(v)));
+        evecs.push(
+            [-0.726546459838247, -0.48712036969194, -0.484607044034337].map(
+                (v) => me.math.complex({ re: v, im: 0 }),
+            ),
+        );
+
+        await check_eigendecomposition({
+            evecs,
+            evals,
+            core,
+            decompositionName: "/Ad_stable",
+        });
+
+        // Unstable spiral
+        evals = [
+            me.math.complex({ re: 0.048306535292557, im: 14.873845525216694 }),
+            me.math.complex({ re: 0.048306535292557, im: -14.873845525216694 }),
+            me.math.complex({ re: -22.0966130705851, im: 0 }),
+        ];
+        evecs = [
+            [
+                me.math.complex({
+                    re: -0.425927192657446,
+                    im: -0.272156678632516,
+                }),
+                me.math.complex({ re: 0.626965239909586, im: 0 }),
+                me.math.complex({
+                    re: -0.174042517907594,
+                    im: 0.566692649269571,
+                }),
+            ],
+        ];
+        evecs.push(evecs[0].map((v) => me.math.conj(v)));
+        evecs.push(
+            [-0.724981295406814, -0.488275620239871, -0.485787031516515].map(
+                (v) => me.math.complex({ re: v, im: 0 }),
+            ),
+        );
+
+        await check_eigendecomposition({
+            evecs,
+            evals,
+            core,
+            decompositionName: "/Ad_unstable",
+        });
+    });
+});
diff --git a/packages/test-cypress/cypress/e2e/linearAlgebra/eigenDecomposition.cy.js b/packages/test-cypress/cypress/e2e/linearAlgebra/eigenDecomposition.cy.js
deleted file mode 100644
index d46fd850a..000000000
--- a/packages/test-cypress/cypress/e2e/linearAlgebra/eigenDecomposition.cy.js
+++ /dev/null
@@ -1,503 +0,0 @@
-import me from "math-expressions";
-import { cesc } from "@doenet/utils";
-
-describe("EigenDecomposition Tag Tests", function () {
-    beforeEach(() => {
-        cy.clearIndexedDB();
-        cy.visit("/");
-    });
-
-    it("2x2 matrices", () => {
-        cy.window().then(async (win) => {
-            win.postMessage(
-                {
-                    doenetML: `
-    <text>a</text>
-    <p>A = <math name="A" format="latex">
-      \\begin{pmatrix}
-      1 & 2\\\\
-      2 & 1
-      \\end{pmatrix}
-    </math></p>
-    <p>B = <math name="B" format="latex">
-      \\begin{pmatrix}
-      1 & 2\\\\
-      -2 & 1
-      \\end{pmatrix}
-    </math></p>
-    
-    <eigenDecomposition name="Ad">
-      $A
-    </eigenDecomposition>
-    <eigenDecomposition name="Bd">
-      $B
-    </eigenDecomposition>
-
-    <p name="pAevs">Eigenvalues of A: <aslist name="Aevs"><copy source="Ad.eigenvalues" assignNames="Aev1a Aev2a" /></aslist></p>
-    <p>1st eigenvalue of A: <number copySource="Ad.eigenvalue1" name="Aev1" /></p>
-    <p>2nd eigenvalue of A: <number copySource="Ad.eigenvalue2" name="Aev2" /></p>
-
-    <p name="pAevecs">Eigenvectors of A: <aslist name="Aevecs"><copy source="Ad.eigenvectors" assignNames="Aevec1a Aevec2a" /></aslist></p>
-    <p>1st eigenvector of A: <vector copySource="Ad.eigenvector1" name="Aevec1" /></p>
-    <p>2nd eigenvector of A: <vector copySource="Ad.eigenvector2" name="Aevec2" /></p>
-    <p>1st component of 1st eigenvector of A: <number copySource="Ad.eigenvector1.x" name="Aevec1x" /></p>
-    <p>2nd component of 1st eigenvector of A: <number copySource="Ad.eigenvector1.y" name="Aevec1y" /></p>
-
-    <p name="pBevs">Eigenvalues of B: <aslist name="Bevs"><copy source="Bd.eigenvalues" assignNames="Bev1a Bev2a" /></aslist></p>
-    <p>1st eigenvalue of B: <number copySource="Bd.eigenvalue1" name="Bev1" /></p>
-    <p>2nd eigenvalue of B: <number copySource="Bd.eigenvalue2" name="Bev2" /></p>
-
-    <p name="pBevecs">Eigenvectors of B: <aslist name="Bevecs"><copy source="Bd.eigenvectors" assignNames="Bevec1a Bevec2a" /></aslist></p>
-    <p>1st eigenvector of B: <vector copySource="Bd.eigenvector1" name="Bevec1" /></p>
-    <p>2nd eigenvector of B: <vector copySource="Bd.eigenvector2" name="Bevec2" /></p>
-    <p>1st component of 1st eigenvector of B: <number copySource="Bd.eigenvector1.x" name="Bevec1x" /></p>
-    <p>2nd component of 1st eigenvector of B: <number copySource="Bd.eigenvector1.y" name="Bevec1y" /></p>
-
-  `,
-                },
-                "*",
-            );
-        });
-
-        cy.get(cesc("#\\/_text1")).should("have.text", "a"); // to wait for page to load
-
-        cy.get(cesc("#\\/pAevs")).should(
-            "have.text",
-            "Eigenvalues of A: -1, 3",
-        );
-        cy.get(cesc("#\\/Aev1")).should("have.text", "-1");
-        cy.get(cesc("#\\/Aev2")).should("have.text", "3");
-
-        cy.get(cesc("#\\/pBevs")).should(
-            "have.text",
-            "Eigenvalues of B: 1 + 2 i, 1 - 2 i",
-        );
-        cy.get(cesc("#\\/Bev1")).should("have.text", "1 + 2 i");
-        cy.get(cesc("#\\/Bev2")).should("have.text", "1 - 2 i");
-
-        cy.window().then(async (win) => {
-            let stateVariables = await win.returnAllStateVariables1();
-            expect(stateVariables["/Ad"].stateValues.eigenvalues).eqls([-1, 3]);
-            expect(stateVariables["/Aev1"].stateValues.value).eq(-1);
-            expect(stateVariables["/Aev1a"].stateValues.value).eq(-1);
-            expect(stateVariables["/Aev2"].stateValues.value).eq(3);
-            expect(stateVariables["/Aev2a"].stateValues.value).eq(3);
-
-            expect(
-                stateVariables["/Ad"].stateValues.eigenvectors[0][1] /
-                    stateVariables["/Ad"].stateValues.eigenvectors[0][0],
-            ).closeTo(-1, 1e-14);
-            expect(
-                stateVariables["/Ad"].stateValues.eigenvectors[1][1] /
-                    stateVariables["/Ad"].stateValues.eigenvectors[1][0],
-            ).closeTo(1, 1e-14);
-
-            expect(
-                stateVariables["/Aevec1"].stateValues.displacement[1] /
-                    stateVariables["/Aevec1"].stateValues.displacement[0],
-            ).closeTo(-1, 1e-14);
-            expect(
-                stateVariables["/Aevec1a"].stateValues.displacement[1] /
-                    stateVariables["/Aevec1a"].stateValues.displacement[0],
-            ).closeTo(-1, 1e-14);
-            expect(
-                stateVariables["/Aevec2"].stateValues.displacement[1] /
-                    stateVariables["/Aevec2"].stateValues.displacement[0],
-            ).closeTo(1, 1e-14);
-            expect(
-                stateVariables["/Aevec2a"].stateValues.displacement[1] /
-                    stateVariables["/Aevec2a"].stateValues.displacement[0],
-            ).closeTo(1, 1e-14);
-            expect(
-                stateVariables["/Aevec1y"].stateValues.value /
-                    stateVariables["/Aevec1x"].stateValues.value,
-            ).closeTo(-1, 1e-14);
-
-            expect(stateVariables["/Bd"].stateValues.eigenvalues[0].re).closeTo(
-                1,
-                1e-14,
-            );
-            expect(stateVariables["/Bd"].stateValues.eigenvalues[0].im).closeTo(
-                2,
-                1e-14,
-            );
-            expect(stateVariables["/Bd"].stateValues.eigenvalues[1].re).closeTo(
-                1,
-                1e-14,
-            );
-            expect(stateVariables["/Bd"].stateValues.eigenvalues[1].im).closeTo(
-                -2,
-                1e-14,
-            );
-            expect(stateVariables["/Bev1"].stateValues.value.re).closeTo(
-                1,
-                1e-14,
-            );
-            expect(stateVariables["/Bev1"].stateValues.value.im).closeTo(
-                2,
-                1e-14,
-            );
-            expect(stateVariables["/Bev1a"].stateValues.value.re).closeTo(
-                1,
-                1e-14,
-            );
-            expect(stateVariables["/Bev1a"].stateValues.value.im).closeTo(
-                2,
-                1e-14,
-            );
-            expect(stateVariables["/Bev2"].stateValues.value.re).closeTo(
-                1,
-                1e-14,
-            );
-            expect(stateVariables["/Bev2"].stateValues.value.im).closeTo(
-                -2,
-                1e-14,
-            );
-            expect(stateVariables["/Bev2a"].stateValues.value.re).closeTo(
-                1,
-                1e-14,
-            );
-            expect(stateVariables["/Bev2a"].stateValues.value.im).closeTo(
-                -2,
-                1e-14,
-            );
-
-            let ratio = me.math.divide(
-                reviveComplex(
-                    stateVariables["/Bd"].stateValues.eigenvectors[0][1],
-                ),
-                reviveComplex(
-                    stateVariables["/Bd"].stateValues.eigenvectors[0][0],
-                ),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(1, 1e-14);
-            ratio = me.math.divide(
-                reviveComplex(
-                    stateVariables["/Bd"].stateValues.eigenvectors[1][1],
-                ),
-                reviveComplex(
-                    stateVariables["/Bd"].stateValues.eigenvectors[1][0],
-                ),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(-1, 1e-14);
-
-            ratio = me.math.divide(
-                me
-                    .fromAst(
-                        stateVariables["/Bevec1"].stateValues.displacement[1],
-                    )
-                    .evaluate_to_constant(),
-                me
-                    .fromAst(
-                        stateVariables["/Bevec1"].stateValues.displacement[0],
-                    )
-                    .evaluate_to_constant(),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(1, 1e-14);
-
-            ratio = me.math.divide(
-                me
-                    .fromAst(
-                        stateVariables["/Bevec1a"].stateValues.displacement[1],
-                    )
-                    .evaluate_to_constant(),
-                me
-                    .fromAst(
-                        stateVariables["/Bevec1a"].stateValues.displacement[0],
-                    )
-                    .evaluate_to_constant(),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(1, 1e-14);
-
-            ratio = me.math.divide(
-                me
-                    .fromAst(
-                        stateVariables["/Bevec2"].stateValues.displacement[1],
-                    )
-                    .evaluate_to_constant(),
-                me
-                    .fromAst(
-                        stateVariables["/Bevec2"].stateValues.displacement[0],
-                    )
-                    .evaluate_to_constant(),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(-1, 1e-14);
-
-            ratio = me.math.divide(
-                me
-                    .fromAst(
-                        stateVariables["/Bevec2a"].stateValues.displacement[1],
-                    )
-                    .evaluate_to_constant(),
-                me
-                    .fromAst(
-                        stateVariables["/Bevec2a"].stateValues.displacement[0],
-                    )
-                    .evaluate_to_constant(),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(-1, 1e-14);
-
-            ratio = me.math.divide(
-                reviveComplex(stateVariables["/Bevec1y"].stateValues.value),
-                reviveComplex(stateVariables["/Bevec1x"].stateValues.value),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(1, 1e-14);
-        });
-    });
-
-    it("2x2 matrices, fractions", () => {
-        cy.window().then(async (win) => {
-            win.postMessage(
-                {
-                    doenetML: `
-    <text>a</text>
-    <p>A = <math name="A" format="latex">
-      \\begin{pmatrix}
-      2/2 & 6/3\\\\
-      8/4 & 5/5
-      \\end{pmatrix}
-    </math></p>
-    <p>B = <math name="B" format="latex">
-      \\begin{pmatrix}
-      2/2 & 6/3\\\\
-      -8/4 & 5/5
-      \\end{pmatrix}
-    </math></p>
-    
-    <eigenDecomposition name="Ad">
-      $A
-    </eigenDecomposition>
-    <eigenDecomposition name="Bd">
-      $B
-    </eigenDecomposition>
-
-    <p name="pAevs">Eigenvalues of A: <aslist name="Aevs"><copy source="Ad.eigenvalues" assignNames="Aev1a Aev2a" /></aslist></p>
-    <p>1st eigenvalue of A: <number copySource="Ad.eigenvalue1" name="Aev1" /></p>
-    <p>2nd eigenvalue of A: <number copySource="Ad.eigenvalue2" name="Aev2" /></p>
-
-    <p name="pAevecs">Eigenvectors of A: <aslist name="Aevecs"><copy source="Ad.eigenvectors" assignNames="Aevec1a Aevec2a" /></aslist></p>
-    <p>1st eigenvector of A: <vector copySource="Ad.eigenvector1" name="Aevec1" /></p>
-    <p>2nd eigenvector of A: <vector copySource="Ad.eigenvector2" name="Aevec2" /></p>
-    <p>1st component of 1st eigenvector of A: <number copySource="Ad.eigenvector1.x" name="Aevec1x" /></p>
-    <p>2nd component of 1st eigenvector of A: <number copySource="Ad.eigenvector1.y" name="Aevec1y" /></p>
-
-    <p name="pBevs">Eigenvalues of B: <aslist name="Bevs"><copy source="Bd.eigenvalues" assignNames="Bev1a Bev2a" /></aslist></p>
-    <p>1st eigenvalue of B: <number copySource="Bd.eigenvalue1" name="Bev1" /></p>
-    <p>2nd eigenvalue of B: <number copySource="Bd.eigenvalue2" name="Bev2" /></p>
-
-    <p name="pBevecs">Eigenvectors of B: <aslist name="Bevecs"><copy source="Bd.eigenvectors" assignNames="Bevec1a Bevec2a" /></aslist></p>
-    <p>1st eigenvector of B: <vector copySource="Bd.eigenvector1" name="Bevec1" /></p>
-    <p>2nd eigenvector of B: <vector copySource="Bd.eigenvector2" name="Bevec2" /></p>
-    <p>1st component of 1st eigenvector of B: <number copySource="Bd.eigenvector1.x" name="Bevec1x" /></p>
-    <p>2nd component of 1st eigenvector of B: <number copySource="Bd.eigenvector1.y" name="Bevec1y" /></p>
-
-  `,
-                },
-                "*",
-            );
-        });
-
-        cy.get(cesc("#\\/_text1")).should("have.text", "a"); // to wait for page to load
-
-        cy.get(cesc("#\\/pAevs")).should(
-            "have.text",
-            "Eigenvalues of A: -1, 3",
-        );
-        cy.get(cesc("#\\/Aev1")).should("have.text", "-1");
-        cy.get(cesc("#\\/Aev2")).should("have.text", "3");
-
-        cy.get(cesc("#\\/pBevs")).should(
-            "have.text",
-            "Eigenvalues of B: 1 + 2 i, 1 - 2 i",
-        );
-        cy.get(cesc("#\\/Bev1")).should("have.text", "1 + 2 i");
-        cy.get(cesc("#\\/Bev2")).should("have.text", "1 - 2 i");
-
-        cy.window().then(async (win) => {
-            let stateVariables = await win.returnAllStateVariables1();
-            expect(stateVariables["/Ad"].stateValues.eigenvalues).eqls([-1, 3]);
-            expect(stateVariables["/Aev1"].stateValues.value).eq(-1);
-            expect(stateVariables["/Aev1a"].stateValues.value).eq(-1);
-            expect(stateVariables["/Aev2"].stateValues.value).eq(3);
-            expect(stateVariables["/Aev2a"].stateValues.value).eq(3);
-
-            expect(
-                stateVariables["/Ad"].stateValues.eigenvectors[0][1] /
-                    stateVariables["/Ad"].stateValues.eigenvectors[0][0],
-            ).closeTo(-1, 1e-14);
-            expect(
-                stateVariables["/Ad"].stateValues.eigenvectors[1][1] /
-                    stateVariables["/Ad"].stateValues.eigenvectors[1][0],
-            ).closeTo(1, 1e-14);
-
-            expect(
-                stateVariables["/Aevec1"].stateValues.displacement[1] /
-                    stateVariables["/Aevec1"].stateValues.displacement[0],
-            ).closeTo(-1, 1e-14);
-            expect(
-                stateVariables["/Aevec1a"].stateValues.displacement[1] /
-                    stateVariables["/Aevec1a"].stateValues.displacement[0],
-            ).closeTo(-1, 1e-14);
-            expect(
-                stateVariables["/Aevec2"].stateValues.displacement[1] /
-                    stateVariables["/Aevec2"].stateValues.displacement[0],
-            ).closeTo(1, 1e-14);
-            expect(
-                stateVariables["/Aevec2a"].stateValues.displacement[1] /
-                    stateVariables["/Aevec2a"].stateValues.displacement[0],
-            ).closeTo(1, 1e-14);
-            expect(
-                stateVariables["/Aevec1y"].stateValues.value /
-                    stateVariables["/Aevec1x"].stateValues.value,
-            ).closeTo(-1, 1e-14);
-
-            expect(stateVariables["/Bd"].stateValues.eigenvalues[0].re).closeTo(
-                1,
-                1e-14,
-            );
-            expect(stateVariables["/Bd"].stateValues.eigenvalues[0].im).closeTo(
-                2,
-                1e-14,
-            );
-            expect(stateVariables["/Bd"].stateValues.eigenvalues[1].re).closeTo(
-                1,
-                1e-14,
-            );
-            expect(stateVariables["/Bd"].stateValues.eigenvalues[1].im).closeTo(
-                -2,
-                1e-14,
-            );
-            expect(stateVariables["/Bev1"].stateValues.value.re).closeTo(
-                1,
-                1e-14,
-            );
-            expect(stateVariables["/Bev1"].stateValues.value.im).closeTo(
-                2,
-                1e-14,
-            );
-            expect(stateVariables["/Bev1a"].stateValues.value.re).closeTo(
-                1,
-                1e-14,
-            );
-            expect(stateVariables["/Bev1a"].stateValues.value.im).closeTo(
-                2,
-                1e-14,
-            );
-            expect(stateVariables["/Bev2"].stateValues.value.re).closeTo(
-                1,
-                1e-14,
-            );
-            expect(stateVariables["/Bev2"].stateValues.value.im).closeTo(
-                -2,
-                1e-14,
-            );
-            expect(stateVariables["/Bev2a"].stateValues.value.re).closeTo(
-                1,
-                1e-14,
-            );
-            expect(stateVariables["/Bev2a"].stateValues.value.im).closeTo(
-                -2,
-                1e-14,
-            );
-
-            let ratio = me.math.divide(
-                reviveComplex(
-                    stateVariables["/Bd"].stateValues.eigenvectors[0][1],
-                ),
-                reviveComplex(
-                    stateVariables["/Bd"].stateValues.eigenvectors[0][0],
-                ),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(1, 1e-14);
-            ratio = me.math.divide(
-                reviveComplex(
-                    stateVariables["/Bd"].stateValues.eigenvectors[1][1],
-                ),
-                reviveComplex(
-                    stateVariables["/Bd"].stateValues.eigenvectors[1][0],
-                ),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(-1, 1e-14);
-
-            ratio = me.math.divide(
-                me
-                    .fromAst(
-                        stateVariables["/Bevec1"].stateValues.displacement[1],
-                    )
-                    .evaluate_to_constant(),
-                me
-                    .fromAst(
-                        stateVariables["/Bevec1"].stateValues.displacement[0],
-                    )
-                    .evaluate_to_constant(),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(1, 1e-14);
-
-            ratio = me.math.divide(
-                me
-                    .fromAst(
-                        stateVariables["/Bevec1a"].stateValues.displacement[1],
-                    )
-                    .evaluate_to_constant(),
-                me
-                    .fromAst(
-                        stateVariables["/Bevec1a"].stateValues.displacement[0],
-                    )
-                    .evaluate_to_constant(),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(1, 1e-14);
-
-            ratio = me.math.divide(
-                me
-                    .fromAst(
-                        stateVariables["/Bevec2"].stateValues.displacement[1],
-                    )
-                    .evaluate_to_constant(),
-                me
-                    .fromAst(
-                        stateVariables["/Bevec2"].stateValues.displacement[0],
-                    )
-                    .evaluate_to_constant(),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(-1, 1e-14);
-
-            ratio = me.math.divide(
-                me
-                    .fromAst(
-                        stateVariables["/Bevec2a"].stateValues.displacement[1],
-                    )
-                    .evaluate_to_constant(),
-                me
-                    .fromAst(
-                        stateVariables["/Bevec2a"].stateValues.displacement[0],
-                    )
-                    .evaluate_to_constant(),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(-1, 1e-14);
-
-            ratio = me.math.divide(
-                reviveComplex(stateVariables["/Bevec1y"].stateValues.value),
-                reviveComplex(stateVariables["/Bevec1x"].stateValues.value),
-            );
-            expect(ratio.re).closeTo(0, 1e-14);
-            expect(ratio.im).closeTo(1, 1e-14);
-        });
-    });
-});
-
-function reviveComplex(num) {
-    return me.math.complex({ re: num.re, im: num.im });
-}