diff --git a/gtsam/linear/tests/testAcceleratedPowerMethod.cpp b/gtsam/linear/tests/testAcceleratedPowerMethod.cpp
index 228ce157c..dd593e7d3 100644
--- a/gtsam/linear/tests/testAcceleratedPowerMethod.cpp
+++ b/gtsam/linear/tests/testAcceleratedPowerMethod.cpp
@@ -76,11 +76,6 @@ TEST(AcceleratedPowerMethod, useFactorGraph) {
   auto L = fg.hessian();
   Eigen::EigenSolver<Matrix> solver(L.first);
 
-  // Check that we get zero eigenvalue and "constant" eigenvector
-  EXPECT_DOUBLES_EQUAL(0.0, solver.eigenvalues()[0].real(), 1e-9);
-  auto v0 = solver.eigenvectors().col(0);
-  for (size_t j = 0; j < 3; j++) EXPECT_DOUBLES_EQUAL(-0.5, v0[j].real(), 1e-9);
-
   // find the index of the max eigenvalue
   size_t maxIdx = 0;
   for (auto i = 0; i < solver.eigenvalues().rows(); ++i) {
@@ -105,7 +100,6 @@ TEST(AcceleratedPowerMethod, useFactorGraph) {
   const double ritzValue = actual1.dot(L.first * actual1);
   const double ritzResidual = (L.first * actual1 - ritzValue * actual1).norm();
   EXPECT_DOUBLES_EQUAL(0, ritzResidual, 1e-5);
-  // Check 
 }
 
 /* ************************************************************************* */
diff --git a/gtsam/linear/tests/testPowerMethod.cpp b/gtsam/linear/tests/testPowerMethod.cpp
index 4c96c5bca..ccac4556c 100644
--- a/gtsam/linear/tests/testPowerMethod.cpp
+++ b/gtsam/linear/tests/testPowerMethod.cpp
@@ -74,11 +74,6 @@ TEST(PowerMethod, useFactorGraph) {
   auto L = fg.hessian();
   Eigen::EigenSolver<Matrix> solver(L.first);
 
-  // Check that we get zero eigenvalue and "constant" eigenvector
-  EXPECT_DOUBLES_EQUAL(0.0, solver.eigenvalues()[0].real(), 1e-9);
-  auto v0 = solver.eigenvectors().col(0);
-  for (size_t j = 0; j < 3; j++) EXPECT_DOUBLES_EQUAL(-0.5, v0[j].real(), 1e-9);
-
   // find the index of the max eigenvalue
   size_t maxIdx = 0;
   for (auto i = 0; i < solver.eigenvalues().rows(); ++i) {