guarantee hermitian results in polar decompositions

docs/src/changelog.md

@@ -30,6 +30,8 @@ When releasing a new version, move the "Unreleased" changes to a new version sec
 
 ### Fixed
 
+- Polar decompositions return exact hermitian factors ([#143](https://github.com/QuantumKitHub/MatrixAlgebraKit.jl/pull/143)
+
 ## [0.6.1](https://github.com/QuantumKitHub/MatrixAlgebraKit.jl/compare/v0.6.0...v0.6.1) - 2025-12-28
 
 ### Added

ext/MatrixAlgebraKitAMDGPUExt/MatrixAlgebraKitAMDGPUExt.jl

@@ -198,4 +198,12 @@ function MatrixAlgebraKit.truncate(
     return Vᴴ[ind, :], ind
 end
 
+# avoids calling the BlasMat specialization that assumes syrk! or herk! is called
+# TODO: remove once syrk! or herk! is defined
+function MatrixAlgebraKit._mul_herm!(C::StridedROCMatrix{T}, A::StridedROCMatrix{T}) where {T <: BlasFloat}
+    mul!(C, A, A')
+    project_hermitian!(C)
+    return C
+end
+
 end

ext/MatrixAlgebraKitCUDAExt/MatrixAlgebraKitCUDAExt.jl

@@ -183,4 +183,12 @@ function MatrixAlgebraKit._avgdiff!(A::StridedCuMatrix, B::StridedCuMatrix)
     return A, B
 end
 
+# avoids calling the BlasMat specialization that assumes syrk! or herk! is called
+# TODO: remove once syrk! or herk! is defined
+function MatrixAlgebraKit._mul_herm!(C::StridedCuMatrix{T}, A::StridedCuMatrix{T}) where {T <: BlasFloat}
+    mul!(C, A, A')
+    project_hermitian!(C)
+    return C
+end
+
 end

src/implementations/polar.jl

@@ -53,7 +53,7 @@ function left_polar!(A::AbstractMatrix, WP, alg::PolarViaSVD)
     if !isempty(P)
         S .= sqrt.(S)
         SsqrtVᴴ = lmul!(S, Vᴴ)
-        P = mul!(P, SsqrtVᴴ', SsqrtVᴴ)
+        P = _mul_herm!(P, SsqrtVᴴ')
     end
     return (W, P)
 end
@@ -65,11 +65,24 @@ function right_polar!(A::AbstractMatrix, PWᴴ, alg::PolarViaSVD)
     if !isempty(P)
         S .= sqrt.(S)
         USsqrt = rmul!(U, S)
-        P = mul!(P, USsqrt, USsqrt')
+        P = _mul_herm!(P, USsqrt)
     end
     return (P, Wᴴ)
 end
 
+# Implement `mul!(C, A', A)` and guarantee the result is hermitian.
+# For BLAS calls that dispatch to `syrk` or `herk` this works automatically
+# for GPU this currently does not seem to be guaranteed so we manually project
+function _mul_herm!(C, A)
+    mul!(C, A, A')
+    project_hermitian!(C)
+    return C
+end
+function _mul_herm!(C::YALAPACK.BlasMat{T}, A::YALAPACK.BlasMat{T}) where {T <: YALAPACK.BlasFloat}
+    mul!(C, A, A')
+    return C
+end
+
 # Implementation via Newton
 # --------------------------
 function left_polar!(A::AbstractMatrix, WP, alg::PolarNewton)

test/testsuite/polar.jl

@@ -17,34 +17,30 @@ function test_left_polar(
     )
     summary_str = testargs_summary(T, sz)
     return @testset "left_polar! algorithm $alg $summary_str" for alg in algs
-        @testset "algorithm $alg" for alg in algs
-            A = instantiate_matrix(T, sz)
-            Ac = deepcopy(A)
-            W, P = left_polar(A; alg)
-            @test eltype(W) == eltype(A) && size(W) == (size(A, 1), size(A, 2))
-            @test eltype(P) == eltype(A) && size(P) == (size(A, 2), size(A, 2))
-            @test W * P ≈ A
-            @test isisometric(W)
-            @test ishermitian(P; rtol = MatrixAlgebraKit.defaulttol(P))
-            @test isposdef(project_hermitian!(P))
+        A = instantiate_matrix(T, sz)
+        Ac = deepcopy(A)
+        W, P = left_polar(A; alg)
+        @test eltype(W) == eltype(A) && size(W) == (size(A, 1), size(A, 2))
+        @test eltype(P) == eltype(A) && size(P) == (size(A, 2), size(A, 2))
+        @test W * P ≈ A
+        @test isisometric(W)
+        @test isposdef(P)
 
-            W2, P2 = @testinferred left_polar!(Ac, (W, P), alg)
-            @test W2 === W
-            @test P2 === P
-            @test W * P ≈ A
-            @test isisometric(W)
-            @test ishermitian(P; rtol = MatrixAlgebraKit.defaulttol(P))
-            @test isposdef(project_hermitian!(P))
+        W2, P2 = @testinferred left_polar!(Ac, (W, P), alg)
+        @test W2 === W
+        @test P2 === P
+        @test W * P ≈ A
+        @test isisometric(W)
+        @test isposdef(P)
 
-            noP = similar(P, (0, 0))
-            W2, P2 = @testinferred left_polar!(copy!(Ac, A), (W, noP), alg)
-            @test P2 === noP
-            @test W2 === W
-            @test isisometric(W)
-            P = W' * A # compute P explicitly to verify W correctness
-            @test ishermitian(P; rtol = MatrixAlgebraKit.defaulttol(P))
-            @test isposdef(project_hermitian!(P))
-        end
+        noP = similar(P, (0, 0))
+        W2, P2 = @testinferred left_polar!(copy!(Ac, A), (W, noP), alg)
+        @test P2 === noP
+        @test W2 === W
+        @test isisometric(W)
+        P = W' * A # compute P explicitly to verify W correctness
+        @test ishermitian(P; rtol = MatrixAlgebraKit.defaulttol(P))
+        @test isposdef(project_hermitian!(P))
     end
 end
 
@@ -62,16 +58,14 @@ function test_right_polar(
         @test eltype(P) == eltype(A) && size(P) == (size(A, 1), size(A, 1))
         @test P * Wᴴ ≈ A
         @test isisometric(Wᴴ; side = :right)
-        @test ishermitian(P; rtol = MatrixAlgebraKit.defaulttol(P))
-        @test isposdef(project_hermitian!(P))
+        @test isposdef(P)
 
         P2, Wᴴ2 = @testinferred right_polar!(Ac, (P, Wᴴ), alg)
         @test P2 === P
         @test Wᴴ2 === Wᴴ
         @test P * Wᴴ ≈ A
         @test isisometric(Wᴴ; side = :right)
-        @test ishermitian(P; rtol = MatrixAlgebraKit.defaulttol(P))
-        @test isposdef(project_hermitian!(P))
+        @test isposdef(P)
 
         noP = similar(P, (0, 0))
         P2, Wᴴ2 = @testinferred right_polar!(copy!(Ac, A), (noP, Wᴴ), alg)