Assignment 2 CS 300 - Applied Symbolic Computation Jeremy Johnson Due Thur. Oct. 27 by the start of class (2 pm). (submit your Maple worksheet using webct) No late assignments will be accepted This assignment explors modular arithmetic and modular algorithms. The assignment also reviews how to empirically determine the asymptotic growth rate of an algorithm by computing ratios to known functions.
<Text-field style="Heading 1" layout="Heading 1">Overview of Determinant Calculation in Maple</Text-field> The determinant of a matrix can be computed using Gaussian elimination (i.e. factor a matrix into a product of an upper and lower triangular matrix and use the fact that the determinant of a triangular matrix is equal to the product of the diagonal elements. Assuming unit cost for arithmetic then this approach leads to an 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 algorithm to compute the determinant of an 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 matrix. When exact coefficient arithmetic is used, then an accurate time bound requires taking into account the time for artihmetic operations (i.e. a bit complexity model is more appropriate). As Gaussian elimination proceeds the element of the intermediate matrices get larger and larger and arithmetic more costly. Depending on the algorithm that is used different sized intermediate results arise and different computing time bounds can be obtained. Maple has a command, called Determinant, in the LinearAlgebra package, for computing the determinant of a matrix. It is possible to specify as an option one of several algorithmic choices to be used. See help and below for more details. If the matrix has integer entries, then the determinant will be an integer, and it is possible to compute the determiant using an integer version of Gaussian elimination. This approach is called the fraction free algorithm as contrasted with Gaussian elimination with rational arithmetic. This approach is specified using the algorithm integer or fracfree. restart; with(LinearAlgebra); 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bergFormF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q.HilbertMatrixF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q2HouseholderMatrixF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q/IdentityMatrixF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q2IntersectionBasisF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q+IsDefiniteF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q-IsOrthogonalF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q*IsSimilarF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q*IsUnitaryF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q2JordanBlockMatrixF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q+JordanFormF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q(LA_MainF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q0LUDecompositionF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q-LeastSquaresF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q,LinearSolveF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q$MapF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q%Map2F(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q*MatrixAddF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q2MatrixExponentialF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q/MatrixFunctionF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q.MatrixInverseF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q5MatrixMatrixMultiplyF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q+MatrixNormF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q,MatrixPowerF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q5MatrixScalarMultiplyF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q5MatrixVectorMultiplyF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q2MinimalPolynomialF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q&MinorF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q(ModularF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q)MultiplyF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q,NoUserValueF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q%NormF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q*NormalizeF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q*NullSpaceF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q3OuterProductMatrixF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q*PermanentF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q&PivotF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q*PopovFormF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q0QRDecompositionF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q-RandomMatrixF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q-RandomVectorF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q%RankF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q6RationalCanonicalFormF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q6ReducedRowEchelonFormF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q$RowF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q-RowDimensionF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q-RowOperationF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q)RowSpaceF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q-ScalarMatrixF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q/ScalarMultiplyF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q-ScalarVectorF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q*SchurFormF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q/SingularValuesF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q*SmithFormF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q*SubMatrixF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q*SubVectorF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q)SumBasisF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q0SylvesterMatrixF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q/ToeplitzMatrixF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q&TraceF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q*TransposeF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q0TridiagonalFormF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q+UnitVectorF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q2VandermondeMatrixF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q*VectorAddF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q,VectorAngleF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q5VectorMatrixMultiplyF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q+VectorNormF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q5VectorScalarMultiplyF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q+ZeroMatrixF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q+ZeroVectorF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfqFhq-Fgn69Q$ZipF(FjnF]oF_oFaoFcoFeoFgoFioF[pF]pF_pFapFcpFepFgpFipF[qF]qF_qFaqFcqFfq-F-63Q"]F(/F1Q(postfixF(F3F6F9/F=Q2verythinmathspaceF(F>F@FBFEFHFJFLFNFQFTFW7#7brI#&xGF(I$AddG6$%*protectedGF*I(AdjointGF(I3BackwardSubstituteGF(I+BandMatrixGF(I&BasisGF(I-BezoutMatrixGF(I/BidiagonalFormGF(I-BilinearFormGF(I5CharacteristicMatrixGF(I9CharacteristicPolynomialGF(I'ColumnGF(I0ColumnDimensionGF(I0ColumnOperationGF(I,ColumnSpaceGF(I0CompanionMatrixGF(I0ConditionNumberGF(I/ConstantMatrixGF(I/ConstantVectorGF(I%CopyGF(I2CreatePermutationGF(I-CrossProductGF(I-DeleteColumnGF(I*DeleteRowGF(I,DeterminantGF(I)DiagonalGF(I/DiagonalMatrixGF(I*DimensionGF(I+DimensionsGF(I+DotProductGF(I6EigenConditionNumbersGF(I,EigenvaluesGF(I-EigenvectorsGF(I&EqualGF(I2ForwardSubstituteGF(I.FrobeniusFormGF(I4GaussianEliminationGF(I2GenerateEquationsGF(I/GenerateMatrixGF(I2GetResultDataTypeGF(I/GetResultShapeGF(I5GivensRotationMatrixGF(I,GramSchmidtGF(I-HankelMatrixGF(I,HermiteFormGF(I3HermitianTransposeGF(I/HessenbergFormGF(I.HilbertMatrixGF(I2HouseholderMatrixGF(I/IdentityMatrixGF(I2IntersectionBasisGF(I+IsDefiniteGF(I-IsOrthogonalGF(I*IsSimilarGF(I*IsUnitaryGF(I2JordanBlockMatrixGF(I+JordanFormGF(I(LA_MainGF(I0LUDecompositionGF(I-LeastSquaresGF(I,LinearSolveGF(I$MapGF(I%Map2GF(I*MatrixAddGF(I2MatrixExponentialGF(I/MatrixFunctionGF(I.MatrixInverseGF(I5MatrixMatrixMultiplyGF(I+MatrixNormGF(I,MatrixPowerGF(I5MatrixScalarMultiplyGF(I5MatrixVectorMultiplyGF(I2MinimalPolynomialGF(I&MinorGF(I(ModularGF(I)MultiplyGF^ilI,NoUserValueGF(I%NormGF^ilI*NormalizeGF(I*NullSpaceGF(I3OuterProductMatrixGF(I*PermanentGF(I&PivotGF(I*PopovFormGF(I0QRDecompositionGF(I-RandomMatrixGF(I-RandomVectorGF(I%RankGF(I6RationalCanonicalFormGF(I6ReducedRowEchelonFormGF(I$RowGF(I-RowDimensionGF(I-RowOperationGF(I)RowSpaceGF(I-ScalarMatrixGF(I/ScalarMultiplyGF(I-ScalarVectorGF(I*SchurFormGF(I/SingularValuesGF(I*SmithFormGF(I*SubMatrixGF(I*SubVectorGF(I)SumBasisGF(I0SylvesterMatrixGF(I/ToeplitzMatrixGF(I&TraceGF^ilI*TransposeGF(I0TridiagonalFormGF(I+UnitVectorGF(I2VandermondeMatrixGF(I*VectorAddGF(I,VectorAngleGF(I5VectorMatrixMultiplyGF(I+VectorNormGF(I5VectorScalarMultiplyGF(I+ZeroMatrixGF(I+ZeroVectorGF(I$ZipGF( A := RandomMatrix(4,4); 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 d := Determinant(A,method=integer); 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 The mod p image of the determinant is equal to determinant of the matrix whose elements are the mod p images of the elements of the original matrix. This is true since the map 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 that returns the remainder mod p is a homomorphism (i.e. 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 and LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYlLUkjbWlHRiQ2OVEhRicvJSdmYW1pbHlHUTBUaW1lc35OZXd+Um9tYW5GJy8lJXNpemVHUSMxMkYnLyUlYm9sZEdRJmZhbHNlRicvJSdpdGFsaWNHUSV0cnVlRicvJSp1bmRlcmxpbmVHRjcvJSpzdWJzY3JpcHRHRjcvJSxzdXBlcnNjcmlwdEdGNy8lK2ZvcmVncm91bmRHUShbMCwwLDBdRicvJStiYWNrZ3JvdW5kR1EuWzI1NSwyNTUsMjU1XUYnLyUnb3BhcXVlR0Y3LyUrZXhlY3V0YWJsZUdGNy8lKXJlYWRvbmx5R0Y3LyUpY29tcG9zZWRHRjcvJSpjb252ZXJ0ZWRHRjcvJStpbXNlbGVjdGVkR0Y3LyUscGxhY2Vob2xkZXJHRjcvJTBmb250X3N0eWxlX25hbWVHUSgyRH5NYXRoRicvJSptYXRoY29sb3JHRkMvJS9tYXRoYmFja2dyb3VuZEdGRi8lK2ZvbnRmYW1pbHlHRjEvJSxtYXRodmFyaWFudEdRJ2l0YWxpY0YnLyUpbWF0aHNpemVHRjQtRiM2JUYrLUYjNidGKy1GIzYnRistSSVtc3ViR0YkNiYtRiw2OVEkcGhpRidGL0YyRjUvRjlGN0Y7Rj1GP0ZBRkRGR0ZJRktGTUZPRlFGU0ZVRlhGWkZmbi9GaW5RJ25vcm1hbEYnRltvLUYjNiMtRiw2OVEicEYnRi9GMkY1RjhGO0Y9Rj9GQUZERkdGSUZLRk1GT0ZRRlNGVUZYRlpGZm5GaG5GW28vJS9zdWJzY3JpcHRzaGlmdEdRIjBGJy8lLHBsYWNlaG9sZGVyR0Y3LUkjbW9HRiQ2M1EwJkFwcGx5RnVuY3Rpb247RicvJSVmb3JtR1EmaW5maXhGJy8lJmZlbmNlR0Y3LyUqc2VwYXJhdG9yR0Y3LyUnbHNwYWNlR1EkMGVtRicvJSdyc3BhY2VHRmNxLyUpc3RyZXRjaHlHRjcvJSpzeW1tZXRyaWNHRjcvJShtYXhzaXplR1EpaW5maW5pdHlGJy8lKG1pbnNpemVHUSIxRicvJShsYXJnZW9wR0Y3LyUubW92YWJsZWxpbWl0c0dGNy8lJ2FjY2VudEdGNy8lMGZvbnRfc3R5bGVfbmFtZUdGVy8lJXNpemVHRjQvJStmb3JlZ3JvdW5kR0ZDLyUrYmFja2dyb3VuZEdGRi1GIzYlLUZncDYzUSIoRicvRltxUSdwcmVmaXhGJy9GXnFGOkZfcS9GYnFRLnRoaW5tYXRoc3BhY2VGJy9GZXFGZ3MvRmdxRjpGaHFGanFGXXJGYHJGYnJGZHJGZnJGaHJGanJGXHMtRiM2JUYrLUYjNiUtRiw2OVEiYUYnRi9GMkY1RjhGO0Y9Rj9GQUZERkdGSUZLRk1GT0ZRRlNGVUZYRlpGZm5GaG5GW28tRmdwNjNRIitGJ0ZqcEZdcUZfcS9GYnFRMG1lZGl1bW1hdGhzcGFjZUYnL0ZlcUZldEZmcUZocUZqcUZdckZgckZickZkckZmckZockZqckZccy1GLDY5USJiRidGL0YyRjVGOEY7Rj1GP0ZBRkRGR0ZJRktGTUZPRlFGU0ZVRlhGWkZmbkZobkZbb0YrLUZncDYzUSIpRicvRltxUShwb3N0Zml4RidGZXNGX3FGZnMvRmVxUTJ2ZXJ5dGhpbm1hdGhzcGFjZUYnRmlzRmhxRmpxRl1yRmByRmJyRmRyRmZyRmhyRmpyRlxzRistRmdwNjNRIj1GJ0ZqcEZdcUZfcS9GYnFRL3RoaWNrbWF0aHNwYWNlRicvRmVxRmV1RmZxRmhxRmpxRl1yRmByRmJyRmRyRmZyRmhyRmpyRlxzLUYjNidGKy1GIzYnRitGY29GZnAtRiM2JUZgcy1GIzYjRl50Rmp0RitGYXQtRiM2J0YrRmNvRmZwLUYjNiVGYHMtRiM2I0ZndEZqdEYrRitGK0YrRis=. This applies to the determinant, since the determinant is defined as a sum of products of elements of the matrix. The following computation illustrates this fact, and shows how to compute the determinant of a modular matrix. dp := LinearAlgebra[Modular][Determinant](11,A); 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 d mod 11; 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
<Text-field style="Heading 1" layout="Heading 1">Question 1 (Factoring Polynomials mod p - 20 points)</Text-field> The point of this question is to investigate how behavior mod p can be different from what you expect. The question involves some experimentation and thought, following some illustrative examples. A polynomial is reducible if it can be written as a product of two polynomials, and irreducible if not. Whether a polynomial is reducible depends on the coefficient that are allowed in the factors. For example, 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 is irreducible over the reals, but reducible over the complex numbers. By the fundamental theorem of algebra every polynomial can be written as a product of linear factors over the complex numbers and either linear or quandratic factors over the reals. Maple's factor command attempts to factor a polynomial over the rationals (i.e. find factors with rational coefficients). Note, by Gauss' lemme, if an integral polynomial (i.e. a polynomial with integer coefficients) factors over the rationals, it factors over the integers. The following commands shows that that the polynomials LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYlLUkjbWlHRiQ2OVEhRicvJSdmYW1pbHlHUTBUaW1lc35OZXd+Um9tYW5GJy8lJXNpemVHUSMxMkYnLyUlYm9sZEdRJmZhbHNlRicvJSdpdGFsaWNHUSV0cnVlRicvJSp1bmRlcmxpbmVHRjcvJSpzdWJzY3JpcHRHRjcvJSxzdXBlcnNjcmlwdEdGNy8lK2ZvcmVncm91bmRHUShbMCwwLDBdRicvJStiYWNrZ3JvdW5kR1EuWzI1NSwyNTUsMjU1XUYnLyUnb3BhcXVlR0Y3LyUrZXhlY3V0YWJsZUdGNy8lKXJlYWRvbmx5R0Y3LyUpY29tcG9zZWRHRjcvJSpjb252ZXJ0ZWRHRjcvJStpbXNlbGVjdGVkR0Y3LyUscGxhY2Vob2xkZXJHRjcvJTBmb250X3N0eWxlX25hbWVHUSgyRH5NYXRoRicvJSptYXRoY29sb3JHRkMvJS9tYXRoYmFja2dyb3VuZEdGRi8lK2ZvbnRmYW1pbHlHRjEvJSxtYXRodmFyaWFudEdRJ2l0YWxpY0YnLyUpbWF0aHNpemVHRjQtRiM2JUYrLUYjNiZGKy1GIzYlRistSSVtc3VwR0YkNiUtRiw2OVEieEYnRi9GMkY1RjhGO0Y9Rj9GQUZERkdGSUZLRk1GT0ZRRlNGVUZYRlpGZm5GaG5GW28tSSNtbkdGJDY5USIyRidGL0YyRjUvRjlGN0Y7Rj1GP0ZBRkRGR0ZJRktGTUZPRlFGU0ZVRlhGWkZmbi9GaW5RJ25vcm1hbEYnRltvLyUxc3VwZXJzY3JpcHRzaGlmdEdRIjBGJ0YrLUkjbW9HRiQ2M1EiK0YnLyUlZm9ybUdRJmluZml4RicvJSZmZW5jZUdGNy8lKnNlcGFyYXRvckdGNy8lJ2xzcGFjZUdRMG1lZGl1bW1hdGhzcGFjZUYnLyUncnNwYWNlR0ZgcS8lKXN0cmV0Y2h5R0Y3LyUqc3ltbWV0cmljR0Y3LyUobWF4c2l6ZUdRKWluZmluaXR5RicvJShtaW5zaXplR1EiMUYnLyUobGFyZ2VvcEdGNy8lLm1vdmFibGVsaW1pdHNHRjcvJSdhY2NlbnRHRjcvJTBmb250X3N0eWxlX25hbWVHRlcvJSVzaXplR0Y0LyUrZm9yZWdyb3VuZEdGQy8lK2JhY2tncm91bmRHRkYtRmpvNjlGXHJGL0YyRjVGXXBGO0Y9Rj9GQUZERkdGSUZLRk1GT0ZRRlNGVUZYRlpGZm5GXnBGW29GK0Yr and 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 are irreducible over the rationals. However, the are reducible if you allow expressions involving 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 and 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 for the coefficients of the factors. Maple's factor command allows an optional argument which specifies additional numbers that can be used in the factorization. The factorizations with the numbers 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 and 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 are known from the quadratic formula. factor(x^2+1); 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 solve(x^2+1); 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 factor(x^2+1,I); 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 factor(x^2-x-1); 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 solve(x^2-x-1); 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 factor(x^2-x-1,sqrt(5)); 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 If a polynomial with integer coefficients factors over the integers, then it must factor over the integers mod 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 for all primes 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. However, polynomials that are irreducible over the integers/rationals may be reducible mod 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 for different primes 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. The following command shows how to factor a polynomial mod 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. Note that the polynomial 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 is irreducible mod some primes while reducible mod other primes. Factor(x^2+1) mod 3; 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 Factor(x^2+1) mod 5; 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 It is not hard to prove that 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 factors mod 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 for all primes p that are equivalent to 1 mod 4 and are irreducible mod 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 for all primes p that are equivalent to 3 mod 4. The prime 2 is an exception - it has a multiple factor, which is also reducible. The following loop confirms this for the first 20 primes, and the computation after the loop shows a generalization of the fact that 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. for i from 1 to 20 do print(ithprime(i),ithprime(i) mod 4,Factor(x^2+1) mod ithprime(i)); end do; 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 NiQtSSVtcm93RzYjL0krbW9kdWxlbmFtZUc2IkksVHlwZXNldHRpbmdHSShfc3lzbGliR0YoNictSSNtbkdGJTY5USI1RigvJSdmYW1pbHlHUTBUaW1lc35OZXd+Um9tYW5GKC8lJXNpemVHUSMxMkYoLyUlYm9sZEdRJmZhbHNlRigvJSdpdGFsaWNHRjgvJSp1bmRlcmxpbmVHRjgvJSpzdWJzY3JpcHRHRjgvJSxzdXBlcnNjcmlwdEdGOC8lK2ZvcmVncm91bmRHUSpbMCwwLDI1NV1GKC8lK2JhY2tncm91bmRHUS5bMjU1LDI1NSwyNTVdRigvJSdvcGFxdWVHRjgvJStleGVjdXRhYmxlR0Y4LyUpcmVhZG9ubHlHUSV0cnVlRigvJSljb21wb3NlZEdGOC8lKmNvbnZlcnRlZEdGOC8lK2ltc2VsZWN0ZWRHRjgvJSxwbGFjZWhvbGRlckdGOC8lMGZvbnRfc3R5bGVfbmFtZUdRKjJEfk91dHB1dEYoLyUqbWF0aGNvbG9yR0ZDLyUvbWF0aGJhY2tncm91bmRHRkYvJStmb250ZmFtaWx5R0YyLyUsbWF0aHZhcmlhbnRHUSdub3JtYWxGKC8lKW1hdGhzaXplR0Y1LUkjbW9HRiU2M1EiLEYoLyUlZm9ybUdRJmluZml4RigvJSZmZW5jZUdGOC8lKnNlcGFyYXRvckdGTS8lJ2xzcGFjZUdRJDBlbUYoLyUncnNwYWNlR1EzdmVyeXRoaWNrbWF0aHNwYWNlRigvJSlzdHJldGNoeUdGOC8lKnN5bW1ldHJpY0dGOC8lKG1heHNpemVHUSlpbmZpbml0eUYoLyUobWluc2l6ZUdRIjFGKC8lKGxhcmdlb3BHRjgvJS5tb3ZhYmxlbGltaXRzR0Y4LyUnYWNjZW50R0Y4LyUwZm9udF9zdHlsZV9uYW1lR0ZYLyUlc2l6ZUdGNS8lK2ZvcmVncm91bmRHRkMvJStiYWNrZ3JvdW5kR0ZGLUYtNjlGaHBGMEYzRjZGOUY7Rj1GP0ZBRkRGR0ZJRktGTkZQRlJGVEZWRllGZW5GZ25GaW5GXG9GXm8tRiQ2JS1GJDYlLUZfbzYzUSIoRigvRmNvUSdwcmVmaXhGKC9GZm9GTS9GaG9GOC9Gam9RLnRoaW5tYXRoc3BhY2VGKC9GXXBGZXIvRmBwRk1GYXBGY3BGZnBGaXBGW3FGXXFGX3FGYXFGY3FGZXEtRiQ2JS1JI21pR0YlNjlRInhGKEYwRjNGNi9GOkZNRjtGPUY/RkFGREZHRklGS0ZORlBGUkZURlZGWUZlbkZnbi9Gam5RJ2l0YWxpY0YoRlxvLUZfbzYzUSIrRihGYm9GZW9GY3IvRmpvUTBtZWRpdW1tYXRoc3BhY2VGKC9GXXBGZXNGX3BGYXBGY3BGZnBGaXBGW3FGXXFGX3FGYXFGY3FGZXEtRi02OVEiM0YoRjBGM0Y2RjlGO0Y9Rj9GQUZERkdGSUZLRk5GUEZSRlRGVkZZRmVuRmduRmluRlxvLUZfbzYzUSIpRigvRmNvUShwb3N0Zml4RihGYnJGY3JGZHIvRl1wUTJ2ZXJ5dGhpbm1hdGhzcGFjZUYoRmdyRmFwRmNwRmZwRmlwRltxRl1xRl9xRmFxRmNxRmVxLUZfbzYzUTEmSW52aXNpYmxlVGltZXM7RihGYm9GZW9GY3JGaW8vRl1wRltwRl9wRmFwRmNwRmZwRmlwRltxRl1xRl9xRmFxRmNxRmVxLUYkNiVGXXItRiQ2JUZqckZhcy1GLTY5USIyRihGMEYzRjZGOUY7Rj1GP0ZBRkRGR0ZJRktGTkZQRlJGVEZWRllGZW5GZ25GaW5GXG9GanM3IzYlIiImIiIiKiYsJkkieEdGKEZfdSIiJEZfdUZfdSwmRmJ1Rl91IiIjRl91Rl91 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for i from 1 to 20 do Power((a+b),ithprime(i)) mod ithprime(i) = a^ithprime(i) + b^ithprime(i); end do; 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 Examine the factorization of 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 for a sequence of prime numbers. Do you see a pattern similar to the one for 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?
<Text-field style="Heading 1" layout="Heading 1">Question 2 (Timing - 20 points)</Text-field> In this question you will empirically determine the asymptotic computing time of Maple's determinant algorithm for integer matrices (fraction free algorithm) and for modular matrices (i.e. matrices whose elements are in LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYlLUkjbWlHRiQ2OVEhRicvJSdmYW1pbHlHUTBUaW1lc35OZXd+Um9tYW5GJy8lJXNpemVHUSMxMkYnLyUlYm9sZEdRJmZhbHNlRicvJSdpdGFsaWNHUSV0cnVlRicvJSp1bmRlcmxpbmVHRjcvJSpzdWJzY3JpcHRHRjcvJSxzdXBlcnNjcmlwdEdGNy8lK2ZvcmVncm91bmRHUShbMCwwLDBdRicvJStiYWNrZ3JvdW5kR1EuWzI1NSwyNTUsMjU1XUYnLyUnb3BhcXVlR0Y3LyUrZXhlY3V0YWJsZUdGNy8lKXJlYWRvbmx5R0Y3LyUpY29tcG9zZWRHRjcvJSpjb252ZXJ0ZWRHRjcvJStpbXNlbGVjdGVkR0Y3LyUscGxhY2Vob2xkZXJHRjcvJTBmb250X3N0eWxlX25hbWVHUSgyRH5NYXRoRicvJSptYXRoY29sb3JHRkMvJS9tYXRoYmFja2dyb3VuZEdGRi8lK2ZvbnRmYW1pbHlHRjEvJSxtYXRodmFyaWFudEdRJ2l0YWxpY0YnLyUpbWF0aHNpemVHRjQtRiM2JUYrLUklbXN1YkdGJDYmLUYsNjlRIlpGJ0YvRjJGNUY4RjtGPUY/RkFGREZHRklGS0ZNRk9GUUZTRlVGWEZaRmZuRmhuRltvLUYjNiMtRiw2OVEicEYnRi9GMkY1RjhGO0Y9Rj9GQUZERkdGSUZLRk1GT0ZRRlNGVUZYRlpGZm5GaG5GW28vJS9zdWJzY3JpcHRzaGlmdEdRIjBGJy8lLHBsYWNlaG9sZGVyR0Y3RitGKw== for some prime 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). Generate random modular matrices of size 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 for a range of sizes n and fixed prime modulus 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 (word-sized), and time the modular determinant algorithm. Verify that the computing time is 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, by computing the ratio of the computing times over 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, LUklbXJvd0c2Iy9JK21vZHVsZW5hbWVHNiJJLFR5cGVzZXR0aW5nR0koX3N5c2xpYkdGJzYlLUkjbWlHRiQ2OVEhRicvJSdmYW1pbHlHUTBUaW1lc35OZXd+Um9tYW5GJy8lJXNpemVHUSMxMkYnLyUlYm9sZEdRJmZhbHNlRicvJSdpdGFsaWNHUSV0cnVlRicvJSp1bmRlcmxpbmVHRjcvJSpzdWJzY3JpcHRHRjcvJSxzdXBlcnNjcmlwdEdGNy8lK2ZvcmVncm91bmRHUShbMCwwLDBdRicvJStiYWNrZ3JvdW5kR1EuWzI1NSwyNTUsMjU1XUYnLyUnb3BhcXVlR0Y3LyUrZXhlY3V0YWJsZUdGNy8lKXJlYWRvbmx5R0Y3LyUpY29tcG9zZWRHRjcvJSpjb252ZXJ0ZWRHRjcvJStpbXNlbGVjdGVkR0Y3LyUscGxhY2Vob2xkZXJHRjcvJTBmb250X3N0eWxlX25hbWVHUSgyRH5NYXRoRicvJSptYXRoY29sb3JHRkMvJS9tYXRoYmFja2dyb3VuZEdGRi8lK2ZvbnRmYW1pbHlHRjEvJSxtYXRodmFyaWFudEdRJ2l0YWxpY0YnLyUpbWF0aHNpemVHRjQtRiM2JUYrLUYjNiVGKy1JJW1zdXBHRiQ2JS1GLDY5USJuRidGL0YyRjVGOEY7Rj1GP0ZBRkRGR0ZJRktGTUZPRlFGU0ZVRlhGWkZmbkZobkZbby1JI21uR0YkNjlRIjNGJ0YvRjJGNS9GOUY3RjtGPUY/RkFGREZHRklGS0ZNRk9GUUZTRlVGWEZaRmZuL0ZpblEnbm9ybWFsRidGW28vJTFzdXBlcnNjcmlwdHNoaWZ0R1EiMEYnRitGK0Yr, and 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. You should plot the ratios. Also look at what happens to the computing time when the input size doubles. Generate random integer matrices of size 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 for a range of sizes n, and time the fraction free integer determinant algorithm. Compute ratios of the runtime to different functions of 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 (e.g. 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, etc.) and conjecture what the computing time of the fraction free algorithm is as a function of the input size 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. Provide evidence for your conjecture.
<Text-field style="Heading 1" layout="Heading 1">Question 3 (Hadamard Bound - 20 points)</Text-field> Hadamard's inequality provides an upper bound on the size of the determinant of a matrix. Such a bound is required for a modular algorithm to compute the determinant. Given a 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 real or complex matrix A, Hadamard's inequality states that the absolute value of the determinant is less than or equal to the product of the Euclidean norms of the vectors formed from the columns of the matrix. I.E. 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 First compute the Hadamard bound for the matrix given below. You can use the function VectorNorm to assist with this calculation. The columns (or rows or submatrices) of a matrix can be accessed using the range operator (see help for examples). Verify that the absoluate value of the determinant is less than the Hadamard bound. Note that the determinant of the transpose of a matrix is equal to the determinant of the matrix. Use this fact to find a tighter bound for the given matrix. After getting comfortable with Hadamard's inequality for this example, perform an experiment to see how far off the bound is for a random sample of matrices of different dimensions. Verify that the bound is actually a bound on the determinant as the theorem states. Compute the ratio of the determinant to the bound in the inequality to evaluate the effectiveness of the bound. restart; with(LinearAlgebra): A := Matrix(<< 1 | 2 >, < 3 | 4 >>); 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
<Text-field style="Heading 1" layout="Heading 1">Question 4 (Modular Algorithm - 40 points)</Text-field> Implement and test a modular algorithm for computing the determinant of an integer matrix. After verifying that your algorithm is correct, empirically determine the asymptotic computing time. Compare the actual computing times to those obtained using the fraction free algorithm from Maple. Also, compare the asymptotic computing times of your modular algorithm and the fraction free algorithm from Maple. The modular algorithm, should compute the determinant mod a list of primes and use the chinese remainder algorithm (in Maple this is chrem) to recover the integer result. Use the hadamard bound to determine the number of primes that are required. Make sure you use enough primes so that their product is twice as large as the Hadamard bound. This is necessary since the determinant can be either positive or negative. To enable your algorithm to obtain a negative result from the chinese remainder algorithm, you should use the symmetric representation for modular arithmetic. The mods function can be used to obtain the symmetric representation of an element mod p. mods(4,5); 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