415 lines
13 KiB
Python
415 lines
13 KiB
Python
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import random
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from sympy.core.numbers import I
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from sympy.core.numbers import Rational
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from sympy.core.symbol import (Symbol, symbols)
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from sympy.functions.elementary.miscellaneous import sqrt
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from sympy.polys.polytools import Poly
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from sympy.matrices import Matrix, eye, ones
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from sympy.abc import x, y, z
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from sympy.testing.pytest import raises
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from sympy.matrices.common import NonSquareMatrixError
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from sympy.functions.combinatorial.factorials import factorial, subfactorial
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def test_determinant():
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M = Matrix()
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assert M.det() == 1
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# Evaluating these directly because they are never reached via M.det()
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assert M._eval_det_bareiss() == 1
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assert M._eval_det_berkowitz() == 1
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assert M._eval_det_lu() == 1
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M = Matrix([ [0] ])
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assert M.det() == 0
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assert M._eval_det_bareiss() == 0
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assert M._eval_det_berkowitz() == 0
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assert M._eval_det_lu() == 0
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M = Matrix([ [5] ])
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assert M.det() == 5
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assert M._eval_det_bareiss() == 5
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assert M._eval_det_berkowitz() == 5
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assert M._eval_det_lu() == 5
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M = Matrix(( (-3, 2),
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( 8, -5) ))
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assert M.det(method="domain-ge") == -1
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assert M.det(method="bareiss") == -1
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assert M.det(method="berkowitz") == -1
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assert M.det(method="lu") == -1
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M = Matrix(( (x, 1),
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(y, 2*y) ))
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assert M.det(method="domain-ge") == 2*x*y - y
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assert M.det(method="bareiss") == 2*x*y - y
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assert M.det(method="berkowitz") == 2*x*y - y
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assert M.det(method="lu") == 2*x*y - y
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M = Matrix(( (1, 1, 1),
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(1, 2, 3),
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(1, 3, 6) ))
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assert M.det(method="domain-ge") == 1
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assert M.det(method="bareiss") == 1
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assert M.det(method="berkowitz") == 1
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assert M.det(method="lu") == 1
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M = Matrix(( ( 3, -2, 0, 5),
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(-2, 1, -2, 2),
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( 0, -2, 5, 0),
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( 5, 0, 3, 4) ))
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assert M.det(method="domain-ge") == -289
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assert M.det(method="bareiss") == -289
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assert M.det(method="berkowitz") == -289
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assert M.det(method="lu") == -289
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M = Matrix(( ( 1, 2, 3, 4),
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( 5, 6, 7, 8),
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( 9, 10, 11, 12),
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(13, 14, 15, 16) ))
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assert M.det(method="domain-ge") == 0
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assert M.det(method="bareiss") == 0
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assert M.det(method="berkowitz") == 0
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assert M.det(method="lu") == 0
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M = Matrix(( (3, 2, 0, 0, 0),
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(0, 3, 2, 0, 0),
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(0, 0, 3, 2, 0),
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(0, 0, 0, 3, 2),
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(2, 0, 0, 0, 3) ))
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assert M.det(method="domain-ge") == 275
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assert M.det(method="bareiss") == 275
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assert M.det(method="berkowitz") == 275
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assert M.det(method="lu") == 275
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M = Matrix(( ( 3, 0, 0, 0),
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(-2, 1, 0, 0),
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( 0, -2, 5, 0),
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( 5, 0, 3, 4) ))
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assert M.det(method="domain-ge") == 60
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assert M.det(method="bareiss") == 60
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assert M.det(method="berkowitz") == 60
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assert M.det(method="lu") == 60
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M = Matrix(( ( 1, 0, 0, 0),
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( 5, 0, 0, 0),
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( 9, 10, 11, 0),
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(13, 14, 15, 16) ))
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assert M.det(method="domain-ge") == 0
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assert M.det(method="bareiss") == 0
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assert M.det(method="berkowitz") == 0
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assert M.det(method="lu") == 0
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M = Matrix(( (3, 2, 0, 0, 0),
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(0, 3, 2, 0, 0),
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(0, 0, 3, 2, 0),
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(0, 0, 0, 3, 2),
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(0, 0, 0, 0, 3) ))
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assert M.det(method="domain-ge") == 243
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assert M.det(method="bareiss") == 243
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assert M.det(method="berkowitz") == 243
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assert M.det(method="lu") == 243
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M = Matrix(( (1, 0, 1, 2, 12),
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(2, 0, 1, 1, 4),
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(2, 1, 1, -1, 3),
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(3, 2, -1, 1, 8),
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(1, 1, 1, 0, 6) ))
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assert M.det(method="domain-ge") == -55
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assert M.det(method="bareiss") == -55
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assert M.det(method="berkowitz") == -55
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assert M.det(method="lu") == -55
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M = Matrix(( (-5, 2, 3, 4, 5),
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( 1, -4, 3, 4, 5),
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( 1, 2, -3, 4, 5),
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( 1, 2, 3, -2, 5),
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( 1, 2, 3, 4, -1) ))
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assert M.det(method="domain-ge") == 11664
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assert M.det(method="bareiss") == 11664
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assert M.det(method="berkowitz") == 11664
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assert M.det(method="lu") == 11664
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M = Matrix(( ( 2, 7, -1, 3, 2),
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( 0, 0, 1, 0, 1),
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(-2, 0, 7, 0, 2),
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(-3, -2, 4, 5, 3),
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( 1, 0, 0, 0, 1) ))
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assert M.det(method="domain-ge") == 123
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assert M.det(method="bareiss") == 123
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assert M.det(method="berkowitz") == 123
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assert M.det(method="lu") == 123
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M = Matrix(( (x, y, z),
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(1, 0, 0),
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(y, z, x) ))
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assert M.det(method="domain-ge") == z**2 - x*y
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assert M.det(method="bareiss") == z**2 - x*y
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assert M.det(method="berkowitz") == z**2 - x*y
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assert M.det(method="lu") == z**2 - x*y
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# issue 13835
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a = symbols('a')
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M = lambda n: Matrix([[i + a*j for i in range(n)]
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for j in range(n)])
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assert M(5).det() == 0
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assert M(6).det() == 0
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assert M(7).det() == 0
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def test_issue_14517():
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M = Matrix([
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[ 0, 10*I, 10*I, 0],
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[10*I, 0, 0, 10*I],
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[10*I, 0, 5 + 2*I, 10*I],
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[ 0, 10*I, 10*I, 5 + 2*I]])
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ev = M.eigenvals()
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# test one random eigenvalue, the computation is a little slow
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test_ev = random.choice(list(ev.keys()))
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assert (M - test_ev*eye(4)).det() == 0
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def test_legacy_det():
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# Minimal support for legacy keys for 'method' in det()
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# Partially copied from test_determinant()
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M = Matrix(( ( 3, -2, 0, 5),
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(-2, 1, -2, 2),
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( 0, -2, 5, 0),
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( 5, 0, 3, 4) ))
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assert M.det(method="bareis") == -289
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assert M.det(method="det_lu") == -289
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assert M.det(method="det_LU") == -289
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M = Matrix(( (3, 2, 0, 0, 0),
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(0, 3, 2, 0, 0),
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(0, 0, 3, 2, 0),
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(0, 0, 0, 3, 2),
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(2, 0, 0, 0, 3) ))
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assert M.det(method="bareis") == 275
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assert M.det(method="det_lu") == 275
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assert M.det(method="Bareis") == 275
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M = Matrix(( (1, 0, 1, 2, 12),
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(2, 0, 1, 1, 4),
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(2, 1, 1, -1, 3),
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(3, 2, -1, 1, 8),
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(1, 1, 1, 0, 6) ))
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assert M.det(method="bareis") == -55
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assert M.det(method="det_lu") == -55
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assert M.det(method="BAREISS") == -55
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M = Matrix(( ( 3, 0, 0, 0),
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(-2, 1, 0, 0),
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( 0, -2, 5, 0),
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( 5, 0, 3, 4) ))
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assert M.det(method="bareiss") == 60
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assert M.det(method="berkowitz") == 60
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assert M.det(method="lu") == 60
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M = Matrix(( ( 1, 0, 0, 0),
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( 5, 0, 0, 0),
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( 9, 10, 11, 0),
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(13, 14, 15, 16) ))
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assert M.det(method="bareiss") == 0
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assert M.det(method="berkowitz") == 0
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assert M.det(method="lu") == 0
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M = Matrix(( (3, 2, 0, 0, 0),
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(0, 3, 2, 0, 0),
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(0, 0, 3, 2, 0),
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(0, 0, 0, 3, 2),
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(0, 0, 0, 0, 3) ))
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assert M.det(method="bareiss") == 243
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assert M.det(method="berkowitz") == 243
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assert M.det(method="lu") == 243
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M = Matrix(( (-5, 2, 3, 4, 5),
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( 1, -4, 3, 4, 5),
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( 1, 2, -3, 4, 5),
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( 1, 2, 3, -2, 5),
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( 1, 2, 3, 4, -1) ))
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assert M.det(method="bareis") == 11664
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assert M.det(method="det_lu") == 11664
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assert M.det(method="BERKOWITZ") == 11664
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M = Matrix(( ( 2, 7, -1, 3, 2),
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( 0, 0, 1, 0, 1),
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(-2, 0, 7, 0, 2),
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(-3, -2, 4, 5, 3),
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( 1, 0, 0, 0, 1) ))
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assert M.det(method="bareis") == 123
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assert M.det(method="det_lu") == 123
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assert M.det(method="LU") == 123
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def eye_Determinant(n):
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return Matrix(n, n, lambda i, j: int(i == j))
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def zeros_Determinant(n):
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return Matrix(n, n, lambda i, j: 0)
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def test_det():
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a = Matrix(2, 3, [1, 2, 3, 4, 5, 6])
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raises(NonSquareMatrixError, lambda: a.det())
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z = zeros_Determinant(2)
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ey = eye_Determinant(2)
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assert z.det() == 0
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assert ey.det() == 1
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x = Symbol('x')
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a = Matrix(0, 0, [])
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b = Matrix(1, 1, [5])
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c = Matrix(2, 2, [1, 2, 3, 4])
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d = Matrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 8])
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e = Matrix(4, 4,
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[x, 1, 2, 3, 4, 5, 6, 7, 2, 9, 10, 11, 12, 13, 14, 14])
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from sympy.abc import i, j, k, l, m, n
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f = Matrix(3, 3, [i, l, m, 0, j, n, 0, 0, k])
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g = Matrix(3, 3, [i, 0, 0, l, j, 0, m, n, k])
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h = Matrix(3, 3, [x**3, 0, 0, i, x**-1, 0, j, k, x**-2])
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# the method keyword for `det` doesn't kick in until 4x4 matrices,
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# so there is no need to test all methods on smaller ones
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assert a.det() == 1
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assert b.det() == 5
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assert c.det() == -2
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assert d.det() == 3
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assert e.det() == 4*x - 24
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assert e.det(method="domain-ge") == 4*x - 24
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assert e.det(method='bareiss') == 4*x - 24
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assert e.det(method='berkowitz') == 4*x - 24
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assert f.det() == i*j*k
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assert g.det() == i*j*k
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assert h.det() == 1
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raises(ValueError, lambda: e.det(iszerofunc="test"))
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def test_permanent():
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M = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
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assert M.per() == 450
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for i in range(1, 12):
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assert ones(i, i).per() == ones(i, i).T.per() == factorial(i)
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assert (ones(i, i)-eye(i)).per() == (ones(i, i)-eye(i)).T.per() == subfactorial(i)
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a1, a2, a3, a4, a5 = symbols('a_1 a_2 a_3 a_4 a_5')
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M = Matrix([a1, a2, a3, a4, a5])
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assert M.per() == M.T.per() == a1 + a2 + a3 + a4 + a5
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def test_adjugate():
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x = Symbol('x')
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e = Matrix(4, 4,
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[x, 1, 2, 3, 4, 5, 6, 7, 2, 9, 10, 11, 12, 13, 14, 14])
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adj = Matrix([
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[ 4, -8, 4, 0],
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[ 76, -14*x - 68, 14*x - 8, -4*x + 24],
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[-122, 17*x + 142, -21*x + 4, 8*x - 48],
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[ 48, -4*x - 72, 8*x, -4*x + 24]])
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assert e.adjugate() == adj
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assert e.adjugate(method='bareiss') == adj
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assert e.adjugate(method='berkowitz') == adj
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a = Matrix(2, 3, [1, 2, 3, 4, 5, 6])
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raises(NonSquareMatrixError, lambda: a.adjugate())
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def test_util():
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R = Rational
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v1 = Matrix(1, 3, [1, 2, 3])
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v2 = Matrix(1, 3, [3, 4, 5])
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assert v1.norm() == sqrt(14)
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assert v1.project(v2) == Matrix(1, 3, [R(39)/25, R(52)/25, R(13)/5])
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||
|
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assert Matrix.zeros(1, 2) == Matrix(1, 2, [0, 0])
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||
|
|
assert ones(1, 2) == Matrix(1, 2, [1, 1])
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||
|
|
assert v1.copy() == v1
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||
|
|
# cofactor
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||
|
|
assert eye(3) == eye(3).cofactor_matrix()
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|
|
test = Matrix([[1, 3, 2], [2, 6, 3], [2, 3, 6]])
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||
|
|
assert test.cofactor_matrix() == \
|
||
|
|
Matrix([[27, -6, -6], [-12, 2, 3], [-3, 1, 0]])
|
||
|
|
test = Matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
|
||
|
|
assert test.cofactor_matrix() == \
|
||
|
|
Matrix([[-3, 6, -3], [6, -12, 6], [-3, 6, -3]])
|
||
|
|
|
||
|
|
def test_cofactor_and_minors():
|
||
|
|
x = Symbol('x')
|
||
|
|
e = Matrix(4, 4,
|
||
|
|
[x, 1, 2, 3, 4, 5, 6, 7, 2, 9, 10, 11, 12, 13, 14, 14])
|
||
|
|
|
||
|
|
m = Matrix([
|
||
|
|
[ x, 1, 3],
|
||
|
|
[ 2, 9, 11],
|
||
|
|
[12, 13, 14]])
|
||
|
|
cm = Matrix([
|
||
|
|
[ 4, 76, -122, 48],
|
||
|
|
[-8, -14*x - 68, 17*x + 142, -4*x - 72],
|
||
|
|
[ 4, 14*x - 8, -21*x + 4, 8*x],
|
||
|
|
[ 0, -4*x + 24, 8*x - 48, -4*x + 24]])
|
||
|
|
sub = Matrix([
|
||
|
|
[x, 1, 2],
|
||
|
|
[4, 5, 6],
|
||
|
|
[2, 9, 10]])
|
||
|
|
|
||
|
|
assert e.minor_submatrix(1, 2) == m
|
||
|
|
assert e.minor_submatrix(-1, -1) == sub
|
||
|
|
assert e.minor(1, 2) == -17*x - 142
|
||
|
|
assert e.cofactor(1, 2) == 17*x + 142
|
||
|
|
assert e.cofactor_matrix() == cm
|
||
|
|
assert e.cofactor_matrix(method="bareiss") == cm
|
||
|
|
assert e.cofactor_matrix(method="berkowitz") == cm
|
||
|
|
|
||
|
|
raises(ValueError, lambda: e.cofactor(4, 5))
|
||
|
|
raises(ValueError, lambda: e.minor(4, 5))
|
||
|
|
raises(ValueError, lambda: e.minor_submatrix(4, 5))
|
||
|
|
|
||
|
|
a = Matrix(2, 3, [1, 2, 3, 4, 5, 6])
|
||
|
|
assert a.minor_submatrix(0, 0) == Matrix([[5, 6]])
|
||
|
|
|
||
|
|
raises(ValueError, lambda:
|
||
|
|
Matrix(0, 0, []).minor_submatrix(0, 0))
|
||
|
|
raises(NonSquareMatrixError, lambda: a.cofactor(0, 0))
|
||
|
|
raises(NonSquareMatrixError, lambda: a.minor(0, 0))
|
||
|
|
raises(NonSquareMatrixError, lambda: a.cofactor_matrix())
|
||
|
|
|
||
|
|
def test_charpoly():
|
||
|
|
x, y = Symbol('x'), Symbol('y')
|
||
|
|
z, t = Symbol('z'), Symbol('t')
|
||
|
|
|
||
|
|
from sympy.abc import a,b,c
|
||
|
|
|
||
|
|
m = Matrix(3, 3, [1, 2, 3, 4, 5, 6, 7, 8, 9])
|
||
|
|
|
||
|
|
assert eye_Determinant(3).charpoly(x) == Poly((x - 1)**3, x)
|
||
|
|
assert eye_Determinant(3).charpoly(y) == Poly((y - 1)**3, y)
|
||
|
|
assert m.charpoly() == Poly(x**3 - 15*x**2 - 18*x, x)
|
||
|
|
raises(NonSquareMatrixError, lambda: Matrix([[1], [2]]).charpoly())
|
||
|
|
n = Matrix(4, 4, [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])
|
||
|
|
assert n.charpoly() == Poly(x**4, x)
|
||
|
|
|
||
|
|
n = Matrix(4, 4, [45, 0, 0, 0, 0, 23, 0, 0, 0, 0, 87, 0, 0, 0, 0, 12])
|
||
|
|
assert n.charpoly() == Poly(x**4 - 167*x**3 + 8811*x**2 - 173457*x + 1080540, x)
|
||
|
|
|
||
|
|
n = Matrix(3, 3, [x, 0, 0, a, y, 0, b, c, z])
|
||
|
|
assert n.charpoly() == Poly(t**3 - (x+y+z)*t**2 + t*(x*y+y*z+x*z) - x*y*z, t)
|