Exemple #1
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 def __init__(self, ring):
     self.ring = ring
     self.zero = Space(ring, 0, name="N")  # null
     self.zero._dual = self.zero
     self.one = Space(ring, 1,
                      name="K")  # the underlying field is the tensor unit
     self.one._dual = self.one
Exemple #2
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    def mk_ising(m, n):
        U = Space(ring, m, 0, "U")
        V = Space(ring, n, 1, "V")

        A = Lin(U, V)  # U <--- V
        for i in range(m):
            A[i, i] = one
            if i + 1 < n:
                A[i, i + 1] = -one
        return A
Exemple #3
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def randchain(ring, n, m):
    V = Space(ring, n, 1, "V")
    U = Space(ring, m, 0, "U")
    B = Lin.rand(U, V)

    A = B.kernel()
    A = Lin(A.tgt, A.src.asgrade(2), A.A)  # yikes
    assert (B * A).is_zero()

    C = B.cokernel()
    C = Lin(C.tgt.asgrade(-1), C.src, C.A)
    assert (C * B).is_zero()

    c = Chain([A, B, C])
    return c
Exemple #4
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def test_gf():
    ring = GF(4)
    x = ring.x
    space = Space(ring)

    m = argv.get("m", 3)
    n = argv.get("n", 4)

    one = ring.one
    A = elim.zeros(ring, m, n)
    for i in range(m):
        for j in range(n):
            A[i, j] = choice(ring.elements)

    H = Lin(Space(ring, m, 0), Space(ring, n, 1), A)
    #print(H)

    c = Chain([H])
Exemple #5
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 def rand(tgt, src, mindim=0, maxdim=4, name="A"):  # tgt <---- src
     assert tgt.rig == src.rig
     rig = tgt.rig
     ring = rig.ring
     A = numpy.empty((tgt.n, src.n), dtype=object)
     for row in tgt:
         for col in src:
             n = randint(mindim, maxdim)
             A[row, col] = Space(ring, n, name="%s_%d%d" % (name, row, col))
     return Cell1(tgt, src, A)
Exemple #6
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def test_frobenius():

    # ----------------------------------------------------
    # Here we construct a Frobenius algebra object
    # See: https://math.ucr.edu/home/baez/week174.html

    #ring = element.Z # too slow
    class Ring(element.Type):
        one = 1
        zero = 0

    ring = Ring()

    rig = Rig(ring)
    m = Cell0(rig, 2, "m")
    n = Cell0(rig, 2, "n")
    #A = Cell1.rand(m, n, name="A") # too slow
    S = lambda n, name: Space(ring, n, 0, name)
    A = Cell1(m, n, [[S(2, "A0"), S(1, "A1")], [S(0, "A2"), S(1, "A3")]])
    #print(A.dimstr())
    make_frobenius(A)
Exemple #7
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def test_chain_tensor():
    #p = argv.get("p", 3)
    #ring = element.FiniteField(p)
    ring = element.Q

    space = Space(ring)

    m = argv.get("m", 3)
    n = argv.get("n", 4)

    one = ring.one
    if argv.toric:
        V = Space(ring, n, 1, "V")
        U = Space(ring, m, 0, "U")

        A = Lin(U, V)
        for i in range(m):
            A[i, i] = one
            A[i, (i + 1) % m] = -one
    elif argv.surface:
        V = Space(ring, m, 1, "V")
        U = Space(ring, m - 1, 0, "U")

        A = Lin(U, V)
        for i in range(m - 1):
            A[i, i] = one
            A[i, (i + 1) % m] = -one
    else:
        V = Space(ring, n, 1, "V")
        U = Space(ring, m, 0, "U")
        A = Lin.rand(U, V)

    c = Chain([A])
    print(c)

    c.dump()
Exemple #8
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def test_chainmap():

    p = argv.get("p", 2)
    ring = element.FiniteField(p)
    #ring = element.Q

    one = ring.one

    space = Space(ring)

    def mk_ising(m, n):
        U = Space(ring, m, 0, "U")
        V = Space(ring, n, 1, "V")

        A = Lin(U, V)  # U <--- V
        for i in range(m):
            A[i, i] = one
            if i + 1 < n:
                A[i, i + 1] = -one
        return A

    A = mk_ising(3, 4)
    c = Chain([A])

    f = c.identity()
    zero = ChainMap(c, c)
    assert f != zero
    assert f == f
    assert f != 2 * f
    assert f + f == 2 * f
    assert f - f == zero

    B = mk_ising(2, 2)
    d = Chain([B])

    fn = Lin(A.src, B.src)
    for i in range(len(B.src)):
        fn[i, i] = one

    fm = Lin(A.tgt, B.tgt)
    for i in range(len(B.tgt)):
        fm[i, i] = one

    f = ChainMap(c, d, [fn, fm])

    # -----------------------------------

    m, n = 8, 10
    V1 = Space(ring, n, 1, "V1")
    V0 = Space(ring, m, 0, "V0")
    A = Lin.rand(V0, V1)  # V0 <--- V1

    c = Chain([A])

    U0 = Space(ring, m, 0, "U0")
    f0 = Lin.rand(V0, U0)

    f1, B = A.pullback(f0)
    d = Chain([B])
    f = ChainMap(c, d, [f1, f0])

    # -----------------------------------
    # construct a chain map (and a chain) from a
    # pullback of a grade zero map.

    m, n, p = 5, 6, 1
    V1 = Space(ring, n, 1, "V1")
    V0 = Space(ring, m, 0, "V0")
    #A = Lin.rand(V0, V1) # V0 <--- V1
    A = Lin(V0, V1)
    for i in range(m):
        A[i, i] = one
        A[i, (i + 1)] = one

    a = Chain([A])
    #print("A:")
    #print(A)

    U0 = Space(ring, p, 0, "U0")
    f0 = Lin(V0, U0)
    for i in range(p):
        f0[i, i] = one

    f1, B = A.pullback(f0)
    b = Chain([B])
    #print("B:")
    #print(B)
    f = ChainMap(a, b, [f1, f0])
    #print(f0)
    #print(f1)

    g = ChainMap(a, b)
    h = f.coequalizer(g)
    #print(h)
    #print(h[0])
    #print(h[1])
    c = h.tgt
    C = c[0]
    #print(C.shape, C.rank())
    #print(C)

    # -----------------------------------
    # construct a 'puncture' of a repitition code
    # as a cokernel

    m, n, p = 5, 6, 1
    V1 = Space(ring, n, 1, "V1")
    V0 = Space(ring, m, 0, "V0")
    #A = Lin.rand(V0, V1) # V0 <--- V1
    A = Lin(V0, V1)
    for i in range(m):
        A[i, i] = one
        A[i, (i + 1)] = one

    a = Chain([A])

    U1 = Space(ring, 1, 1, "U1")
    U0 = Space(ring, 2, 0, "U0")
    B = Lin(U0, U1)
    B[0, 0] = one
    B[1, 0] = one
    b = Chain([B])

    offset = 2  # where to puncture

    f0 = Lin(V0, U0)
    f0[0 + offset, 0] = one
    f0[1 + offset, 1] = one

    f1 = Lin(V1, U1)
    f1[offset + 1, 0] = one

    f = ChainMap(a, b, [f1, f0])
    h = f.cokernel()
    c = h.tgt

    # -----------------------------------
    # Here we puncture a bit from a parity check matrix
    # by using a cokernel. This deletes that column,
    # as well as all the rows with support therein.

    m, n, p = 5, 6, 1
    V1 = Space(ring, n, 1, "V1")
    V0 = Space(ring, m, 0, "V0")
    A = Lin.rand(V0, V1)  # V0 <--- V1

    a = Chain([A])
    #print(A)
    col = 0
    rows = []
    for i in range(V0.n):
        if A[i, col]:
            rows.append(i)

    U1 = Space(ring, 1, 1, "U1")
    U0 = Space(ring, len(rows), 0, "U0")
    B = Lin(U0, U1)
    for i in range(U0.n):
        B[i, 0] = one
    b = Chain([B])
    #print(B)

    f0 = Lin(V0, U0)
    for i, row in enumerate(rows):
        f0[row, i] = one
    #print(f0)

    f1 = Lin(V1, U1)
    f1[col, 0] = one

    f = ChainMap(a, b, [f1, f0])
    h = f.cokernel()
    c = h.tgt
Exemple #9
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def main():

    # ----------------------------
    # Gaussian integers

    R = NumberRing((-1, 0))
    one = R.one
    i = R.i

    assert i * i == -one
    assert i**3 == -i

    assert (1 + i)**2 == 2 * i
    assert (2 + i) * (2 - i) == 5
    assert (3 + 2 * i) * (3 - 2 * i) == 13

    items = []
    i = R.i_find()
    while len(items) < 20:
        items.append(i.__next__())
    items.sort()
    #print(' '.join(str(x) for x in items))

    # reflection group
    i = R.i
    I = Mobius(R)
    a = Mobius(R, 1, 0, 0, 1, True)
    b = Mobius(R, i, 0, 0, 1, True)
    c = Mobius(R, -1, 0, 1, 1, True)
    d = Mobius(R, 0, 1, 1, 0, True)
    gens = [a, b, c, d]

    if 0:
        # yes, works...
        G = mulclose(gens, maxsize=100)
        for f in G:
            for g in G:
                for h in G:
                    assert f * (g * h) == (f * g) * h
        return

    # Coxeter reflection group: a--4--b--4--c--3--d
    for g in gens:
        assert g.order() == 2
    assert (a * b).order() == 4
    assert (a * c).order() == 2
    assert (a * d).order() == 2
    assert (b * c).order() == 4
    assert (b * d).order() == 2
    assert (c * d).order() == 3

    # rotation group
    a = Mobius(R, -i, 0, 0, 1)
    b = Mobius(R, -i, 0, i, 1)
    c = Mobius(R, 1, 1, -1, 0)

    assert a.order() == 4
    assert b.order() == 4
    assert c.order() == 3

    # ----------------------------
    # Eisenstein integers
    R = NumberRing((-1, -1))
    one = R.one
    i = R.i

    assert i**3 == 1
    assert 1 + i + i**2 == 0

    # ----------------------------
    # Kleinian integers
    R = NumberRing((-2, -1))
    one = R.one
    i = R.i

    assert i * (-1 - i) == 2
    assert i * (1 + i) == -2

    # ----------------------------
    # Golden (Fibonacci) integers
    R = NumberRing((1, 1))
    one = R.one
    i = R.i

    assert i**2 == i + 1
    assert i**3 == 2 * i + 1
    assert i**4 == 3 * i + 2

    # ----------------------------

    R = NumberRing((-1, 0))
    I = Ideal(R, 2 - R.i)
    S = R / I

    zero, one, i = S.zero, S.one, S.i

    assert 1 + i != 0
    assert 2 - i == 0
    assert 2 + i != 0
    assert 1 - i == 2 + i

    V = Space(S, 2)
    SL = S.get_sl(V)
    GL = S.get_gl(V)

    def lin(a, b, c, d):
        a = S.promote(a)
        b = S.promote(b)
        c = S.promote(c)
        d = S.promote(d)
        return Lin(V, V, [[a, b], [c, d]])

    # generators for SL
    gen = lin(0, 1, -1, 0), lin(1, 0, 1, 1), lin(1, 0, i, 1)
    G = mulclose(gen)
    assert len(G) == 120

    i = S.i
    I = Mobius(S)

    if 0:
        # This just does not work over S
        a = Mobius(S, 1, 0, 0, 1, True)
        b = Mobius(S, i, 0, 0, 1, True)
        c = Mobius(S, -1, 0, 1, 1, True)
        d = Mobius(S, 0, 1, 1, 0, True)
        gens = [a, b, c, d]
        G = mulclose(gens)
        inv = {}
        for g in G:
            for h in G:
                if g * h == I:
                    inv[g] = h
                    inv[h] = g
                assert (g == h) == (hash(g) == hash(h))
                for f in G:
                    print(g)
                    print(h)
                    print(f)
                    assert (g * h) * f == g * (h * f)
                    print()
        assert len(G) == 240
        return

        G, hom = cayley(G)
        assert len(G) == 240
        G.do_check()

        return

        # rotation group
        gens = [a * b, b * c, c * d]