Exemplo n.º 1
0
    def testlorentz(self):
        mu=g.varidx(g.symbol("mu"),4)
        e=g.delta_tensor(g.varidx(0,4),mu.toggle_variance())*\
            g.lorentz_g(mu,g.varidx(0,4))
        self.assertEqual(e.simplify_indexed(),1)

        e=g.delta_tensor(g.varidx(0,4),mu.toggle_variance())*\
            g.lorentz_g(mu,g.varidx(0,4),True)
        self.assertEqual(e.simplify_indexed(),-1)
Exemplo n.º 2
0
    def testdelta(self):
        i=g.idx(g.symbol("i"),3)
        j=g.idx(g.symbol("j"),3)
        k=g.idx(g.symbol("k"),3)
        l=g.idx(g.symbol("l"),3)
        A=g.symbol("A")
        B=g.symbol("B")

        e=g.indexed(A,i,j)*g.indexed(B,k,l)*g.delta_tensor(i,k)*\
            g.delta_tensor(j,l)
        self.assertEqual((e-g.indexed(A,k,l)*g.indexed(B,k,l)).
            simplify_indexed(),0)
        self.assertEqual((e-g.indexed(B,k,l)*g.indexed(A,k,l)).
            simplify_indexed(),0)
        self.assertEqual((e-g.indexed(A,i,l)*g.indexed(B,i,l)).
            simplify_indexed(),0)
        self.assertEqual((e-g.indexed(A,i,j)*g.indexed(B,i,j)).
            simplify_indexed(),0)
        self.assertNotEqual((e-g.indexed(A,i,i)*g.indexed(B,k,k)).
            simplify_indexed(),0)
        self.assertEqual(g.delta_tensor(i,i),3)
        self.assertNotEqual(g.delta_tensor(i,i),4)
Exemplo n.º 3
0
    def testmetric(self):
        mu=g.varidx(g.symbol("mu"),4)
        nu=g.varidx(g.symbol("nu"),4)
        rho=g.varidx(g.symbol("rho"),4)
        A=g.symbol("A")

        e=g.metric_tensor(mu,nu)*g.indexed(A,nu.toggle_variance(),rho)
        self.assertEqual(e.simplify_indexed(),g.indexed(A,mu,rho))
        self.assertNotEqual(e.simplify_indexed(),g.indexed(A,nu,rho))

        e=g.delta_tensor(mu,nu.toggle_variance())*g.metric_tensor(nu,rho)
        self.assertEqual(e.simplify_indexed(),g.metric_tensor(mu,rho))

        e=g.metric_tensor(mu.toggle_variance(),nu.toggle_variance())*\
            g.metric_tensor(nu,rho)
        self.assertEqual(e.simplify_indexed(),
            g.delta_tensor(mu.toggle_variance(),rho))

        e=g.metric_tensor(nu.toggle_variance(),rho.toggle_variance())*\
            g.metric_tensor(mu,nu)*(g.delta_tensor(mu.toggle_variance(),rho)+\
            g.indexed(A,mu.toggle_variance(),rho))
        self.assertEqual((e-(4+g.indexed(A,rho.toggle_variance(),rho))).
            simplify_indexed(),0)