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MINT HHU 2018 Vortrag R. Braun

Project: Vorträge
Views: 67
Kernel: SageMath (stable)
%display latex

Ableitungen

x = var('x') f = x^2 * exp(2*x+3) f
f.diff(x)
f.diff(x).collect(exp(2*x+3))
f.diff(x, x).collect(exp(2*x+3))
f.diff(x).factor()
df = f.diff(x)

Integration

ff = df.integral(x) ff
ff.factor()

Matrizen

M = Matrix([[1,2,3], [4,5,6], [7,8,9]]) M
M.kernel()
M * vector([1,-2,1])

Gewöhnliche Differentialgleichungen

phi = function('\phi') y = phi(x) y
dgl = y.diff(x,x) + 4*y == 0 dgl
lsg = desolve(dgl, y) lsg
lsg.variables()
K1, K2, dummy = lsg.variables() y1 = lsg.subs({K1: 1, K2: 0}) y2 = lsg.subs({K1: 0, K2: 1}) y1, y2
pl1 = plot(y1, -5, 5) pl2 = plot(y2, -5, 5, color='red') pl1 + pl2
Image in a Jupyter notebook
dgl = y.diff(x) == sqrt(x*y) dgl
lsg = desolve(dgl, y) lsg
lsg2 = solve(lsg, y)[0] lsg2
glg2 = (lsg2^2).expand().canonicalize_radical() glg2
lsg3 = solve(glg2, y) lsg3
g = lsg3[0].rhs() g.variables()
C = g.variables()[0]
pl1 = plot(g.subs({C:0}), 0, 2, thickness=2) pl2 = plot(g.subs({C:-1}), 0, 2, color='red', thickness=2)
pl1 + pl2
Image in a Jupyter notebook
pl2a = plot(g.subs({C:-1}), 0, (3/2)^(2/3), color='red', thickness=2, linestyle="--") pl2b = plot(g.subs({C:-1}), (3/2)^(2/3), 2, color='red', thickness=2) pl3 = plot(g.subs({C:1}), 0, 1.4, color='green', thickness=2) pl1 + pl2a + pl2b + pl3
Image in a Jupyter notebook