X-Git-Url: http://gitweb.michael.orlitzky.com/?a=blobdiff_plain;f=mjo%2Forthogonal_polynomials.py;h=15c695611fb3e287c357075f45e55eeddf550f7f;hb=1bbade9f41ffbfe366b15d0db657f666bc1f025d;hp=0da947cd6f0bf21705f501ec4523868135ff658f;hpb=c649291bc271a68a94e172f1946abffb6e5d9fdd;p=sage.d.git diff --git a/mjo/orthogonal_polynomials.py b/mjo/orthogonal_polynomials.py index 0da947c..15c6956 100644 --- a/mjo/orthogonal_polynomials.py +++ b/mjo/orthogonal_polynomials.py @@ -1,7 +1,7 @@ from sage.all import * def legendre_p(n, x, a = -1, b = 1): - """ + r""" Returns the ``n``th Legendre polynomial of the first kind over the interval [a, b] with respect to ``x``. @@ -28,6 +28,10 @@ def legendre_p(n, x, a = -1, b = 1): returned. Otherwise, the value of the ``n``th polynomial at ``x`` will be returned. + SETUP:: + + sage: from mjo.orthogonal_polynomials import legendre_p + EXAMPLES: Create the standard Legendre polynomials in `x`:: @@ -60,15 +64,32 @@ def legendre_p(n, x, a = -1, b = 1): And finite field elements:: - sage: legendre_P(3, GF(11)(5)) + sage: legendre_p(3, GF(11)(5)) 8 + Solve a simple least squares problem over `[-\pi, \pi]`:: + + sage: a = -pi + sage: b = pi + sage: def inner_product(v1, v2): + ....: return integrate(v1*v2, x, a, b) + sage: def norm(v): + ....: return sqrt(inner_product(v,v)) + sage: def project(basis, v): + ....: return sum( inner_product(v, b)*b/norm(b)**2 + ....: for b in basis) + sage: f = sin(x) + sage: legendre_basis = [ legendre_p(k, x, a, b) for k in range(4) ] + sage: proj = project(legendre_basis, f) + sage: proj.simplify_trig() + 5/2*(7*(pi^2 - 15)*x^3 - 3*(pi^4 - 21*pi^2)*x)/pi^6 + TESTS: We should agree with Maxima for all `n`:: sage: eq = lambda k: bool(legendre_p(k,x) == legendre_P(k,x)) - sage: all([eq(k) for k in range(0,20) ]) # long time + sage: all( eq(k) for k in range(20) ) # long time True We can evaluate the result of the zeroth polynomial:: @@ -172,6 +193,6 @@ def legendre_p(n, x, a = -1, b = 1): # From Abramowitz & Stegun, (22.3.2) with alpha = beta = 0. # Also massaged to support finite field elements. - P = sum([ c(m)*g(m) for m in range(0,n+1) ])/(2**n) + P = sum( c(m)*g(m) for m in range(n+1) )/(2**n) return P