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        "value": "The shifted Legendre polynomials :math:`P_n^*` are related\nto the non-shifted polynomials :math:`P_n` by\n:math:`P_n^*(x) = P_n(2x - 1)`. We can verify this on the\ninterval :math:`[0, 1]`:\n\n"
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        "value": "import numpy as np\nfrom scipy.special import sh_legendre, legendre\nfrom scipy.integrate import trapezoid\nx = np.arange(0.0, 1.0, 0.01)\nn = 3\nnp.allclose(sh_legendre(n)(x), legendre(n)(2*x - 1))\n",
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        "value": "\nThe polynomials :math:`P_n^*` satisfy a recurrence\nrelation obtained by the change of variables\n:math:`t = 2x - 1` in the standard Legendre recurrence:\n\n.. math::\n\n    (n+1) P_{n+1}^*(x) = (2n+1)(2x-1)\\,P_n^*(x) - n\\,P_{n-1}^*(x).\n\nThis can be easily checked on :math:`[0, 1]`\nfor :math:`n = 3`:\n\n"
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        "value": "n = 3\nx = np.linspace(0.0, 1.0, 101)\nlhs = (n + 1) * sh_legendre(n + 1)(x)\nrhs = (\n    (2*n + 1) * (2*x - 1) * sh_legendre(n)(x)\n    - n * sh_legendre(n - 1)(x)\n)\nnp.allclose(lhs, rhs)\n",
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        "value": "\nOrthogonality over :math:`[0,1]` with weight 1 can be\nchecked numerically; for example, :math:`P_2^*`\nis orthogonal to :math:`P_3^*`:\n\n"
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        "value": "x = np.linspace(0.0, 1.0, 400)\ny = sh_legendre(2)(x) * sh_legendre(3)(x)\n",
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