How can I find three points such that $t_0,t_1,t_2\in [0,1]$ are so that the interpolation of Lagrange basis functions $k_0(t),k_1(t),k_2(t)$ associate with them are orthogonal to each other, that is $\int_0^1k_i(t)k_j(t)dt=0$ for any $i,j\in\{0,1,2\}$?
I know the Lagrange Basis functions are $$l_k(x):=\frac{\prod_{0\le i\le n,\ i\ne k} (x - x_i)}{\prod_{0\le i\le n, \ i\ne k} (x_k - x_i)}, \qquad k=0,\dots,n.$$
and if I let $x_0,...,x_n$ be distinct real numbers and $l_k(x)$ be the Lagrange's basis function then $\delta_n = ∏^n _{k=0}(x-x_k)$ which will lead that $\sum^n_{k=0}x^j_kl_k(x) ≡ x^j$, but how can I apply this to my question in gray? Any help will be greatly appreciated.
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– John K. Apr 29 '13 at 01:400.5sqrt(3/5)+0.5, 0.5, -0.5sqrt(3/5)+0.5.
Which is just the points from the linear transformation from [1,1] -> [0,1] from the nodes x0 = -sqrt(3/5), 0, sqrt(3/5). If you haven't seen Gaussian-Quadrature yet, just do it the way I presented in my original answer. I checked it on my calculator, it does work. This was an interesting problem.
– John K. Apr 29 '13 at 02:19