Exercise 13. For each pair of polynomials p(x), q(x) E P define (p, q) р(«)q(2) dx....
6. Let p;(xi = 0,... , n}, with degp;(x) = i, be a set of orthogonal polynomials with respect to the inner product f f(x)g(x) dx. Given a < b, let q(x) be the line mapping a to -1 and b to 1. Prove {p;(q(x))|i = 0,... , n} is a set of orthogonal polynomials with respect to the inner product f(x)g(x) dz, satisfying deg p;(q(x))= i - 6. Let p;(xi = 0,... , n}, with degp;(x) = i, be...
Q6 (4+3+3+ 6=16 marks) Let Xo, X1, X2 be three distinct real numbers. For polynomials p(x) and q(x), define < p(x),q(x) >= p(xo)q(x0) + p(x1)q(x1) + p(x2)q(22). Let p(n) denote the vector space of all polynomials with degree more no than n. (i) Show that < .. > is an inner product in P(2). (ii) Is < ... > an inner product in P(3)? Explain why. (iii) Is <,:> an inner product in P(1)? Explain why. (iv) Consider Xo =...
(1) We define an inner product on polynomials by (p(x), g(x) = } p(a)(ar)dx. d doc Compute the adjoint of the transformation : P2(R) + P1(R) using two different methods: (a) Coordinate-free: use the definition of the adjoint, d (P(x)), dx dx (b) Using coordinates: find the matrix of in terms of orthonormal bases for P2(R) and P1(R), take the transpose, and then translate back into polynomials. For example, you may use the orthonormal polynomials we found in Zoom question...
Question 2: For this question, consider the non-standard pairing on the space of real polynomials P given by g) = Lif(t)g(x).rº dr. (a) Prove that (,) defines an inner product on P. (b) Let O be the set of odd polynomials, i.e. f(r) € P such that f(x)= -f(-r). Show that is a subspace of P. (c) Explain why g() = 5x2 - 3 is in 0+ (the orthogonal complement of O with respect to (>). (d) Let P<2 denote...
1. Let 21,...,m ER be m distinct real numbers. Define m (p, q)m = p(x;) g(x3), j=1 for all p, q E P = {real polynomials}. Does (-;-)m define an inner product on P? If so, then prove it. If not, then give a counterexample. For which n e N does (-:-)m define an inner product on Pn = {p € P: deg p <n}. Make sure to justify your answer fully!
Notice that these polynomials form an orthogonal set with this inner product. Find the best 1²-13 Let P2 have the inner product given by evaluation at -5, -1, 1, and 5. Let po(t) = 2, P1(t)=t, and q(t) = 12 approximation to p(t) = t by polynomials in Span{Po.P1,9}. The best approximation to p(t) = t by polynomials in Span{Po.P2,q} is
Problem 1. Let the inner prodct )be deined by (u.v)xu (x) v (x) dx, and let the norm |I-ll be defined by ull , ).Consider the target function f (x) with the approximating space P e', and work 2. Use Gram-Schmidt orthogonalization with this inner product to find orthogonal polynomials p (x) through degree four. Standardize your polynomials such that p, (1) 1 (b) Find the best degree 4 approximation to f(x) using the specified norm, and working with this...
Problem 1. Let the inner product (,) be defined by (u.v)xu (x)v (x) dx, and let the norm Iilbe defined by lIul-)Corhe target funtio), and work with the approximating space P4 Use Gram-Schmidt orthogonalization with this inner product to find orthogonal polynomials (x) through degree four. Standardize your polynomials such that p: (1) 1. (a) Form the five-by-five Gram matrix for this inner product with the basis functions p (x) degree 4 approximation o f (x) using the specified norm,...
Please write/type clearly. (1 point) Use the inner product < p, 2 >= P(-2)(-2) + p(0)q(0) + p(3)q(3) in P3 to find the orthogonal projection of p(x) = 3x2 + 6x – 8 onto the line L spanned by q(x) = = 2x2 – 3x – 9. projų (p) =
Problem 2. The Laguerre polynomials L (x) are orthogonal with respect to the inner product (u,u)=/o e-ru (x) u(x) dx and standardized so that L" (0) = 1 . In addition to their importance in numerical analysis, the La- guerre polynomials are notable for their use in electron orbitals in atoms Use Gram-Schmidt orthogonalization along with the standardization L(0)1 to find the Laguerre polynomials of degree ns4 The Laguerre polynomials obey the TTRR (n + 1) L" +1 (x) =...