For a polynomial equation of degree n ,
, whose roots are
we have the relation between the roots and the coefficients as :
Here we have
where 4 , 5 , 6 , 7 , 8 are the roots of P(x)=0
Thus from the above mentioned relation , we have
6. For p > 0, let fe(r) = r-ı (logr)-p. (a) Give p > 0 and e> 0, show that x-1-e 〈 fe(x) < x-1 forsufficiently large (b) For which p does J2cb(x)dx converge.
6. For p > 0, let fe(r) = r-ı (logr)-p. (a) Give p > 0 and e> 0, show that x-1-e 〈 fe(x)
Problem 4 Let V be the vector space of functions of the form f(x) = e-xp(x), where p(x) is a polynomial of degree (a) Find the matrix of the derivative operator D = d/dx : V → V in the basis ek = e-xXk/k!, k = 0, 1, . .. , n, of V. (b) Find the characteristic polynomial of D. (c) Find the minimal polynomial of D n.
Problem 4 Let V be the vector space of functions of...
3. Use the probability generating function Px)(s) to find (a) E[X(10)] (b) VarX(10)] (c) P(X(5)-2) . ( 4.2 Probability Generating Functions The probability generating function (PGF) is a useful tool for dealing with discrete random variables taking values 0,1, 2, Its particular strength is that it gives us an easy way of characterizing the distribution of X +Y when X and Y are independent In general it is difficult to find the distribution of a sum using the traditional probability...
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,...
(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...
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...
Exercise 13. For each pair of polynomials p(x), q(x) E P define (p, q) р(«)q(2) dx. -1 inner product (i) Prove that (p, q) defines on P3 an orthogonal (ii) Show that 1, х are (iii) Find the angle between 1 and 1 + x.
Exercise 13. For each pair of polynomials p(x), q(x) E P define (p, q) р(«)q(2) dx. -1 inner product (i) Prove that (p, q) defines on P3 an orthogonal (ii) Show that 1, х are...
A2 Let X B(n,p) with known n. Then E(X) np and Var (X) np(1- p). Let p X be an estimator of p. a. If n is large (large enough np> 10 and n(1 - p)> 10), what is the (approximate) distri- bution of p? b. We talked in class that providing a confidence interval is "better" than a point esti- mate. Suppose X = 247 (247 successes) is observed in B(450, p) experiment. Suggest a 95% confidence interval for...
2. Suppose that ξι, ξ2, . . . are 1.1.d. RVs with Εξι-μ and Var (6)-σ2 E (0,00). Set X-3kE+2,1,2,, and let Sn X+Xn, n21 (a) Compute EXk, Var (Xk) and Cov (Xj Xk) for j k (b) Find the limit lim P r E R nVar (X1) 72 →00 as a sum of independent RVs. From the form of the expression in (1), one could expect that the answer will be in terms of the standard normal DF 1,...
Problem 4 Let V be the vector space of functions of the form f(x) = e-xp(x), where p(x) is a polynomial of degree (a) Find the matrix of the derivative operator D = d/dx : V → V in the basis ek = e-xXk/k!, k = 0, 1, . .. , n, of V. (b) Find the characteristic polynomial of D. (c) Find the minimal polynomial of D n.