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Problem set 5 for math 110: linear algebra. The problem set includes three parts, each with several problems. In the first part, students are asked to prove that two definitions of an inner product are equivalent and to find orthonormal polynomials using the gram-schmidt process. In the second part, students must show that a subspace is the entire vector space if it is the only subspace containing the zero vector. The optional third part includes problems on projections and finding the polynomial nearest to a given function. Each problem is worth 5 points.
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Problem Set 5 (due Friday October 8) MATH 110: Linear Algebra
Each part of each problem is worth 5 points. PART 1
Remember that the starred problem is non collaborative. Problem 1(10) An inner product on a vector space V is a function which assigns to each pair of vectors u, v in V a real number such that the following conditions are satisfied (c is any real number, w is any vector in V ):
(x, y) =
โซ (^1)
โ 1
x(t)y(t)dt.
Consider the subspace of C(R) generated by the polynomials { 1 , x, x^2 , x^3 , x^4 }. Use the Gram-Schmidt process to find polynomials y 0 , y 1 , y 2 , y 3 , y 4 that are orthonormal and span the same subspace. Problem 3 โ^ (10) Let U be a subspace of a vector space V. Show that if 0 is the only vector orthogonal to all the vectors in U then U = V. PART 3 - Optional Problem a) Let S be a finite dimensional subspace of a Euclidean space V and let e 1 , e 2 ,... , en be an orthonormal basis for S. For any x โ V , let
s =
โ^ n
i=
(x, ei)ei
be defined as the projection of x onto S. Prove that for any t โ S,
โ x โ s โโคโ x โ t โ
with equality iff t = s. b) Find the linear polynomial nearest to sin ฯt on the interval [โ 1 , 1] (Here nearest is based on defining norm using the inner product defined in problem 3).