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Problem 6. Let V be a vector space (a) Let (--) : V x V --> R be an inner product. Prove that (-, -) is a bilinear f...
Problem 5. Given a vector space V, a bilinear form on V is a function f : V x V -->R satisfying the following four c...
Problem 5. Given a vector space V, a bilinear form on V is a function f : V x V -->R satisfying the following four conditions: f(u, wf(ū, ) + f(7,i) for every u, õ, wE V. f(u,ū+ i) = f(u, u) + f(ū, w) for every ā, v, w E V. f(ku, kf (ū, v) for every ū, uE V and for every k E R f(u, ku) = kf(u, u) for every u,uE V and for every k...
Problem 4. Let n E N. We consider the vector space R” (a) Prove that for...
Problem 4. Let n E N. We consider the vector space R” (a) Prove that for all X, Y CR”, if X IY then Span(X) 1 Span(Y). (b) Let X and Y be linearly independent subsets of R”. Prove that if X IY, then X UY is linearly independent. (C) Prove that every maximally pairwise orthogonal set of vectors in R” has n + 1 elements. Definition: Let V be a vector space and let U and W be subspaces...
Let V be a finite dimensional vector space over R with an inner product 〈x, y〉 ∈ R for x, y ∈ V . (a) (3points) Let λ∈...
Let V be a finite dimensional vector space over R with an inner product 〈x, y〉 ∈ R for x, y ∈ V . (a) (3points) Let λ∈R with λ>0. Show that 〈x,y〉′ = λ〈x,y〉, for x,y ∈ V, (b) (2 points) Let T : V → V be a linear operator, such that 〈T(x),T(y)〉 = 〈x,y〉, for all x,y ∈ V. Show that T is one-to-one. (c) (2 points) Recall that the norm of a vector x ∈ V...
Problem 3 (Inner Products). (a) Let V, W be two finite dimensional vector spaces, dim V = n, dim ...
Problem 3 (Inner Products). (a) Let V, W be two finite dimensional vector spaces, dim V = n, dim W-m and V x W-+ R be a bilinear function, i.e., for each a V and b E W: 1(a, r-Ay)-I(a,r) + λ|(a, y), for all r, y W, λ ε R and 1(u + λν, b)-1(u, b) + λ|(u, b), for all u, u ε ν, λ ε R. Thus for each fixed a E V, W 14-R is a...
17] Let V be an n-dimensional real vector space. An inner product on V is a map g : V × V → R sat...
17] Let V be an n-dimensional real vector space. An inner product on V is a map g : V × V → R satisfying the following propertics The map g is bilinear. That is, for all v, v1, V2, w, w1, W2 CV and all t1,2 ER The map g is symmetric. That is, g(v, w) g(w, v) for all v, weV. The map g is positive definite. That is, g(v,v) 0 for a v e V with equality...
(4) Let V and W be vector spaces over R: consider the free vector space F(V × W) on the Cartesian...
(4) Let V and W be vector spaces over R: consider the free vector space F(V × W) on the Cartesian product V x W of V and W. Given an element (v, w) of V x W, we view (v, w) as an element of F(V x W) via the inclusion map i : V x W F(V x W) Any element of F(V x W) is a finite linear combination of such elements (v, w) Warning. F(V ×...
3. Let V-CỦ-π, π]), the vector space of continuous functions on [-π, π]. Let (a) Prove that ( , )...
3. Let V-CỦ-π, π]), the vector space of continuous functions on [-π, π]. Let (a) Prove that ( , ) is an inner product (b) Let S-{sin r, cos z, sin 2r, cos 2r, sin 3x, cos 3x,...n-1,2,. Show that S is a set of orthonormal vectors
3. Let V-CỦ-π, π]), the vector space of continuous functions on [-π, π]. Let (a) Prove that ( , ) is an inner product (b) Let S-{sin r, cos z, sin 2r, cos...
Problem 4. Let V be the vector space of all infinitely differentiable functions f: [0, ]...
Problem 4. Let V be the vector space of all infinitely differentiable functions f: [0, ] -» R, equipped with the inner product f(t)g(t)d (f,g) = (a) Let UC V be the subspace spanned by B = (sinr, cos x, 1) (you may assume without proof that B is linearly independent, and hence a basis for U). Find the B-matrix [D]93 of the "derivative linear transformation" D : U -> U given by D(f) = f'. (b) Let WC V...
Problem 4. Let n E N, and let V be an n-dimensional vector space. Let(, ,):...
Problem 4. Let n E N, and let V be an n-dimensional vector space. Let(, ,): V × V → R be an nner product on V (a) Prove that there exists an isomorphism T: V -R" such that (b) Is the isomorphism T you found in part (a) unique? Give a proof or a counterexample. (c) Let A be an n × n symmetric matrix such that T A > 0 for all nonzero ERT. Show that there exists...
Orthogonal projections. In class we showed that if V is a finite-dimensional inner product space ...
Orthogonal projections. In class we showed that if V is a finite-dimensional inner product space and U-V s a subspace, then U㊥ U↓-V, (U 1-U, and Pb is well-defined Inspecting the proofs, convince yourself that all that was needed was for U to be finite- dimensional. (In fact, your book does it this way). Then answer the following questions (a) Let V be an inner product space. Prove that for any u V. if u 0, we have proj, Pspan(v)...
Problem 5. Given a vector space V, a bilinear form on V is a function f : V x V -->R satisfying the following four conditions: f(u, wf(ū, ) + f(7,i) for every u, õ, wE V. f(u,ū+ i) = f(u, u) + f(ū, w) for every ā, v, w E V. f(ku, kf (ū, v) for every ū, uE V and for every k E R f(u, ku) = kf(u, u) for every u,uE V and for every k...
Problem 4. Let n E N. We consider the vector space R” (a) Prove that for all X, Y CR”, if X IY then Span(X) 1 Span(Y). (b) Let X and Y be linearly independent subsets of R”. Prove that if X IY, then X UY is linearly independent. (C) Prove that every maximally pairwise orthogonal set of vectors in R” has n + 1 elements. Definition: Let V be a vector space and let U and W be subspaces...
Problem 3 (Inner Products). (a) Let V, W be two finite dimensional vector spaces, dim V = n, dim W-m and V x W-+ R be a bilinear function, i.e., for each a V and b E W: 1(a, r-Ay)-I(a,r) + λ|(a, y), for all r, y W, λ ε R and 1(u + λν, b)-1(u, b) + λ|(u, b), for all u, u ε ν, λ ε R. Thus for each fixed a E V, W 14-R is a...
17] Let V be an n-dimensional real vector space. An inner product on V is a map g : V × V → R satisfying the following propertics The map g is bilinear. That is, for all v, v1, V2, w, w1, W2 CV and all t1,2 ER The map g is symmetric. That is, g(v, w) g(w, v) for all v, weV. The map g is positive definite. That is, g(v,v) 0 for a v e V with equality...
(4) Let V and W be vector spaces over R: consider the free vector space F(V × W) on the Cartesian product V x W of V and W. Given an element (v, w) of V x W, we view (v, w) as an element of F(V x W) via the inclusion map i : V x W F(V x W) Any element of F(V x W) is a finite linear combination of such elements (v, w) Warning. F(V ×...
3. Let V-CỦ-π, π]), the vector space of continuous functions on [-π, π]. Let (a) Prove that ( , ) is an inner product (b) Let S-{sin r, cos z, sin 2r, cos 2r, sin 3x, cos 3x,...n-1,2,. Show that S is a set of orthonormal vectors
3. Let V-CỦ-π, π]), the vector space of continuous functions on [-π, π]. Let (a) Prove that ( , ) is an inner product (b) Let S-{sin r, cos z, sin 2r, cos...
Problem 4. Let V be the vector space of all infinitely differentiable functions f: [0, ] -» R, equipped with the inner product f(t)g(t)d (f,g) = (a) Let UC V be the subspace spanned by B = (sinr, cos x, 1) (you may assume without proof that B is linearly independent, and hence a basis for U). Find the B-matrix [D]93 of the "derivative linear transformation" D : U -> U given by D(f) = f'. (b) Let WC V...
Problem 4. Let n E N, and let V be an n-dimensional vector space. Let(, ,): V × V → R be an nner product on V (a) Prove that there exists an isomorphism T: V -R" such that (b) Is the isomorphism T you found in part (a) unique? Give a proof or a counterexample. (c) Let A be an n × n symmetric matrix such that T A > 0 for all nonzero ERT. Show that there exists...
Orthogonal projections. In class we showed that if V is a finite-dimensional inner product space and U-V s a subspace, then U㊥ U↓-V, (U 1-U, and Pb is well-defined Inspecting the proofs, convince yourself that all that was needed was for U to be finite- dimensional. (In fact, your book does it this way). Then answer the following questions (a) Let V be an inner product space. Prove that for any u V. if u 0, we have proj, Pspan(v)...
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