Exercises 3F [[3F-1]]Β Explain why each linear functional is surjective or is the zero map. [[3F-2]] Β Give three distinct examples of linear functionals on 𝐑[0,1]. [[3F-3]] Β Suppose 𝑉 is finite-dimensional and 𝑣 ∈ 𝑉 with 𝑣 =ΜΈ 0. Prove that there exists πœ‘ ∈ 𝑉′ such that πœ‘(𝑣) = 1. [[3F-4]] Β Suppose 𝑉 is finite-dimensional and π‘ˆ is a subspace of 𝑉 such that π‘ˆ =ΜΈ 𝑉. Provethatthereexistsπœ‘ ∈ 𝑉′ suchthatπœ‘(𝑒) = 0forevery𝑒 ∈ π‘ˆbutπœ‘ =ΜΈ 0. [[3F-5]] Β Suppose 𝑇 ∈ L(𝑉, π‘Š) and 𝑀1, ..., π‘€π‘š is a basis of range 𝑇. Hence for each 𝑣 ∈ 𝑉, there exist unique numbers πœ‘1(𝑣), ..., πœ‘π‘š(𝑣) such that 𝑇𝑣 = πœ‘1(𝑣)𝑀1 + β‹― + πœ‘π‘š(𝑣)π‘€π‘š, thus defining functions πœ‘1, ..., πœ‘π‘š from 𝑉 to 𝐅. Show that each of the functions πœ‘1, ..., πœ‘π‘š is a linear functional on 𝑉. [[3F-6]] Β Suppose πœ‘, 𝛽 ∈ 𝑉′. Prove that null πœ‘ βŠ† null 𝛽 if and only if there exists 𝑐 ∈ 𝐅 such that 𝛽 = π‘πœ‘. [[3F-7]] Β Suppose that 𝑉1,...,π‘‰π‘š are vector spaces. Prove that (𝑉1 Γ—β‹―Γ—π‘‰π‘š)β€² and 𝑉1β€² Γ— β‹― Γ— π‘‰π‘šβ€² are isomorphic vector spaces. [[3F-8]] Β Suppose 𝑣1, ..., 𝑣𝑛 is a basis of 𝑉 and πœ‘1, ..., πœ‘π‘› is the dual basis of 𝑉′. Define Ξ“βˆΆ 𝑉 β†’ 𝐅𝑛 and Ξ›βˆΆ 𝐅𝑛 β†’ 𝑉 by Ξ“(𝑣) = (πœ‘1(𝑣), ..., πœ‘π‘›(𝑣)) and Ξ›(π‘Ž1, ..., π‘Žπ‘›) = π‘Ž1𝑣1 + β‹― + π‘Žπ‘›π‘£π‘›. Explain why Ξ“ and Ξ› are inverses of each other. [[3F-9]] Β Suppose π‘š is a positive integer. Show that the dual basis of the basis 1,π‘₯,...,π‘₯π‘š of π’«π‘š(𝐑) is πœ‘0,πœ‘1,...,πœ‘π‘š, where πœ‘π‘˜(𝑝) = 𝑝(π‘˜)(0)/ π‘˜! Here 𝑝(π‘˜) denotes the π‘˜th derivative of 𝑝, with the understanding that the 0th derivative of 𝑝 is 𝑝. [[3F-10]] Β Suppose π‘š is a positive integer. (a) Show that 1,π‘₯ βˆ’ 5,...,(π‘₯ βˆ’ 5)π‘š is a basis of π’«π‘š(𝐑). (b) What is the dual basis of the basis in (a)? [[3F-11]] Β Suppose 𝑣1, ..., 𝑣𝑛 is a basis of 𝑉 and πœ‘1, ..., πœ‘π‘› is the corresponding dual basis of 𝑉′. Suppose πœ“ ∈ 𝑉′. Prove that πœ“ = πœ“(𝑣1)πœ‘1 + β‹― + πœ“(𝑣𝑛)πœ‘π‘›. Prove that πœ“ = πœ“(𝑣1)πœ‘1 + β‹― + πœ“(𝑣𝑛)πœ‘π‘›. [[3F-12]] Β Suppose 𝑆,𝑇 ∈ L(𝑉,π‘Š). (a) Prove that (𝑆+𝑇)β€² =𝑆′ +𝑇′. (b) Prove that (πœ†π‘‡)β€² = πœ†π‘‡β€² for all πœ† ∈ 𝐅. This exercise asks you to verify (a) and (b) in 3.120. [[3F-13]] Β Show that the dual map of the identity operator on 𝑉 is the identity operator on 𝑉′. [[3F-14]] Β Defineπ‘‡βˆΆπ‘3→𝐑2by 𝑇(π‘₯,𝑦,𝑧) = (4π‘₯+5𝑦+6𝑧,7π‘₯+8𝑦+9𝑧). Suppose πœ‘1,πœ‘2 denotes the dual basis of the standard basis of 𝐑2 and πœ“1, πœ“2, πœ“3 denotes the dual basis of the standard basis of 𝐑3. (a) Describe the linear functionals 𝑇′(πœ‘1) and 𝑇′(πœ‘2). (b) Write 𝑇′(πœ‘1) and 𝑇′(πœ‘2) as linear combinations of πœ“1, πœ“2, πœ“3. [[3F-15]] Β Defineπ‘‡βˆΆπ’«(𝐑)→𝒫(𝐑)by (𝑇𝑝)(π‘₯) = π‘₯2𝑝(π‘₯) + 𝑝′′(π‘₯) for each π‘₯ ∈ 𝐑. 1. (a) Β Suppose πœ‘ ∈ 𝒫(𝐑)β€² is defined by πœ‘(𝑝) = 𝑝′(4). Describe the linear functional 𝑇′(πœ‘) on 𝒫(𝐑). 2. (b) Β Suppose πœ‘ ∈ 𝒫(𝐑)β€² is defined by πœ‘(𝑝) = ∫1 𝑝. Evaluate (𝑇′(πœ‘))(π‘₯3). 0 [[3F-16]] Β Suppose π‘Š is finite-dimensional and 𝑇 ∈ L(𝑉, π‘Š). Prove that 𝑇′ = 0 ⟺ 𝑇 = 0. [[3F-17]] Β Suppose 𝑉 and π‘Š are finite-dimensional and 𝑇 ∈ L(𝑉, π‘Š). Prove that 𝑇 is invertible if and only if 𝑇′ ∈ L(π‘Šβ€², 𝑉′) is invertible. [[3F-18]] Β Suppose 𝑉 and π‘Š are finite-dimensional. Prove that the map that takes 𝑇 ∈ L(𝑉, π‘Š) to 𝑇′ ∈ L(π‘Šβ€², 𝑉′) is an isomorphism of L(𝑉, π‘Š) onto L(π‘Šβ€², 𝑉′). [[3F-19]] Β Suppose π‘ˆ βŠ† 𝑉. Explain why π‘ˆ0 = {πœ‘ ∈ 𝑉′ βˆΆπ‘ˆ βŠ† nullπœ‘}. [[3F-20]] Β Suppose 𝑉 is finite-dimensional and π‘ˆ is a subspace of 𝑉. Show that π‘ˆ = {𝑣 ∈ 𝑉 ∢ πœ‘(𝑣) = 0 for every πœ‘ ∈ π‘ˆ0}. [[3F-21]] Β Suppose 𝑉 is finite-dimensional and π‘ˆ and π‘Š are subspaces of 𝑉. (a) Prove that π‘Š0 βŠ†π‘ˆ0 if and only if π‘ˆβŠ†π‘Š. (b) Prove that π‘Š0 =π‘ˆ0 if and only if π‘ˆ=π‘Š. [[3F-22]] Β Suppose 𝑉 is finite-dimensional and π‘ˆ and π‘Š are subspaces of 𝑉. (a) Show that (π‘ˆ + π‘Š)0 = π‘ˆ0 ∩ π‘Š0. (b) Show that (π‘ˆ ∩ π‘Š)0 = π‘ˆ0 + π‘Š0. [[3F-23]] Β Suppose 𝑉 is finite-dimensional and πœ‘1, ..., πœ‘π‘š ∈ 𝑉′. Prove that the following three sets are equal to each other. (a) span(πœ‘1, ..., πœ‘π‘š) (b) ((nullπœ‘ ) ∩ β‹― ∩ (nullπœ‘ ))0 (c) {πœ‘ ∈ 𝑉′ ∢ (nullπœ‘1) ∩ β‹― ∩ (nullπœ‘π‘š) βŠ† nullπœ‘} [[3F-24]] Β Suppose 𝑉 is finite-dimensional and 𝑣1, ..., π‘£π‘š ∈ 𝑉. Define a linear map Ξ“βˆΆπ‘‰β€² β†’π…π‘š byΞ“(πœ‘)=(πœ‘(𝑣1),...,πœ‘(π‘£π‘š)). (a) Prove that 𝑣1, ..., π‘£π‘š spans 𝑉 if and only if Ξ“ is injective. (b) Prove that 𝑣1, ..., π‘£π‘š is linearly independent if and only if Ξ“ is surjective. [[3F-25]] Β Suppose 𝑉 is finite-dimensional and πœ‘1, ..., πœ‘π‘š ∈ 𝑉′. Define a linear map Ξ“βˆΆπ‘‰β†’π…π‘š byΞ“(𝑣)=(πœ‘1(𝑣),...,πœ‘π‘š(𝑣)). (a) Prove that πœ‘1, ..., πœ‘π‘š spans 𝑉′ if and only if Ξ“ is injective. (b) Prove that πœ‘1, ..., πœ‘π‘š is linearly independent if and only if Ξ“ is surjective. [[3F-26]] Β Suppose 𝑉 is finite-dimensional and Ξ© is a subspace of 𝑉′. Prove that Ξ© = {𝑣 ∈ 𝑉 ∢ πœ‘(𝑣) = 0 for every πœ‘ ∈ Ξ©}0. [[3F-27]] Β Suppose 𝑇 ∈ L(𝒫5(𝐑)) and null𝑇′ = span(πœ‘), where πœ‘ is the linear functional on 𝒫5(𝐑) defined by πœ‘(𝑝) = 𝑝(8). Prove that range 𝑇 = {𝑝 ∈ 𝒫5(𝐑) ∢ 𝑝(8) = 0}. [[3F-28]] Β Suppose 𝑉 is finite-dimensional and πœ‘1, ..., πœ‘π‘š is a linearly independent list in 𝑉′. Prove that dim((null πœ‘1) ∩ β‹― ∩ (null πœ‘π‘š)) = (dim 𝑉) βˆ’ π‘š. [[3F-29]] Β Suppose 𝑉 and π‘Š are finite-dimensional and 𝑇 ∈ L(𝑉, π‘Š). (a) Prove that if πœ‘ ∈ π‘Šβ€² and null 𝑇′ = span(πœ‘), then range 𝑇 = null πœ‘. (b) Prove that if πœ“ ∈ 𝑉′ and range 𝑇′ = span(πœ“), then null 𝑇 = null πœ“. [[3F-30]] Β Suppose 𝑉 is finite-dimensional and πœ‘1, ..., πœ‘π‘› is a basis of 𝑉′. Show that there exists a basis of 𝑉 whose dual basis is πœ‘1, ..., πœ‘π‘›. [[3F-31]] Β Suppose π‘ˆ is a subspace of 𝑉. Let 𝑖 ∢ π‘ˆ β†’ 𝑉 be the inclusion map defined by 𝑖(𝑒) = 𝑒. Thus 𝑖′ ∈ L(𝑉′, π‘ˆβ€²). 1. (a) Β Showthatnull𝑖′ =π‘ˆ0. 2. (b) Β Prove that if 𝑉 is finite-dimensional, then range 𝑖′ = π‘ˆβ€². 3. (c) Β Prove that if 𝑉 is finite-dimensional, then 𝑖′̃ is an isomorphism from 𝑉′/π‘ˆ0 onto π‘ˆβ€². The isomorphism in (c) is natural in that it does not depend on a choice of basis in either vector space. [[3F-32]] The double dual space of 𝑉, denoted by 𝑉′′, is defined to be the dual space of 𝑉′. In other words, 𝑉′′ = (𝑉′)β€². Define Ξ›βˆΆ 𝑉 β†’ 𝑉′′ by (Λ𝑣)(πœ‘) = πœ‘(𝑣) for each 𝑣 ∈ 𝑉 and each πœ‘ ∈ 𝑉′. 1. (a) Β Show that Ξ› is a linear map from 𝑉 to 𝑉′′. 2. (b) Β Showthatifπ‘‡βˆˆL(𝑉),thenπ‘‡β€²β€²βˆ˜Ξ›=Ξ›βˆ˜π‘‡,where𝑇′′ =(𝑇′)β€². 3. (c) Β Showthatif𝑉isfinite-dimensional,then Ξ› is an isomorphism from 𝑉 onto 𝑉′′. Suppose 𝑉 is finite-dimensional. Then 𝑉 and 𝑉′ are isomorphic, but finding an isomorphism from 𝑉 onto 𝑉′ generally requires choosing a basis of 𝑉. In contrast, the isomorphism Ξ› from 𝑉 onto 𝑉′′ does not require a choice of basis and thus is considered more natural. [[3F-33]] Suppose π‘ˆis a subspace of 𝑉. Let πœ‹βˆΆπ‘‰β†’π‘‰/π‘ˆ be the usual quotient map. Thus πœ‹β€² ∈ L((𝑉 π‘ˆ)', 𝑉′). (a) Show that πœ‹β€² is injective. (b) Show that range πœ‹β€² = π‘ˆ0. (c) Conclude that πœ‹β€² is an isomorphism from (𝑉/π‘ˆ)β€² onto π‘ˆ0. The isomorphism in (c) is natural in that it does not depend on a choice of basis in either vector space. In fact, there is no assumption here that any of these vector spaces are finite-dimensional. ---