math 4377/6308 advanced linear algebra - chapter 2 review and

9
Solution Math 4377/6308 Advanced Linear Algebra Chapter 2 Review and Solution to Problems Jiwen He Department of Mathematics, University of Houston [email protected] math.uh.edu/jiwenhe/math4377 Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 1/9

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Page 1: Math 4377/6308 Advanced Linear Algebra - Chapter 2 Review and

Solution

Math 4377/6308 Advanced Linear AlgebraChapter 2 Review and Solution to Problems

Jiwen He

Department of Mathematics, University of Houston

[email protected]/∼jiwenhe/math4377

Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 1 / 9

Page 2: Math 4377/6308 Advanced Linear Algebra - Chapter 2 Review and

Solution

Pb 2.1.15

Recall the definition of P(R) on page 10. Define

T : P(R)→ P(R) by T (f (x)) =

∫ x

0f (t)dt.

Prove that T is linear and one-to-one, but not onto.

Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 2 / 9

Page 3: Math 4377/6308 Advanced Linear Algebra - Chapter 2 Review and

Solution

Pb 2.1.35(a)

Let V be a finite-dimensional vector space and T : V → V belinear.

(a) Suppose that V = R(T ) + N(T ). Prove thatV = R(T )⊕ N(T ).

Be careful to say in each part where finite-dimensionality is used.

Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 3 / 9

Page 4: Math 4377/6308 Advanced Linear Algebra - Chapter 2 Review and

Solution

Pb 2.1.35(a)

(b) Suppose that R(T ) ∩ N(T ) = {0}. Prove thatV = R(T )⊕ N(T ).

Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 4 / 9

Page 5: Math 4377/6308 Advanced Linear Algebra - Chapter 2 Review and

Solution

Pb 2.2.12

Let V be a finite-dimensional vector space and T be the projectionon W along W ′ where W and W ′ are subspaces of V such thatV = W ⊕W ′. (Recall that a function T : V → V is called theprojection on W along W ′ if, for x = x1 + x2 with x1 ∈W andx2 ∈W ′, we have T (x) = x1. Find an ordered basis β for V suchthat [T ]β is a diagonal matrix.

Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 5 / 9

Page 6: Math 4377/6308 Advanced Linear Algebra - Chapter 2 Review and

Solution

Pb 2.3.17

Let V be a vector space. Determine all linear transformationsT : V → V such that T = T 2. Hint: Note thatx = T (x) + (x − T (x)) for every x ∈ V , and show thatV = {y : T (y) = y} ⊕ N(T ) (see the exercises of Section 1.3).

Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 6 / 9

Page 7: Math 4377/6308 Advanced Linear Algebra - Chapter 2 Review and

Solution

Pb 2.4.17(a)

Let V and W be finite-dimensional vector spaces and T : V →Wbe an isomorphism. Let V0 be a subspace of V .

(a) Prove that T (V0) is a subspace of W .

Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 7 / 9

Page 8: Math 4377/6308 Advanced Linear Algebra - Chapter 2 Review and

Solution

Pb 2.4.17(b)

(b) Prove that dim(V0) = dim(T (V0)).

Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 8 / 9

Page 9: Math 4377/6308 Advanced Linear Algebra - Chapter 2 Review and

Solution

Pb 2.5.8

Prove the following generalization of Theorem 2.33. LetT : V →W be a linear transformation from a finite-dimensionalvector space V to a finite-dimensional vector space W . Let β andβ′ be ordered bases for V , and let γ and γ′ be ordered bases for

W . Then [T ]γ′

β′ = P−1[T ]γβQ, where Q is the matrix that changesβ′-coordinates into β-coordinates and P is the matrix that changesγ′-coordinates into γ-coordinates.

Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 9 / 9