math 4377/6308 advanced linear algebra - chapter 1 review and
TRANSCRIPT
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Review Solution
Math 4377/6308 Advanced Linear AlgebraChapter 1 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 / 19
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Review Solution
Every vector space has a unique additive identity.
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 2 / 19
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Review Solution
Every v ∈ V has a unique additive inverse.
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 3 / 19
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Review Solution
0v = 0 for all v ∈ V .
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 4 / 19
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Review Solution
a0 = 0 for all a ∈ F .
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 5 / 19
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Review Solution
(−1)v = −v for every v ∈ V .
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 6 / 19
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Review Solution
The list of vectors (v1, · · · , vm) is linearly independent if and onlyif every v ∈ span(v1, · · · , vm) can be uniquely written as a linearcombination of (v1, · · · , vm).
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 7 / 19
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Review Solution
Linear Dependence Lemma
If (v1, · · · , vm) is linearly dependent and v1 6= 0, then there existsj ∈ {2, · · · ,m} such that the following two conditions hold.
1. vj ∈ span(v1, · · · , vj−1).
2. If vj is removed from (v1, · · · , vm), thenspan(v1, · · · , v̂j , · · · , vm) = span(v1, · · · , vm).
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 8 / 19
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Review Solution
Let (v1, · · · , vm) be a linearly independent list of vectors that spansV , and let (w1, · · · ,wn) be any list that spans V . Then m ≤ n.
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 9 / 19
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Review Solution
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 10 / 19
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Review Solution
Basis Reduction Theorem
If V = span(v1, · · · , vm), then either (v1, · · · , vm) is a basis of Vor some vi can be removed to obtain a basis of V .
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 11 / 19
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Review Solution
Basis Extension Theorem
Every linearly independent list of vectors in a finite-dimensionalvector space V can be extended to a basis of V .
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 12 / 19
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Review Solution
Pb 1.2.16
Let V denote the set of all m × n matrices with real entries; so Vis a vector space over R by Example 2. Let F be the field ofrational numbers. Is V a vector space over F with the usualdefinitions of matrix addition and scalar multiplication?
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 13 / 19
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Review Solution
Pb 1.3.23
Let W1 and W2 be subspaces of a vector space V .
a. Prove that W1 + W2 is a subspace of V that contains bothW1 and W2.
b. Prove that any subspace of V that contains both W1 and W2
must also contain W1 + W2.
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 14 / 19
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Review Solution
Pb 1.4.12
Show that a subset W of a vector space V is a subspace of V ifand only if span(W ) = W .
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 15 / 19
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Review Solution
Pb 1.5.18
Let S be a set of nonzero polynomials in P(F ) such that no twohave the same degree. Prove that S is linearly independent.
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 16 / 19
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Review Solution
Pb 1.6.14
Find base for the following subspaces of F 5:
W1 = {(a1, a2, a3, a4, a5) ∈ F 5 | a1 − a3 − a4 = 0}
and
W2 = {(a1, a2, a3, a4, a5) ∈ F 5 | a2 = a3 = a4 and a1 + a5 = 0}.
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 17 / 19
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Review Solution
Pb 1.6.33(a)
a. Let W1 and W2 be subspaces of a vector space V such thatV = W1 ⊕W2. If β1 and β2 are bases for W1 and W2,respectively, show that β1 ∩ β2 = ∅ and β1 ∪ β2 is a basis forV .
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 18 / 19
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Review Solution
Pb 1.6.33(b)
b. Conversely, Let β1 and β2 be disjoint bases for subspaces W1
and W2, respectively, of a vector space V . Prove that ifβ1 ∪ β2 is a basis for V , then V = W1 ⊕W2.
Jiwen He, University of Houston Math 4377/6308, Advanced Linear Algebra Spring, 2015 19 / 19