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'''Approach 1: Use Isomorphisms''' |
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'''Approach 1: Use Isomorphisms''' |
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Reminder: Finite dimensional vector spaces <math>V_1, V_2</math> over the same field are isomorphic to each other <math>\iff dim(V_1) = dim(V_2)</math>. |
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We show that <math>W</math> is isomorphic to <math>P_{n - 1}(R)</math>. Let <math>B = \{1, x, x^2, ..., x^{n - 1}\}</math> be the standard ordered basis of <math>P_{n - 1}(R)</math>. Let <math>S = \{x - a, (x - a)x, (x - a)x^2, ..., (x - a)x^{n - 1}\}</math> be a subset of <math>W</math>. Then there is a unique linear transformation <math>T:P_{n - 1} \to W</math> such that <math>T(f(x)) = (x - a)f(x)</math> where <math>f(x) \in B</math>. Show that <math>T</math> is one-to-one and onto to complete the proof.
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Since <math>dim(P_{n - 1}(R)) = n</math>, then all we have to show is that <math>W</math> is isomorphic to <math>P_{n - 1}(R)</math>. Let <math>B = \{1, x, x^2, ..., x^{n - 1}\}</math> be the standard ordered basis of <math>P_{n - 1}(R)</math>. Let <math>S = \{x - a, (x - a)x, (x - a)x^2, ..., (x - a)x^{n - 1}\}</math> be a subset of <math>W</math>. |
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Then there is a unique linear transformation <math>T:P_{n - 1} \to W</math> such that <math>T(f(x)) = (x - a)f(x)</math> where <math>f(x) \in B</math>. Show that <math>T</math> is one-to-one and onto to complete the proof. |
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'''Approach 2: Use the Rank-Nullity Theorem''' |
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'''Approach 2: Use the Rank-Nullity Theorem''' |
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'''Approach 3: Find a Basis with the Decomposed Polynomial''' |
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'''Approach 3: Find a Basis with the Decomposed Polynomial''' |
Revision as of 16:40, 29 November 2014
Welcome to Math 240! (additions to this web site no longer count towards good deed points)
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#
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Week of...
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Notes and Links
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1
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Sep 8
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About This Class, What is this class about? (PDF, HTML), Monday, Wednesday
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2
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Sep 15
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HW1, Monday, Wednesday, TheComplexField.pdf,HW1_solutions.pdf
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3
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Sep 22
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HW2, Class Photo, Monday, Wednesday, HW2_solutions.pdf
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4
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Sep 29
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HW3, Wednesday, Tutorial, HW3_solutions.pdf
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5
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Oct 6
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HW4, Monday, Wednesday, Tutorial, HW4_solutions.pdf
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6
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Oct 13
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No Monday class (Thanksgiving), Wednesday, Tutorial
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7
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Oct 20
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HW5, Term Test at tutorials on Tuesday, Wednesday
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8
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Oct 27
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HW6, Monday, Why LinAlg?, Wednesday, Tutorial
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9
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Nov 3
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Monday is the last day to drop this class, HW7, Monday, Wednesday, Tutorial
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10
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Nov 10
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HW8, Monday, Tutorial
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11
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Nov 17
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Monday-Tuesday is UofT November break
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12
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Nov 24
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HW9
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13
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Dec 1
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Wednesday is a "makeup Monday"! End-of-Course Schedule, Tutorial
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F
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Dec 8
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The Final Exam
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Register of Good Deeds
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Add your name / see who's in!
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Boris
Question 26 on Page 57 in Homework 5
Let and be a subspace of . Find .
First, let . Then we can decompose since there is a such that . From here, there are several approaches:
Approach 1: Use Isomorphisms
Reminder: Finite dimensional vector spaces over the same field are isomorphic to each other .
Since , then all we have to show is that is isomorphic to . Let be the standard ordered basis of . Let be a subset of .
Then there is a unique linear transformation such that where . Show that is one-to-one and onto to complete the proof.
Approach 2: Use the Rank-Nullity Theorem
Approach 3: Find a Basis with the Decomposed Polynomial
Approach 4: Find a Basis without the Decomposed Polynomial