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C. Ray Rosentrater Westmont College 2013 Joint Mathematics Meetings rosentr@westmont.edu
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When students are introduced to a new concept via a problem they understand: 1. They can be engaged in exploratory/active learning exercises. 2. They understand the new concept better. 3. They are more willing to engage in theoretical analysis of the concept.
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Motivation: Want to study a function with a matrix variable. Development Thread: 1. Permutations 2. Elementary Products (Definition) 3. Evaluation by Row Reduction (No justification) 4. Properties 5. Cofactor Expansion (No justifiction) 6. Application: Crammer’s Rule
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Motivation: Another important number associated with a square matrix. Development Thread: 1. Permutations 2. Definition 3. Properties (Row ops & Evaluation via triangular matrices) 4. Computation via Cofactors (3x3 justified) 5. Applications: Crammer’s rule
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Motivation: List of uses (Singularity test, Volume, Sensitivity analysis) Development Thread: 1. Properties 1. Identity matrix, row exchange, linear in row one 2. Zero row, duplicate rows, triangular matrices, product rule, transpose (proved from first set) 2. Computation: Permutations and Cofactors 3. Applications: Cramer’s rule, Volume
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Motivation: Associate a real number to a matrix A in such a way that we can tell if A is singular. Development Thread: 1. 2x2, 3x3 singularity testing 2. Cofactor Definition 3. Properties (Row operations, Product) 4. Applications: Crammer’s rule, Matrix codes, Cross product
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Motivation: Singularity testing Development Thread: 1. 2x2, 3x3 singularity testing 2. Cofactor Definition 3. Properties: Row operations (not justified), Products, Transposes 4. Applications: Crammer’s rule, Volume, Transformations
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Not amenable to active learning E. G. O.
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Motivation: Signed Area/Volume/Hyper-volume of the parallelogram (etc.) spanned by the rows Development Thread: 1. Simple Cases 2. Row operations 3. Semi-formal definition & computational method 4. Transition to Cofactor (Permutation) Definition 5. Properties
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Motivation: Signed Area/Volume/Hyper-volume spanned by the rows Development Thread: 1. Simple Cases 2. Row operations 3. Semi-formal definition 4. Transition to Cofactor (Permutation) Definition 5. Properties
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Motivation: Signed Area/Volume/Hyper-volume spanned by the rows Development Thread: 1. Simple Cases 2. Row operations 3. Semi-formal definition & computation 4. Transition to Cofactor (Permutation) Definition 5. Properties
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Determinant = signed “volume” of the parallelogram spanned by the rows To Compute: Use row replacements to put in triangular form, multiply the diagonal entries
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Motivation: Signed Area/Volume/Hyper-volume spanned by the rows Development Thread: 1. Simple Cases 2. Row operations 3. Semi-formal definition 4. Transition to Cofactor (Permutation) Definition 5. Properties
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Why have another method? A motivating example
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State the Cofactor definition Verify the definitions agree Check simple (diagonal) case Check row operation behavior
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Verify scaling in row one from definition To scale row k Swap row k with row one Scale row one Swap row k and row one
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To add a multiple of row k to row j: Swap rows one and j Add the multiple of row k to row one Swap rows one and j
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BA
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BA
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Induction If the first row is not involved, use the inductive hypothesis If the first row is to be swapped with row k, Swap row k with row two Swap rows one and two Swap row k with row two
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Motivation: Signed Area/Volume/Hyper-volume spanned by the rows Development Thread: 1. Simple Cases 2. Row operations 3. Semi-formal definition 4. Transition to Cofactor (Permutation) Definition 5. Properties
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Better motivation Multiple views Students can develop significant ideas on their own: Active Learning Students can anticipate theoretical ideas Students are motivated to prove row operation results rosentr@westmont.edu Thank you
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Associated materials may be obtained by contacting Ray Rosentrater Westmont College 955 La Paz Rd Santa Barbara, CA 93108 805.565.6185 rosentr@westmont.edu
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