MATH 2050 Assignment 8 Fall [10] 1. Find the determinant by reducing to triangular form for the following matrices.

Similar documents
Evaluating Determinants by Row Reduction

Determinants Chapter 3 of Lay

Chapter 4. Determinants

Components and change of basis

Chapter 2:Determinants. Section 2.1: Determinants by cofactor expansion

MAC Module 3 Determinants. Learning Objectives. Upon completing this module, you should be able to:

7.3. Determinants. Introduction. Prerequisites. Learning Outcomes

Formula for the inverse matrix. Cramer s rule. Review: 3 3 determinants can be computed expanding by any row or column

Lecture 10: Determinants and Cramer s Rule

Review for Exam Find all a for which the following linear system has no solutions, one solution, and infinitely many solutions.

Linear Algebra. Matrices Operations. Consider, for example, a system of equations such as x + 2y z + 4w = 0, 3x 4y + 2z 6w = 0, x 3y 2z + w = 0.

Matrix Operations: Determinant

This MUST hold matrix multiplication satisfies the distributive property.

Materials engineering Collage \\ Ceramic & construction materials department Numerical Analysis \\Third stage by \\ Dalya Hekmat

MATH 213 Linear Algebra and ODEs Spring 2015 Study Sheet for Midterm Exam. Topics

Math 240 Calculus III

Lemma 8: Suppose the N by N matrix A has the following block upper triangular form:

Linear Algebra and Vector Analysis MATH 1120

Gaussian Elimination and Back Substitution

Determinants: Elementary Row/Column Operations

Graduate Mathematical Economics Lecture 1

Calculating determinants for larger matrices

DETERMINANTS DEFINED BY ROW OPERATIONS

TOPIC III LINEAR ALGEBRA

Chapter 2. Square matrices

9 Appendix. Determinants and Cramer s formula

The determinant. Motivation: area of parallelograms, volume of parallepipeds. Two vectors in R 2 : oriented area of a parallelogram

Determinant of a Matrix

4. Determinants.

2 b 3 b 4. c c 2 c 3 c 4

Math Lecture 26 : The Properties of Determinants

Determinants. Recall that the 2 2 matrix a b c d. is invertible if

SPRING OF 2008 D. DETERMINANTS

c c c c c c c c c c a 3x3 matrix C= has a determinant determined by

Undergraduate Mathematical Economics Lecture 1

8-15. Stop by or call (630)

(b) If a multiple of one row of A is added to another row to produce B then det(b) =det(a).

Elementary maths for GMT

Determinant: 3.2 Evaluation of Determinant with Elementary

Linear Algebra Primer

Determinants by Cofactor Expansion (III)

Methods for Solving Linear Systems Part 2

Determinants. Samy Tindel. Purdue University. Differential equations and linear algebra - MA 262

MATH 1210 Assignment 4 Solutions 16R-T1

Linear Algebra 1 Exam 1 Solutions 6/12/3

Math 4377/6308 Advanced Linear Algebra

Chapter 3. Determinants and Eigenvalues

MATH2210 Notebook 2 Spring 2018


k=1 ( 1)k+j M kj detm kj. detm = ad bc. = 1 ( ) 2 ( )+3 ( ) = = 0

Math 313 (Linear Algebra) Exam 2 - Practice Exam

Linear Algebra Math 221

Question: Given an n x n matrix A, how do we find its eigenvalues? Idea: Suppose c is an eigenvalue of A, then what is the determinant of A-cI?

Linear Systems and Matrices

Properties of the Determinant Function

ANSWERS. E k E 2 E 1 A = B

Determinants: summary of main results

Review problems for MA 54, Fall 2004.

Math Lecture 27 : Calculating Determinants

MATH 2030: EIGENVALUES AND EIGENVECTORS

Here are some additional properties of the determinant function.


Matrix Algebra Determinant, Inverse matrix. Matrices. A. Fabretti. Mathematics 2 A.Y. 2015/2016. A. Fabretti Matrices

II. Determinant Functions

MATH 323 Linear Algebra Lecture 6: Matrix algebra (continued). Determinants.

The Determinant: a Means to Calculate Volume

Recall : Eigenvalues and Eigenvectors

Topic 15 Notes Jeremy Orloff

Notes on Determinants and Matrix Inverse

Algebra & Trig. I. For example, the system. x y 2 z. may be represented by the augmented matrix

Lecture 8: Determinants I

Math 250B Midterm I Information Fall 2018

ANALYTICAL MATHEMATICS FOR APPLICATIONS 2018 LECTURE NOTES 3

and let s calculate the image of some vectors under the transformation T.

Introduction to Matrices and Linear Systems Ch. 3

Linear Algebra review Powers of a diagonalizable matrix Spectral decomposition

1300 Linear Algebra and Vector Geometry

Lesson 3. Inverse of Matrices by Determinants and Gauss-Jordan Method

MTH 464: Computational Linear Algebra

Warm-up. True or false? Baby proof. 2. The system of normal equations for A x = y has solutions iff A x = y has solutions

Math Linear Algebra Final Exam Review Sheet

sum of squared error.

CHAPTER 8: Matrices and Determinants

Linear Algebraic Equations

Problems for M 10/26:

Linear Algebra Primer

Linear Algebra Practice Final

MATH Topics in Applied Mathematics Lecture 12: Evaluation of determinants. Cross product.

Kevin James. MTHSC 3110 Section 2.2 Inverses of Matrices

MATH 211 review notes

det(ka) = k n det A.

ENGR-1100 Introduction to Engineering Analysis. Lecture 21. Lecture outline

Determinants and Cramer's Rule

Inverses and Determinants

Examples True or false: 3. Let A be a 3 3 matrix. Then there is a pattern in A with precisely 4 inversions.

ENGR-1100 Introduction to Engineering Analysis. Lecture 21

MATRIX DETERMINANTS. 1 Reminder Definition and components of a matrix

Elementary Matrices. which is obtained by multiplying the first row of I 3 by -1, and

Simultaneous Linear Equations

Math 4A Notes. Written by Victoria Kala Last updated June 11, 2017

Transcription:

MATH 2050 Assignment 8 Fall 2016 [10] 1. Find the determinant by reducing to triangular form for the following matrices. 0 1 2 (a) A = 2 1 4. ANS: We perform the Gaussian Elimination on A by the following process: A = 2 1 4 R 1 R 3 2 1 4 R 2 R 2 2R 1 0 3 6 R 2 R 3 0 3 6 R 3 R 3 +3R 2 0 0 0 = U. Note that matrix U is a triangular matrix and hence determinant of U is 0, the product of its diagonal elements. Also note that interchange rows only effect the determinant by a sign (i.e., multiply by 1), and operation R R cr does not change the determinant, and R cr effect the determinant by a multiplication of c. Hence, det(a) = det(u) = 0. (b) A = 2 5 3 1 1 0 2 1. 3 1 2 0 ANS: We perform the Gaussian Elimination on A by the following process: A = 2 5 3 1 1 0 2 1 2 R 2 2R 1 0 7 1 5 R 3 R 3 +R 1,R 4 R 4 3R 1 0 1 4 3 3 1 2 0 0 4 4 6 R 2 R 3 0 1 4 3 0 7 1 5 0 4 4 6 R 4 R 4 +4R 1 0 1 4 3 R 3 R 3 +7R 1 0 0 27 16 4 R 4 /12 0 1 4 3 0 0 27 16 0 0 12 6 0 0 1 1/2

R 4 R 3 0 1 4 3 0 0 1 1/2 0 0 27 16 R 4 R 4 27R 3 0 1 4 3 0 0 1 1/2 = U. 0 0 0 5/2 Note that matrix U is a triangular matrix and hence determinant of U is 5/2, the product of its diagonal elements. [10] 2. Find the matrix M of minors and the matrix C of cofactors, compute the product AC T and C T A, calculate the determinant of A, and find A 1 if possible, for the following matrices (a): A = [ 2 3 1 4 ]. ANS: The matrix M of minors for matrix A is M = [ ] 4 1 cofactors for matrix A is C =, and 3 2 AC T = C T A = 5 I 2. [ 4 1 3 2 Hence, determinant of A is 5, and the matrix A has inverse to be A 1 1 = det(a) CT = 1 [ ] 4 3. 5 1 2 (b): A = 1 2 5 3 5 2 4 8 9. ANS: The matrix M of minors for matrix A is M = and the matrix C of cofactors for matrix A is C = AC T = C T A = 47 I 3. ], and the matrix C of 29 19 4 22 29 16 21 17 11 29 19 4 22 29 16 21 17 11 Hence, determinant of A is 47, and the matrix A does have inverse A 1 1 = det(a) CT = 1 29 22 21 19 29 17. 47 4 16 11,, and

[10] 3. Let A = 1 2 0 0 3 5 6 4 1. (a): Find the determinant of A with a Laplace expansion down the first column. ANS: The (1, 1)-cofactor is ( 3) ( 1) 4 5 = 3 20 = 17 and the (1, 3)-cofactor is ( 1) 1+3 [2 5 0 ( 3)] = 10. Hence, the determinant of A with a Laplace expansion down the first column is 1 ( 17) + 6 10 = 43. (b): Find the determinant of A with a Laplace expansion down the second row. ANS: The (2, 2)-cofactor is 1 1 6 0 = 1, and (3, 2)-cofactor is ( 1) 2+3 (1 4 2 6) = 8. Hence, the determinant of A with a Laplace expansion down the second row is 1 ( 3) + 5 8 = 43. [5] 4. Let A and B be 4 4 matrices with det(a) = 3 and det(b) = 2. Find the following determinants: [5] 5. Let A = (a) det(b 1 ), det(a 3 ), and det( 4B); ANS: det(b 1 ) = 1/ det(b) = 1/2. det(a 3 ) = det(a) det(a) det(a) = [det(a)] 3 = 27. det( 4B) = ( 4) 4 det(b) = 2 4 4 = 512. (b) det(3b 1 A 2 B 3 A 1 B t ). ANS: We have det(3b 1 A 2 B 3 A 1 B t ) = 3 4 det(b 1 ) det(a 2 ) det(b 3 ) det(a 1 ) det(b t ) p q r x y z a + 2x a + p 2p + x b + 2y b + q 2q + y c + 2z c + r 2r + z = 3 4 det(a)[det(b)] 3 = 3 5 2 3 = 1944.. Given that det(a) = 5, evaluate the following determinant:.

ANS: We have a + 2x a + p 2p + x det b + 2y b + q 2q + y c + 2z c + r 2r + z a a + p 2p + x = det b b + q 2q + y c c + r 2r + z + 2 det x a + p 2p + x y b + q 2q + y z c + r 2r + z a a 2p + x = det b b 2q + y c c 2r + z + 2 det x a 2p + x y b 2q + y z c 2r + z a p 2p + x + det b q 2q + y c r 2r + z + 2 det x p 2p + x y q 2q + y z r 2r + z x a x = 2 det y b y z c z + 4 det x a p y b q z c r a p x + det b q y c r z + 2 det a p p b q q c r r x p x +2 det y q y z r z + 4 det x p p y q q z r r x a p y b q z c r + det a p x b q y c r z x y z + det AT p q r p q r = 4 det x y z + det A p q r x y z + det A = 5 det A = 25. [5] 6. Calculate the determinant of 13 12 12 13 2 4 5 8 3 5 5 10 15 20 0 ANS: Note that the fifth row is five times the first row, therefore the determinant of this matrix is zero (recall that if one row of a matrix is a scalar multiple of another.

row of the same matrix, then the determinant of this matrix is zero Property 6 of the Textbook). Or, you could argument that det 13 12 12 13 2 4 5 8 3 5 = 5 det 13 12 12 13 2 = 5 0 = 0. because if I 4 5 8 3 5 5 10 15 20 0 have two equal rows in a matrix, the determinant of this matrix is zero. Another way to solve is using Gaussian elimination, you will come up with an entire row of zeros, therefore, determinant equals to zero. If you are up to it, Laplace expansion or the definition would also work. [45]