1. b = b = b = b = 5

Size: px
Start display at page:

Download "1. b = b = b = b = 5"

Transcription

1 Version 001 Minterm 1 tsishchanka (54615) 1 This print-out should have 17 questions. Multiple-choice questions may continue on the next column or page find all choices before answering. FinM4a points Panditisanagingdogwhohastobekepton a strict diet containing, among other things, 2.5gramsofproteinand1.8gramsoffat. Two dog foods are available to Pandit s owner. Food A has 8% protein and 6% fat, while Food B has 3% protein and 2% fat. Howmany gramsoffoodashould Pandit s owner use in his diet? 1. # grams food A = 20 correct 2. # grams food A = # grams food A = # grams food A = # grams food A = 23 Let x and y be the amounts (in grams) of foods A and B respectively used in Pandit s diet. Then 0.08x+0.03y = 2.5, 0.06x+0.02y = 1.8. Solving for x, y we see that so x = 20, y = 30, # grams food A = 20. FitParabola01b points When the graph of the function y = ax 2 +bx+c is the unique parabola passing through the points determine b. 1. b = 2 2. b = 6 3. b = 4 4. b = 5 (1, 7), ( 1, 1), ( 3, 3), 5. b = 3 correct Since the parabola passes through the points (1, 7), ( 1, 1), ( 3, 3), the coefficients a, b and c must satisfy the equations a+b+c =7 a b+c =1 9a 3b+c =3 To solve these equations for c we reduce the augmented matrix to echelon form by successive row operations: R 2 R 1 R 3 9R 1 R 3 6R

2 Version 001 Minterm 1 tsishchanka (54615) 2 Thus b = TRUE LinearSystemT/F01a points Elementary row operations on an augmented matrix never change the the solution set of the associated linear system. 1. TRUE correct 2. FALSE Elementary row operations on an augmented matrix (i) replace one row by the sum of itself and the multiple of another row, (ii) interchange rows, (iii) multiply all entries in a row by a nonzero constant. For the linear system associated with the original augmented matrix these respective operations (i) add a constant times one equation to another, (ii) interchange two equations, (iii) multiply an equation through by by a non-zero constant. But none of these will affect the solutions of the equations. LinSysUniqueTF points If a system of linear equations has no free variables, then it has a unique solution. 2. FALSE correct A linear system must have no solutions, unique solutions, or infinitely many solutions. Having no free variables indicates that the system does not have infinitely many solutions, but it does not determine which of the other two cases it might be. Consider the following counterexample: x 1 + x 2 = 1 x 2 = 5 x 1 + x 2 = 2 Subtracting the first row from the third row obtains the equation 0 = 1, so this is clearly not consistent and hence has no solution. You canalsoshowthesystemhasnofreevariables. Henceithasno free variablesandnosolution. FALSE. RowReduceMan02a points Theaugmentedmatrixofalinearsystemof equations has been reduced by row operations to (a) Continue row operations to write the matrix in reduced row echelon form. (b) Then determine the solution set of the original system. 1. correct (a) (b) x 1 = 1, x 2 = 1, x 3 = 2

3 Version 001 Minterm 1 tsishchanka (54615) 3 (a) Using row operations we see that The augmented matrix is now in reduced row echelon form. (b) By row reduction the original system is equivalent to the system x 1 = 1 x 2 = 1 x 3 = 2, so the solution set of the original system is x 1 = 1, x 2 = 1, x 3 = 2. AxisIntersect01a points When P is the plane in R 3 given in vector form by x = 1 2 +s 2 2 +t 3 4, determine where P intersects the z-axis. 1. z = 7 correct 2. z = 8 3. z = 9 4. z = 5 5. z = 6 Since the z-axis consists of points in R 3 with x = y = 0, P intersects the z-axis when 0 0 z = 1 2 +s 2 2 +t for some choice of s and t, i.e., when s 2 2 +t 3 4 = z 1 is consistent as a vector equation in s, t. This will be true if and only if the associated augmented matrix A = z 1 is row equivalent to an echelon matrix whose entries in the last row are all zero. Now byrowreduction inthefirst columnof A, we obtain A , 0 2 z +1 and after row reduction in the second column A z +7 Consequently, P intersects the z-axis at Given z = 7. M340LSpanM points v 1 = 1 1, v 2 = 2 4, v 3 = 1 0, 0 2 1

4 Version 001 Minterm 1 tsishchanka (54615) 4 determine all values of λ for which w = 2 1 λ is a vector in Span{v 1, v 2, v 3 }? 1. λ = 3 2. λ = 1, 3 3. λ = 1, 1 4. λ = 1 correct 5. λ = 1 6. λ = 1, 3 ThevectorwisinSpan{v 1, v 2, v 3 }ifthere exist weights x 1, x 2, x 3 such that x 1 v 1 +x 2 v 2 +x 3 v 3 = w. Such weights exist when the rightmost column in the augmented matrix [v 1 v 2 v 3 w]= λ is not a pivot column. But λ λ λ+1 Thus the rightmost column is not a pivot column when λ+1 = 0. Consequently, w lies in Span{v 1, v 2, v 3 } when λ = 1. VectorEquTF01e points If u, v are vectors in R 3, when can Span{u, v} be visualized as a plane through the origin in R ALWAYS 2. SOMETIMES correct 3. NEVER If u, v are linearly independent, then Span{u, v} can be visualized as a plane through the origin in R 3. But if v is a nonzero scalar multiple of u, or when v = 0, then Span{u, v} consists of all scalar multiples of u, and hence can be identified with a line through the origin. Consequently, Span{u, v} can SOMETIMES be visualized as a plane through the origin in R 3, but not always. Consistent01d points Describe geometrically the conditions on a vector b in R 2 under which the equation has a solution in R 2. [ ] 2 3 x = b b lies on line y +3x = 0 2. b lies on line y 3x = 0 correct 3. arbitrary b in R 2 4. any b not on line y +3x = 0 5. any b not on line y 3x = 0

5 Version 001 Minterm 1 tsishchanka (54615) 5 A matrix equation Ax = b has a solution when the last column of the associated augmented matrix [A b] is not a pivot column. Now for the given equation, [ ] 2 3 b1 [A b] = 6 9 b 2 [ ] 2 3 b b 2 3b 1 Thus the equation has a solution when b 2 3b 1 = 0, i.e., (b 1, b 2 ) satisfies the linear equation y 3x = 0. Consequently, Ax = b has a solution if and only if b lies on the line y 3x = 0. MatEquTF02b points IfthematrixequationAx = bisconsistent, thenbisintheset spanned by the columnsof A. 1. TRUE correct 2. FALSE Since Ax = [a 1 a 2... a n ] x 1 x 2. x n = x 1 a 1 +x 2 a x n a n, the equation Ax = b is consistent, i.e., has a solution, if and only if b is a linear combination of the columns of A. On the other hand, Span{a 1 a 2... a n } consists of all linear combination of the columns of A. Hence, Ax = b is consistent if and only if b is in the span of the columns of A. SolSetsLinSysTF points If the equation Ax = b has more than one solution, then so does the homogeneous equation Ax = FALSE 2. TRUE correct The homogeneous equation Ax = 0 always has the trivial solution x = 0. Now suppose p 1, p 2 are solutions of Ax = b with p 1 p 2, i.e., w = p 1 p 2 0 and But then Ap 1 = b, Ap 2 = b. Aw = Ap 1 Ap 2 = b b = 0. So x = 0 and x = w are two different solutions of Ax = 0. ThreePoints01a points Determine the linear equation of the unique plane in R 3 containing the points and P(1, 2, 1), Q( 1, 1, 0), R( 1, 4, 2).

6 Version 001 Minterm 1 tsishchanka (54615) x 4y +6z = 1 correct 2. 3x+4y 6z +1 = x 4y 6z +1 = x+4y +6z = x+4y 6z = x 4y +6z +1 = 0 A linear equation in x, y, z has the form ax+by +cz +d = 0. Its graph will contain the points P, Q, and R when a, b, c, and d satisfy the homogeneous system a+2b+z +d = 0, a b+0z +d = 0, x 4y 2z +d = 0, of 3 linear equations in 4 variables. Now the associated augmented matrix is A = , and rref(a) = So d is a free variable, say d = s, while a = 3s, b = 4s, c = 6s. Although there are infinitely many solutions, the parameter s is common to each of a, b, c, and d. Thus there is a unique plane passing through P, Q, and R, namely the graph of 3x 4y +6z = 1, obtained by cancelling the common factor s. BalChemEqt01a points When butane C 4 H 10 burns in the presence of oxygen O 2 it produces carbon dioxide CO 2 and water H 2 O, represented chemically by C 4 H 10 + O 2 CO 2 + H 2 O. If 60 molecules of water were produced in one particular reaction, how many molecules of butane were burned in that reaction? 1. # molecules = # molecules = # molecules = # molecules = # molecules = 12 correct We need to solve first for the relative numbers x 1,..., x 4 of molecules in the balanced chemical equation x 1 C 4 H 10 +x 2 O 2 x 3 CO 2 +x 4 H 2 O. Now the fundamental rule governing this reaction is that the left and right hand sides contain the same number of the respective carbon, hydrogen and oxygen atoms. Thus 4x 1 +0x 2 = x 3 +0x 4, 10x 1 +0x 2 = 0x 3 +2x 4, 0x 1 +2x 2 = 2x 3 +x 4, which as a homogeneous system can be written in augmented matrix form [A 0] = But rref([a 0]) =

7 Version 001 Minterm 1 tsishchanka (54615) 7 So x 4 is a free variable, say x 4 = s, and x 1 = 1 5 s, x 2 = s, x 3 = 4 5 s, give the respective proportions of the other molecules in the reaction with respect to x 4. Consequently, if 60 molecules of water were produced, then of butane were burned. 12 molecules form: h h h , 0 0 h+4 0 LinIndependMan01a points Find all values h for which the vectors 2 2 4, are linearly independent. 1. h 4 correct The vectors a 1 = 2 2 4, a 2 =, h, a 3 = 2 2, h arelinearlyindependentifandonlyiftheonly solutions of x 1 a 1 +x 2 a 2 +x 3 a 3 = 0 are x 1 = x 2 = x 3 = 0. To determine the solutions of this vector equation we use row operations to reduce the corresponding augmented matrix to echelon showing that the solutions of the original vector equation are x 3 (h+4) = 0, x 2 = 0, x 1 = x 3. But then if h+4 0, the only solutions are x 3 = 0, x 2 = 0, x 1 = 0, whileifh+4 = 0, x 3 isafreevariable. Consequently, the vectors are linearly independent if and only if h 4. LinIndepTF01c points Thecolumnsofany4 5matrixarelinearly dependent. 1. FALSE 2. TRUE correct Ifasetcontainsmorevectorsthanthereare entries in each vector, then the set is linearly dependent. That is, any set {v 1, v 2,..., v p }

8 Version 001 Minterm 1 tsishchanka (54615) 8 in R n is linearly dependent if p > n. Now when A = [a 1 a 2... a 5 ] isa4 5matrix,thereare5columnsandeach is a vector in R 4. Because 5 > 4, the columns must therefore be linearly dependent. ( sinθ, cosθ) θ (0, 1) θ (cosθ, sinθ) (1, 0) LinTransform01e points A transformation T : R n R m is linear if and only if T(c 1 v 1 +c 2 v 2 ) = c 1 T(v 1 )+c 2 T(v 2 ) for all vectors v 1, v 2 in R n and all scalars c 1, c FALSE 2. TRUE correct A transformation T : R n R m by definition is linear when: (i) T(u+v) = T(u)+T(v), (ii) T(cu) = ct(u), for all u, v in R n and scalars c. The property T(c 1 v 1 +c 2 v 2 ) = c 1 T(v 1 )+c 2 T(v 2 ) combines (i) and (ii) into a single condition. MatrixTrans01a points Determine the Standard Matrix for the transformation rotating the plane counterclockwise about the origin through 60. [ ] A = 1 3 [ ] 2. A = [ ] A = [ ] 4. A = [ ] A = A = 1 2 [ ] 1 3 correct 3 1 When T is rotation counter-clockwise through θ about the origin in the plane, then by right-angle trig in the graphic above, its associated Standard Matrix is [T(1, 0) T(0, 1)] = [ cosθ sinθ sinθ cosθ When θ = 60, therefore, this is the matrix [ ] ].

Math 314H EXAM I. 1. (28 points) The row reduced echelon form of the augmented matrix for the system. is the matrix

Math 314H EXAM I. 1. (28 points) The row reduced echelon form of the augmented matrix for the system. is the matrix Math 34H EXAM I Do all of the problems below. Point values for each of the problems are adjacent to the problem number. Calculators may be used to check your answer but not to arrive at your answer. That

More information

MATH 2331 Linear Algebra. Section 1.1 Systems of Linear Equations. Finding the solution to a set of two equations in two variables: Example 1: Solve:

MATH 2331 Linear Algebra. Section 1.1 Systems of Linear Equations. Finding the solution to a set of two equations in two variables: Example 1: Solve: MATH 2331 Linear Algebra Section 1.1 Systems of Linear Equations Finding the solution to a set of two equations in two variables: Example 1: Solve: x x = 3 1 2 2x + 4x = 12 1 2 Geometric meaning: Do these

More information

Solutions of Linear system, vector and matrix equation

Solutions of Linear system, vector and matrix equation Goals: Solutions of Linear system, vector and matrix equation Solutions of linear system. Vectors, vector equation. Matrix equation. Math 112, Week 2 Suggested Textbook Readings: Sections 1.3, 1.4, 1.5

More information

Midterm 1 Review. Written by Victoria Kala SH 6432u Office Hours: R 12:30 1:30 pm Last updated 10/10/2015

Midterm 1 Review. Written by Victoria Kala SH 6432u Office Hours: R 12:30 1:30 pm Last updated 10/10/2015 Midterm 1 Review Written by Victoria Kala vtkala@math.ucsb.edu SH 6432u Office Hours: R 12:30 1:30 pm Last updated 10/10/2015 Summary This Midterm Review contains notes on sections 1.1 1.5 and 1.7 in your

More information

Chapter 1: Linear Equations

Chapter 1: Linear Equations Chapter : Linear Equations (Last Updated: September, 6) The material for these notes is derived primarily from Linear Algebra and its applications by David Lay (4ed).. Systems of Linear Equations Before

More information

Chapter 1: Linear Equations

Chapter 1: Linear Equations Chapter : Linear Equations (Last Updated: September, 7) The material for these notes is derived primarily from Linear Algebra and its applications by David Lay (4ed).. Systems of Linear Equations Before

More information

Chapter 3. Directions: For questions 1-11 mark each statement True or False. Justify each answer.

Chapter 3. Directions: For questions 1-11 mark each statement True or False. Justify each answer. Chapter 3 Directions: For questions 1-11 mark each statement True or False. Justify each answer. 1. (True False) Asking whether the linear system corresponding to an augmented matrix [ a 1 a 2 a 3 b ]

More information

Math 2940: Prelim 1 Practice Solutions

Math 2940: Prelim 1 Practice Solutions Math 294: Prelim Practice Solutions x. Find all solutions x = x 2 x 3 to the following system of equations: x 4 2x + 4x 2 + 2x 3 + 2x 4 = 6 x + 2x 2 + x 3 + x 4 = 3 3x 6x 2 + x 3 + 5x 4 = 5 Write your

More information

2. Every linear system with the same number of equations as unknowns has a unique solution.

2. Every linear system with the same number of equations as unknowns has a unique solution. 1. For matrices A, B, C, A + B = A + C if and only if A = B. 2. Every linear system with the same number of equations as unknowns has a unique solution. 3. Every linear system with the same number of equations

More information

Linear Independence x

Linear Independence x Linear Independence A consistent system of linear equations with matrix equation Ax = b, where A is an m n matrix, has a solution set whose graph in R n is a linear object, that is, has one of only n +

More information

MATH240: Linear Algebra Review for exam #1 6/10/2015 Page 1

MATH240: Linear Algebra Review for exam #1 6/10/2015 Page 1 MATH24: Linear Algebra Review for exam # 6//25 Page No review sheet can cover everything that is potentially fair game for an exam, but I tried to hit on all of the topics with these questions, as well

More information

1 Last time: linear systems and row operations

1 Last time: linear systems and row operations 1 Last time: linear systems and row operations Here s what we did last time: a system of linear equations or linear system is a list of equations a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22

More information

MA 242 LINEAR ALGEBRA C1, Solutions to First Midterm Exam

MA 242 LINEAR ALGEBRA C1, Solutions to First Midterm Exam MA 242 LINEAR ALGEBRA C Solutions to First Midterm Exam Prof Nikola Popovic October 2 9:am - :am Problem ( points) Determine h and k such that the solution set of x + = k 4x + h = 8 (a) is empty (b) contains

More information

5x 2 = 10. x 1 + 7(2) = 4. x 1 3x 2 = 4. 3x 1 + 9x 2 = 8

5x 2 = 10. x 1 + 7(2) = 4. x 1 3x 2 = 4. 3x 1 + 9x 2 = 8 1 To solve the system x 1 + x 2 = 4 2x 1 9x 2 = 2 we find an (easier to solve) equivalent system as follows: Replace equation 2 with (2 times equation 1 + equation 2): x 1 + x 2 = 4 Solve equation 2 for

More information

Span and Linear Independence

Span and Linear Independence Span and Linear Independence It is common to confuse span and linear independence, because although they are different concepts, they are related. To see their relationship, let s revisit the previous

More information

1. Determine by inspection which of the following sets of vectors is linearly independent. 3 3.

1. Determine by inspection which of the following sets of vectors is linearly independent. 3 3. 1. Determine by inspection which of the following sets of vectors is linearly independent. (a) (d) 1, 3 4, 1 { [ [,, 1 1] 3]} (b) 1, 4 5, (c) 3 6 (e) 1, 3, 4 4 3 1 4 Solution. The answer is (a): v 1 is

More information

2018 Fall 2210Q Section 013 Midterm Exam I Solution

2018 Fall 2210Q Section 013 Midterm Exam I Solution 8 Fall Q Section 3 Midterm Exam I Solution True or False questions ( points = points) () An example of a linear combination of vectors v, v is the vector v. True. We can write v as v + v. () If two matrices

More information

Solving Linear Systems Using Gaussian Elimination

Solving Linear Systems Using Gaussian Elimination Solving Linear Systems Using Gaussian Elimination DEFINITION: A linear equation in the variables x 1,..., x n is an equation that can be written in the form a 1 x 1 +...+a n x n = b, where a 1,...,a n

More information

Chapter 3. Vector spaces

Chapter 3. Vector spaces Chapter 3. Vector spaces Lecture notes for MA1111 P. Karageorgis pete@maths.tcd.ie 1/22 Linear combinations Suppose that v 1,v 2,...,v n and v are vectors in R m. Definition 3.1 Linear combination We say

More information

Chapter 1: Systems of Linear Equations

Chapter 1: Systems of Linear Equations Chapter : Systems of Linear Equations February, 9 Systems of linear equations Linear systems Lecture A linear equation in variables x, x,, x n is an equation of the form a x + a x + + a n x n = b, where

More information

Review for Chapter 1. Selected Topics

Review for Chapter 1. Selected Topics Review for Chapter 1 Selected Topics Linear Equations We have four equivalent ways of writing linear systems: 1 As a system of equations: 2x 1 + 3x 2 = 7 x 1 x 2 = 5 2 As an augmented matrix: ( 2 3 ) 7

More information

CHAPTER 1 Systems of Linear Equations

CHAPTER 1 Systems of Linear Equations CHAPTER Systems of Linear Equations Section. Introduction to Systems of Linear Equations. Because the equation is in the form a x a y b, it is linear in the variables x and y. 0. Because the equation cannot

More information

Final Examination 201-NYC-05 December and b =

Final Examination 201-NYC-05 December and b = . (5 points) Given A [ 6 5 8 [ and b (a) Express the general solution of Ax b in parametric vector form. (b) Given that is a particular solution to Ax d, express the general solution to Ax d in parametric

More information

Linear equations in linear algebra

Linear equations in linear algebra Linear equations in linear algebra Samy Tindel Purdue University Differential equations and linear algebra - MA 262 Taken from Differential equations and linear algebra Pearson Collections Samy T. Linear

More information

is Use at most six elementary row operations. (Partial

is Use at most six elementary row operations. (Partial MATH 235 SPRING 2 EXAM SOLUTIONS () (6 points) a) Show that the reduced row echelon form of the augmented matrix of the system x + + 2x 4 + x 5 = 3 x x 3 + x 4 + x 5 = 2 2x + 2x 3 2x 4 x 5 = 3 is. Use

More information

Span & Linear Independence (Pop Quiz)

Span & Linear Independence (Pop Quiz) Span & Linear Independence (Pop Quiz). Consider the following vectors: v = 2, v 2 = 4 5, v 3 = 3 2, v 4 = Is the set of vectors S = {v, v 2, v 3, v 4 } linearly independent? Solution: Notice that the number

More information

Math 54 HW 4 solutions

Math 54 HW 4 solutions Math 54 HW 4 solutions 2.2. Section 2.2 (a) False: Recall that performing a series of elementary row operations A is equivalent to multiplying A by a series of elementary matrices. Suppose that E,...,

More information

MATH 2050 Assignment 6 Fall 2018 Due: Thursday, November 1. x + y + 2z = 2 x + y + z = c 4x + 2z = 2

MATH 2050 Assignment 6 Fall 2018 Due: Thursday, November 1. x + y + 2z = 2 x + y + z = c 4x + 2z = 2 MATH 5 Assignment 6 Fall 8 Due: Thursday, November [5]. For what value of c does have a solution? Is it unique? x + y + z = x + y + z = c 4x + z = Writing the system as an augmented matrix, we have c R

More information

1 Last time: multiplying vectors matrices

1 Last time: multiplying vectors matrices MATH Linear algebra (Fall 7) Lecture Last time: multiplying vectors matrices Given a matrix A = a a a n a a a n and a vector v = a m a m a mn Av = v a a + v a a v v + + Rn we define a n a n a m a m a mn

More information

Linear Equation: a 1 x 1 + a 2 x a n x n = b. x 1, x 2,..., x n : variables or unknowns

Linear Equation: a 1 x 1 + a 2 x a n x n = b. x 1, x 2,..., x n : variables or unknowns Linear Equation: a x + a 2 x 2 +... + a n x n = b. x, x 2,..., x n : variables or unknowns a, a 2,..., a n : coefficients b: constant term Examples: x + 4 2 y + (2 5)z = is linear. x 2 + y + yz = 2 is

More information

Determine whether the following system has a trivial solution or non-trivial solution:

Determine whether the following system has a trivial solution or non-trivial solution: Practice Questions Lecture # 7 and 8 Question # Determine whether the following system has a trivial solution or non-trivial solution: x x + x x x x x The coefficient matrix is / R, R R R+ R The corresponding

More information

1. TRUE or FALSE. 2. Find the complete solution set to the system:

1. TRUE or FALSE. 2. Find the complete solution set to the system: TRUE or FALSE (a A homogenous system with more variables than equations has a nonzero solution True (The number of pivots is going to be less than the number of columns and therefore there is a free variable

More information

Linear transformations

Linear transformations Linear Algebra with Computer Science Application February 5, 208 Review. Review: linear combinations Given vectors v, v 2,..., v p in R n and scalars c, c 2,..., c p, the vector w defined by w = c v +

More information

MATH 221: SOLUTIONS TO SELECTED HOMEWORK PROBLEMS

MATH 221: SOLUTIONS TO SELECTED HOMEWORK PROBLEMS MATH 221: SOLUTIONS TO SELECTED HOMEWORK PROBLEMS 1. HW 1: Due September 4 1.1.21. Suppose v, w R n and c is a scalar. Prove that Span(v + cw, w) = Span(v, w). We must prove two things: that every element

More information

Math 3191 Applied Linear Algebra

Math 3191 Applied Linear Algebra Math 9 Applied Linear Algebra Lecture : Null and Column Spaces Stephen Billups University of Colorado at Denver Math 9Applied Linear Algebra p./8 Announcements Study Guide posted HWK posted Math 9Applied

More information

Matrices and RRE Form

Matrices and RRE Form Matrices and RRE Form Notation R is the real numbers, C is the complex numbers (we will only consider complex numbers towards the end of the course) is read as an element of For instance, x R means that

More information

Solving Linear Systems

Solving Linear Systems Math 240 TA: Shuyi Weng Winter 2017 January 12, 2017 Solving Linear Systems Linear Systems You have dealt with linear equations and systems of linear equations since you first learn mathematics in elementary

More information

Find the solution set of 2x 3y = 5. Answer: We solve for x = (5 + 3y)/2. Hence the solution space consists of all vectors of the form

Find the solution set of 2x 3y = 5. Answer: We solve for x = (5 + 3y)/2. Hence the solution space consists of all vectors of the form Math 2 Homework #7 March 4, 2 7.3.3. Find the solution set of 2x 3y = 5. Answer: We solve for x = (5 + 3y/2. Hence the solution space consists of all vectors of the form ( ( ( ( x (5 + 3y/2 5/2 3/2 x =

More information

LINEAR ALGEBRA SUMMARY SHEET.

LINEAR ALGEBRA SUMMARY SHEET. LINEAR ALGEBRA SUMMARY SHEET RADON ROSBOROUGH https://intuitiveexplanationscom/linear-algebra-summary-sheet/ This document is a concise collection of many of the important theorems of linear algebra, organized

More information

System of Linear Equations

System of Linear Equations Math 20F Linear Algebra Lecture 2 1 System of Linear Equations Slide 1 Definition 1 Fix a set of numbers a ij, b i, where i = 1,, m and j = 1,, n A system of m linear equations in n variables x j, is given

More information

MATH 1553, SPRING 2018 SAMPLE MIDTERM 1: THROUGH SECTION 1.5

MATH 1553, SPRING 2018 SAMPLE MIDTERM 1: THROUGH SECTION 1.5 MATH 553, SPRING 28 SAMPLE MIDTERM : THROUGH SECTION 5 Name Section Please read all instructions carefully before beginning You have 5 minutes to complete this exam There are no aids of any kind (calculators,

More information

1 Last time: row reduction to (reduced) echelon form

1 Last time: row reduction to (reduced) echelon form MATH Linear algebra (Fall 8) Lecture Last time: row reduction to (reduced) echelon fm The leading entry in a nonzero row of a matrix is the first nonzero entry from left going right example, the row 7

More information

Chapter 5. Linear Algebra. Sections A linear (algebraic) equation in. unknowns, x 1, x 2,..., x n, is. an equation of the form

Chapter 5. Linear Algebra. Sections A linear (algebraic) equation in. unknowns, x 1, x 2,..., x n, is. an equation of the form Chapter 5. Linear Algebra Sections 5.1 5.3 A linear (algebraic) equation in n unknowns, x 1, x 2,..., x n, is an equation of the form a 1 x 1 + a 2 x 2 + + a n x n = b where a 1, a 2,..., a n and b are

More information

Math 51, Homework-2 Solutions

Math 51, Homework-2 Solutions SSEA Summer 27 Math 5, Homework-2 Solutions Write the parametric equation of the plane that contains the following point and line: 3 2, 4 2 + t 3 t R 5 4 By substituting t = and t =, we get two points

More information

Math 3108: Linear Algebra

Math 3108: Linear Algebra Math 3108: Linear Algebra Instructor: Jason Murphy Department of Mathematics and Statistics Missouri University of Science and Technology 1 / 323 Contents. Chapter 1. Slides 3 70 Chapter 2. Slides 71 118

More information

Chapter 5. Linear Algebra. A linear (algebraic) equation in. unknowns, x 1, x 2,..., x n, is. an equation of the form

Chapter 5. Linear Algebra. A linear (algebraic) equation in. unknowns, x 1, x 2,..., x n, is. an equation of the form Chapter 5. Linear Algebra A linear (algebraic) equation in n unknowns, x 1, x 2,..., x n, is an equation of the form a 1 x 1 + a 2 x 2 + + a n x n = b where a 1, a 2,..., a n and b are real numbers. 1

More information

VECTORS [PARTS OF 1.3] 5-1

VECTORS [PARTS OF 1.3] 5-1 VECTORS [PARTS OF.3] 5- Vectors and the set R n A vector of dimension n is an ordered list of n numbers Example: v = [ ] 2 0 ; w = ; z = v is in R 3, w is in R 2 and z is in R? 0. 4 In R 3 the R stands

More information

Chapter 2 Notes, Linear Algebra 5e Lay

Chapter 2 Notes, Linear Algebra 5e Lay Contents.1 Operations with Matrices..................................1.1 Addition and Subtraction.............................1. Multiplication by a scalar............................ 3.1.3 Multiplication

More information

DM559 Linear and Integer Programming. Lecture 2 Systems of Linear Equations. Marco Chiarandini

DM559 Linear and Integer Programming. Lecture 2 Systems of Linear Equations. Marco Chiarandini DM559 Linear and Integer Programming Lecture Marco Chiarandini Department of Mathematics & Computer Science University of Southern Denmark Outline 1. Outline 1. 3 A Motivating Example You are organizing

More information

6.4 Basis and Dimension

6.4 Basis and Dimension 6.4 Basis and Dimension DEF ( p. 263) AsetS ={v 1, v 2, v k } of vectors in a vector space V is a basis for V if (1) S spans V and (2) S is linearly independent. MATH 316U (003) - 6.4 (Basis and Dimension)

More information

MTH 464: Computational Linear Algebra

MTH 464: Computational Linear Algebra MTH 464: Computational Linear Algebra Lecture Outlines Exam 1 Material Dr. M. Beauregard Department of Mathematics & Statistics Stephen F. Austin State University January 9, 2018 Linear Algebra (MTH 464)

More information

Topics. Vectors (column matrices): Vector addition and scalar multiplication The matrix of a linear function y Ax The elements of a matrix A : A ij

Topics. Vectors (column matrices): Vector addition and scalar multiplication The matrix of a linear function y Ax The elements of a matrix A : A ij Topics Vectors (column matrices): Vector addition and scalar multiplication The matrix of a linear function y Ax The elements of a matrix A : A ij or a ij lives in row i and column j Definition of a matrix

More information

Math 51, Homework-2. Section numbers are from the course textbook.

Math 51, Homework-2. Section numbers are from the course textbook. SSEA Summer 2017 Math 51, Homework-2 Section numbers are from the course textbook. 1. Write the parametric equation of the plane that contains the following point and line: 1 1 1 3 2, 4 2 + t 3 0 t R.

More information

Systems of Linear Equations and Matrices

Systems of Linear Equations and Matrices Chapter 1 Systems of Linear Equations and Matrices System of linear algebraic equations and their solution constitute one of the major topics studied in the course known as linear algebra. In the first

More information

1 Last time: inverses

1 Last time: inverses MATH Linear algebra (Fall 8) Lecture 8 Last time: inverses The following all mean the same thing for a function f : X Y : f is invertible f is one-to-one and onto 3 For each b Y there is exactly one a

More information

Chapter 5. Linear Algebra. Sections A linear (algebraic) equation in. unknowns, x 1, x 2,..., x n, is. an equation of the form

Chapter 5. Linear Algebra. Sections A linear (algebraic) equation in. unknowns, x 1, x 2,..., x n, is. an equation of the form Chapter 5. Linear Algebra Sections 5.1 5.3 A linear (algebraic) equation in n unknowns, x 1, x 2,..., x n, is an equation of the form a 1 x 1 + a 2 x 2 + + a n x n = b where a 1, a 2,..., a n and b are

More information

Section 1.5. Solution Sets of Linear Systems

Section 1.5. Solution Sets of Linear Systems Section 1.5 Solution Sets of Linear Systems Plan For Today Today we will learn to describe and draw the solution set of an arbitrary system of linear equations Ax = b, using spans. Ax = b Recall: the solution

More information

Math 220: Summer Midterm 1 Questions

Math 220: Summer Midterm 1 Questions Math 220: Summer 2015 Midterm 1 Questions MOST questions will either look a lot like a Homework questions This lists draws your attention to some important types of HW questions. SOME questions will have

More information

Solutions to Math 51 Midterm 1 July 6, 2016

Solutions to Math 51 Midterm 1 July 6, 2016 Solutions to Math 5 Midterm July 6, 26. (a) (6 points) Find an equation (of the form ax + by + cz = d) for the plane P in R 3 passing through the points (, 2, ), (2,, ), and (,, ). We first compute two

More information

Math 4377/6308 Advanced Linear Algebra

Math 4377/6308 Advanced Linear Algebra 1.4 Linear Combinations Math 4377/6308 Advanced Linear Algebra 1.4 Linear Combinations & Systems of Linear Equations Jiwen He Department of Mathematics, University of Houston jiwenhe@math.uh.edu math.uh.edu/

More information

The scope of the midterm exam is up to and includes Section 2.1 in the textbook (homework sets 1-4). Below we highlight some of the important items.

The scope of the midterm exam is up to and includes Section 2.1 in the textbook (homework sets 1-4). Below we highlight some of the important items. AMS 10: Review for the Midterm Exam The scope of the midterm exam is up to and includes Section 2.1 in the textbook (homework sets 1-4). Below we highlight some of the important items. Complex numbers

More information

Math 369 Exam #2 Practice Problem Solutions

Math 369 Exam #2 Practice Problem Solutions Math 369 Exam #2 Practice Problem Solutions 2 5. Is { 2, 3, 8 } a basis for R 3? Answer: No, it is not. To show that it is not a basis, it suffices to show that this is not a linearly independent set.

More information

Linear Algebra March 16, 2019

Linear Algebra March 16, 2019 Linear Algebra March 16, 2019 2 Contents 0.1 Notation................................ 4 1 Systems of linear equations, and matrices 5 1.1 Systems of linear equations..................... 5 1.2 Augmented

More information

Math 3C Lecture 25. John Douglas Moore

Math 3C Lecture 25. John Douglas Moore Math 3C Lecture 25 John Douglas Moore June 1, 2009 Let V be a vector space. A basis for V is a collection of vectors {v 1,..., v k } such that 1. V = Span{v 1,..., v k }, and 2. {v 1,..., v k } are linearly

More information

February 20 Math 3260 sec. 56 Spring 2018

February 20 Math 3260 sec. 56 Spring 2018 February 20 Math 3260 sec. 56 Spring 2018 Section 2.2: Inverse of a Matrix Consider the scalar equation ax = b. Provided a 0, we can solve this explicity x = a 1 b where a 1 is the unique number such that

More information

MATH 152 Exam 1-Solutions 135 pts. Write your answers on separate paper. You do not need to copy the questions. Show your work!!!

MATH 152 Exam 1-Solutions 135 pts. Write your answers on separate paper. You do not need to copy the questions. Show your work!!! MATH Exam -Solutions pts Write your answers on separate paper. You do not need to copy the questions. Show your work!!!. ( pts) Find the reduced row echelon form of the matrix Solution : 4 4 6 4 4 R R

More information

Math 54 Homework 3 Solutions 9/

Math 54 Homework 3 Solutions 9/ Math 54 Homework 3 Solutions 9/4.8.8.2 0 0 3 3 0 0 3 6 2 9 3 0 0 3 0 0 3 a a/3 0 0 3 b b/3. c c/3 0 0 3.8.8 The number of rows of a matrix is the size (dimension) of the space it maps to; the number of

More information

1. What is the determinant of the following matrix? a 1 a 2 4a 3 2a 2 b 1 b 2 4b 3 2b c 1. = 4, then det

1. What is the determinant of the following matrix? a 1 a 2 4a 3 2a 2 b 1 b 2 4b 3 2b c 1. = 4, then det What is the determinant of the following matrix? 3 4 3 4 3 4 4 3 A 0 B 8 C 55 D 0 E 60 If det a a a 3 b b b 3 c c c 3 = 4, then det a a 4a 3 a b b 4b 3 b c c c 3 c = A 8 B 6 C 4 D E 3 Let A be an n n matrix

More information

MATH 1553, C.J. JANKOWSKI MIDTERM 1

MATH 1553, C.J. JANKOWSKI MIDTERM 1 MATH 155, C.J. JANKOWSKI MIDTERM 1 Name Section Please read all instructions carefully before beginning. You have 5 minutes to complete this exam. There are no aids of any kind (calculators, notes, text,

More information

MTH501- Linear Algebra MCQS MIDTERM EXAMINATION ~ LIBRIANSMINE ~

MTH501- Linear Algebra MCQS MIDTERM EXAMINATION ~ LIBRIANSMINE ~ MTH501- Linear Algebra MCQS MIDTERM EXAMINATION ~ LIBRIANSMINE ~ Question No: 1 (Marks: 1) If for a linear transformation the equation T(x) =0 has only the trivial solution then T is One-to-one Onto Question

More information

Chapter 1. Vectors, Matrices, and Linear Spaces

Chapter 1. Vectors, Matrices, and Linear Spaces 1.4 Solving Systems of Linear Equations 1 Chapter 1. Vectors, Matrices, and Linear Spaces 1.4. Solving Systems of Linear Equations Note. We give an algorithm for solving a system of linear equations (called

More information

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

Math 4A Notes. Written by Victoria Kala Last updated June 11, 2017 Math 4A Notes Written by Victoria Kala vtkala@math.ucsb.edu Last updated June 11, 2017 Systems of Linear Equations A linear equation is an equation that can be written in the form a 1 x 1 + a 2 x 2 +...

More information

Math 3C Lecture 20. John Douglas Moore

Math 3C Lecture 20. John Douglas Moore Math 3C Lecture 20 John Douglas Moore May 18, 2009 TENTATIVE FORMULA I Midterm I: 20% Midterm II: 20% Homework: 10% Quizzes: 10% Final: 40% TENTATIVE FORMULA II Higher of two midterms: 30% Homework: 10%

More information

We could express the left side as a sum of vectors and obtain the Vector Form of a Linear System: a 12 a x n. a m2

We could express the left side as a sum of vectors and obtain the Vector Form of a Linear System: a 12 a x n. a m2 Week 22 Equations, Matrices and Transformations Coefficient Matrix and Vector Forms of a Linear System Suppose we have a system of m linear equations in n unknowns a 11 x 1 + a 12 x 2 + + a 1n x n b 1

More information

Math Final December 2006 C. Robinson

Math Final December 2006 C. Robinson Math 285-1 Final December 2006 C. Robinson 2 5 8 5 1 2 0-1 0 1. (21 Points) The matrix A = 1 2 2 3 1 8 3 2 6 has the reduced echelon form U = 0 0 1 2 0 0 0 0 0 1. 2 6 1 0 0 0 0 0 a. Find a basis for the

More information

MathQuest: Linear Algebra

MathQuest: Linear Algebra MathQuest: Linear Algebra Linear Independence. True or False The following vectors are linearly independent: (,0,0), (0,0,2), (3,0,) 2. Which set of vectors is linearly independent? (a) (2,3),(8,2) (b)

More information

System of Linear Equations

System of Linear Equations Chapter 7 - S&B Gaussian and Gauss-Jordan Elimination We will study systems of linear equations by describing techniques for solving such systems. The preferred solution technique- Gaussian elimination-

More information

Systems of Linear Equations and Matrices

Systems of Linear Equations and Matrices Chapter 1 Systems of Linear Equations and Matrices System of linear algebraic equations and their solution constitute one of the major topics studied in the course known as linear algebra. In the first

More information

Lecture 4: Gaussian Elimination and Homogeneous Equations

Lecture 4: Gaussian Elimination and Homogeneous Equations Lecture 4: Gaussian Elimination and Homogeneous Equations Reduced Row Echelon Form An augmented matrix associated to a system of linear equations is said to be in Reduced Row Echelon Form (RREF) if the

More information

Vector Geometry. Chapter 5

Vector Geometry. Chapter 5 Chapter 5 Vector Geometry In this chapter we will look more closely at certain geometric aspects of vectors in R n. We will first develop an intuitive understanding of some basic concepts by looking at

More information

Lecture 2 Systems of Linear Equations and Matrices, Continued

Lecture 2 Systems of Linear Equations and Matrices, Continued Lecture 2 Systems of Linear Equations and Matrices, Continued Math 19620 Outline of Lecture Algorithm for putting a matrix in row reduced echelon form - i.e. Gauss-Jordan Elimination Number of Solutions

More information

Unit 4 Systems of Equations Systems of Two Linear Equations in Two Variables

Unit 4 Systems of Equations Systems of Two Linear Equations in Two Variables Unit 4 Systems of Equations Systems of Two Linear Equations in Two Variables Solve Systems of Linear Equations by Graphing Solve Systems of Linear Equations by the Substitution Method Solve Systems of

More information

Week #4: Midterm 1 Review

Week #4: Midterm 1 Review Week #4: Midterm Review April 5, NAMES: TARDIS : http://math.ucsb.edu/ kgracekennedy/spring 4A.html Week : Introduction to Systems of Linear Equations Problem.. What row operations are allowed and why?...

More information

Lecture 6 & 7. Shuanglin Shao. September 16th and 18th, 2013

Lecture 6 & 7. Shuanglin Shao. September 16th and 18th, 2013 Lecture 6 & 7 Shuanglin Shao September 16th and 18th, 2013 1 Elementary matrices 2 Equivalence Theorem 3 A method of inverting matrices Def An n n matrice is called an elementary matrix if it can be obtained

More information

Lecture 22: Section 4.7

Lecture 22: Section 4.7 Lecture 22: Section 47 Shuanglin Shao December 2, 213 Row Space, Column Space, and Null Space Definition For an m n, a 11 a 12 a 1n a 21 a 22 a 2n A = a m1 a m2 a mn, the vectors r 1 = [ a 11 a 12 a 1n

More information

ICS 6N Computational Linear Algebra Vector Equations

ICS 6N Computational Linear Algebra Vector Equations ICS 6N Computational Linear Algebra Vector Equations Xiaohui Xie University of California, Irvine xhx@uci.edu January 17, 2017 Xiaohui Xie (UCI) ICS 6N January 17, 2017 1 / 18 Vectors in R 2 An example

More information

Math 1314 Week #14 Notes

Math 1314 Week #14 Notes Math 3 Week # Notes Section 5.: A system of equations consists of two or more equations. A solution to a system of equations is a point that satisfies all the equations in the system. In this chapter,

More information

EBG # 3 Using Gaussian Elimination (Echelon Form) Gaussian Elimination: 0s below the main diagonal

EBG # 3 Using Gaussian Elimination (Echelon Form) Gaussian Elimination: 0s below the main diagonal EBG # 3 Using Gaussian Elimination (Echelon Form) Gaussian Elimination: 0s below the main diagonal [ x y Augmented matrix: 1 1 17 4 2 48 (Replacement) Replace a row by the sum of itself and a multiple

More information

Introduction to Linear Algebra, Second Edition, Serge Lange

Introduction to Linear Algebra, Second Edition, Serge Lange Introduction to Linear Algebra, Second Edition, Serge Lange Chapter I: Vectors R n defined. Addition and scalar multiplication in R n. Two geometric interpretations for a vector: point and displacement.

More information

Linear Algebra Exam 1 Spring 2007

Linear Algebra Exam 1 Spring 2007 Linear Algebra Exam 1 Spring 2007 March 15, 2007 Name: SOLUTION KEY (Total 55 points, plus 5 more for Pledged Assignment.) Honor Code Statement: Directions: Complete all problems. Justify all answers/solutions.

More information

Row Reduction and Echelon Forms

Row Reduction and Echelon Forms Row Reduction and Echelon Forms 1 / 29 Key Concepts row echelon form, reduced row echelon form pivot position, pivot, pivot column basic variable, free variable general solution, parametric solution existence

More information

OHSX XM511 Linear Algebra: Multiple Choice Exercises for Chapter 2

OHSX XM511 Linear Algebra: Multiple Choice Exercises for Chapter 2 OHSX XM5 Linear Algebra: Multiple Choice Exercises for Chapter. In the following, a set is given together with operations of addition and scalar multiplication. Which is not a vector space under the given

More information

MATH 20F: LINEAR ALGEBRA LECTURE B00 (T. KEMP)

MATH 20F: LINEAR ALGEBRA LECTURE B00 (T. KEMP) MATH 20F: LINEAR ALGEBRA LECTURE B00 (T KEMP) Definition 01 If T (x) = Ax is a linear transformation from R n to R m then Nul (T ) = {x R n : T (x) = 0} = Nul (A) Ran (T ) = {Ax R m : x R n } = {b R m

More information

Math 102, Winter 2009, Homework 7

Math 102, Winter 2009, Homework 7 Math 2, Winter 29, Homework 7 () Find the standard matrix of the linear transformation T : R 3 R 3 obtained by reflection through the plane x + z = followed by a rotation about the positive x-axes by 6

More information

if b is a linear combination of u, v, w, i.e., if we can find scalars r, s, t so that ru + sv + tw = 0.

if b is a linear combination of u, v, w, i.e., if we can find scalars r, s, t so that ru + sv + tw = 0. Solutions Review # Math 7 Instructions: Use the following problems to study for Exam # which will be held Wednesday Sept For a set of nonzero vectors u v w} in R n use words and/or math expressions to

More information

1300 Linear Algebra and Vector Geometry

1300 Linear Algebra and Vector Geometry 1300 Linear Algebra and Vector Geometry R. Craigen Office: MH 523 Email: craigenr@umanitoba.ca May-June 2017 Introduction: linear equations Read 1.1 (in the text that is!) Go to course, class webpages.

More information

(c)

(c) 1. Find the reduced echelon form of the matrix 1 1 5 1 8 5. 1 1 1 (a) 3 1 3 0 1 3 1 (b) 0 0 1 (c) 3 0 0 1 0 (d) 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 (e) 1 0 5 0 0 1 3 0 0 0 0 Solution. 1 1 1 1 1 1 1 1

More information

b for the linear system x 1 + x 2 + a 2 x 3 = a x 1 + x 3 = 3 x 1 + x 2 + 9x 3 = 3 ] 1 1 a 2 a

b for the linear system x 1 + x 2 + a 2 x 3 = a x 1 + x 3 = 3 x 1 + x 2 + 9x 3 = 3 ] 1 1 a 2 a Practice Exercises for Exam Exam will be on Monday, September 8, 7. The syllabus for Exam consists of Sections One.I, One.III, Two.I, and Two.II. You should know the main definitions, results and computational

More information

Linear Equations in Linear Algebra

Linear Equations in Linear Algebra 1 Linear Equations in Linear Algebra 1.1 SYSTEMS OF LINEAR EQUATIONS LINEAR EQUATION x 1,, x n A linear equation in the variables equation that can be written in the form a 1 x 1 + a 2 x 2 + + a n x n

More information

Notes on Row Reduction

Notes on Row Reduction Notes on Row Reduction Francis J. Narcowich Department of Mathematics Texas A&M University September The Row-Reduction Algorithm The row-reduced form of a matrix contains a great deal of information, both

More information