math 1553 introduction to linear...
TRANSCRIPT
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Math 1553Section M (M01-M04)Georgia Tech Fall 2020
Dan Margalit
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Me
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About Me
DOB 03/06/1976Sex MEyes HAZHgt 5’-10”Wgt 150 lbDonor ❤
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More About Me
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More About Me
Winning
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More About Me
I like…
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More About Me
I like…• Cake
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More About Me
I like…• Cake• Chocolate
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More About Me
I like…• Cake• Chocolate• Double Chocolate
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More About Me
I like…• Cake• Chocolate• Double Chocolate• Death by Chocolate
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Even More About Me
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The class
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This class will be online.
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This class will be online.And it will be
AWESOME
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Textbook
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Textbook
Interactive Linear AlgebraDan Margalit & Joe Rabinoff
The textbook is free and online.
Lay & MyMathLab are resources you can buy. I will not use them.
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Canvas
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Teams
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Microsoft Teams
On Microsoft Teams, you can find the lectures, and class discussion. Please familiarize yourself with both features.
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Your first assignment
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Mathematical Autobiography
The first assignment is to post a mathemaBcal autobiography on Teams, due Fri.
Include:• A recognizable photo of you• Preferred nickname• Your major• Anything about you that you’d like to share• About your relaBonship with Math
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AssessmentGrades!
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Grades
Category PercentageHomework 20% (2 drops)Quizzes 30% (1 drop)Midterms 30%Final Exam 20%
90% is an A, etc. Target scores may be moved in your favor.
If 85% of Section M does the CIOS at the end of the semester, one more quiz is dropped.Also, there is an optional writing assignment that can replace another quiz.
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Exams
Exam Date
Midterm 1 Sep 18 @ 8 am – 8 pm
Midterm 2 Oct 16 @ 8 am – 8 pm
Midterm 3 Nov 20 @ 8 am – 8 pm
Final Exam Dec 4 @ 9 am – 9 pm
Notify me ASAP if you have a conflict.
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Quizzes
• There are 10 quizzes, on Fridays.• Lowest quiz grade dropped (possibly two more, as above)• Typical timing:
Mon Tue Wed Thu Fri
Week N Class Class
HW due on Week N-1 material
Quiz on Week N-1
Week N+1 Class Class
HW due on Week N material
Quiz on Week N
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Homework
• WeBWorK• Generally due on Wed at 11:59 pm• Normally as many tries as you want, but there are a handful of
problems with a limited number of tries. The problem will say.• One you get told your answer is correct, you are done with that
problem.• Two lowest scores dropped
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WeBWorK
Under AssignmentsIn Canvas.It will work on your second attempt.
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Optional Writing Assignment
• Find application of linear algebra to some field of study outside of mathematics.• Write a 1-2 page summary in your own words (500-1000 words, but
don’t use a word counter)• Cite all references used• Can be completed any time. • You must explain any linear algebra that we have not yet covered in
class• Post on Teams in the Writing Assignment channel• Replaces your lowest quiz grade
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Advice, etc.
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Office Hours
• Microsoft Teams• Times to be announced• You should come!• Ok if you don’t have questions
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Statement of Inclusivity
I will strive to make this class accessible to people of all races, genders (including gender non-conforming individuals), sexual identities, and class backgrounds. While this is a priority for me, I do not claim to know how to best honor this commitment, and so I am very open to feedback from students when it comes to making the course more accessible and inclusive to all identities.
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Also
If you need anything, please ask.
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Honor Code
• You should abide by the GT honor code at all times.
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Some Things that Make Me Happy
• Have your camera on
• Pay attention
• Bring energy
• Ask questions
• Email / online etiquette
• Say hi
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Some Things that Make Me Happy
• Have your camera on
• Pay attention
• Bring energy
• Ask questions
• Email / online etiquette
• Say hi
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Some Things that Make Me Happy
• Have your camera on
• Pay attention
• Bring energy
• Ask questions
• Email / online etiquette
• Say hi
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Asking questions
• Please ask questions!
• Ok if your answers are not correct
• Will answer as many questions as I can
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Growth mindset
There is a prevalent belief that you are either “good” or “bad” at math, and if you are “bad” at it, then you will always be bad at it no matter how hard you try. This is false. Mathematics is just like any other discipline or skill: you can improve more and more with practice (think of any hobby you got better at over time).
Linear algebra will be completely new to most of you. You are all starting from the ground floor this semester.
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Difficulty of the Course
After the first exam, definitions will become fundamentally important!
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In-person meeting
November 13, during Studio time. Details to be announced.
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Good luck!
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Math 1553: Introduction to Linear AlgebraFall 2020, Georgia Tech
Dan Margalit
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Linear. Algebra.
What is Linear Algebra?
Linear
• having to do with lines/planes/etc.
• For example, x+ y + 3z = 7, not sin, log, x2, etc
Algebra
• solving equations involving numbers and symbols
• from al-jebr (Arabic), meaning reunion of broken parts
• 9th century Abu Ja’far Muhammad ibn Muso al-Khwarizmi
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Why a whole course?
Engineers need to solve lots of equations in lots of variables.
3x1 + 4x2 + 10x3 + 19x4 − 2x5 − 3x6 = 141
7x1 + 2x2 − 13x3 − 7x4 + 21x5 + 8x6 = 2567
−x1 + 9x2 + 32x3 + x4 + 14x5 + 27x6 = 26
12x1 + 4x2 + 10x3 + 11x4 + 2x5 + x6 = −15
Often, it’s enough to know some information about the set of solutions withouthaving to solve the equations at all!
In real life, the difficult part is often in recognizing that a problem can besolved using linear algebra in the first place: need conceptual understanding.
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Linear Algebra in Engineering
Almost every engineering problem, nomatter how huge, can be reduced to lin-ear algebra:
Ax = b or
Ax = λx or
Ax ≈ x
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Applications of Linear Algebra
Civil Engineering: How much traffic lies in the four unlabeled segments?
system of linear equations.
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Applications of Linear Algebra
Chemistry: Balancing reaction equations
x C2H6 + y O2 → z CO2 + w H2O
system of linear equations, one equation for each element.
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Applications of Linear Algebra
Biology: In a population of rabbits...
• half of the new born rabbits survive their first year
• of those, half survive their second year
• the maximum life span is three years
• rabbits produce 0, 6, 8 rabbits in their first, second, and third years
If I know the population in 2016 (in terms of the number of first, second, andthird year rabbits), then what is the population in 2017?
Say the numbers of first, second, and third year rabbits in year n are:
Fn, Sn, Tn
These relations can be represented using a matrix. 0 6 012
0 10 1
20
Demo
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Rabbit populations
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Rabbit populations
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Rabbit populations
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Rabbit populations
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Rabbit populations
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Rabbit populations
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Rabbit populations
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Rabbit populations
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Rabbit populations
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Rabbit populations
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Rabbit populations
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Rabbit populations
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Rabbit populations
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Rabbit populations
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Rabbit populations
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Applications of Linear Algebra
Geometry and Astronomy: Find the equation of a circle passing through 3given points, say (1,0), (0,1), and (1,1). The general form of a circle isa(x2 + y2) + bx+ cy + d = 0 system of linear equations.
Very similar to: compute the orbit of a planet: a(x2 + y2) + bx+ cy + d = 0
system of linear equations
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Applications of Linear Algebra
Google: “The 25 billion dollar eigenvector.” Each web page has someimportance, which it shares via outgoing links to other pages system oflinear equations. Stay tuned!
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Overview of the course
• Solve the matrix equation Ax = b
I Solve systems of linear equations using matrices and row reduction, andinverses
I Solve systems of linear equations with varying parameters using parametricforms for solutions, the geometry of linear transformations, thecharacterizations of invertible matrices, and determinants
• Solve the matrix equation Ax = λxI Solve eigenvalue problems through the use of the characteristic polynomialI Understand the dynamics of a linear transformation via the computation of
eigenvalues, eigenvectors, and diagonalization
• Almost solve the equation Ax = bI Find best-fit solutions to systems of linear equations that have no actual
solution using least squares approximations
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Overview of the course
• Solve the matrix equation Ax = bI Solve systems of linear equations using matrices and row reduction, and
inverses
I Solve systems of linear equations with varying parameters using parametricforms for solutions, the geometry of linear transformations, thecharacterizations of invertible matrices, and determinants
• Solve the matrix equation Ax = λxI Solve eigenvalue problems through the use of the characteristic polynomialI Understand the dynamics of a linear transformation via the computation of
eigenvalues, eigenvectors, and diagonalization
• Almost solve the equation Ax = bI Find best-fit solutions to systems of linear equations that have no actual
solution using least squares approximations
![Page 72: Math 1553 Introduction to Linear Algebrapeople.math.gatech.edu/~dmargalit7/classes/math1553Fall2020/slides/Aug17.pdf•Find application of linear algebra to some field of study outside](https://reader036.vdocuments.us/reader036/viewer/2022071102/5fdbe8b7ce3cce770f0afeab/html5/thumbnails/72.jpg)
Overview of the course
• Solve the matrix equation Ax = bI Solve systems of linear equations using matrices and row reduction, and
inversesI Solve systems of linear equations with varying parameters using parametric
forms for solutions, the geometry of linear transformations, thecharacterizations of invertible matrices, and determinants
• Solve the matrix equation Ax = λx
I Solve eigenvalue problems through the use of the characteristic polynomialI Understand the dynamics of a linear transformation via the computation of
eigenvalues, eigenvectors, and diagonalization
• Almost solve the equation Ax = bI Find best-fit solutions to systems of linear equations that have no actual
solution using least squares approximations
![Page 73: Math 1553 Introduction to Linear Algebrapeople.math.gatech.edu/~dmargalit7/classes/math1553Fall2020/slides/Aug17.pdf•Find application of linear algebra to some field of study outside](https://reader036.vdocuments.us/reader036/viewer/2022071102/5fdbe8b7ce3cce770f0afeab/html5/thumbnails/73.jpg)
Overview of the course
• Solve the matrix equation Ax = bI Solve systems of linear equations using matrices and row reduction, and
inversesI Solve systems of linear equations with varying parameters using parametric
forms for solutions, the geometry of linear transformations, thecharacterizations of invertible matrices, and determinants
• Solve the matrix equation Ax = λxI Solve eigenvalue problems through the use of the characteristic polynomial
I Understand the dynamics of a linear transformation via the computation ofeigenvalues, eigenvectors, and diagonalization
• Almost solve the equation Ax = bI Find best-fit solutions to systems of linear equations that have no actual
solution using least squares approximations
![Page 74: Math 1553 Introduction to Linear Algebrapeople.math.gatech.edu/~dmargalit7/classes/math1553Fall2020/slides/Aug17.pdf•Find application of linear algebra to some field of study outside](https://reader036.vdocuments.us/reader036/viewer/2022071102/5fdbe8b7ce3cce770f0afeab/html5/thumbnails/74.jpg)
Overview of the course
• Solve the matrix equation Ax = bI Solve systems of linear equations using matrices and row reduction, and
inversesI Solve systems of linear equations with varying parameters using parametric
forms for solutions, the geometry of linear transformations, thecharacterizations of invertible matrices, and determinants
• Solve the matrix equation Ax = λxI Solve eigenvalue problems through the use of the characteristic polynomialI Understand the dynamics of a linear transformation via the computation of
eigenvalues, eigenvectors, and diagonalization
• Almost solve the equation Ax = b
I Find best-fit solutions to systems of linear equations that have no actualsolution using least squares approximations
![Page 75: Math 1553 Introduction to Linear Algebrapeople.math.gatech.edu/~dmargalit7/classes/math1553Fall2020/slides/Aug17.pdf•Find application of linear algebra to some field of study outside](https://reader036.vdocuments.us/reader036/viewer/2022071102/5fdbe8b7ce3cce770f0afeab/html5/thumbnails/75.jpg)
Overview of the course
• Solve the matrix equation Ax = bI Solve systems of linear equations using matrices and row reduction, and
inversesI Solve systems of linear equations with varying parameters using parametric
forms for solutions, the geometry of linear transformations, thecharacterizations of invertible matrices, and determinants
• Solve the matrix equation Ax = λxI Solve eigenvalue problems through the use of the characteristic polynomialI Understand the dynamics of a linear transformation via the computation of
eigenvalues, eigenvectors, and diagonalization
• Almost solve the equation Ax = bI Find best-fit solutions to systems of linear equations that have no actual
solution using least squares approximations