Difference between revisions of "MAT4223"

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(Edited prerequisites (weeks1-3 ))
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*Convergence of sequences of numbers, Cauchy criterion
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* [[Sequences and Their Limits]] <!-- 3213-3.1 -->
* Limits of functions, continuity, differentiability, Riemann integrability
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* [[The Cauchy Criterion for Convergence]] <!-- 3213-3.5 -->
 
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* [[The Definition of the Limit of a Function]] <!-- 3213-4.1 -->
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* [[Continuous Functions on Intervals]] <!-- 4213-5.3 -->
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* [[The Derivative]] <!-- 4213-6.1 -->
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* [[Riemann Integrable Functions ]] <!-- 4213-7.2 -->
  
 
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*  Understand the difference between pointwise convergence and uniform convergence
 
*  Understand the difference between pointwise convergence and uniform convergence
 
 
*  Understand how the continuity, diferrentiablity and integrability behave under uniform convergence
 
*  Understand how the continuity, diferrentiablity and integrability behave under uniform convergence
 
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* Convergence of series of numbers
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* [[Introduction to Infinite Series ]] <!-- 3213-3.7 -->
   
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* [[Uniform Convergence of Sequences of Functions]] <!-- 4223-7.1 -->
  
 
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* Tests for convergence of series of numbers
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* Taylor expansion formula
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* [[Power Series and Functions ]] <!-- 1224-6.1 -->
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* [[Ratio and Root Tests ]]  <!-- 1224-5.6 -->
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* [[Comparison Tests ]]  <!-- 1224-5.4 -->
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* [[Uniform Convergence of Series of Functions]] <!-- 4223-7.2 -->
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* Determine the set of convergence for a power series
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* Determine the set of convergence for a power series
 
 
 
* Apply the results of the previous sections to power series.
 
* Apply the results of the previous sections to power series.
 
* Apply the results to the elementary functions  
 
* Apply the results to the elementary functions  
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* Uniform Convergence of Sequences of Functions  
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* [[Uniform Convergence of Series of Functions|The Weierstrass M-test]] <!-- 4223-7.1 -->
  
 
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* Vectors and operations with vectors, the dot product.
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* [[Vectors, Matrices, and Gauss-Jordan Elimination|Vectors and the Dot Product]] <!-- 2233- 1.2 and 1.3 -->
* Basic knowledge of trigonometry
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* [[Properties of the Trigonometric Functions]] <!-- 1093-2.3 -->
  
 
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* Norms in the Euclidean space, comparison  
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* Norms in the Euclidean space, comparison  
 
* Cauchy-Schwartz inequality, triangle inequality
 
* Cauchy-Schwartz inequality, triangle inequality
  
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* Basic linear algebra concepts: matrices, linear transformations
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* [[Introduction to Linear Transformations ]] <!-- 2233-2.1 -->
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* [[Vectors, Matrices, and Gauss-Jordan Elimination|Basics of Matrices]] <!-- 2233- 1.2 and 1.3 -->
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* [[Euclidean Spaces: Algebraic Structure and Inner Product]] <!-- 4223-8.1 -->
  
 
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* Basic notions of topology on the real line
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* [[Intervals|Closed and open intervals ]] <!-- 3213-3.7 -->
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* [[Cluster Points]] <!-- 3213-4.1 -->
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* [[Absolute Value and the Real Line ]] <!-- 3213-2.2-->
  
 
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Revision as of 13:39, 5 August 2020

Topics List

Date Sections Topics Prerequisite Skills Student Learning Outcomes
Week 1
7.1

Uniform Convergence of Sequences of Functions

  • Understand the difference between pointwise convergence and uniform convergence
  • Understand how the continuity, diferrentiablity and integrability behave under uniform convergence
Week 1
7.2

Uniform Convergence of Series of Functions

  • Learn the term-by-term differentiation (resp. integration) theorem
  • Weierstrass M-test
Week 2
7.3 and 7.4

Power Series and Analytic Functions


  • Determine the set of convergence for a power series
  • Apply the results of the previous sections to power series.
  • Apply the results to the elementary functions
Week 2
7.5

Weierstrass Example

  • Learn to construct a continuous function everywhere which is not differentiable anywhere


Week 3
8.1

Euclidean Spaces: Algebraic Structure and Inner Product

  • Norms in the Euclidean space, comparison
  • Cauchy-Schwartz inequality, triangle inequality


Week 3
8.2

Linear Tranformations

  • The matrix of a linear transformation
  • The norm of a linear transformation
  • Write equations of hyperplanes in the Euclidean space


Week 3
8.3 and 8.4

The Topology of Higher Dimensions: interior, closure and boundary

  • Learn basic notions of topology in the Euclidean space


Week 4
9.1

Limits of Sequences in the Euclidean space and Bolzano-Weierstrass Theorem

  • Limits of sequences of numbers
  • Convergence theorems
  • Bolzano-Weierstrass Theorem


Week 4
9.2


The Heine-Borel Theorem

  • Bolzano-Weierstrass Theorem
  • Understand the structure of compact sets
  • Applications


Week 5
9.3

Limits of Functions

  • Limits of real-valued functions
  • Limit theorems, sequential criterion
  • Iterated limits
  • Commutation of iterated limits


Week 5
9.4

Continuous Functions

  • Continuous real-valued functions
  • Characterizations of continuity
  • Properties of continuous functions
  • Extreme value theorem


Week 6
11.1

Partial Derivatives and Integrals

  • Basic results from Real Analysis I
  • Commutation of partial derivatives
  • Commutation of the limit with the the integral
  • Differentiating under the integral sign


Week 7
11.2


Differentiation of vector-valued functions

  • Differentiation of real-valued functions and geometric interpretation
  • Necessary and sufficient conditions for differentiation
  • The total derivative of a differentiable function
  • Determine whether a function if differentiable or not


Week 7
11.3 and 11.4

Rules for Differentiation and tangent planes

  • Rules for Differentiation of real-valued functions
  • Basic rules for differentiation and applications
  • Tangent hyperplanes to surfaces
  • Chain rule


Week 8
11.5

Mean-Value Theorems

  • Mean-value theorems for real-valued functions
  • Mean-value theorems for vector-valued functions
  • Lipschitz functions


Week 8
11.5 and 11.6

Taylor's Formula in several variables

Taylor's formula for real-valued functions

  • Taylor's Formula in several variables, applications


Weeks 8 and 9
11.6

The Inverse Function Theorem and the Implicit Function Theorem

  • The inverse function theorem for real-valued functions
  • Cramer's rule for solving linear systems of equations
  • The inverse function theorem and the implicit function theorem for vector-valued functions
  • Applications


Week 10
9.6

Lebesque theorem for Riemann Integrability on the Real Line

  • Riemann integrability on real-valued functions
  • The Riemann integrable functions are those almost everywhere continuous


Weeks 11 and 12
12.1

Integration in the Euclidean space: Jordan regions and Volume

  • Darboux integration for real-valued functions
  • Jordan regions: volume and properties


Weeks 13 and  14
12.2

Riemann Integration on Jordan Regions in Higher Dimensions

  • Riemann and Darboux integration for real-valued functions
  • Definition of a Riemann integrable function, characterization, properties
  • Any continuous function on a closed Jordan region is integrable
  • Mean-valued theorems for multiple integrals
Week 15
12.3

Iterated Integrals and Fubini's Theorem

  • Basic integration theory from the previous section
  • Fubini's theorem and applications