Difference between revisions of "MAT4213"

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<div style="text-align: center;">1.1</div>
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<div style="text-align: center;">5.4</div>
  
 
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[[Injective and Surjective Functions]]  
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[[Uniform Continuity]]  
  
 
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* [[Functions(The Cartesian Product Definition)]] <!-- 3213-1.1 -->
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* [[Continuous Functions]] <!-- 4213-5.1 -->
* [[Direct and Inverse Images]] <!-- 3213-1.1 -->
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* [[Continuous Functions on Intervals]] <!-- 4213-5.3 -->
* [[Set Operations]] <!-- 3213-1.1 -->
 
  
 
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* Injective functions
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* The definition of uniform continuity
* Surjective functions
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* Nonuniform continuity criteria
* Bijective functions
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* Uniform continuity theorem
  
 
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<div style="text-align: center;">5.4</div>
  
 
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[[Inverse Functions]]  
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[[Lipschitz Functions]]  
  
 
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* [[Injective and Surjective Functions]]  <!-- 3213-1.1 -->
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* [[Uniform Continuity]]  <!-- 4213-5.3 -->
* [[Direct and Inverse Images]] <!-- 3213-1.1 -->
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* [[Functions(The Cartesian Product Definition)]] <!-- 3213-1.1 -->
  
 
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* Definition of Inverse functions
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* Definition of a Lipschitz function
* Criteria for an Inverse of a function to exist
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* If a function is Lipschtiz, then it is uniformly continuous
  
 
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<div style="text-align: center;">5.4</div>
  
 
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[[Composition of Functions]]
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[[The Continuous Extension Theorem]]
  
 
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* [[Functions(The Cartesian Product Definition)]] <!-- 3213-1.1 -->
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* [[Continuous Functions on Intervals]] <!-- 4213-5.3 -->
* [[Direct and Inverse Images]] <!-- 3213-1.1 -->
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* [[Uniform Continuity]] <!-- 4213-5.3 -->
  
 
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* Definition of a composition function
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* Uniform continuity and Cauchy sequences
* When function composition is defined
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* The Continuous Extension Theorem
  
 
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<div style="text-align: center;">5.4</div>
  
 
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[[Restrictions on Functions]]
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[[Approximations of Continuous Functions]]
  
 
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* [[Functions(The Cartesian Product Definition)|Domain and Range]] <!-- 3213-1.1 -->
 
* [[Functions(The Cartesian Product Definition)|Domain and Range]] <!-- 3213-1.1 -->
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* [[Continuous Functions on Intervals]] <!-- 4213-5.3 -->
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* [[The Continuous Extension Theorem]] <!-- 4213-5.4 -->
  
 
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* Define the restriction of a function
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* Definition of a step function
* Positive Square Root function
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* On closed and bounded intervals, continuous functions can be approximated by piecewise linear functions
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* Weierstrass approximation theorem
  
 
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Revision as of 17:02, 20 July 2020

The textbook for this course is Introduction to Real Analysis by Bartle and Sherbert

A comprehensive list of all undergraduate math courses at UTSA can be found here.

The Wikipedia summary of Real Analysis.

Topics List

Date Sections Topics Prerequisite Skills Student Learning Outcomes
Week 1
5.1

Continuous Functions

  • The definition of a continuous function
  • Sequential criterion for continuity
  • Discontinuity criterion


Week 1/2
5.2

Combinations of Continuous Functions

  • Sums, differences, products and quotients of continuous functions on the same domain
  • Composition of continuous functions
Week 2
5.3

Continuous Functions on Intervals

  • Bounded Functions
  • The boundedness theorem on closed and bounded intervals
  • Definitions of absolute maximum and absolute minimum of a function
  • The maximum-minimum theorem


Week 2/3
5.3

The Intermediate Value Theorem

  • The Location of Roots theorem
  • The Intermediate Value Theorem
  • The image of a continuous functions on a closed and bounded interval is a closed and bounded interval


Week 3
5.4


Uniform Continuity

  • The definition of uniform continuity
  • Nonuniform continuity criteria
  • Uniform continuity theorem


Week 3/4
5.4


Lipschitz Functions

  • Definition of a Lipschitz function
  • If a function is Lipschtiz, then it is uniformly continuous


Week 4
5.4

The Continuous Extension Theorem

  • Uniform continuity and Cauchy sequences
  • The Continuous Extension Theorem


Week 4/5
5.4


Approximations of Continuous Functions

  • Definition of a step function
  • On closed and bounded intervals, continuous functions can be approximated by piecewise linear functions
  • Weierstrass approximation theorem


Week 2
1.2

Mathematical Induction

  • Well-ordering principal
  • Principal of Mathematical induction
  • The principal of Strong Induction


Week 2
1.3


Finite and Infinite Sets

  • Definition of finite and infinite sets
  • Uniqueness Theorem
  • If T is a subset of S and T is infinite, then S is also infinite.


Week 2
1.3

Countable Sets

  • Countable and Uncountable sets
  • The set of rational numbers is countable
  • Cantor's Theorem


Week 3
2.1


Algebraic Properties of the Real Numbers

  • Algebraic properties of the Real Numbers


Week 3
2.1

Rational and Irrational Numbers

  • The Rational Numbers
  • Proof that the Square Root of 2 does not exist in the rational numbers
  • The Irrational Numbers


Week 2
2.1

The Ordering Properties of the Real Numbers

  • The ordering properties of the real numbers
  • Tricotomy property
  • If 0 <= a < x for each x in the positive real numbers, then a = 0.


Week 2
2.1

Inequalities

  • Using the order properties to solve equations
  • Arithmetic-geometric mean
  • Bernoulli's Inequality


Week 2/3
2.2

Absolute Value and the Real Line

  • The absolute value function
  • The Triangle Inequality
  • Distance between elements of the real numbers
  • Definition of an epsilon neighborhood


Week 3
2.3

Suprema, Infima, and the Completeness Property

  • Upper and lower bounds of sets
  • Definition of the suprema and infima of a set
  • Thed completeness property of the real numbers


Week 3
2.4

Applications of the Supremum Property

  • Bounded Functions
  • The Archimedean Property
  • The existence of the square root of 2
  • Density of the rational numbers in the real numbers


Week 3/4
2.5

Intervals

  • Types of Intervals
  • Characterization of Intervals
  • Nested intervals
  • The Nested Intervals Property
  • Demonstrate that the real numbers are not countable


Week 4
3.1

Sequences and Their Limits

  • Definition of the limit of a sequence
  • The uniqueness of limits in the real numbers
  • Tails of sequences
  • Examples of common sequences


Week 4
3.2

The Limit Laws for Sequences

  • Bounded Sequences
  • Summation, difference, products, and quotients of sequences
  • The squeeze theorem for sequences
  • Divergent Sequences


Week 4/5
3.3

Monotone Sequences

  • Increasing and Decreasing sequences
  • The Monotone Convergence theorem
  • Inductively defined sequences
  • The existence of Euler's Number


Week 5
3.4

Subsequences

  • Definition of a Subsequence
  • If a sequence converges to limit L, then every subsequence of that sequence also converges to L.
  • Definition of a divergent Sequence
  • Divergence criteria of a sequence
  • Monotone subsequence theorem


Week 5
3.4

The Bolzano Weierstrass Theorem

  • The Bolzano Weierstrass Theorem
  • Examples using the Bolzano Weierstrass Theorem


Week 5/6
3.4

The Limit Superior and Limit Inferior

  • Definition of the limit superior and limit inferior
  • Equivalent statements defining the limit superior and limit inferior
  • A bounded sequence converges if and only if its limit superior equals its limit inferior


Week 6
3.5

The Cauchy Criterion for Convergence

  • Definition of a Cauchy sequence
  • A sequence converges if and only if it is a Cauchy sequence
  • Contractive sequences


Week 6
3.6

Properly Divergent Sequences

  • Limits that tend to infinity
  • Properly divergent sequences


Week 6/7
3.7

Introduction to Infinite Series

  • Sequences of partial sums
  • If a series converges, then the sequence of coefficients for that series must converge to zero.
  • Examples of common series
  • Comparison tests for series
Week 12
4.1

Cluster Points

  • Definition of a cluster point
  • The cluster point as the limit of a sequence


Week 12
4.1

The Definition of the Limit of a Function

  • The definition of the limit of a function at a point
  • The uniqueness of limits at cluster points
  • Examples of limits of functions
Week 12/13
4.1

The Sequential Criterion and Divergence Criteria

  • The sequential criterion for limits of functions at a point
  • Divergence criteria for limits
  • The signum function


Week 13
4.2

The Limit Theorems for Functions

  • Functions bounded on a neighborhood of a cluster point
  • Sums, differences, products, and quotients of limits
  • The squeeze theorem for limits of functions
  • Examples of Limits using the limit theorems


Week 14
4.3

One Sided Limits

  • The definition of the right and left hand limits of a function at a point
  • The sequential criterion for the left and right hand limits
  • The limit of a function at a point exists if and only if its left and right hand limits are equal


Week 14/15
4.3

Infinite Limits and Limits at Infinity

  • The definition of an infinite limit
  • If the function f is less than the function g on a specified domain and f tends to infinity, then g tends to infinity on this domain as well.
  • The definition of a limit has its independent variable approaches infinity
  • The sequential criterion for limits at infinity