*Here, you find my whole video series about Real Analysis in the correct order and you can choose between the bright and dark version of the videos. I also help you with some text and explanations around the videos. If you want to test your knowledge, please use the corresponding quiz and exercise sheet after watching the video. Moreover, you can also consult the PDF version of the video if needed. In the case you have any questions about the topic, you can contact me or use the community discussion in Mattermost and ask anything. However, without further ado let’s start:*

#### Part 1 - Introduction

**Real analysis** is a video series I started for everyone who is interested in calculus with the real numbers. It is needed for a lot of other topics in mathematics and the foundation of every new career in mathematics or in fields that need mathematics as a tool:

With this you now know the topics that we will discuss in this series. Some important bullet points are **limits**, **continuity**, **derivatives** and **integrals**. In order to describe these things, we need a good understanding of the real numbers. They form the foundation of a real analysis course. Now, in the next video let us discuss **sequences**.

#### Part 2 - Sequences and Limits

The notion of a **sequence** is fundamental in a lot of mathematical topics. In a real analysis course, we need sequences of real numbers, which you can visualise as an infinite list of numbers:

#### Part 3 - Bounded Sequences and Unique Limits

Now you know what a **convergent** sequence is. However, not all sequences are convergent. A weaker property is the notion of a **bounded** sequence.

###### Content of the video:

00:00 Intro

00:15 An example for showing that a sequence is divergent

03:41 Definition of a bounded sequence

04:36 A convergent sequence is also bounded

06:09 The limit of a convergent sequence is uniquely given

08:59 Outro

#### Part 4 - Theorem on Limits

At this point you know a lot about sequences, especially about convergent sequences. Since we do not want to work every time with the definition, using epsilons and so on, we prove the following **limit theorems**:

#### Part 5 - Sandwich Theorem

Another important property we will use a lot for showing that a sequence is convergent and also for calculating its limit is the **sandwich theorem**:

#### Part 6 - Supremum and Infimum

Now, we go back to general subsets of the real numbers and talk about some important concepts, **supremum** and **infimum** of sets:

#### Part 7 - Cauchy Sequences and Completeness

Let us talk about **Cauchy sequences**. These special sequences and the concept of **completeness** are deeply connected.

#### Part 8 - Example Calculation

Very good! It is time to explicitly calculate with an example. Also it is a good time to introduce, the very famous, **Euler’s number**.

#### Part 9 - Subsequences and Accumulation Values

Another important topic in Real Analysis and for sequences are so-called **accumulation values**.

#### Part 10 - Bolzano-Weierstrass Theorem

By knowing what accumulation values for sequences actually are, we can discuss a famous and important fact in this field: the **Bolzano-Weierstrass theorem**.

#### Part 11 - Limit Superior and Limit Inferior

There are two special accumulation values for a sequence: the **limit superior** and **limit inferior**.

#### Part 12 - Examples for Limit Superior and Limit Inferior

Let us do some **examples** and calculations rules for the limit superior and limit inferior:

#### Part 13 - Open, Closed and Compact Sets

Now, we are ready to talk about some important notions for subsets of the real numbers. Namely, we discuss what **open**, **closed**, and **compact** sets actually are.

#### Part 14 - Heine-Borel Theorem

Since we now know what compact sets in the real numbers are, we can ask what are necessary and sufficient conditions for knowing that a given set is compact. Indeed, for subsets of the real number line, the famous **Heine-Borel** theorem gives us a nice description:

###### Content of the video:

0:00 Introduction

0:20 Sequentially compact set

1:07 Empty set is compact

1:17 {5} is compact

1:50 R is not compact

2:10 Proof: [a,b] is compact

3:15 Heine-Borel theorem statement

3:58 Proof of Heine-Borel theorem

#### Part 15 - Series - Introduction

Let us start with the next big topic: **series**. One can see them as special sequences but we will see that they occur often in different problems.

#### Part 16 - Geometric Series and Harmonic Series

Two important examples for series are discussed in the next video: **geometric** series and **harmonic** series:

#### Part 17 - Cauchy Criterion

In the next videos we will talk about a lot of criteria we can use to test for convergence of a given series. We start with the simplest one: the **Cauchy criterion**:

#### Part 18 - Leibniz Criterion

The next criterion we will talk about is very useful for alternating series and called the **Leibniz criterion**:

#### Part 19 - Comparison Test

Since we already know some convergent and divergent series, it might be useful to use them to decide if a given series is also convergent or divergent. This is known as the **comparison test**. One distinguish between the majorant criterion and the minorant criterion, depending from which side one looks at the series and if one wants to show convergence or divergence.

#### Part 20 - Ratio and Root Test

By using the geometric series, the majorant criterion immediately leads to two very helpful tests: **root test** and **ratio test**.

#### Part 21 - Reordering for Series

A natural question when dealing with a series is if one can reorder it without changing the value like one knows happens for ordinary sums. However, for series a **reordering** can change the limit:

#### Part 22 - Cauchy Product

Let’s close the chapter about series with an important operation: the **Cauchy product**:

#### Part 23 - Sequence of Functions

The next chapter will deal with continuous functions. However first, we need to define some notions for **sequences of functions**:

#### Part 24 - Pointwise Convergence

The notion of **pointwise convergence** for a sequence of functions is a very natural one:

#### Part 25 - Uniform Convergence

Also the notion of **uniform convergence** for a sequence of functions is important and can be expressed with the help of the **supremum norm**:

#### Part 26 - Limits of Functionss

Now let us go to the definition of **continuity**. For this, we will need the notion of **limits** for functions:

#### Part 27 - Continuity and Examples

The definition of **continuity** can be easily formulated with sequences or just which the limit notion from above. After having this, we can look at some **examples**:

#### Part 28 - Epsilon-Delta Definition

Now we can finally talk about the **Epsilon-Delta definition** of continuity.

#### Part 29 - Combination of Continuous Functions

Continuous functions have a lot of nice properties. We start with the question what happens when we combine different functions, like **adding**, **multiplication**, and the **composition**.

#### Part 30 - Continuous Images of Compact Sets are Compact

Next nice property: **continuous images of compact sets** are always compact.

#### Part 31 - Uniform Limits of Continuous Functions are Continuous

**Uniform limits** of continuous functions have to be continuous as well:

#### Part 32 - Intermediate Value Theorem

The **intermediate value theorem**, finally!

#### Part 33 - Some Continuous Functions

Now, at this point, we really should look at important examples. The **exponential function**, we already have discussed a little bit. However, it turns out that there is an inverse, we call the **logarithm function**. Moreover, we can generalise the whole concept and find so-called **power series**:

#### Part 34 - Differentiability

After we have looked at some examples, we are now ready to talk about **differentiability**. This means we will finally define the derivative:

#### Part 35 - Properties for Derivatives

We can prove the **sum** and **product rule** for differentiable functions:

#### Part 36 - Chain Rule

Also very important is the so-called **chain rule** when we deal with compositions of differentiable functions:

#### Part 37 - Uniform Convergence for Differentiable Functions

In the following videos, we will look at a lot of examples, in particular ones that are given by power series. However, for them, **differentiability** is not clear at all. To show this property, we have to talk about what the **uniform convergence** of functions actually conserves. The next video is about such a nice theorem.

#### Part 38 - Examples of Derivatives and Power Series

Let’s apply all our knowledge about derivatives to get important **examples**:

#### Part 39 -Derivatives of Inverse Functions

Now we want to calculate the derivative of the logarithm function. Since it is the inverse of the exponential function, we should try to find an **inversion formula** for derivatives. This is indeed possible:

#### Part 40 - Local Extreme and Rolle’s Theorem

In this an in the next video we will talk about the famous Mean Value Theorem. As a groundwork, we have to proof **Rolle’s theorem** first:

#### Part 41 - Mean Value Theorem

Now, we are ready to formulate and prove the **Mean Value Theorem** first:

#### Part 42 - L’Hospital’s Rule

Next, let us apply our knowledge to prove the popular **Theorem of l’Hospital** and apply to examples:

#### Part 43 - Other L’Hospital’s Rules

Now, let’s formulate a **generalisation** for l’Hospital’s theorem by considering four different cases that can occur in applications:

#### Part 44 - Higher Derivatives

The next important topic will be about Taylor’s formula. In order to understand this, we need to talk about **higher derivatives** first:

#### Part 45 - Taylor’s Theorem

Now we finally discuss **Taylor’s Theorem**:

#### Part 46 - Application for Taylor’s Theorem

Let us immediately look at an **application for Taylor’s Theorem** by approximating a value of complicated function:

#### Part 47 - Proof of Taylor’s Theorem

Now we can **prove Taylor’s Theorem** by using the generalised mean value theorem from above:

#### Part 48 - Riemann Integral - Partitions

Finally, we start with the **Riemann integral** by using the definition of a **partition** and **step function**:

#### Part 49 - Riemann Integral for Step Functions

Now we can define the **Riemann integral for step functions**:

#### Part 50 - Properties of the Riemann Integral for Step Functions

Let us show important **properties** of the **Riemann integral for step functions**:

#### Part 51 - Riemann Integral - Definition

Now we are finally ready to define the **Riemann integral for bounded functions**:

#### Part 52 - Riemann Integral - Examples

Let us look at **examples** for calculating the **Riemann integral** using the approximation by step functions:

#### Part 53 - Riemann Integral - Properties

Now we can talk about some important **properties** of the **Riemann integral** for bounded functions:

#### Part 54 - First Fundamental Theorem of Calculus

Finally, we talk about one of the main results in this course: the so-called **First Fundamental Theorem of Calculus**:

#### Part 55 - Second Fundamental Theorem of Calculus

And also we should talk about the **Second Fundamental Theorem of Calculus**:

#### Part 56 - Proof of the Fundamental Theorem of Calculus

Now let us prove the **Fundamental Theorem of Calculus** by using the **Mean Value Theorem of Integration**:

#### Part 57 - Integration by Substitution

Next, we will discuss some integration rules. We start with **substitution**.

#### Part 58 - Integration by Parts

A similar rule that can simplify integrals is given by **integration by parts**. It can help you when you have an integral of a product of two functions.

#### Part 59 - Integration by Partial Fraction Decomposition

The next thing in our toolbox for integration can help you when you need to integrate rational functions. What we will need is the so-called **partial fraction decomposition**. After doing this, finding the antiderivatives is not hard at all.

#### Part 60 - Integrals on Unbounded Domains

The next part is about **improper Riemann integrals**. In particular, we will consider integration on **unbounded domains**. This is something the ordinary Riemann integral couldn’t cover by definition. However, we can extend this definition when we combine it with a usual limit of real numbers.

#### Part 61 - Comparison Test for Integrals

You might have already recognised that these improper Riemann integrals are related to infinite series. Indeed, we find a similar **comparison test** for integrals as well:

#### Part 62 - Integral Test for Series

Moreover, integral can be used to show convergence of series and vice versa. However, often integrals are easier to calculate because of the fundamental theorem of calculus. Therefore, we find the **integral test of convergence** for series:

#### Part 63 - Improper Riemann Integrals for Unbounded Domains

Now, we can also extend the notion of an **improper Riemann integral** for functions that have holes in the domain of definition. More precisely, we define the Riemann integral for **unbounded functions**:

#### Part 64 - Cauchy Principal Value

Now, finally, we tackle the last video in this series. Let us close the topic of improper Riemann integrals and also talk about a generalisation of them: the so-called **Cauchy principal value**:

#### Connections to other courses

#### Summary of the course Real Analysis

- You can download the whole PDF here.
- You can download the whole printable PDF here.