Sergei Yakovenko's blog: on Math and Teaching

Wednesday, February 4, 2026

Huge Thank-you!

Today, almost everywhere, students submit evaluations of their professors as part of routine feedback. No special “quid pro quo” is expected beyond the grade you receive for your exams — and those grades remain confidential. Still, I would like to complement those grades with a public statement of my own.

I truly loved teaching your class, and each of you deserves a special thank-you for the role you played in the process.

  1. Maya: I tried to convince you that you didn’t need to copy everything from the screen into your notebook, since you would receive the lecture notes afterward. You convinced me instead that writing by hand helps you remember the key points more firmly. Perhaps one day I’ll be curious enough to take a look at your notes.
  2. Lee: Frankly, I used your eyes the way we use LED indicators on the dashboard of smart devices. When they blinked blue/green/marine, I knew I could move forward with confidence. When the color shifted to yellowish, I understood it was time to slow down and rephrase the last sentence. Thankfully, I never saw the red light flashing!
  3. Itay: I watched you carefully storing each new piece of information, making sure the overall structure would stand firm and serve as a solid ladder for your future students to climb to the very top.
  4. Rafi: Your enthusiasm for mathematical challenges at every level is truly amazing. If I watched you with the sound turned off, I could easily imagine a Beitar Jerusalem fan excitedly describing yesterday’s beautiful game to his friends. I envy your students — your passion seems highly contagious.
  5. Shahar: Your calm appearance cannot hide the artist inside who genuinely admires the beauty of mathematics. It is very difficult to transmit the sense of beauty from one person to another, but I hope in your case I succeeded. We will return to this theme in your final project on mathematical foundations of musical harmony.
  6. Doron: You remind me of a seasoned boatswain (bosun / רַב־חוֹבֵל) who double-checks every single piece of equipment to make sure it is in perfect working order. With such a solid, responsible attitude toward both studying and teaching, your boat will conquer the highest seas!
  7. Nadav: You were the ideal smoke detector complementing Lee’s LED panel. Always calm, yet closely following everything that happened in the class. Unlike a standard smoke detector that shrieks at the first sign of trouble, you quietly raised a question — most often signaling that I had just made a mistake or admitted an inaccuracy.

Course material

Filed under: books,lecture,Rothschild course "Analysis for high school teachers" — Sergei Yakovenko @ 8:44

Here are the screens displayed in the class, with the margin draws.

  1. All lecture notes (accumulated from the past years), including the subjects which were not covered in this year’s class.
  2. Lecture on the determinants (the issue that usually is treated in the linear algebra course)
  3. Lectures on analytic functions (convergence properties of power series), Part 1, Part 2.

Any your remarks, corrections, criticism will be most appreciated. Don’t hesitate to tell me that certain parts of the (printed) notes are difficult to digest or clumsily written. You will do me a favor, since I contemplate transforming these notes into a book.

Exam

Finally!… Here is the link to the exam problems. The rules of the game are in the preamble. Don’t hesitate to ask questions or arrange a zoom appointment.

It was a great pleasure to teach your class.

Good luck!

Sunday, November 23, 2025

Lectures 4, 5 (Nov 11 and 18, 2025)

We completed construction of the set of real numbers by completing the set of rational numbers \mathbb Q by adding solutions of all possible infinite systems of two-sided inequalities r \leqslant x \leqslant  r, \l\in L,\ r\in R, where (L,R) is a partition of all rational numbers into two non-empty sets so that each one of the above inequalities defines a nonempty set (eventually, a point). This is possible since the rationals \mathbb Q carry the natural order <.

The set of real numbers \mathbb R “seals” all gaps between rational numbers, guaranteening that \sqrt 2, \pi, e e.a. are in it. The arithmetic operations between real numbers are extending the corresponding rational operations performed on the respective inequalities, and the order < can also be extended on the real numbers. The most surprising feature of the set of the reals \mathbb R (the “holes between the rationals”) is much bigger (in a rather precise sense) than the set of the rationals themselvs. Most of the real numbers are invisible in the sense that there is no way (even in theory) to list them all. Think of all infinite decimal fractions whose digits are randomly generated: if we talk about the real randomness, then any hope of them being effectively described, disappears. The real gain we achieve from the construction of the real numbers is the limited warranty: any “number” that we can constructively think of, exists in the new universum without paying any special efforts to prove its existence.

The Cartesian powers \mathbb R^2,\mathbb R^3,\dots representing the geometric 2-plane, 3-space e.a., do not carry the linear order, so we have to replace it by a close notion of a distance between points of these powers. The distance is a symmetric nonnegative function of two arguments that satisfies the triangle inequality.

Once the distance is defined, we can talk about (round, open) balls of the form \{x\in\mathbb R^n:\ \mathrm{dist}(x,a)<\varepsilon\}, \varepsilon >0, \ a\in \mathbb R^n of the given radius and center. This paves the way to introducing the first notions of the topology, those of open and closed sets. By definition, a set A\subseteq \mathbb R^n is open, if together with each point a\in A it contains a round open ball centered in a.

The rest of the class was devoted to developing and accurate formalization of the intuitive idea of continuity of a map f:A\to\mathbb R^m, \ A\subseteq\mathbb R^n. The informal idea of a continuity of f at a is that for any open round ball B_\varepsilon of radius \varepsilon >0, no matter how small (but positive!) \varepsilon is, around the image b=f(a) one can find a small open round ball A_\delta of radius \delta >0 around a so that f(A_\delta)\subseteq B_\varepsilon (of course, wherever defined). This notion appears first as a local one (continuity in a point), but can be globalized (continuity on the entire domain).

Lecture notes (accumulated): https://drive.google.com/file/d/1knEouBLBIGD61dyYLU5NKx8MOHTEhziq/view?usp=sharing

Saturday, November 8, 2025

Analysis for high school teachers, 2025/2026. First three lectures (Oct 21, 28 and Nov 3, 2025).

שלום כיתה א! Here is the first installation of the lecture notes and zoom recordings for the course. I apologize for the technical problems that occurred in the first three lectures, and hope that we eventually overcome all these problems.

The subject of these first lectures was an initiation to the language of the (naive) set theory which today serves as the only spoken/written language of mathematics. Originally this language has the only undefined notion of a set which consists of elements and uses, in addition to letters denoting sets, the unique symbol (“predicate”) \in: the notation A \in B means that a set denoted by A is an element of another set denoted by B. We say that the two sets are equal if and only if they consist of the same elements. There is a unique set \varnothing which has no elements at all.

The predicate \in should not be confused with the symbol (predicate) \subseteq: we say that a set B is a subset of another set C and write B\subseteq C, if any element A\in B is also an element of C: \forall A\ A\in B \implies A\in C. By definition, \varnothing is a subset of any other set. Having said that, we define the union A\cup B and intersection A\cap B of any two sets. It is important to stress that there is no problem with defining infinite unions and intersections!

We discussed how these basic operations can be used to introduce the most fundamental notion, the set of natural numbers \mathbb N=\{1,2,3,\dots,\} which may or may not include the number 0 (this is a convention). The set of Peano axioms which starts, say, with two elements 0,1 and for any element n introduces a unique element n^+, the successor of n (so that 0^+=1), allows us to define the set of natural numbers \mathbb N “inductively” (imitating the human process of counting) and immediately leads us to the conclusion that \mathbb N must be infinite.

The possibility of counting using the natural numbers naturally gives rise to the two arithmetic operation, addition and multiplication: addition is a result of repeated (iterated) counting, while multiplication is an iterated addition. These operations are partially invertible, that is, the equations a+x = b and a\times x =b are sometimes solvable with respect to x in the natural numbers. Yet we can extend the set of naturals \mathbb N may be extended first to the set \mathbb Z of integer numbers, closed by subtraction, and the set \mathbb Q of rational numbers in which any equation of the form a\times x+b=c is always solvable if a\ne 0 (such a set is called a field with the four arithmetic operations) and can be equipped with the complete order >.

Yet the set of rational numbers, although sufficient for all arithmetic operations, is not sufficient for geometric applications. For instance, it does not contain solution of the equation x^2 =2 expressing the length of the diagonal of a unit square. In the same way the circumference 2\pi of the unit circle is also not a rational number. To cope with this, we need to extend the rational numbers even more, this time adding to them solutions of all (infinite) systems of two-sided inequalities of the form a\leqslant x \leqslant b with a,b\in\mathbb Q. On this way we construct the set of real numbers \mathbb R.

The first set of lecture notes is available at the link. https://drive.google.com/file/d/1U0I0CQHaDHH1fDlqRhy5RoBlXLzliFRe/view?usp=sharing

Later I will share with you the link to the recorded lecture. Enjoy!

Sunday, May 18, 2025

Lectures 6-7 (April 22, 29)

Laws of Large Numbers

On these two lectures we discussed the Central Limit Theorem (Moivre–Laplace theorem), which claims that for a sequence of independent identically distributed random variables with finite expectation \mu and variance \sigma^2 the normalized sum \dfrac{\sqrt n}{\sigma}\biggl(\frac1n\sum\limits_{i=1}^n X_i-\mu\biggr) converges to the so called normal distribution with the density function \frac1{\sqrt{2\pi}} \mathrm e^{-\frac{x^2}2}.

The lecture notes are available here

Saturday, April 5, 2025

Lecture 5 (April 1, 2025)

Filed under: lecture,Rothschild course "Probability" — Sergei Yakovenko @ 9:16

Expectation and variance

We for a random variable X:\Omega\to\mathbb R we introduced two very important numeric characteristics, expectation and variance.

The expectation \mathrm E X is (in the simplest setting) the weighted sum of values which the variable X takes with weights equal to the corresponding probabilities; it is a finite number or can be \pm\infty. If the expectation is zero, this means that X takes positive or negative values with equal probabilities. It depends linearly on X.

The variance \mathrm D X describes the spread of random variable around its expected value \mathrm E X. If the latter is zero, the the variance is a nonnegative number (possibly 0 or +\infty) equal to the expectation of the square \mathrm E X^2. Small variance means that X deviates from its expected value very rarely.

The lecture notes are available here, enjoy.

Sunday, March 30, 2025

Lectures 3-4 (March 18, 25) 2025

Filed under: Rothschild course "Probability" — Sergei Yakovenko @ 2:39

Conditional probability

This is one of quite tricky constructions in the Probability theory. Its formal definition is very simplpe: if we impose an additional assumption on the probability problem, then a new problem arises: some elementary events are excluded by the assumption, thus in the expression which “defines” the probability as the ratio of all “favorable” cases to the number of all “possible” cases, both numerator and denominator are changed (made smaller).

However, the intuition linking the original and the conditional problems is by no means that straight. Several “paradoxes” are discussed.

Random variables

Random variables are simply real valued functions X:\Omega\to\mathbb R on a given probability space, which are “measurable”: for each real interval U its preimage X^{-1}(U) must be an admissible (random) event.

Each random variable X is completely described by its distribution function F(x)=\mathrm P\{\omega: X(\omega)\leqslant x\}. If necessary, we add indication of the random variable and write F_X(x).

The lecture notes are available here, enjoy.

Monday, March 17, 2025

Probability-2025: first two lectures

Filed under: Uncategorized — Sergei Yakovenko @ 2:28

I still struggle with my home internet, but here is the link to the first 17 pages of the lecture notes. The subsequent lectures will appear hear in the due time.

The first lecture was about the nature of the Probability theory. The second was dedicated to the first steps of its rigorous mathematical formalization.

Monday, March 25, 2024

Analysis for High School Teachers 2023/2024: Exam

Filed under: lecture,Rothschild course "Analysis for high school teachers" — Sergei Yakovenko @ 6:35
Tags:

The exam problems accompanied by some auxiliary matter (necessary definitions, remarks, hints) is available by this link.

It is a take-home exam and you have one month to solve the problems and submit solutions. More details in the file. If you have any questions, please leave them as comments below or mail to Peleg/Sergei.

Good luck and חג פורים שמח

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