A few years ago, while I was still in college, I gave a seminar entitled βThe Most Beautiful Formula in Mathematicsβ. Many friends were unable to attend and asked for a transcript of the seminar, which I now provide.
The text is divided into two more or less independent parts, depending on your prior knowledge. In this first part we will talk about Eulerβs number and see what makes it so special. In the second part (to be posted) we will study Eulerβs formula itself, a beautiful connection between Eulerβs number and trigonometric functions obtained with the help of complex numbers.
As a final note before we begin, I want to make it clear that most of the developments I will present were taken from other sources; however, due credit will be given.

Cover of Paul J. Nahinβs book, which contains several applications of the βDr. Eulerβs Fabulous Formulaβ.
I. Eulerβs number
For a long time I was intrigued by the use of the number e=2.7182818... as the base of the so-called natural logarithm. How could this base be natural? Why this number in particular? How can an irrational number be more natural than any natural number? I found a satisfactory answer in Eulerβs own work, presented masterfully in William Dunhamβs book Euler: The Master of Us All.
Our starting point is exponentiation. More specifically, we will analyze powers of the form aΟ with Ο βsmallβ, that is, Οβ0 in the more modern language of limit theory. In Eulerβs time, Differential and Integral Calculus had not yet gone through the formalization process that later became standard through the concept of limits, so Euler used the concept of infinitesimals: infinitely small quantities. In homage to Euler, I will avoid the use of limits in this article, using the concept of infinitesimal in an intuitive and non-rigorous way. Still following Euler, I will use the Greek letters Ο and Ο as symbols for these infinitesimal quantities.
Notice that aΟ will get closer and closer to 1 as the value of Ο approaches 0. In other words, we can write
aΟ=1+ΟβΉΟ=aΟβ1,β(1)
with Οβ0 whenever Οβ0.
Let us take a=2 and make Ο smaller and smaller. We obtain the following table:
| Ο | 2Ο | Ο | k=ΟΟβ |
|---|
| 0.1 | 1.071773463 | 0.071773463 | 0.717734625 |
| 0.01 | 1.006955550 | 0.006955550 | 0.695555006 |
| 0.001 | 1.000693387 | 0.000693387 | 0.693387463 |
| 0.0001 | 1.000069317 | 0.000069317 | 0.693171204 |
| 0.00001 | 1.000006931 | 0.000006931 | 0.693149583 |
| 0.000001 | 1.000000693 | 0.000000693 | 0.693147421 |
| 0.0000001 | 1.000000069 | 0.000000069 | 0.693147204 |
Notice that as we decrease Ο, Ο also decreases. If we define the proportion between the second and the first as k=ΟΟβ, we see that this proportion seems to approach a constant value, kβ0.693 (some will recognize this number!).
Let us see how the table looks for a=5:
| Ο | 5Ο | Ο | k=ΟΟβ |
|---|
| 0.1 | 1.174618943 | 0.174618943 | 1.746189431 |
| 0.01 | 1.016224591 | 0.016224591 | 1.622459127 |
| 0.001 | 1.001610734 | 0.001610734 | 1.610733753 |
| 0.0001 | 1.000160957 | 0.000160957 | 1.609567434 |
| 0.00001 | 1.000016095 | 0.000016095 | 1.609450864 |
| 0.000001 | 1.000001609 | 0.000001609 | 1.609439208 |
| 0.0000001 | 1.000000161 | 0.000000161 | 1.609438043 |
The ratio k is different for a=5, but it seems to approach a given value, just as in the case of a=2.
Given that k=ΟΟββΉΟ=kΟ, we can rewrite equation (1) as:
aΟ=1+kΟ.β(2)
From this equation, we can isolate a:
a=(1+kΟ)Ο1β,β
where we extract the Ο -th root of equation (2).
To compute any power x of a, not necessarily infinitesimal, we can write
ax=(1+kΟ)Οxβ.β
Notice that j=Οxβββ, given the infinitesimal nature of Ο (a finite number divided by a quantity sufficiently close to zero will result in a number as large as we want). We can also write Ο=jxβ and substitute it into the equation above, together with the definition of j, which gives us
ax=(1+jkxβ)j.β(3)
Our intention is to apply the Binomial Theorem to this last equation. However, we will use a version with simplified binomial coefficients (canceling much of the factorials) which, incidentally, remains valid for the generalization of the binomial formula with real exponents first demonstrated by Newton. The Binomial Theorem tells us that, given nβN and x,yβR:
(x+y)nβ=(0nβ)xn+(1nβ)xnβ1y1+(2nβ)xnβ2y2+(3nβ)xnβ3y3+β―=0!n!n!βxn+1!(nβ1)!n!βxnβ1y1+2!(nβ2)!n!βxnβ2y2+3!(nβ3)n!βxnβ3y3+β―=1xn+1!(nβ1)!n(nβ1)!βxnβ1y1+2!(nβ2)!n(nβ1)(nβ2)!βxnβ2y2+3!(nβ3)!n(nβ1)(nβ2)(nβ3)!βxnβ3y3+β―=xn+1!nβxnβ1y1+2!n(nβ1)βxnβ2y2+3!n(nβ1)(nβ2)βxnβ3y3+β―β
Applying the Binomial Theorem in the form above with n=j, x=1 and y=jkxβ, we get:
axβ=1+1!jββ
jkxβ+2!j(jβ1)ββ
j2k2x2β+3!j(jβ1)(jβ2)ββ
j3k3x3β+4!j(jβ1)(jβ2)(jβ3)ββ
j4k4x4β+β¦=1+jjββ
1!kxβ+j2j(jβ1)ββ
2!k2x2β+j3j(jβ1)(jβ2)ββ
3!k3x3β+j4j(jβ1)(jβ2)(jβ3)ββ
4!k4x4β+β¦=1+jjββ
1!kxβ+jjβ(jjβ1β)β
2!k2x2β+jjβ(jjβ1β)(jjβ2β)β
3!k3x3β+jjβ(jjβ1β)(jjβ2β)(jjβ3β)β
4!k4x4β+β¦=1+1β
1!kxβ+1(1βj1β)β
2!k2x2β+1(1βj1β)(1βj2β)β
3!k3x3β+1(1βj1β)(1βj2β)(1βj3β)β
4!k4x4β+β¦β
Now, if we remember that jββ, we will see that the terms j1β, j2β, j3β, j4β,β―β0, and the monstrosity above reduces to:
ax=1+kx+2!k2x2β+3!k3x3β+4!k4x4β+β¦(4)
Setting x=1, we immediately obtain the value of a in terms of k alone:
a=1+k+2!k2β+3!k3β+4!k4β+β¦(5)
As an example, taking k=0.693 and using the first four terms of this equation, we obtain a=1.9982, a value very close to 2.
Among all possible values of k, which one would be the most βnaturalβ? Which value of k would make the calculation of ax easiest? If we take k=0, we get a=1 and, of course, all powers will be easy to compute, but everything would be very boring! The next candidate would be k=1, and here things get interesting! The value of a corresponding to k=1 even has a special letter to represent it: e. Eulerβs number finally appears!
Let us see what consequences we can draw from the fact that k=1 corresponds to Eulerβs number, establishing its special character:
- If we set k=1 in equation (5), we get:
e=1+1+2!1β+3!1β+4!1β+β¦(6)
- If we set k=1 in equation (2), we get:
eΟ=1+Ο,
that is, it is very easy to compute eΟ for infinitesimal Ο.
- If we set k=1 in equation (3), we get:
ex=(1+jxβ)j,jββ.
Taking x=1 and using the modern language of limits, we have:
e=jββlimβ(1+j1β)j.
This last formula is generally used as the definition of Eulerβs number in calculus textbooks.
- Finally, if we set k=1 in equation (4), we get:
ex=1+x+2!x2β+3!x3β+4!x4β+β¦,β(7)
and we see that it is easy to compute ex even for non-infinitesimal x. In fact, more than that, we can estimate the error when we use (3) for small but non-infinitesimal values of Ο.
I recommend that the reader use a scientific calculator, a spreadsheet, or even a programming language to obtain estimates for Eulerβs number and its powers through the equations listed above. As an example, thanks to the factorials in (6), it is enough to sum 7 terms to obtain a value correct to the third decimal place:
eβ2.718.
A more precise value would be
e=2.718281828459045235360287471352662497757247β¦
If you would like to hear the first 5000 digits of e, I made a video:
Relation to powers in other bases
Compare equation (7) with (4). The right-hand sides are practically the same! We just need to replace x by k in equation (7), that is:
ek=1+k+2!k2β+3!k3β+4!k4β+β―=a.
Then we can find a in terms of k through e:
a=ek,
and thus we see that k is nothing other than the natural logarithm of a:
k=lna.(8)
The limiting values of k obtained in the tables above are recognized as ln(2)=0.6931471805599453... and ln(5)=1.6094379124341003....
If you are not familiar with the logarithm function, observe that by definition it is precisely the function that gives us k given a. It would be interesting if we had an easy way to compute it, would it not? After all, we quickly run into problems with the accuracy of the calculations if we use the table method above. We provide a series for computing the logarithm in the bonus section at the end, still following Euler.
Before that, however, we will leave a brief note on the question of convergence.
Note on infinite sums and convergence
We must emphasize that all these sums in (4), (5), (6) and (7) are infinite. We must always be careful when dealing with this type of sum, and we should observe under which conditions the sums make sense, that is, when (and if) they converge to a finite value. In this particular case, it is not hard to prove that the sums in question produce finite results for any k,xβR, thanks to the factorials in the denominators, which grow faster than any power present in the numerators. All of this can be demonstrated rigorously, but it would take even more time in this brief seminar. For now, contemplate (5) written as follows and notice how quickly the denominators grow:
exβ=1+x+2x2β+6x3β+24x4β+120x5β+720x6β+5040x7β+40320x8β+362880x9β+3628800x10β+39916800x11β+β¦β
If we take x=2, for example, the 11th-power term contributes only 39916800211β=399168002048ββ0.0000513 to the final result.
Bonus: A series for the natural logarithm function
Let us begin by isolating k in (2):
k=ΟaΟβ1β
To apply Newtonβs binomial trick once more, let us set a=1+x and remember that, by (8), k=ln(a)=ln(1+x), so the equation above becomes
k=ln(1+x)=Ο(1+x)Οβ1β.(9)
Now, by Newtonβs binomial theorem, we have:
(1+x)Οβ=1+1!Οβx+2!Ο(Οβ1)βx2+3!Ο(Οβ1)(Οβ2)βx3+4!Ο(Οβ1)(Οβ2)(Οβ3)βx4+β¦β
Passing the number 1 to the left-hand side and dividing both sides by Ο, we get:
Ο(1+x)Οβ1ββ=1!1βx+2!(Οβ1)βx2+3!(Οβ1)(Οβ2)βx3+4!(Οβ1)(Οβ2)(Οβ3)βx4+β¦β
On the other hand, Ο is an infinitesimal, that is, Οβ0, so:
ln(1+x)β=Ο(1+x)Οβ1β=1!1βx+2!(0β1)βx2+3!(0β1)(0β2)βx3+4!(0β1)(0β2)(0β3)βx4+β¦=1!1βx+2β1βx2+1β
2β
3(β1)(β2)βx3+1β
2β
3β
4(β1)(β2)(β3)βx4+β¦=xβ2x2β+3x3ββ4x4β+β¦β
In other words, we have:
ln(1+x)=xβ2x2β+3x3ββ4x4β+5x5ββ6x6β+β¦(10)
Observe that here we no longer have factorials in the denominators and, in fact, this series does not converge for every x, but only for β1<xβ€1.
Take x=2, for example, and see how the partial sums oscillate and seem to grow larger and larger in magnitude:
s1βs2βs3βs4βs5βs6βs7βs8ββ=2=2β222β=0=2β222β+323β=2.666...=2β222β+323ββ424β=β1.333...=2β222β+323ββ424β+525β=5.066...=2β222β+323ββ424β+525ββ626β=5.6=2β222β+323ββ424β+525ββ626β+727β=12.6857142857...=2β222β+323ββ424β+525ββ626β+727ββ828β=β19.3142857143...β
The correct value is ln(1+2)=ln(3)=1.0986122886681098....
Here, Euler once again sheds light on the problem, because by replacing x with βx in (10), we have:
ln(1βx)=βxβ2x2ββ3x3ββ4x4ββ5x5ββ6x6βββ¦,
and, using a well-known property of logarithms:
ln(1+x)βln(1βx)β=ln(1βx1+xβ)=(xβ2x2β+3x3ββ4x4β+β¦)β(βxβ2x2ββ3x3ββ4x4β+β¦)=2(x+3x3β+5x5β+β¦)β
Let us highlight this last result:
ln(1βx1+xβ)=2(x+3x3β+5x5β+β¦)
Setting x=21β, we have 1βx1+xβ=1β1/21+1/2β=3 and, from the last series obtained:
ln(3)=ln(1β1/21+1/2β)β=2(21β+2331β+2551β+2771ββ¦)=1+121β+801β+4481β+β¦,β
and now the series converges to the correct value of ln(3). Summing only the first four terms shown above already gives us ln(3)β1.0981, correct to the third decimal place.