For years I have wondered if there is a connection between the harmonic series in music theory and the harmonic series in mathematics. Here is what I know so far, music first, mathematics second.
The Harmonic Series in Music
Much of what I know about harmonic series in music comes from the many guitar lesson books I have read as well as from the information provided by Wikipedia at
http://en.wikipedia.org/wiki/Harmonic_series_(music)
Here is how I understand it. Strings on a guitar are fastened to two nodes, one called the nut, which is located at one end of the fretboard, and one called the bridge, which is located on the body of the guitar. A node is a fastening point at which little or no vibration takes place. See Figure 1.

Figure 1 Guitar nodes
When a guitar string is plucked, it oscillates simultaneously at many different frequencies.
The Fundamental and its Overtones
The lowest of the frequencies at which a string vibrates is called the fundamental tone. The fundamental tone is the tone produced as the string vibrates over the full length of the guitar, from the bridge to the nut. See Figure 2.

Figure 2 The fundamental tone
Each of the other frequencies is a whole number (the whole numbers are 0, 1, 2, 3, 4, 5, … ) multiples of the fundamental frequency. Symbolically, if we represent the frequency of the fundamental tone with the letter f, then the frequencies of the other overtones are represented by 2f, 3f, 4f, etc.
Check out Figures 3, 4, and 5 to see graphical representations of the first, second and third overtones.

Figure 3 The first overtone

Figure 4 The second overtone

Figure 5 The third overtone
Harmonics
The terms harmonics and overtones are often used interchangeably.
The Harmonic Series in Music

Figure 6
In stringed instruments, such as the guitar, the harmonic series in music theory is the set of integer multiples of the harmonic.
Symbolically, we have 
A frequency is harmonic if it is an integer multiple of the fundamental frequency. See Figure 7

Figure 7
For example, if the fundamental frequency of a plucked string is 100 Hz, then

Figure 8
The Harmonic Series in Music
In music theory, a harmonic series is the set consisting of the fundamental tone (fundamental frequency) and all its overtones. See Figure 9.

Figure 9
When taken all together, the human ear perceives the harmonic series as a single tone. I think of this as adding all the tones together produces a single tone.
The Wavelengths of the Harmonic Series
If you look back up to Figures 3, 4, and 5, you can see that

Figure 10
So, the ear perceives the sum of the fundamental and all the overtones as one single tone. If we think in terms of wavelengths we generate the sum illustrated below.

The Harmonic Series in Mathematics
The harmonic series in mathematics is illustrated below

This series diverges. That is, it does not sum to a finite value. As terms are added, the sum just gets bigger and bigger with no bound. Put another way, given any number at all, we can go far out enough in the series to obtain a number larger than the number we are given. Here is a nice proof that the harmonic series diverges. To believe the proof, you have to believe that

gets bigger and bigger and bigger, and never adds to a finite value. The proof shows that the harmonic series is even larger than the ½ series.

Proof by Comparison
Because the sum of the infinitely many ½ terms diverges to infinity and the harmonic series is larger than the ½ series, the harmonic series must also diverge to infinity.
Relating the Harmonic Series in Music and the Harmonic Series in Mathematics
Now, finally we get to it. The harmonic series in mathematics diverges. If we think in terms of wavelengths, the harmonic series in music is the same as the mathematics harmonic series. This means that the harmonic series in music also diverges.
But we noted that the ear perceives the harmonic series as a single tone. That seems to indicate that the series adds to a finite value. What! But we know it does not. I think what happens is that once we are out far enough in the series, the wavelengths are so small (say like 1/500, 1/1,000,000), that we do not hear the sounds they generate. We hear only the sounds that correspond to maybe the first few wavelengths. Theoretically, there are infinitely many tones. We hear only some. But practically, there are probably not infinitely many tones. The string and the guitar are physical objects and as such there are likely only a finite number of overtones. It would be hard to believe there could be infinitely many nodes along a guitar fretboard.
I think, too, that part of the problem I was having in relating the two series was one of terminology. In English as a noun, the word series means a group of related or similar things arranged in some order or succession.. As a noun, a series is also defined as a sequence of related things. Thus, the set of harmonics
can be viewed as a series. In mathematics, however, the set of harmonics
is a sequence. It is a set in which the individual elements are listed in a particular order. A series in mathematics is the sum of the elements of a sequence. So as a noun, the words series and sequence are used interchangeably. In mathematics they are distinct terms. I was thinking of series in the mathematical sense, as a sum of terms.
When I started this article I really did not know how what the relationship between the harmonic series in music and the harmonic series in mathematics would be. But by writing about it and drawing the pictures, I had to think about it. I think I have my thoughts about a connection between the two resolved.
What’s more, I resolved it without once referring to my cousin, let’s call him “Dave,” and his fascination with white socks and sock heights. This week I will think hard about a connection between the harmonic series and white socks and the affect of sock height on series convergence.

I generated the pictures of the overtones using the free graphing calculator provided by the nice people at
http://rentcalculators.org/stheli.html
I captured the graphs with screen shots using Snapz Pro X by Ambrosia Software.
http://www.ambrosiasw.com/utilities/snapzprox/