In this section we will show that any periodic signal with a, so called, Fundamental period $T_0$ can be composed as the sum of sinusoidal signals from which each of these frequencies is related to the, so called, Fundamental frequency $F_0 = 1/T_0$ as an integer multiple. In order to show this Fig. 1 depicts a signal $y_2(t)$ which is composed of the sum of two sinusoidal signals $x_1(t)$ of frequency $f_1 = 6$ [Hz] and $x_2(t)$ of frequency $f_2 = 2$ [Hz]. From this figure it follows that $y_2(t)$ is periodic and we can measure that the period equals $T_0 = 1/F_0 = 0.5$ [sec]. The reason for this periodicity of signal $y_2(t)$ is that exactly three periods of $x_1(t)$ and one period of $x_2(t)$ fit into one period $T_0$ of signal $y_2(t)$. Thus after each $T_0 = 0.5$ [sec] the same composition of the signals $x_1(t)$ and $x_2(t)$ appears in the signal $y_2(t)$.
The figure also shows another signal $y_3(t)$ which is composed of the sum three sinusoidal signals. The same sinusoidal signals $x_1(t)$, $x_2(t)$ and a new sinusoidal signal $x_3(t)$, with frequency $f_3 = 1.2$ [Hz]. Again it follows from the figure that $y_3(t)$ is periodic but now we can measure that the period equals $T_0 = 1/F_0 = 2.5$ [sec]. This is because of the fact that exactly fifteen periods of $x_1(t)$, five periods of $x_2(t)$ and three periods of $x_3(t)$ fit into one period $T_0$ of signal $y_3(t)$. Mathematically we can calculate $F_0 = 1/T_0$ of $y_3(t)$ as the Greatest Common Divisor (gcd) of the frequencies from the individual sinusoidal components, since $F_0 = \text{gcd}\{f_1, f_2, f_3\} = \text{gcd}\{6, 2, 1.2\} = 0.4$ [Hz]. The greatest common divisor of a set of numbers is the largest number that all numbers of that set can be fully divided by. From this it follows that the Fundamental period of $y_3(t)$ equals $T_0 = 1/F_0 = 2.5$ [sec]. This leads to the following general statement:
In the case that this general statement is true, all $N$ different frequencies of signal $x(t)$ are related by an integer number times the Fundamental frequency $F_0$. Thus we can define the largest frequency by $f_N = M\cdot F_0$ with integer $M \geq N$. With this definition we can write such a periodic signal $x_(t)$ as a weighted sum of phasor components as $$ x(t) = \sum_{k=-M}^{M} \alpha_k e^{j2\pi kF_0 t}, $$ in which the complex weights $\alpha_k$ represent the amplitude and phase of the frequency components at frequency $k \cdot F_0$. Finally note that possible $\alpha_0$ and definitely only $N$ out of $M$ complex weights $\alpha_k$ are not equal to zero.