When dealing with real numbers, we introduced the absolute value function , with which we could specify the distance of a certain number to zero. Visualised on the real number line this looks as follows:
Also in the complex plane we can determine the distance of a complex number from the zero point. For this we use the theorem of Pythagoras. Let be a complex number:
With the Pythagorean theorem, for the distance from zero, we have . By taking roots on both sides, can be determined. There is:
The absolute value transfers some concepts of real numbers to the complex numbers. As in the real numbers is the distance between and , so is in the complex numbers the distance between and . The distance in turn can be used to define terms such as a limit: A complex number is the limit value of a sequence of complex numbers, if the distance between the limit value and the sequence elements becomes arbitrarily small (below any ).
The imaginary unit as a root of fulfils the equation . We can imagine the multiplication as a rotation around the zero point. Now because of the equation , the multiplication is the same as . Thus, is an operation that corresponds to a rotation when used twice.
If a double multiplication with corresponds to a rotation, then a single multiplication must correspond to a rotation. In particular, the imaginary unit is equal to the number which results from a rotation of the number by :
It is common in Mathematics to turn counter-clockwise. Thus, is located where in the lies on the axis. However, one could just as well have turned clockwise. Then the would lie at the position of the on the axis:
We could also have derived the complex numbers from this alternative rotation. In that case we would have obtained a different set of complex numbers where the imaginary unit is below the axis. In this alternative set of complex numbers the roles of and are reversed. So if we swap everywhere, essential properties and structures obtained by number range expansion should be preserved. Such an interchange is shown in the figure:
In this figure, the imaginary part is multiplied by . This corresponds to a reflection of the complex number on the real () axis:
An example where this reflection is useful are the zeros of the function . There is . Therefore is a zero of . On the other hand there is also and therefore is another zero. Let us consider with the zero . One might think that the negative of the number, , is another zero. Unfortunately this is not the case. But if we exchange with , i.e. if we look at the complex number , we get another zero:
For die Nullstelle eines Polynoms scheint das an der reellen Achse gespiegelte eine weitere Nullstelle zu sein. Dies ist im Übrigen for all Polynome with rein reellen Koeffizienten der Fall. Dies weist darauf hin, dass die Abbildung eine Besondere ist. Diese Abbildung wird complex Konjugation genannt.
For the zero point of a polynomial, the mirrored on the real axis seems to be another zero point. This is the case for all polynomials with purely real coefficients. This indicates that the mapping might be particularly useful. As you progress with your math studies, you will see that it is useful in many more situations. So we better give it a name. Let's call it complex conjugation (since it connects/ conjugates and ).
This can also be explained as follows: is the reflection of on the real axis. So is the reflection of the reflection, which is just the original complex number.
We know how the conjugation behaves with the sum and product of two numbers. What happens with sums and products with three or more numbers like ? We use a trick: First, we consider as a single complex number. Then,we twice use the theorem of conjugation and sum:
There is also no difference for three summands if we first sum everything and then apply conjugation to the resulting number, or if we first conjugate every number and then sum everything. This is generally true for arbitrary sums and products of complex numbers, as we will prove below via induction.
Theorem (Compatibility for arbitrarily many complex numbers)
For every and all complex numbers there is:
Proof (Compatibility for arbitrarily many complex numbers)
We prove this theorem for the sum via full induction. The proof for the finite product can be done analogously.
Theorem whose validity shall be proven for bewiesen werden soll:
Theorem (Compoutation of the inverse via conjugation)
For all complex numbers there is .
Proof (Compoutation of the inverse via conjugation)
Let be an arbitrary complex number. We want to show . This is done by proving . With we get
Because the inverse is unique in a field, follows. This proves that is equal to the inverse of .
Hint
When proving that the complex numbers form a field, we have also derived a multiplicative inverse of . There we have seen . This is consistent with the new representation by complex conjugation:
We already know that for the inverse of a complex number there is: . We have also seen that real numbers are not changed by the conjugation and that the conjugation is compatible with the multiplication. We first show: . For this we use that is real and that holds.
This gives us for the conjugation of fractions of complex numbers with :
In order to prove an inequality , we can also just prove the two inequalities and . We will apply exactly this technique: in the following, we establish the two inequalities and .
Let's start with the first inequality. We use the triangle inequality of the complex amount and the trick of "inserting a fruitful " (which often appears together with triangle inequalities):
By transformation we obtain . We show the second inequality analogously, where the roles of and are reversed. In addition, we gradually transform into :
This implies . So in all, we have proven the two inequalities and . This establishes .