Complex conjugate

In mathematics, the complex conjugate of a complex number is the number with an equal real part and an imaginary part equal in magnitude but with opposite sign. That is, if \(a\) and \(b\) are real numbers, then the complex conjugate of \(a + bi\) is ⁠\(a - bi\)⁠. The complex conjugate of \(z\) is often denoted as \(\overline{z}\) or ⁠\(z^*\)⁠.

In polar form, if \(r\) and \(\varphi\) are real numbers then the conjugate of \(r e^{i \varphi}\) is ⁠\(r e^{-i \varphi}\)⁠. This can be shown using Euler's formula.

The product of a complex number and its conjugate is a real number: \(a^2 + b^2\) (or \(r^2\) in polar coordinates).

If a root of a univariate polynomial with real coefficients is complex, then its complex conjugate is also a root.

The complex conjugate of a complex number \(z\) is written as \(\overline z\) or ⁠\(z^*\)⁠. The first notation, a vinculum, avoids confusion with the notation for the conjugate transpose of a matrix, which can be thought of as a generalization of the complex conjugate. The second is preferred in physics, where dagger (†) is used for the conjugate transpose, as well as electrical engineering and computer engineering, where bar notation can be confused for the logical negation ("NOT") Boolean algebra symbol, while the bar notation is more common in pure mathematics.

If a complex number is represented as a \(2 \times 2\) matrix, the notations are identical, and the complex conjugate corresponds to the matrix transpose, which is a flip along the diagonal.

The following properties apply for all complex numbers \(z\) and ⁠\(w\)⁠, unless stated otherwise, and can be proved by writing \(z\) and \(w\) in the form ⁠\(a + b i\)⁠.

For any two complex numbers, conjugation is distributive over addition, subtraction, multiplication and division: \[\begin{align} \overline{z + w} &= \overline{z} + \overline{w}, \\ \overline{z - w} &= \overline{z} - \overline{w}, \\ \overline{zw} &= \overline{z} \; \overline{w}, \quad \text{and} \\ \overline{\left(\frac{z}{w}\right)} &= \frac{\overline{z}}{\overline{w}},\quad \text{if } w \neq 0. \end{align}\]

A complex number is equal to its complex conjugate if its imaginary part is zero, that is, if the number is real. In other words, real numbers are the only fixed points of conjugation.

Conjugation does not change the modulus of a complex number: \(\left| \overline{z} \right| = |z|.\)

Conjugation is an involution, that is, the conjugate of the conjugate of a complex number \(z\) is ⁠\(z\)⁠. In symbols, ⁠\(\overline{ \overline{z} } = z\)⁠.

The product of a complex number with its conjugate is equal to the square of the number's modulus: \[z\overline{z} = {\left| z \right|}^2.\] This allows easy computation of the multiplicative inverse of a complex number given in rectangular coordinates: \[z^{-1} = \frac{\overline{z}}{{\left| z \right|}^2},\quad \text{ for all } z \neq 0.\]

Conjugation is commutative under composition with exponentiation to integer powers, with the exponential function, and with the natural logarithm for nonzero arguments: \[\overline{z^n} = \left(\overline{z}\right)^n,\quad \text{ for all } n \in \Z\] \[\exp\left(\overline{z}\right) = \overline{\exp(z)}\] \[\ln\left(\overline{z}\right) = \overline{\ln(z)} \text{ if } z \text{ is not zero or a negative real number }\]

Condensed: the full section is in Wikipedia.

Once a complex number \(z = x + yi\) or \(z = re^{i\theta}\) is given, its conjugate is sufficient to reproduce the parts of the \(z\)-variable:

• Real part: \(x = \operatorname{Re}(z) = \dfrac{z + \overline{z}}{2}\)
• Imaginary part: \(y = \operatorname{Im}(z) = \dfrac{z - \overline{z}}{2i}\)
• Modulus (or absolute value): \(r= \left| z \right| = \sqrt{z\overline{z}}\)
• Argument: \(e^{i\theta} = e^{i\arg z} = \sqrt{\dfrac{z}{\overline z}},\) so \(\theta = \arg z = \dfrac{1}{i} \ln\sqrt{\frac{z}{\overline{z}}} = \dfrac{\ln z - \ln \overline{z}}{2i}\)

Furthermore, \(\overline{z}\) can be used to specify lines in the plane: the set \[\left\{z : z \overline{r} + \overline{z} r = 0 \right\}\] is a line through the origin and perpendicular to \({r},\) since the real part of \(z\cdot\overline{r}\) is zero only when the cosine of the angle between \(z\) and \({r}\) is zero. Similarly, for a fixed complex unit \(u = e^{i b},\) the equation \[\frac{z - z_0}{\overline{z} - \overline{z_0}} = u^2\] determines the line through \(z_0\) parallel to the line through 0 and ⁠\(u\)⁠.

These uses of the conjugate of \(z\) as a variable are illustrated in Frank Morley's book Inversive Geometry (1933), written with his son Frank Vigor Morley.

The other planar real unital algebras, dual numbers, and split-complex numbers are also analyzed using complex conjugation.

For matrices of complex numbers, \(\overline{\mathbf{AB}} = \left(\overline{\mathbf{A}}\right) \left(\overline{\mathbf{B}}\right),\) where \(\overline{\mathbf{A}}\) represents the element-by-element conjugation of \(\mathbf{A}.\) Contrast this to the property \(\left(\mathbf{AB}\right)^*=\mathbf{B}^* \mathbf{A}^*,\) where \(\mathbf{A}^*\) represents the conjugate transpose of \(\mathbf{A}.\)

Taking the conjugate transpose (or adjoint) of complex matrices generalizes complex conjugation. Even more general is the concept of adjoint operator for operators on (possibly infinite-dimensional) complex Hilbert spaces. All this is subsumed by the *-operations of C*-algebras.

One may also define a conjugation for quaternions and split-quaternions: the conjugate of \(a + bi + cj + dk\) is ⁠\(a - bi - cj - dk\)⁠.

All these generalizations are multiplicative only if the factors are reversed: \[{\left(zw\right)}^* = w^* z^*.\]

Since the multiplication of planar real algebras is commutative, this reversal is not needed there.

There is also an abstract notion of conjugation for vector spaces \(V\) over the complex numbers. In this context, any antilinear map \(\varphi: V \to V\) that satisfies

1. \(\varphi^2 = \operatorname{id}_V\,,\) where \(\varphi^2 = \varphi \circ \varphi\) and \(\operatorname{id}_V\) is the identity map on ⁠\(V\)⁠,
2. \(\varphi(zv) = \overline{z} \varphi(v)\) for all \(v \in V, z \in \Complex,\) and
3. \(\varphi\left(v_1 + v_2\right) = \varphi\left(v_1\right) + \varphi\left(v_2\right)\,\) for all \(v_1, v_2 \in V,\)

Condensed: the full section is in Wikipedia.