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Michael Wimmer authoredMichael Wimmer authored
title: Complex Numbers
Complex numbers
Complex numbers are numbers of the form
Usual operations for numbers have their natural extension for complex numbers as we shall see below.
Some definitions:
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For a complex number
z = a + b {{\rm i}},ais called the real part, andbthe imaginary part. -
The complex conjugate
z^*ofz = a + b {{\rm i}}is defined asz^* = a - b{{\rm i}},i.e., taking the complex conjugate means flipping the sign of the imaginary part.
Addition
For two complex numbers,
Multiplication
For the same two complex numbers
A consequence of this definition is that the product of a complex number
Division
The quotient
The complex plane
Complex numbers can be rendered on a two-dimensional (2D) plane, the complex plane. This plane is spanned by two unit vectors, one horizontal, which represents the real number 1, whereas the vertical unit vector represents
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Note that the norm of
Addition in the complex plane
Adding two numbers in the complex plane corresponds to adding the horizontal and vertical components:
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We see that the sum is found as the diagonal of a parallelogram spanned by the two numbers.
Argument and Norm
A complex number can be represented by two real numbers,
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The angle with the horizontal axis is denoted by
A complex number can be represented either by its real and imaginary part, corresponding to the Cartesian coordinates in the complex plane, or by its norm and its argument, corresponding to polar coordinates. The norm is the length of the vector, and the argument is the angle it makes with the horizontal axis.
From our previous discussion on polar coordinates we can conclude that for a complex number
Complex functions
A complex function
Let’s see whether we can find a condition for this to happen. We assume that the function f is continuous. Note that, as f is complex, it can be written as a real plus an imaginary part: f(z) = u(z) + {\rm i} v(z). For z=x + \rm i y, we can write the two functions u and v in terms of x and y. Let us assume that the two partial derivatives of these functions with respect to x and y exist.
Calculating the partial derivatives of f with respect to x and y yields: \frac{\partial f(z)}{\partial x} = \lim_{dx \rightarrow 0} \frac{f(z+dx) - f(z)}{dx} = \frac{\partial u}{\partial x} + {\rm i} \frac{\partial v}{\partial x}, and \frac{\partial f(z)}{\partial y} = \lim_{dy \rightarrow 0} \frac{f(z+{\rm i} dy) - f(z)}{dy} = \frac{\partial u}{\partial y} + {\rm i} \frac{\partial v}{\partial y}. Unlike df/dz, these derivatives are always defined. In terms of these two partial derivatives, we can find the derivative with respect to any direction using first-order Taylor expansions. Taking dz = d x + {\rm i} dy, we have f(z + dz) = u(x+dx, y+dy) + {\rm i} v(x+dx, y+dy) = u(x,y) + {\rm i} v(x,y) + dx \frac{\partial u}{\partial x} + dy \frac{\partial u}{\partial y} + {\rm i} \left[ dx \frac{\partial v}{\partial x} + dy \frac{\partial v}{\partial y} \right]. Collecting the terms proportional to dx and dy respectively we obtain: f(z + dz ) = f(z) + \left( \frac{\partial u}{\partial x} + {\rm i} \frac{\partial v}{\partial x} \right) dx + \left( \frac{\partial u}{\partial y} + {\rm i} \frac{\partial v}{\partial y} \right) dy. Let’s write f(z + dz ) - f(z) = \left( \frac{\partial u}{\partial x} + {\rm i}\frac{\partial v}{\partial x} \right) dx + {\rm i} \left( -{\rm i} \frac{\partial u}{\partial y} + \frac{\partial v}{\partial y} \right) dy. If the derivative df/dz exists, the right hand side divided by dz should be independent of dz=dx + {\rm i} dy! Thus, f(z) is differentiable only when \frac{\partial u}{\partial x} + {\rm i} \frac{\partial v}{\partial x} = -{\rm i} \frac{\partial u}{\partial y} + \frac{\partial v}{\partial y}. Equating the real and imaginary parts of the left and right hand side we obtain the
TODO: Here was a remark environment
[ Cauchy Riemann differential equations: \frac{\partial u}{\partial x} = \frac{\partial v}{\partial y} {~~~ \rm and ~~~ } \frac{\partial v}{\partial x} = - \frac{\partial u}{\partial y}. The derivative is then given as \frac{df}{dz} = \frac{\partial u}{\partial x} + {\rm i} \frac{\partial v}{\partial x}. A complex function whose real and imaginary part (u and v) obey the Cauchy-Riemann differential equations in a point z, is complex differentiable at the point z. ]{}
Note that differentiability is a property which not only pertains to a function, but also to a point.
It can be shown that a complex function which is differentiable in z, is infinitely differentiable. Such a function is called analytic in the point z. An analytic function can be expanded as an inifinite series near any point where the function is analytic. Here, “near any” point indicates that the series converges and coincides with f only on a circle in the complex plane. The radius of that circle is limited to the distance of z to the nearest point w where the function is not analytic. This distance is called the convergence radius.
Recall that the Taylor series around a complex point a has the form f(z) = \sum_{j=0}^\infty d_j (z-a)^j, where d_j = \frac{1}{j!} f^{(j)} (a). Here, f^{(j)}(a) denotes the j-th derivative of the function f in the point a.
The complex exponential function
The exponential function f(z) = \exp(z) = e^z is defined as: \exp(z) = e^{x} \left( \cos y + {\rm i} \sin y\right).
Exercise Check that this function obeys \exp(z_1) \exp(z_2) = \exp(z_1 + z_2). You need sum- and difference formulas of cosine and sine.
Exercise Check that \exp(z) obeys the Cauchy-Riemann equations and that the derivative is the exponential function itself: \frac{d \exp(z)}{dz} = \exp(z). Note that, for any complex number z, we can write z = |z| e^{\rm i \varphi}, where \varphi = \text{arg}(z).
In real calculus, the logarithmic function is the inverse of the exponential function. Similarly, we want the complex logarithm to be the inverse of the complex exponential function. Let’s write w = \exp(z) = e^x(\cos y + \rm i \sin y). We know then that \log(w) = z = x + \rm i y. Realising that the norm of \cos y + \rm i \sin y is 1 (check this!), we see that \left|w\right| = e^x. Therefore, the real part of \log w is the real logarithm of |w|.
The imaginary part of the \log w should be y. Now, y is the argument of w. All in all, we therefore see that \log w = \log|w| + \rm i \arg(w).
The complex exponential is used extremely often. It occurs in Fourier transforms and is very convenient for doing calculations involving cosines and sines.
Let us show some tricks where the simple properties of the exponential function helps in re-deriving trigonometric identities.
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Take |z_1| = |z_2| = 1, and \arg{(z_1)} = \varphi_1 and \arg{(z_2)} = \varphi_2. Then it is easy to see that z_i = \exp({\rm i} \varphi_i), i=1, 2. Then: z_1 z_2 = \exp[{\rm i} (\varphi_1 + \varphi_2)]. The left hand side can be written as z_1 z_2 = \left[ \cos(\varphi_1) + {\rm i} \sin(\varphi_1) \right] \left[ \cos(\varphi_2) + {\rm i} \sin(\varphi_2) \right] = \cos\varphi_1 \cos\varphi_2 - \sin\varphi_1 \sin\varphi_2 + {\rm i} \left( \cos\varphi_1 \sin\varphi_2 + \sin\varphi_1 \cos\varphi_2 \right). On the other hand, the right hand side can be written as \exp[{\rm i} (\varphi_1 + \varphi_2)] = \cos(\varphi_1 + \varphi_2) + {\rm i} \sin(\varphi_1 + \varphi_2). Comparing the two expressions, equating their real and imaginary parts, we find \cos(\varphi_1 + \varphi_2) = \cos\varphi_1 \cos\varphi_2 - \sin\varphi_1 \sin\varphi_2; \sin(\varphi_1 + \varphi_2) = \cos\varphi_1 \sin\varphi_2 + \sin\varphi_1 \cos\varphi_2. Note that we used the resulting formulas already in order to derive the properties of the exponential function. The point is that you can use the properties of the complex exponential to quickly find the form of gonometric formulas which you easily forget.
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As a final example, consider what we can learn from the derivative of the exponential function: \frac{d}{d\varphi} \exp({\rm i} \varphi) = {\rm i} \exp({\rm i} \varphi) . Writing out the exponential in terms of cosine and sine, we see that \cos'\varphi + {\rm i} \sin'\varphi = {\rm i} \cos\varphi - \sin\varphi. where the prime ' denotes the derivative as usual. Equating real and imaginary parts leads to \cos'\varphi = - \sin\varphi; \sin'\varphi = \cos\varphi.
Hyperbolic functions
From e^{\rm i \varphi} = \left( \cos\varphi + {\rm i} \sin\varphi\right), it immediately follows that \cos\varphi = \frac{e^{{\rm i} \varphi} + e^{-{\rm i} \varphi}}{2}. and \sin\varphi = \frac{e^{{\rm i} \varphi} - e^{-{\rm i} \varphi}}{2{\rm i}}. It is then tempting to generalise these functions for imaginary angles. These functions are known as hyperbolic functions. They are are called the hyperbolic cosine and hyperbolic sine functions and they are denoted as \sinh and \cosh: \cosh(x) = \frac{e^x + e^{-x}}{2}; \sinh(x) = \frac{e^x - e^{-x}}{2}. From these definitions the following properties can easily be derived.
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Derivatives \frac{d\cosh(x)}{dx} = \sinh(x); \frac{d\sinh(x)}{dx} = \cosh(x).
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\cosh^2(x) - \sinh^2(x) = 1.
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‘Double angle’ formulas: \cosh(2x) = \cosh^2(x) + \sinh^2(x); \sinh(2x) = 2\cosh(x) \sinh(x).
It may seem that these function are rather exotic; however they occur in everyday life: the shapes of power lines and of soap films can be described by hyperbolic cosines and sines!
Finally, the hyperbolic tangent is defined as \tanh(x) = \frac{\sinh(x)}{\cosh(x)}. Its derivative is given as \tanh'(x) = 1 + \frac{\sinh^2 x}{\cosh^2 (x)} = - \frac{1}{\cosh^2(x)}.
Summary
TODO: Here was the beginning of a mdframed env
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A complex number z has the form z = a + b \rm i where a and b are both real, and \rm i^2 = 1. The real number a is called the real part of z and b is the imaginary part. Two complex numbers can be added, subtracted and multiplied straightforwardly. The quotient of two complex numbers z_1=a_1 + \rm i b_1 and z_2=a_2 + \rm i b_2 is \frac{z_1}{z_2} = \frac{z_1 z_2^*}{z_2 z_2^*} = \frac{(a_1 a_2 + b_1 b_2) + (-a_1 b_2 + a_2 b_1) {{\rm i}}}{a_2^2 + b_2^2}.
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Complex numbers can also be characterised by their norm |z|=\sqrt{a^2+b^2} and argument \phi. These coordinates correspond to polar coordinates in the complex plane. For a complex number z = a + b {\rm i}, its real and imaginary parts can be expressed as a = |z| \cos\varphi b = |z| \sin\varphi The inverse equations are |z| = \sqrt{a^2 + b^2} \varphi = \begin{cases} \arctan(b/a) &{\rm for ~} a>0; \\ \pi + \arctan(b/a) & {\rm for ~} a<0 {\rm ~ and ~} b>0;\\ -\pi + \arctan(b/a) &{\rm ~ for ~} a<0 {\rm ~ and ~} b<0. \end{cases}
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The derivative of a complex function f(z) is defined as \frac{df(z)}{dz} = \lim_{dz \rightarrow 0} \frac{f(z+dz) - f(z)}{dz}. The right hand side depends on the direction of dz in the complex plane. The function is said to be differentiable if the right hand side gives a unique value. This is the case when the real part u and imaginary part v of the function f satisfy the Cauchy–Riemann equations: \frac{\partial u}{\partial x} = \frac{\partial v}{\partial y} {~~~ \rm and ~~~ } \frac{\partial v}{\partial x} = - \frac{\partial u}{\partial y}. A function which is differentiable, is differentiable infinitely often. Such a function can be expanded as a Taylor series: f(z) = \sum_{j=0}^\infty \frac{1}{j!} f^{(j)} (a) (z-a)^j, where f^{(j)} (a) is the j-th derivative of the function f in a.
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Examples of differentiable functions:
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The complex exponential: e^z = e^{x} \left( \cos y + \rm i \sin y\right).
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The complex logarithm: \log(z) = \log|z| +\rm i \arg(z).
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The complex sine and cosine functions are defined as \sin(z) = \frac{e^{\rm i z} - e^{-\rm i z}}{2\rm i}; \phantom{xxx} \cos(z) = \frac{e^{\rm i z} + e^{-\rm i z}}{2}. The complex tangent is defined as \tan(z) = \sin(z)/\cos(z).
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Hyperbolic functions are defined as: \sinh(z) = \frac{e^{z} - e^{-z}}{2}; \phantom{xxx} \cosh(z) = \frac{e^{z} + e^{-z}}{2}.
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TODO: Here was the end of a mdframed env
Problems
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[[]{}D1[]]{} Given a=1+2\rm i and b=4-2\rm i, draw in the complex plane the numbers a+b, a-b, ab, a/b, e^a and \ln(a).
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[[]{}D1[]]{} Evaluate (i) \rm i^{1/4}, (ii) \left(-1+\rm i \sqrt{3}\right)^{1/2}, (iii) \exp(2\rm i^3).
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[[]{}D1[]]{} Evaluate \left| \frac{a+b\rm i}{a-b\rm i} \right| for real a and b.
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[[]{}D1[]]{} Show that \cos x = \cosh(\rm i x) and \cos(\rm i x) = \cosh x. Derive similar relations for \sinh and \sin.
Show that \cosh^2 x - \sinh^2 x = 1.
Also show that \cosh x is a solution to the differential equation y'' = \sqrt{1 + y'^2}.
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[[]{}D1[]]{} Calculate the real part of \int_0^\infty e^{-\gamma t +\rm i \omega t} dt (\omega and \gamma are real; \gamma is positive).
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[[]{}D1[]]{} Is the function f(z) = |z| = \sqrt{x^2 + y^2} analytic on the complex plane or not? If not, where is the function not analytic?
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[[]{}D1[]]{} Show that the Cauchy-Riemann equations imply that the real and imaginary part of a differentiable complex function both represent solutions to the Laplace equation, i.e. \frac{\partial^2 u}{\partial x^2} + \frac{\partial^2 u}{\partial y^2} = 0, for the real part u of the function, and similarly for the imaginary part v.
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[[]{}D3[]]{} Show that the set of points z obeying | z - \rm i a| = \lambda |z + \rm i a|, with a and \lambda real, form a circle with radius 2|\lambda/(1-\lambda^2) a| centered on the point \rm i a (1+\lambda^2)/(1-\lambda^2), provided \lambda \neq 1. What is the set like for \lambda = 1?
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[[]{}D2[]]{} In two dimensions, the Coulomb potential is proportional to \log |r|. Viewing the 2D space as a complex plane, this is \log |z|. Consider a system consisting of charges q_i placed at ‘positions’ z_i, all close to the origin. The point z is however located far away from the origin. Use the Taylor expansions of the terms \ln(z-z_i) at z with respect to the z_i to write the potential at z as U(z) = \sum_i q_i\ln(z-z_i) = a_0 \ln z - \sum_{k=1}^M \frac{a_k}{z^k} + {\mathcal O} \left( \frac{R}{z} \right)^{M+1} where a_0 = \sum_i q_i {\rm ~~ and ~~} a_k = \sum_{i=1}^{N_c} \frac{q_i z_i^k}{k}, k\geq 1. (Note that, for the potential, the real part of the right hand side is to be taken.)
This is called a multipole expansion. A similar expansion exist in three dimensions.
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[[]{}D2[]]{} In this problem, we consider the function 1/z close to the real axis: z=x-\rm i \epsilon where \epsilon is small. Show that the imaginary part of this function approaches \pi times the Dirac delta-function \delta(x) for \epsilon\rightarrow 0. Do this by showing that the integral over that function is \pi and that, when multiplied by a function f(x), the result only depends on f(0).