Thoughts on Infinity (Part 2a)

Last summer, Math With Bad Drawings had a nice series on the notion of infinity that I recommend highly. This topic is a perennial struggle for math majors to grasp, and I like the approach that the author uses to sell this difficult notion.

Here’s Part 2 on the harmonic series, which is extremely well-written and which I recommend highly. Here’s a brief summary: the infinite harmonic series

\displaystyle \sum_{n=1}^\infty \frac{1}{n}

diverges. This is a perennial head-scratcher for students, as the terms become smaller and smaller yet the infinite series diverges.

To show this, notice that

\displaystyle \frac{1}{3} + \frac{1}{4} > \displaystyle \frac{1}{4} + \frac{1}{4} = \displaystyle \frac{1}{2},

\displaystyle \frac{1}{5} + \frac{1}{6} + \frac{1}{7} + \frac{1}{8} > \displaystyle \frac{1}{8} + \frac{1}{8} + \frac{1}{8} + \frac{1}{8} = \displaystyle \frac{1}{2},

and so on. Therefore,

\displaystyle 1 + \frac{1}{2} + \frac{1}{3} + \frac{1}{4} > \displaystyle 1 + \frac{1}{2} + \frac{1}{2} = 2,

\displaystyle 1 + \frac{1}{2} + \frac{1}{3} + \frac{1}{4} +\frac{1}{5} + \frac{1}{6} + \frac{1}{7} + \frac{1}{8} > \displaystyle 1 + \frac{1}{2} + \frac{1}{2} + \frac{1}{2} = \displaystyle \frac{5}{2},

and, in general,

\displaystyle 1 + \frac{1}{2} + \frac{1}{3} + \dots + \frac{1}{2^n} > \displaystyle 1+\frac{n}{2}.

Since \displaystyle \lim_{n \to \infty} \left(1 + \frac{n}{2} \right) = \infty, we can conclude that the harmonic series diverges.

However, here’s an amazing fact which I hadn’t known before the Math With Bad Drawings post: if you eliminate from the harmonic series all of the fractions whose denominator contains a 9, then the new series converges!

I’ll discuss the proof of this fact in tomorrow’s post. Until then, here’s a copy of the comic used in the Math With Bad Drawings post.

Source: http://smbc-comics.com/index.php?id=3777

Inverse Functions: Logarithms and Complex Numbers (Part 30)

Ordinarily, there are no great difficulties with logarithms as we’ve seen with the inverse trigonometric functions. That’s because the graph of y = a^x satisfies the horizontal line test for any 0 < a < 1 or a > 1. For example,

e^x = 5 \Longrightarrow x = \ln 5,

and we don’t have to worry about “other” solutions.

However, this goes out the window if we consider logarithms with complex numbers. Recall that the trigonometric form of a complex number z = a+bi is

z = r(\cos \theta + i \sin \theta) = r e^{i \theta}

where r = |z| = \sqrt{a^2 + b^2} and \tan \theta = b/a, with \theta in the appropriate quadrant. This is analogous to converting from rectangular coordinates to polar coordinates.

Over the past few posts, we developed the following theorem for computing e^z in the case that z is a complex number.

Definition. Let z = r e^{i \theta} be a complex number so that -\pi < \theta \le \theta. Then we define

\log z = \ln r + i \theta.

Of course, this looks like what the definition ought to be if one formally applies the Laws of Logarithms to r e^{i \theta}. However, this complex logarithm doesn’t always work the way you’d think it work. For example,

\log \left(e^{2 \pi i} \right) = \log (\cos 2\pi + i \sin 2\pi) = \log 1 = \ln 1 = 0 \ne 2\pi i.

This is analogous to another situation when an inverse function is defined using a restricted domain, like

\sqrt{ (-3)^2 } = \sqrt{9} = 3 \ne -3

or

\sin^{-1} (\sin \pi) = \sin^{-1} 0 = 0 \ne \pi.

The Laws of Logarithms also may not work when nonpositive numbers are used. For example,

\log \left[ (-1) \cdot (-1) \right] = \log 1 = 0,

but

\log(-1) + \log(-1) = \log \left( e^{\pi i} \right) + \log \left( e^{\pi i} \right) = \pi i + \pi i = 2\pi i.

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This material appeared in my previous series concerning calculators and complex numbers: https://meangreenmath.com/2014/07/09/calculators-and-complex-numbers-part-21/

 

 

 

Calculators and complex numbers (Part 24)

In this series of posts, I explore properties of complex numbers that explain some surprising answers to exponential and logarithmic problems using a calculator (see video at the bottom of this post). These posts form the basis for a sequence of lectures given to my future secondary teachers.

To begin, we recall that the trigonometric form of a complex number z = a+bi is

z = r(\cos \theta + i \sin \theta) = r e^{i \theta}

where r = |z| = \sqrt{a^2 + b^2} and \tan \theta = b/a, with \theta in the appropriate quadrant. As noted before, this is analogous to converting from rectangular coordinates to polar coordinates.

Theorem. If z = x + i y, where x and y are real numbers, then

e^z = e^x (\cos y + i \sin y)

Definition. Let z = r e^{i \theta} be a complex number so that -\pi < \theta \le \theta. Then we define

\log z = \ln r + i \theta.

Definition. Let z and w be complex numbers so that z \ne 0. Then we define

z^w = e^{w \log z}

Technical point: for the latter two definitions, these are the principal values of the functions. In complex analysis, these are usually considered multiply-defined functions. But I’m not going to worry about this technicality here and will only consider the principal values.

This is the last post in this series, where I state some generalizations of the Laws of Exponents for complex numbers.

In yesterday’s post, we saw that z^{w_1} z^{w_2} = z^{w_1 + w_2} as long as z \ne 0. This prevents something like 0^4 \cdot 0^{-3} = 0^1, since 0^{-3} is undefined.

Theorem. Let z \in \mathbb{C} \setminus \{ 0 \}, w \in \mathbb{C}, and n \in \mathbb{Z}. Then (z^w)^n = z^{wn}.

As we saw in a previous post, the conclusion could be incorrect outside of the above hypothesis, as \displaystyle \left[ (-1)^3 \right]^{1/2} \ne (-1)^{3/2}.

Theorem. Let u \in \mathbb{R} and z \in \mathbb{C}. Then (e^u)^z = e^{uz}.

Theorem. Let x, y > 0 be real numbers and z \in \mathbb{C}. Then x^z y^z = (xy)^z.

Again, the conclusion of the above theorem could be incorrect outside of these hypothesis, as (-2)^{1/2} (-3)^{1/2} \ne \left[ (-2) \cdot (-3) \right]^{1/2}.

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For completeness, here’s the movie that I use to engage my students when I begin this sequence of lectures.

 

 

Calculators and complex numbers (Part 23)

In this series of posts, I explore properties of complex numbers that explain some surprising answers to exponential and logarithmic problems using a calculator (see video at the bottom of this post). These posts form the basis for a sequence of lectures given to my future secondary teachers.

To begin, we recall that the trigonometric form of a complex number z = a+bi is

z = r(\cos \theta + i \sin \theta) = r e^{i \theta}

where r = |z| = \sqrt{a^2 + b^2} and \tan \theta = b/a, with \theta in the appropriate quadrant. As noted before, this is analogous to converting from rectangular coordinates to polar coordinates.

Theorem. If z = x + i y, where x and y are real numbers, then

e^z = e^x (\cos y + i \sin y)

Definition. Let z = r e^{i \theta} be a complex number so that -\pi < \theta \le \theta. Then we define

\log z = \ln r + i \theta.

Definition. Let z and w be complex numbers so that z \ne 0. Then we define

z^w = e^{w \log z}

Technical point: for the latter two definitions, these are the principal values of the functions. In complex analysis, these are usually considered multiply-defined functions. But I’m not going to worry about this technicality here and will only consider the principal values.

In the remaining posts in this series, I want to explore which properties of exponential functions remain true when complex numbers are used.

To begin, if w is a real rational number, then there is an alternative definition of z^w that matches De Moivre’s Theorem. Happily, the two definitions agree. Suppose that z = r e^{i \theta} with -\pi < \theta \le \pi. Then

z^w = e^{w \log z}

= e^{w [\ln r + i \theta]}

= e^{w \ln r + i w \theta}

= e^{w \ln r} e^{i w \theta}

= r^w (\cos w\theta + i \sin \theta)

Next, one of the Laws of Exponents remains true even for complex numbers:

z^{w_1} z^{w_2} = e^{w_1 \log z} e^{w_2 \log z}

= e^{w_1 \log z + w_2 \log z}

= e^{(w_1 + w_2) \log z}

= z^{w_1 + w_2}.

However, in previous posts, we’ve seen that the rules (x^y)^z = x^(yz) and x^z y^z = (xy)^z may not be true if nonpositive bases, let alone complex bases, are used.

We can also derive the usual rules z^0 = 1 and z^{-w} = \displaystyle \frac{1}{z^w}. First,

z^0 = e^{0 \log z} = e^0 = 1.

Next, we think like an MIT freshman and use the above Law of Exponents to observe that

z^w z^{-w} = z^{w-w} = z^0 = 1.

Dividing, we see that z^{-w} = \displaystyle \frac{1}{z^w}.

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For completeness, here’s the movie that I use to engage my students when I begin this sequence of lectures.

 

 

Calculators and complex numbers (Part 22)

In this series of posts, I explore properties of complex numbers that explain some surprising answers to exponential and logarithmic problems using a calculator (see video at the bottom of this post). These posts form the basis for a sequence of lectures given to my future secondary teachers.

To begin, we recall that the trigonometric form of a complex number z = a+bi is

z = r(\cos \theta + i \sin \theta) = r e^{i \theta}

where r = |z| = \sqrt{a^2 + b^2} and \tan \theta = b/a, with \theta in the appropriate quadrant. As noted before, this is analogous to converting from rectangular coordinates to polar coordinates.

Theorem. If z = x + i y, where x and y are real numbers, then

e^z = e^x (\cos y + i \sin y)

Definition. Let z = r e^{i \theta} be a complex number so that -\pi < \theta \le \theta. Then we define

\log z = \ln r + i \theta.

At long last, we are now in position to explain the last surprising results from the calculator video below.

Definition. Suppose that z and w are complex numbers so that z \ne 0. Then we define

z^w = e^{w \log z}

Naturally, this definition makes sense if z and w are real numbers.

For example, let’s consider the computation of i^i. For the base of i, we note that

\log i = \log e^{\pi i/ 2} = \displaystyle \frac{\pi i}{2}.

Therefore,

i^i = e^{i \log i} = e^{i \pi i/2} = e^{-\pi/2},

which is (surprisingly) a real number.

As a second example, let’s compute (-8)^i. To begin,

\log(-8) = \log \left( 8 e^{\pi i} \right) = \ln 8 + \pi i.

Therefore,

(-8)^i = e^{i \log(-8)}

= e^{i (\ln 8 + \pi i)}

= e^{-\pi + i \ln 8}

= e^{-\pi} (\cos [\ln 8] + i \sin [ \ln 8 ] )

= e^{-\pi} \cos (\ln 8) + i e^{-\pi} \sin (\ln 8)

In other words, a problem like this is a Precalculus teacher’s dream come true, as it contains e, \ln, \pi, \cos, \sin, and i in a single problem.

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For completeness, here’s the movie that I use to engage my students when I begin this sequence of lectures.

 

 

Calculators and complex numbers (Part 21)

In this series of posts, I explore properties of complex numbers that explain some surprising answers to exponential and logarithmic problems using a calculator (see video at the bottom of this post). These posts form the basis for a sequence of lectures given to my future secondary teachers.

To begin, we recall that the trigonometric form of a complex number z = a+bi is

z = r(\cos \theta + i \sin \theta) = r e^{i \theta}

where r = |z| = \sqrt{a^2 + b^2} and \tan \theta = b/a, with \theta in the appropriate quadrant. As noted before, this is analogous to converting from rectangular coordinates to polar coordinates.

Over the past few posts, we developed the following theorem for computing e^z in the case that z is a complex number.

Definition. Let z = r e^{i \theta} be a complex number so that -\pi < \theta \le \theta. Then we define

\log z = \ln r + i \theta.

Of course, this looks like what the definition ought to be if one formally applies the Laws of Logarithms to r e^{i \theta}. However, this complex logarithm doesn’t always work the way you’d think it work. For example,

\log \left(e^{2 \pi i} \right) = \log (\cos 2\pi + i \sin 2\pi) = \log 1 = \ln 1 = 0 \ne 2\pi i.

This is analogous to another situation when an inverse function is defined using a restricted domain, like

\sqrt{ (-3)^2 } = \sqrt{9} = 3 \ne -3

or

\sin^{-1} (\sin \pi) = \sin^{-1} 0 = 0 \ne \pi.

The Laws of Logarithms also may not work when nonpositive numbers are used. For example,

\log \left[ (-1) \cdot (-1) \right] = \log 1 = 0,

but

\log(-1) + \log(-1) = \log \left( e^{\pi i} \right) + \log \left( e^{\pi i} \right) = \pi i + \pi i = 2\pi i.

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For completeness, here’s the movie that I use to engage my students when I begin this sequence of lectures.

 

 

Calculators and complex numbers (Part 20)

In this series of posts, I explore properties of complex numbers that explain some surprising answers to exponential and logarithmic problems using a calculator (see video at the bottom of this post). These posts form the basis for a sequence of lectures given to my future secondary teachers.

To begin, we recall that the trigonometric form of a complex number z = a+bi is

z = r(\cos \theta + i \sin \theta) = r e^{i \theta}

where r = |z| = \sqrt{a^2 + b^2} and \tan \theta = b/a, with \theta in the appropriate quadrant. As noted before, this is analogous to converting from rectangular coordinates to polar coordinates.

Over the past few posts, we developed the following theorem for computing e^z in the case that z is a complex number.

Theorem. If z = x + i y, where x and y are real numbers, then

e^z = e^x (\cos y + i \sin y)

As a consequence, there are infinitely many complex solutions of the equation

e^z = -2 - 2i,

namely, z = \ln 2\sqrt{2} - \displaystyle \frac{3\pi}{4} + 2 \pi n i.

Choosing the solution that has an imaginary part in the interval (-\pi,\pi] leads to the definition of the complex logarithm.

Definition. Let z = r e^{i \theta} be a complex number so that -\pi < \theta \le \theta. Then we define

\log z = \ln r + i \theta.

Of course, this looks like what the definition ought to be if one formally applies the Laws of Logarithms to r e^{i \theta}. So, for example,

\log (-2-2i) = \ln 2\sqrt{2} - \displaystyle \frac{3\pi}{4}

A technicality: this is the principal value of the complex logarithm. In complex analysis, this is technically thought of as a multiply-defined function.

The complex version of the natural logarithm function matches the ordinary definition when applied to real numbers. For example,

\log 6 = \log \left( 6 e^{0i} \right) = \ln 6 + 0 i = \ln 6.

A couple of observations. In high school, the symbol \log is usually dedicated to base 10. However, in higher-level mathematics courses, \log always means natural logarithm. That’s because, for the purposes of abstract mathematics, base-10 logarithms are practically useless. They are helpful for us people since our number system uses base 10; it’s easy for me to estimate \log_{10} 9000, but \ln 9000 requires a little more thought. But nearly all major theorems that involve logarithms specifically employ natural logarithms. Indeed, when I first become a professor, I had to remind myself that my students used \ln for natural logarithms and not \log. Still, I write \log_{10} for base-10 logarithms and not \log as a silent acknowledgment of the use of the symbol in higher-level courses.

This use of the logarithm explains the final results of the calculator in the video below. When \ln(-5) is entered, it assumes that a real answer is expected, and so the calculatore returns an error message. On the other hand, when \ln(-5+0i) is entered, it assumes that the user wants the principal complex logarithm. Since -5+0i = 5 e^{i \pi}, the calculator correctly returns \ln 5 + \pi i as the answer. (Of course, the calculator still uses \ln and not \log to mean natural logarithm.)

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For completeness, here’s the movie that I use to engage my students when I begin this sequence of lectures.

 

 

Calculators and complex numbers (Part 19)

In this series of posts, I explore properties of complex numbers that explain some surprising answers to exponential and logarithmic problems using a calculator (see video at the bottom of this post). These posts form the basis for a sequence of lectures given to my future secondary teachers.

To begin, we recall that the trigonometric form of a complex number z = a+bi is

z = r(\cos \theta + i \sin \theta) = r e^{i \theta}

where r = |z| = \sqrt{a^2 + b^2} and \tan \theta = b/a, with \theta in the appropriate quadrant. As noted before, this is analogous to converting from rectangular coordinates to polar coordinates.

Over the past few posts, we developed the following theorem for computing e^z in the case that z is a complex number.

Theorem. If z = x + i y, where x and y are real numbers, then

e^z = e^x (\cos y + i \sin y)

Example. Find all complex numbers z so that e^z = 5.

Solution. If z = x + iy, then

e^x (\cos y + i \sin y) = 5 (\cos 0 + i \sin 0)

Matching parts, we see that e^x = 5 and that the angle y must be coterminal with 0 radians. In other words,

x = \ln 5 \qquad and \qquad y = 2\pi n for any integer n.

Therefore, there are infinitely many answers: z = \ln 5 + 2 \pi n i.

Notice that there’s nothing particularly special about the number 5. This could have been any nonzero number, including complex numbers, and there still would have been an infinite number of solutions. (This is completely analogous to solving a trigonometric equation like \sin \theta = 1, which similarly has an infinite number of solutions.) For example, the complex solutions of the equation

e^z = -2 - 2i

are z = \ln 2\sqrt{2} - \displaystyle \frac{3\pi}{4} + 2 \pi n i.

These observations lead to the following theorems, which I’ll state without proof.

Theorem. The range of the function f(z) = e^z is \mathbb{C} \setminus \{ 0 \}.

Theorem. e^z = e^w \Longleftrightarrow z = w + 2\pi n i.

Naturally, these conclusions are different than the normal case when z is assumed to be a real number.

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For completeness, here’s the movie that I use to engage my students when I begin this sequence of lectures.

 

 

Calculators and complex numbers (Part 18)

In this series of posts, I explore properties of complex numbers that explain some surprising answers to exponential and logarithmic problems using a calculator (see video at the bottom of this post). These posts form the basis for a sequence of lectures given to my future secondary teachers.

To begin, we recall that the trigonometric form of a complex number z = a+bi is

z = r(\cos \theta + i \sin \theta) = r e^{i \theta}

where r = |z| = \sqrt{a^2 + b^2} and \tan \theta = b/a, with \theta in the appropriate quadrant. As noted before, this is analogous to converting from rectangular coordinates to polar coordinates.

Definition. If z is a complex number, then we define

e^z = \displaystyle \sum_{n=0}^{\infty} \frac{z^n}{n!}

This of course matches the Taylor expansion of e^x for real numbers x.

In the last few posts, we proved the following theorem.

Theorem. If z and w are complex numbers, then $e^z e^w = e^{z+w}$.

This theorem allows us to compute e^z without directly plugging into the above infinite series.

Theorem. If z = x + i y, where x and y are real numbers, then

e^z = e^x (\cos y + i \sin y)

Proof. With the machinery that’s been developed over the past few posts, this one is actually a one-liner:

e^z = e^{x+iy} = e^x e^{iy} = e^x (\cos y + i \sin y).

For example,

e^{4+\pi i} = e^4 (\cos \pi + i \sin \pi) = -e^4

Notice that, with complex numbers, it’s perfectly possible to take e to a power and get a negative number. Obviously, this is impossible when using only real numbers.

Another example:

e^{-2+3i} = e^{-2} (\cos 3 +i \sin 3)

In this answer, we have to remember that the angle is 3 radians and not 3 degrees.

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For completeness, here’s the movie that I use to engage my students when I begin this sequence of lectures.

 

 

Calculators and complex numbers (Part 17)

In this series of posts, I explore properties of complex numbers that explain some surprising answers to exponential and logarithmic problems using a calculator (see video at the bottom of this post). These posts form the basis for a sequence of lectures given to my future secondary teachers.

Definition. If z is a complex number, then we define

e^z = \displaystyle \sum_{n=0}^{\infty} \frac{z^n}{n!}

Even though this isn’t the usual way of defining the exponential function for real numbers, the good news is that one Law of Exponents remains true. (At we saw in an earlier post in this series, we can’t always assume that the usual Laws of Exponents will remain true when we permit the use of complex numbers.)

Theorem. If z and w are complex numbers, then e^z e^w = e^{z+w}.

In yesterday’s post, I gave the idea behind the proof… group terms where the sums of the exponents of z and w are the same. Today, I will formally prove the theorem.

The proof of the theorem relies on a principle that doesn’t seem to be taught very often anymore… rearranging the terms of a double sum. In this case, the double sum is

e^z e^w = \displaystyle \sum_{n=0}^{\infty} \sum_{k=0}^{\infty} \frac{z^n}{n!} \frac{w^k}{k!}

This can be visualized in the picture below, where the x-axis represents the values of k and the y-axis represents the values of n. Each red dot symbolizes a term in the above double sum. For a fixed value of n, the values of k vary from 0 to \infty. In other words, we start with n =0 and add all the terms on the line n = 0 (i.e., the x-axis in the picture). Then we go up to n = 1 and then add all the terms on the next horizontal line. And so on.

double sum 1

I will rearrange the terms as follows: Let j = n+k. Then for a fixed value of j, the values of k will vary from 0 to j. This is perhaps best described in the picture below. The value of j, the sum of the coordinates, is constant along the diagonal lines below. The value of k then changes while moving along a diagonal line.

Even though this is a different way of adding the terms, we clearly see that all of the red circles will be hit regardless of which technique is used for adding the terms.

double sum 2

In this way, the double sum \displaystyle \sum_{n=0}^\infty \sum_{k=0}^\infty gets replaced by \displaystyle \sum_{j=0}^\infty \sum_{k=0}^j. Since n = j-k, we have

e^z e^w = \displaystyle \sum_{j=0}^{\infty} \sum_{k=0}^{j} \frac{z^{j-k}}{(j-k)!} \frac{w^k}{k!}

We now add a couple of j! terms to this expression for reasons that will become clear shortly:

e^z e^w = \displaystyle \sum_{j=0}^{\infty} \sum_{k=0}^{j} \frac{j!}{j!} \frac{1}{k! (j-k)!} w^k z^{j-k}

Since j! does not contain any ks, it can be pulled outside of the inner sum on k. We do this for the j! in the denominator:

= \displaystyle \sum_{j=0}^\infty \frac{1}{j!} \sum_{k=0}^j \frac{j!}{k!(j-k)!} w^k z^{j-k}

We recognize that \displaystyle \frac{j!}{k! (j-k)!} is a binomial coefficent:

= \displaystyle \sum_{j=0}^\infty \frac{1}{j!} \sum_{k=0}^j {j \choose k} w^k z^{j-k}

The inner sum is recognized as the formula for a binomial expansion:

= \displaystyle \sum_{j=0}^\infty \frac{1}{j!} (w+z)^j

Finally, we recognize this as the definition of e^{w+z}, using the dummy variable j instead of n. This proves that e^z e^w = e^{z+w} even if z and w are complex.

Without a doubt, this theorem was a lot of work. The good news is that, with this result, it will no longer be necessary to explicitly use the summation definition of e^z to actually compute e^z, as we’ll see tomorrow.

green line For completeness, here’s the movie that I use to engage my students when I begin this sequence of lectures.