Square roots and logarithms without a calculator (Part 6)

I’m in the middle of a series of posts concerning the elementary operation of computing a square root. This is such an elementary operation because nearly every calculator has a \sqrt{~~} button, and so students today are accustomed to quickly getting an answer without giving much thought to (1) what the answer means or (2) what magic the calculator uses to find square roots. I like to show my future secondary teachers a brief history on this topic… partially to deepen their knowledge about what they likely think is a simple concept, but also to give them a little appreciation for their elders.

In Parts 3-5 of this series, I discussed how log tables were used in previous generations to compute logarithms and antilogarithms.

Today’s topic — log tables — not only applies to square roots but also multiplication, division, and raising numbers to any exponent (not just to the 1/2 power). After showing how log tables were used in the past, I’ll conclude with some thoughts about its effectiveness for teaching students logarithms for the first time.

To begin, let’s again go back to a time before the advent of pocket calculators… say, the 1880s.

Aside from a love of the movies of both Jimmy Stewart and John Wayne, I chose the 1880s on purpose. By the end of that decade, James Buchanan Eads had built a bridge over the Mississippi River and had designed a jetty system that allowed year-round navigation on the Mississippi River. Construction had begun on the Panama Canal. In New York, the Brooklyn Bridge (then the longest suspension bridge in the world) was open for business. And the newly dedicated Statue of Liberty was welcoming American immigrants to Ellis Island.

And these feats of engineering were accomplished without the use of pocket calculators.

Here’s a perfectly respectable way that someone in the 1880s could have computed \sqrt{4213} to reasonably high precision. Let’s write

x = \sqrt{4213}.

Take the base-10 logarithm of both sides.

\log_{10} x = \log_{10} \sqrt{4213} = \log_{10} (4213)^{1/2} = \displaystyle \frac{1}{2} \log_{10} 4213.

Then log tables can be used to compute \log_{10} 4213.

logtables1 logtables2

Step 1. In our case, we’re trying to find \log_{10} 4213. We know that \log_{10} 1000 = 3 and \log_{10} 10,000 = 4, so the answer must be between 3 and 4. More precisely,

\log_{10} 4213 = \log_{10} (1000 \times 4.123) = \log_{10} 1000 + \log_{10} 4.213 = 3 + \log_{10} 4.213.

To find \log_{10} 4.213, we see from the table that

\log_{10} 4.21 \approx 0.6243 and \log_{10} 4.22 = 0.6253

So, to estimate \log_{10} 4.213, we will employ linear interpolation. That’s a fancy way of saying “Find the line connecting (4.21,0.6243) and (4.22,0.6253), and find the point on the line whose x-coordinate is 4.213. Finding this line is a straightforward exercise in the point-slope form of a line:

m = \displaystyle \frac{0.6253-0.6243}{4.22-4.21} = 0.1

y - 0.6243 = 0.1 (x - 4.21)

y = 0.6243 + 0.1 (4.213-4.21)

y = 0.6243 + 0.1(0.003) = 0.6246

So we estimate \log_{10} 4.213 \approx 0.6246. Thus, so far in the calculation, we have

\log_{10} \sqrt{4213} \approx \displaystyle \frac{1}{2} (3 + 0.6246) = 1.8123

Step 2. We then take the antilogarithm of both sides. The term antilogarithm isn’t used much anymore, but the principle is still taught in schools: take 10 to the power of both the left- and right-hand sides. We obtain

\sqrt{4213} \approx 10^{1.8123} = 10^{1 + 0.8123} = 10^1 \times 10^{0.8123}

The first part of the right-hand side is easy: 10^1 = 10. For the second-part, we use the log table again, but in reverse. We try to find the numbers that are closest to 0.8123 in the body of the table. In our case, we find that

\log_{10} 6.49 = 0.8122 and \log_{10} 6.50 = 0.8129.

Once again, we use linear interpolation to find the line connecting (6.49,0.8122) and (6.50,0.8129), except this time the y-coordinate of 0.8123 is known and the x-coordinate is unknown.

m = \displaystyle \frac{0.8129-0.8122}{6.50-6.49} = 0.07

y - 0.8122 = 0.07 (x - 6.49)

0.8123 - 0.8122 = 0.07 (x - 6.49)

x = 6.49 + \displaystyle \frac{0.0001}{0.07} = 6.4914\dots

Since the table is only accurate to four significant digits, we estimate that 10^{0.8123} \approx 6.491. Therefore,

\sqrt{4213} \approx 10^1 \times 10^{0.8123} = 10 \times 6.491 = 64.91

By way of comparison, the answer is \sqrt{4213} \approx 64.9076\dots \approx 64.91, rounding at the hundredths digit. Not bad, for a generation born before the advent of calculators.

With a little practice, one can do the above calculations with relative ease. Also, many log tables of the past had a column called “proportional parts” that essentially replaced the step of linear interpolation, thus speeding the use of the table considerably.

green line

Log tables can be used for calculations more complex than finding a square root. For example, suppose I need to calculate

x = \displaystyle \frac{(34.5)^3}{(912)^{2/5}}

Using the log table, and without using a calculator, I find that

\log_{10} x = 3 \log_{10} 34.5 - \displaystyle \frac{2}{5} \log_{10} 912

\log_{10} x = 3(1.5378) - \displaystyle \frac{2}{5} (2.9600)

\log_{10} x = 3.4294

x = 10^3 \cdot 10^{0.4294} = 1000 \cdot 2.688 = 2688

That’s the correct answer to four significant digits. Using a calculator, we find the answer is 2688.186\dots

Leave a comment

5 Comments

  1. Richard Schwartz, PE

     /  July 5, 2017

    I got sqrt(4213) by noting that 65 squared is 4225, that is 12 too high. So I adjusted the initial guess by 12/(2*65) = 0.09023. This resulted in an improved estimate of 64.9077. Sorry about the error in the last digit, but I beat the 4 place log table. On the other hand, had I used the table to get my initial guess, the adjusted guess might be good to ten significant figures. You were wise to leave out the proportional parts columns from the table you displayed. It is garbage that can contribute significant error to the end result… especially at the low end of the table. A much better interpolation is to use Log(x+d) = Log(x) + 0.4343*d/(x+d/2), where Log(x) is the nearest tabulated value, and d is the value of the remaining digits (d might be negative).

    Reply
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