Karatsuba multiplication implementation question

In summary, the Karatsuba multiplication algorithm is a faster-than-O(n2) multiplication method of two large numbers. The algorithm involves recursive calls to calculate three partial results, z0, z1, and z2. The final result is obtained by adding these partial results with an offset of 5 digits. A slight space optimization can be done by calculating z0 and z2 directly into the result, removing the need for one temporary object. However, the algorithm may still work correctly even without the "add zero with carry" operations, which was initially thought to be essential. This was disproved by finding a counterexample where the result is incorrect without the additional operations.
  • #1
Warp
128
13
The Karatsuba multiplication algorithm is a faster-than-O(n2) (approximately O(n1.58)) multiplication method of two large numbers. I have been working on a small project where I have implemented it (among other things), and I noticed something curious about it that I'm uncertain how to prove or disprove.

In order to present the question, I first need to explain how the algorithm works (because the question pertains to one particular part of it).

Let's represent the "digits" of a number (in whatever base we are using) with capital letters. Let's assume that we want to multiply, for example, two 10-digit numbers, let's call them AAAAABBBBB and CCCCCDDDDD. In order to calculate the result, we first calculate these partial results:

z0 = DDDDD * BBBBB = EEEEEEEEEE
z2 = CCCCC * AAAAA = GGGGGGGGGG
z1 = (AAAAA+BBBBB) * (CCCCC+DDDDD) - z2 - z0 = FFFFFFFFFFFF

(Those three multiplications can be calculated by calling this algorithm recursively, which is the idea with it, and where the time saving comes from, as the normal four multiplications that would be required with a normal long multiplication algorithm are reduced to three.)

Note that z1 above is 2 digits longer than the others (this is always so regardless of the sizes of the input values). This is because the result of the two additions are 6 digits long (the most-significant digit may be 1) and thus the result of the multiplication is 12 digits long. (I believe, although I'm not certain, those two most-significant digits of the result are always zero after the two subtractions. However, I'm leaving them there because they are relevant to my actual question.)

In order to get the final result we have to add those three partial results, using an offset of 5 digits as needed (ie. in practice "multiplied by the base to the power of 5). This can be most clearly visualized like this:

Code:
            AAAAABBBBB
          * CCCCCDDDDD
  --------------------
            EEEEEEEEEE = z0
+    FFFFFFFFFFFF      = z1
+ GGGGGGGGGG           = z2
  --------------------
  RRRRRRRRRRRRRRRRRRRR = result

From a programming implementation point of view a slight space optimization can be done by noting that z0 and z2 do not overlap in the result. This means that they can be calculated directly into the result (thus removing the need for one temporary object, which may be quite large, to hold the value of z2). In other words, the operation can be done like this:

Code:
            AAAAABBBBB
          * CCCCCDDDDD
  --------------------
  GGGGGGGGGGEEEEEEEEEE = (z2|z0)
+ 000FFFFFFFFFFFF      = z1
  --------------------
  RRRRRRRRRRRRRRRRRRRR = result

The zeros at the beginning of that z1 summand are there to indicate that, from a programmatical implementation point of view, when z1 is added to the result in this manner, after adding its most-significant digit, if there is any carry left, it needs to be added to the result (in practice with an "add zero with carry" operation). In other words, as long as there is a carry, it needs to be added to the next digit of the result, and so on, until there is no carry left.

Except, and this is where my question comes in... if I leave out those "add zero with carry" operations completely, the result still seems to be correct. In other words, there never seems to be a carry left after adding the last (ie. most-significant) digit of z1.

Note that since z1 is two digits longer than necessary, it's in practice already doing two "add zero with carry" operations. And, in fact, if I leave the most-significant digit of z1 out, it still gives the correct result. (If I leave the two most-significant digits out, then it sometimes gives an incorrect result, so at least one carry needs to be added.)

I have tested with tens of millions of random input values to multiply, and it always gives the correct result, without those extra "add zero with carry" operations. However, I have the hunch that this is just coincidence. I have the hunch that it's simply the case that the situations where more than one "add zero with carry" is needed are extraordinarily rare, but they exist, and that if you don't do it, then you would get an incorrect result in those cases.

I have tried to come up with input values that would cause an erroneous result, but I can't come up with anything. But it may just be my lack of figuring out how this works precisely.

So I would like to present a conjecture: When z1 above (of a size that's two digits larger than z0 and z2) is added to the result, no more carries are left, with any input values.

I don't know how to prove that. Disproving the conjecture would be relatively simple, though: Two values that multiplied in this manner give the wrong result, if those "add zero with carry" operations are not done. (I would be very grateful if someone could provide me with such numbers. Even better, a pattern of such numbers, so that I can generate them for any sizes. This would be a great addition to my testing code.)
 
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  • #2
I must say I'm a bit disappointed by the lack of responses. Anyway, to answer my own question, it appears that my conjecture is indeed false. For example, if the two input values are of the form (in base-10): 1000...0001 and 9999...9999, then the result will be incorrect if the "add zeros with carry" step is not done. Which disproves my conjecture.
 
  • #3
Warp said:
Let's assume that we want to multiply, for example, two 10-digit numbers, let's call them
AAAAABBBBB and CCCCCDDDDD. In order to calculate the result, we first calculate these partial results:

z0 = DDDDD * BBBBB = EEEEEEEEEE
z2 = CCCCC * AAAAA = GGGGGGGGGG
z1 = (AAAAA+BBBBB) * (CCCCC+DDDDD) - z2 - z0 = FFFFFFFFFFFF

<snip>

Note that z1 above is 2 digits longer than the others (this is always so regardless of the sizes of the input values). This is because the result of the two additions are 6 digits long (the most-significant digit may be 1) and thus the result of the multiplication is 12 digits long.
I'm not following your conclusion about ##z_1## being two digits longer. In general, if you multiply two n-digit numbers, the product will require up to 2n digits. For example, 999 x 999 = 998,001. Of course, smaller 3-digit numbers might not require a full 6 digits.
 
  • #4
Mark44 said:
I'm not following your conclusion about ##z_1## being two digits longer. In general, if you multiply two n-digit numbers, the product will require up to 2n digits. For example, 999 x 999 = 998,001. Of course, smaller 3-digit numbers might not require a full 6 digits.
The sum of the two halves may give a result that's one digit larger than either of the halves (that extra digit being always 1, if that happens). So for example if the input values are 10 digits long, and therefore the two halves are 5 digits long each, their sum may be 6 digits long. If that happens, then the multiplication would be of two 6-digit numbers, and the result therefore a 12-digit one.

(I suppose that from an implementation perspective one could check if the sums result in a 6-digit or 5-digit result, and perform the multiplication at that size.)

I don't know if after subtracting z2 and z0 from the result the two highest digits always become zero (making the final value of z1 be the same size as the input values, rather than two digits longer), though. Might be an interesting thing to prove.
 

1. What is Karatsuba multiplication and how does it differ from traditional multiplication?

Karatsuba multiplication is an algorithm for multiplying two numbers using a divide-and-conquer approach. It differs from traditional multiplication in that it breaks down the numbers into smaller parts and uses fewer multiplication operations.

2. How does the Karatsuba algorithm work?

The Karatsuba algorithm works by breaking down the two numbers to be multiplied into smaller parts, typically of equal length. It then uses these smaller parts to calculate the product using a series of addition, subtraction, and multiplication operations.

3. What are the advantages of using Karatsuba multiplication?

One of the main advantages of Karatsuba multiplication is that it reduces the number of multiplication operations required compared to traditional multiplication. This can result in faster computation times, especially for larger numbers.

4. Are there any limitations to using Karatsuba multiplication?

One limitation of Karatsuba multiplication is that it is only efficient for multiplying numbers with a large number of digits. For smaller numbers, traditional multiplication may be faster. Additionally, the implementation of Karatsuba multiplication can be complex and may require more memory.

5. How can I implement Karatsuba multiplication in my own code?

There are many resources available online that provide step-by-step instructions for implementing Karatsuba multiplication in different programming languages. It is important to carefully follow the algorithm and consider any limitations or edge cases that may arise. Additionally, there are also libraries and built-in functions in some programming languages that already implement Karatsuba multiplication, so it may not be necessary to create your own implementation.

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