Author: Martin Rubey A more thorough discussion of this package can be found at http://arxiv.org/abs/math.CO/0702086 fricas (1) -> )set output tex off fricas )set output algebra on If you find a bug please report in FriCAS BugTracker. Finally, please feel free to try this package in the SandBox! If you would like to use this program at your own computer, you need to install FriCAS. If you find the package useful, please let me know! Abstract
We present a software package that guesses formulas for sequences of, for
example, rational numbers or rational functions, given the first few terms.
Thereby we extend and complement Christian Krattenthaler's program This research was partially supported by the Austrian Science Foundation FWF, grant S8302-MAT. ## IntroductionFor some a brain-teaser, for others one step in proving their next theorem: given the first few terms of a sequence of, say, integers, what is the next term, what is the general formula? Of course, no unique solution exists, however, by Occam's razor, we will prefer a "simple" formula over a more "complicated" one. Some sequences are very easy to "guess", like
Others are a little harder, for example
Of course, at times we might want to guess a formula for a sequence of polynomials, too:
Fortunately, with the right tool, it is a matter of a moment to figure out
formulas for all of these sequences. In this article we describe a computer
program that encompasses well known techniques and adds new ideas that we hope
to be very effective. In particular, we generalize both Christian
Krattenthaler's program We would also like to mention The online encyclopedia of integer sequences of Neil Sloane. There, you can enter a sequence of integers and chances are good that the website will respond with one or more likely matches. However, the approach taken is quite different from ours: the encyclopedia keeps a list of currently sequences, entered more or less manually, and it compares the given sequence with each one of those. Besides that, it tries some simple transformations on the given sequence to find a match. Furthermore it tries some simple programs we will describe below to find a formula, although with a time limit, i.e., it gives up when too much time has elapsed. Thus, the two approaches complement each other: For example, there are sequences where no simple formula is likely to exist, and which can thus be found only in the encyclopedia. On the other hand, there are many sequences that have not yet found their way into the encyclopedia, but can be guessed in a few minutes by your computer. On the historical side, we remark that already in 1966 Paul W. Abrahams implemented a program to identify sequences given their first few terms... ## Safety and SpeedA formula for Sequence (1) is almost trivial to guess: it seems obvious that it is . More generally, if we believe that the sequence in question is generated by a polynomial, we can simply apply interpolation. However, how can we know that a polynomial formula is appropriate? The answer is quite simple: we use all but the last few terms of the sequence to derive the formula. After this, the last terms are compared with the values predicted by the polynomial. If they coincide, we can be confident that the guessed formula is correct. We call the number of terms used for checking the formula the safety of the result. Apart from safety, the main problem we have to solve is about efficiency. For example, maybe we would like to test whether the term of the sequence is given by a formula of the form
Thus, we need to find efficient algorithms that test for large classes of formulas. Obviously, such algorithms exist for interpolation and Pade approximation. For the present package, we implemented an efficient algorithm for a far reaching generalization of interpolation, proposed by Bernhard Beckermann and George Labahn, see FractionFreeFastGaussianElimination. Furthermore, we show that there is also a way to guess sequences generated by Formula (6). Using these algorithms our package clearly outperforms both In the following section we outline the capabilities of our package. In the Section therafter we describe the most important options that modify the behaviour of the functions. ## Function Classes Suitable for GuessingIn this section we briefly present the function classes which are covered by our package. Throughout this section, is the function we would like to guess, and is its generating function. The values are supposed to be elements of some field , usually the field of rationals or rational functions. We alert the reader that the first value in the given sequence always corresponds to the value . ## Guessing`guessRec` finds recurrences of the form where is a polynomial with coefficients in . For example,(7) fricasguessRec([1, 1, 0, 1, - 1, 2, - 1, 5, - 4, 29, - 13, 854, - 685]) 2 (1) [[f(n): f(n + 2) + f(n + 1) - f(n) = 0,f(0) = 1, f(1) = 1]] **Type:**List(Expression(Integer))Note that, at least in the current implementation, we do not exclude solutions that do not determine the function completely. For example, given a list containing only zeros and ones, one result will be `guessPRec` only looks for recurrences with linear , i.e., it recognizes P-recursive sequences. As an example,fricasguessPRec([0, 1, 0, -1/6, 0, 1/120, 0, -1/5040, 0, 1/362880, 0, -1/39916800]) (2) []**Type:**List(Expression(Integer))
Concerning -analogues, For Sequence (5), we enter fricas guessExpRat(q)([(1-2*q)/(1-q), Type: List(Expression(Integer))## Guessing`guessADE` finds an algebraic differential equation for , i.e., an equation of the form where is a polynomial with coefficients in . A typical example is :(8) fricasguessADE([1, 1, 2, 9/2, 32/3, 625/24, 324/5, 117649/720, 131072/315]) (5) []**Type:**List(Expression(Integer))`guessHolo` only looks for equations of the form (11) with linear , that is, it recognizes holonomic or differentially-finite functions. It is well known that the class of holonomic functions coincides with the class of functions having P-recursive Taylor coefficients. However, the number of terms necessary to find the differential equation often differs greatly from the number of terms necessary to find the recurrence. Returning to the example given for`guessPRec` , we find that already the first 6 terms are sufficient to guess a generating function:fricasguessHolo([0, 1, 0, -1/6, 0, 1/120]) 3 n ,, x 4 (6) [[[x ]f(x): f (x) + f(x) = 0, f(x) = x - -- + O(x )]] 6 **Type:**List(Expression(Integer))Moreover, now we immediately recognise the coefficients as being those of the sine function. `guessHolo` is also the function provided by`GFUN` . Here is a comparison of average running times in seconds over several runs on the same machine for a list of elements`guessAlg` looks for an algebraic equation satisfied by , i.e., an equation of the form the prime example being given by the Catalan numbersfricasfirst guessAlg [1, 1, 2, 5, 14, 42] n 2 2 3 4 (7) [[x ]f(x): x f(x) - f(x) + 1 = 0,f(x) = 1 + x + 2 x + 5 x + O(x )] **Type:**Expression(Integer)`guessPade` recognises rational generating functions. For the Fibonacci sequence given in Equation (2), we find as likely solution
We provide -analogues, replacing differentiation with -dilation:
`guessHolo` , `guessAlg` , and `guessPade` .
To guess a formula for Sequence (4), we enter fricas guessRat(q)([1, Type: List(Expression(Integer))## Operators The main observation made by Christian Krattenthaler in designing his program
We slightly extend upon this idea, and apply recursively one or both of the two following operators: `guessSum` - the differencing operator, transforming into .`guessProduct` - the operator that transforms into .
For example, to guess a formula for Sequence (3), we enter fricas guess([0, Type: List(Expression(Integer))The second argument to In the case where only the operator is applied, our package is directly
comparable to fricas guess([1, Type: List(Expression(Integer))Here are the average running times in seconds for our package and
## OptionsTo give you the maximum flexibility in guessing a formula for your favourite sequence, we provide options that modify the behaviour of the functions as described in Section~\ref{sec:function-classes}. The options are appended, separated by commas, to the guessing function in the form \spad{option==value}. See below for some examples. `debug` specifies whether informations about progress should be reported.`safety` specifies, as explained at the beginning of Section 2, the number of values reserved for testing any solutions found. The default setting is 1.Experiments seem to indicate that for `guessADE` higher settings are appropriate than for`guessRat` . I.e., if a rational function interpolates the given list of terms, where the final term is used for testing, we can be pretty sure that the formula found is correct. By contrast, we recommend setting`safety` to 3 or 4 when using`guessADE` . For all algorithms except`guessExpRat` we recommend to omit trailing zeros.`one` specifies whether the guessing function should return as soon as at least one solution is found. By default, this option is set to`true` .`maxDegree` specifies the maximum degree of the coefficient polynomials in an algebraic differential equation or a recursion with polynomial coefficients. For rational functions with an exponential term,`maxDegree` bounds the degree of the denominator polynomial. This option is especially interesting if trying rather long sequences where it is unclear whether a solution will be found or not. Setting`maxDegree` to -1, which is the default, specifies that the maximum degree can be arbitrary.`allDegrees` specifies whether all possibilities of the degree vector - taking into account`maxDegree` - should be tried. The default is`true` for`guessPade` and`guessRat` and`false` for all other functions.`homogeneous` specifies whether the search space should be restricted to homogeneous algebraic differential equations or homogeneous recurrences. By default, it is set to`false` .`maxDerivative` -`maxShift` specify the maximum derivative in an algebraic differential equation, or, in a recurrence relation, the maximum shift. Setting the option to -1 specifies that the maximum derivative - the maximum shift - may be arbitrary.`maxPower` specifies the maximum total degree in an algebraic differential equation or recurrence: for example, the degree of is 4. Setting the option to -1 specifies that the maximum total degree may be arbitrary. For example,fricasl := [1, 1, 1, 1, 2, 3, 7, 23, 59, 314, 1529, 8209, 83313, 620297, 7869898, 126742987, 1687054711, 47301104551, 1123424582771, 32606721084786, 1662315215971057]; **Type:**List(PositiveInteger?)fricasguessRec(l, maxPower==2) (12) [ 2 [f(n): - f(n)f(n + 4) + f(n + 1)f(n + 3) + f(n + 2) = 0,f(0) = 1, f(1) = 1, f(2) = 1, f(3) = 1] ] **Type:**List(Expression(Integer))returns the Somos-4 recurrence, whereas without limiting the power to 2, we need the first 33 values, and instead of roughly one second half a minute of computing time. `maxLevel` specifies how many levels of recursion are tried when applying operators. Note that, applying either of the two operators results in a sequence which is by one shorter than the original sequence. Therefore, in case both`guessSum` and`guessProduct` are specified, the number of times a guessing algorithm from the given list of functions is applied is roughly , where $n$ is the number of terms in the given sequence. Thus, especially when the list of terms is long, it is important to set`maxLevel` to a low value.Still, the default value is -1, which means that the number of levels is only restricted by the number of terms given in the sequence. `indexName` ,`variableName` ,`functionName` specify symbols to be used for the output. The defaults are`n` ,`x` and`f` respectively.
## A note on the outputThe output of any function described in Section 3 is a list of formulae which seem to fit, along with an integer that states from which term on the formula is correct. The latter is necessary, because rational interpolation features sometimes unattainable points, as the following example shows: fricas guessRat([3, Type: List(Expression(Integer))indicates that the first two terms of the sequence might not coincide with the value predicted by the returned function. A similar situation occurs, if the function generating the sequence has a singular point at , where and is the number of given values. We would like to stress that this is rather a feature than a bug: most terms will be correct, just as in the example above, where the value at is indeed 3. fricas )version |

Fricas Version--Bill Page, Wed, 14 Oct 2009 10:33:47 -0700 reply