Binomial theorem
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Binomial theorem
In mathematics, the binomial theorem is an important formula giving the expansion of powers of sums. Its simplest version says
whenever n is any non-negative integer, the number
is the binomial coefficient (using the choose function), and n! denotes the factorial of n. This formula and the triangular arrangement of the binomial coefficients are often attributed to Blaise Pascal, who described them in the 17th century. However, it was known to many mathematicians who preceded him; 13th-century Chinese mathematician Yang Hui, 11th-century Persian mathematician Omar Khayyám, and 3rd-century BC Indian mathematician Pingala all derived similar results.[1] For example, here are the cases where 2 ? n ? 5:
Formula (1) is valid for all real or complex numbers x and y, and more generally for any elements x and y of a semiring as long as xy = yx (the theorem is true even more generally: note that associativity is not required, just alternativity).
Simple derivationConsider a=(x+y)^n . a can be written as a product of sums, a=s_1s_2 \cdots s_n , where each s_i=x+y . The expansion of a is the sum of all products involving one term—either x or y—from each s_i . For example, the term x^n in the expansion of a is had by picking x in each s_i . The coefficient of each term in the expansion of a is determined by how many different ways there are to pick terms from the s_i such that their product is of the same form as the term (excluding the coefficient). Consider t=x^{n-1}y. t can be formed from a by picking y from one of the s_i and x in the rest of them. There are n ways to pick a s_i to provide the y; t is thus formed in n different ways in the expansion of a, making its coefficient n. In general, for t=x^{n-k}y^k, there are
different ways to pick the s_i that provide the ys (since k ys are picked from the n s_i), and thus this must be the coefficient for t. The binomial theorem follows naturally from here. Newton's generalized binomial theoremIsaac Newton generalized the formula to other exponents by considering an infinite series:
where r can be any complex number (in particular r can be any real number, not necessarily positive and not necessarily an integer), and the coefficients are given by
In case k = 0, this is a product of no numbers at all and therefore equal to 1, and in case k = 1 it is equal to r, as the additional factors (r − 1), etc., do not appear. Another way to express this quantity is
which is important when one is working with infinite series and would like to represent them in terms of generalized hypergeometric functions. The notation (\cdot)_k is the Pochhammer symbol. This form is used in applied mathematics, for example, when evaluating the formulas that model the statistical properties of the phase-front curvature of a light wave as it propagates through optical atmospheric turbulence. A particularly handy but non-obvious form holds for the reciprocal power:
For a more extensive account of Newton's generalized binomial theorem, see binomial series. The sum in (2) converges and the equality is true whenever x is nonzero and the real or complex numbers x and y are "close together" in the sense that the absolute value | y/x | is less than one. The geometric series is a special case of (2) where we choose x = 1 and r = − 1. Formula (2) is also valid for elements x and y of a Banach algebra as long as xy = yx, x is invertible and ||y/x|| < 1. "Binomial type"The binomial theorem can be stated by saying that the polynomial sequence
is of binomial type. ProofOne way to prove the binomial theorem (1) is with mathematical induction. When n = 0, we have
For the inductive step, assume the theorem holds when the exponent is m. Then for n = m + 1
by the inductive hypothesis
by multiplying through by a and b
by pulling out the k = 0 term
by letting j = k − 1
by pulling out the k = m + 1 term from the right hand side
by combining the sums
from Pascal's rule
by adding in the m + 1 terms. Binomial numberA binomial number is a number in the form of \scriptstyle x^n \,\pm\, y^n (for n at least 2). When the sign is minus or n is odd these binomial numbers can be factored algebraically:
Examples:
To factorise \scriptstyle x^n\,-\,y^n simply, use
A quick way to expand binomialsTo quickly expand binomials of the form
The first term is
(this follows directly from the generalized binomial theorem) and the coefficient of each subsequent term is the current coefficient multiplied by the current exponent of x, divided by the current term number. Exponents of x decrease each term, while exponents of y increase each term (from 0 in the first term) until the exponent of x is 0 and that of y is n. Example:
The first term is
To find the coefficient of the second term, multiply 1 (the current coefficient) by 10 (the current exponent of x), and divide by the current term number (1, since this is the first term) to get 10. The exponent of x decrements, and the exponent of y increments. The next term is therefore
Similarly, the next coefficient is 10×9/2×1, which gives 45. After that, it is (10×9×8)/(3×2×1). This continues until (10×9×8×7×6)/(5×4×3×2×1), after which, the coefficients are symmetrical. The whole thing is
Notice that the coefficients are perfectly symmetrical. This will happen when the coefficients of x and y within the parentheses of the original expression are the same. Recognizing this can save even more time. More formally, given a term
The next term in the binomial is
If the original expression instead was
then the resulting expansion would be the same, except with (2x) in place of x in every place. The factor of 2 must get raised to the power of x in each term. The same holds true if either x or y is raised to a power inside the parentheses of the original expression. The binomial theorem in popular culture
References
See also
External links
ar:????? ??? ?????? bn:??????? ??????? bg:??????? ????? ca:Binomi de Newton cs:Binomická v?ta de:Binomischer Lehrsatz es:Teorema del binomio fr:Formule du binôme de Newton ko:???? it:Teorema binomiale he:?????? ?? ?????? lt:Binomo formul? hu:Binomiális tétel nl:Binomium van Newton ja:???? no:Binomialformelen pt:Binómio de Newton ru:????? ??????? simple:Binomial expansion sv:Binomialsatsen th:????????????? vi:??nh lý nh? th?c tr:Binom aç?l?m? ur:?? ???? ????? ?????? zh:????? Source: Wikipedia | The above article is available under the GNU FDL. | Edit this article
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