Arithmetic operations  

In mathematics, summation is the addition of a sequence of any kind of numbers, called addends or summands; the result is their sum or total. Besides numbers, other types of values can be summed as well: functions, vectors, matrices, polynomials and, in general, elements of any types of mathematical objects on which an operation denoted "+" is defined.
Summations of infinite sequences are called series. They involve the concept of limit, and are not considered in this article.
The summation of an explicit sequence is denoted as a succession of additions. For example, summation of [1, 2, 4, 2] is denoted 1 + 2 + 4 + 2, and results in 9, that is, 1 + 2 + 4 + 2 = 9. Because addition is associative and commutative, there is no need of parentheses, and the result does not depend on the order of the summands. Summation of a sequence of only one element results in this element itself. Summation of an empty sequence (a sequence with zero element) results, by convention, in 0.
Very often, the elements of a sequence are defined, through regular pattern, as a function of their place in the sequence. For simple patterns, summation of long sequences may be represented with most summands replaced by ellipses. For example, summation of the first 100 natural numbers may be written 1 + 2 + 3 + 4 + ⋅⋅⋅ + 99 + 100. Otherwise, summation is denoted by using Σ notation, where is an enlarged capital Greek letter sigma. For example, the sum of the first n natural integers is denoted
For long summations, and summations of variable length (defined with ellipses or Σ notation), it is a common problem to find closedform expressions for the result. For example,^{[a]}
Although such formulas do not always exist, many summation formulas have been discovered. Some of the most common and elementary ones are listed in this article.
YouTube Encyclopedic

1/5Views:861 54187 754154 85165 81587 672

✪ Sigma notation for sums  Sequences, series and induction  Precalculus  Khan Academy

✪ Summation Formulas and Sigma Notation  Calculus

✪ Sigma Notation, Partial Sum, Infinite, Arithmetic Sequence and Geometric Series

✪ Finding the sum or an arithmetic series using summation notation

✪ Summation Notation Practice  MIT 18.01SC Single Variable Calculus, Fall 2010
Transcription
What I want to do in this video is introduce you to the idea of Sigma notation, which will be used extensively through your mathematical career. So let's just say you wanted to find a sum of some terms, and these terms have a pattern. So let's say you want to find the sum of the first 10 numbers. So you could say 1 plus 2 plus 3 plus, and you go all the way to plus 9 plus 10. And I clearly could have even written this whole thing out, but you can imagine it becomes a lot harder if you wanted to find the sum of the first 100 numbers. So that would be 1 plus 2 plus 3 plus, and you would go all the way to 99 plus 100. So mathematicians said, well, let's find some notation, instead of having to do this dot dot dot thing which you will see sometimes done so that we can more cleanly express these types of sums. And that's where Sigma notation comes from. So this sum up here, right over here, this first one, it could be represented as Sigma. Use a capital Sigma, this Greek letter right over here. And what you do is you define an index. And you could start your index at some value. So let's say your index starts at 1. I'll just use i for index. So let's say that i starts at 1, and I'm going to go to 10. So i starts at 1, and it goes to 10. And I'm going to sum up the i's. So how does this translate into this right over here? Well, what you do is you start wherever the index is. If the index is at 1, set i equal to 1. Write the 1 down, and then you increment the index. And so i will then be equal to 2. i is 2. Put the 2 down. And you're summing each of these terms as you go. And you go all the way until i is equal to 10. So given what I just told you, I encourage you to pause this video and write the Sigma notation for this sum right over here. Assuming you've given a go at it, well, this would be the sum. The first term, well, it might be easy to just say we'll start at i equals 1 again. But now we're not going to stop until i equals 100, and we're going to sum up all of the i's. Let's do another example. Let's imagine the sum from i equals 0 to 50 of I don't know, let me say pi i squared. What would this sum look like? And once again, I encourage you to pause the video and write it out, expand out this sum. Well, let's just go step by step. When i equals 0, this will be pi times 0 squared. And that's clearly 0, but I'll write it out. pi times 0 squared. Then we increase our i. And, well, we make sure that we haven't hit this, that our i isn't already this top boundary right over here or this top value. So now we said i equals 1, pi times 1 squared so plus pi times 1 squared. Well, is 1 our top value right over here, where we stop? No. So we keep going. So then we go i equals 2, pi times 2 squared so plus pi times 2 squared. I think you see the pattern here. And we're just going to keep going all the way until, at some point we're going to keeping incrementing our i. i is going to be 49. So it's going to be pi times 49 squared. And then finally we increment i. i equal becomes 50, and so we're going to have plus pi times 50 squared. And then we say, OK, our i is finally equal to this top boundary, and now we can stop. And so you can see this notation, this Sigma notation for this sum was a much cleaner way, a much purer way, of representing this than having to write out the entire sum. But you'll see people switch back and forth between the two.
Contents
Notation
Capitalsigma notation
Mathematical notation uses a symbol that compactly represents summation of many similar terms: the summation symbol, , an enlarged form of the upright capital Greek letter Sigma. This is defined as:
where i represents the index of summation; a_{i} is an indexed variable representing each successive term in the series; m is the lower bound of summation, and n is the upper bound of summation. The "i = m" under the summation symbol means that the index i starts out equal to m. The index, i, is incremented by 1 for each successive term, stopping when i = n.^{[b]}
Here is an example showing the summation of squares:
Informal writing sometimes omits the definition of the index and bounds of summation when these are clear from context, as in:
One often sees generalizations of this notation in which an arbitrary logical condition is supplied, and the sum is intended to be taken over all values satisfying the condition. Here are some common examples:
is the sum of over all (integers) in the specified range,
is the sum of over all elements in the set , and
is the sum of over all positive integers dividing .^{[c]}
There are also ways to generalize the use of many sigma signs. For example,
is the same as
A similar notation is applied when it comes to denoting the product of a sequence, which is similar to its summation, but which uses the multiplication operation instead of addition (and gives 1 for an empty sequence instead of 0). The same basic structure is used, with , an enlarged form of the Greek capital letter Pi, replacing the .
Special cases
It is possible to sum fewer than 2 numbers:
 If the summation has one summand , then the evaluated sum is .
 If the summation has no summands, then the evaluated sum is zero, because zero is the identity for addition. This is known as the empty sum.
These degenerate cases are usually only used when the summation notation gives a degenerate result in a special case. For example, if in the definition above, then there is only one term in the sum; if , then there is none.
Formal definition
Summation may be defined recursively as follows
 , for b < a.
 , for b ≥ a.
Measure theory notation
In the notation of measure and integration theory, a sum can be expressed as a definite integral,
where is the subset of the integers from to , and where is the counting measure.
Calculus of finite differences
Given a function f that is defined over the integers in the interval [m, n], one has
This is the analogue in calculus of finite differences of the fundamental theorem of calculus, which states
where
is the derivative of f.
An example of application of the above equation is
Using binomial theorem, this may be rewritten
The above formula is more commonly used for inverting of the difference operator defined by
where f is a function defined on the nonnegative integers. Thus, given such a function f, the problem is to compute the antidifference of f, that is, a function such that , that is, This function is defined up to the addition of a constant, and may be chosen as^{[1]}
There is not always a closedform expression for such a summation, but Faulhaber's formula provides a closed form in the case of and, by linearity for every polynomial function of n.
Approximation by definite integrals
Many such approximations can be obtained by the following connection between sums and integrals, which holds for any:
increasing function f:
decreasing function f:
For more general approximations, see the Euler–Maclaurin formula.
For summations in which the summand is given (or can be interpolated) by an integrable function of the index, the summation can be interpreted as a Riemann sum occurring in the definition of the corresponding definite integral. One can therefore expect that for instance
since the right hand side is by definition the limit for of the left hand side. However, for a given summation n is fixed, and little can be said about the error in the above approximation without additional assumptions about f: it is clear that for wildly oscillating functions the Riemann sum can be arbitrarily far from the Riemann integral.
Identities
The formulae below involve finite sums; for infinite summations or finite summations of expressions involving trigonometric functions or other transcendental functions, see list of mathematical series.
General identities
 (distributivity)
 (commutativity and associativity)
 (index shift)
 for a bijection σ from a finite set A onto a set B (index change); this generalizes the preceding formula.
 (splitting a sum, using associativity)
 (a variant of the preceding formula)
 (commutativity and associativity, again)
 (another application of commutativity and associativity)
 (splitting a sum into its odd and even parts, and changing the indices)
 (distributivity)
 (distributivity allows factorization)
 (the logarithm of a product is the sum of the logarithms of the factors)
 (the exponential of a sum is the product of the exponential of the summands)
Powers and logarithm of arithmetic progressions
 for every c that does not depend on i
 (Sum of the simplest arithmetic progression, consisting of the n first natural numbers.)^{[2]}^{[full citation needed]}
 (Sum of first odd natural numbers)
 (Sum of first even natural numbers)
 (A sum of logarithms is the logarithm of the product)
 (Sum of the first squares, see square pyramidal number.) ^{[2]}
 (Nicomachus's theorem) ^{[2]}
More generally,
where denotes a Bernoulli number (that is Faulhaber's formula).
Summation index in exponents
In the following summations, a is assumed to be different from 1.
 (sum of a geometric progression)
 (special case for a = 1/2)
 (a times the derivative with respect to a of the geometric progression)

 (sum of an arithmetico–geometric sequence)
Binomial coefficients and factorials
There exist very many summation identities involving binomial coefficients (a whole chapter of Concrete Mathematics is devoted to just the basic techniques). Some of the most basic ones are the following.
Involving the binomial theorem
 the binomial theorem
 the special case where a = b = 1
 , the special case where p = a = 1 – b, which, for expresses the sum of the binomial distribution
 the value at a = b = 1 of the derivative with respect to a of the binomial theorem
 the value at a = b = 1 of the antiderivative with respect to a of the binomial theorem
Involving permutation numbers
In the following summations, is the number of kpermutations of n.
 , where and denotes the floor function.
Others
Harmonic numbers
 (that is the nth harmonic number)
 (that is a generalized harmonic number)
Growth rates
The following are useful approximations (using theta notation):
 for real c greater than −1
 (See Harmonic number)
 for real c greater than 1
 for nonnegative real c
 for nonnegative real c, d
 for nonnegative real b > 1, c, d
See also
 Einstein notation
 Iverson bracket
 Iterated binary operation
 Kahan summation algorithm
 Products of sequences
 Product (mathematics)
Notes
 ^ For details, see Triangular number.
 ^ For a detailed exposition on summation notation, and arithmetic with sums, see Graham, Ronald L.; Knuth, Donald E.; Patashnik, Oren (1994). "Chapter 2: Sums". Concrete Mathematics: A Foundation for Computer Science (PDF) (2nd ed.). AddisonWesley Professional. ISBN 9780201558029.^{[permanent dead link]}
 ^ Although the name of the dummy variable does not matter (by definition), one usually uses letters from the middle of the alphabet ( through ) to denote integers, if there is a risk of confusion. For example, even if there should be no doubt about the interpretation, it could look slightly confusing to many mathematicians to see instead of in the above formulae involving . See also typographical conventions in mathematical formulae.
Sources
External links
 "Summation". PlanetMath.