Let (an) be a sequence and m,n∈N. The finite series∑i=mnai is the sum of the terms am,am+1,…,an, defined recursively with the empty sum equal to zero.
i=m∑nai:={0(∑i=mn−1ai)+ann<mn≥m
The index i is a dummy variable, and renaming it does not change the sum.
Let (an) and (bn) be sequences, c∈R,m≤n<p and k∈N. Finite series have the following properties:
The fifth property is the triangle inequality. Its special case ∣x+y∣≤∣x∣+∣y∣ for x,y∈R is used throughout real analysis.
Let X be a finite set with cardinality n,f:X→R be a function and g:{1,…,n}→X be a bijection. The series over the finite setX is the finite series of the values of f in the order given by g.
x∈X∑f(x):=i=1∑nf(g(i))
The value does not depend on the choice of bijection g, so the order in which the elements of a finite set are summed is irrelevant.
Let X and Y be finite sets, f,h:X→R be functions and c∈R. Series over finite sets have the following properties:
Let X and Y be finite sets and f:X×Y→R be a function. Fubini’s theorem for finite series states that a series over the Cartesian product X×Y equals the iterated series taken in either order.
Let (an) be a sequence indexed from m∈N and N≥m. The partial sumSN is the finite series of the terms up to index N.
SN:=n=m∑Nan
Let (an) be a sequence indexed from m∈N. The infinite series∑n=m∞an is the sequence of partial sums (SN).
Let ∑n=m∞an be an infinite series and S∈R. The series converges to S if and only if the sequence of partial sums converges to S. The number S is the sum of the series. The series diverges if and only if it does not converge.
n=m∑∞an:=N→∞limSN=N→∞limn=m∑Nan
Changing or removing finitely many terms of a series does not affect whether it converges, although it changes the sum. The starting index is taken to be m=1 below unless written otherwise.
Let ∑n=1∞an be an infinite series. The Cauchy criterion states that the series converges if and only if its partial sums form a Cauchy sequence.
∀ε>0∃N∈N:n=p∑qan≤ε∀q≥p≥N
Let ∑n=1∞an be an infinite series. The zero test states that if the series converges then an→0 as n→∞. Equivalently, if (an) does not converge to 0 then the series diverges. The converse is false: the harmonic series∑n=1∞n1 diverges even though n1→0.
Let ∑n=1∞an be an infinite series. The series is absolutely convergent if and only if the series of absolute values ∑n=1∞∣an∣ converges. The series is conditionally convergent if and only if it converges but is not absolutely convergent.
Let ∑n=1∞an be an absolutely convergent series. The absolute convergence test states that the series is convergent and its sum satisfies the triangle inequality.
n=1∑∞an≤n=1∑∞∣an∣
Let (bn) be a sequence with bn≥0 for all n. The alternating series with terms (bn) is the series ∑n=1∞(−1)nbn, whose terms alternate in sign.
Let ∑n=1∞(−1)nbn be an alternating series. The alternating series test states that if (bn) is monotonically decreasing and bn→0 then the alternating series converges, and its partial sums satisfy
n=1∑∞(−1)nbn−n=1∑N(−1)nbn≤bN+1∀N∈N.
The alternating harmonic series∑n=1∞n(−1)n+1 is therefore convergent but, since the harmonic series diverges, only conditionally convergent.
Let ∑n=1∞an=S and ∑n=1∞bn=T be convergent series and c∈R. The series laws state that sums, scalar multiples and tails of convergent series converge as follows.
Let ∑n=1∞an be an infinite series. Convergent series have the following properties:
the series ∑n=1∞an+k converges if and only if ∑n=1∞an converges;
the sum of a convergent series does not depend on how its terms are grouped;
the sum of a convergent series can depend on the order of its terms, unless the series is absolutely convergent, in which case every rearrangement of the terms converges to the same sum.
Let (bn) be a sequence. The telescoping series of (bn) is the series ∑n=1∞(bn−bn+1) whose terms are differences of consecutive terms of (bn). If (bn) converges to L then the partial sums collapse and
n=1∑∞(bn−bn+1)=N→∞lim(b1−bN+1)=b1−L.
For example, n(n+1)1=n1−n+11 gives ∑n=1∞n(n+1)1=1.
Let (an) and (bn) be sequences. The comparison test states that if ∣an∣≤bn for all n and ∑n=1∞bn converges then ∑n=1∞an is absolutely convergent and
n=1∑∞an≤n=1∑∞∣an∣≤n=1∑∞bn.
Conversely, if 0≤bn≤an for all n and ∑n=1∞bn diverges then ∑n=1∞an diverges.
Let p∈R. The p-series is the series ∑n=1∞np1, which converges if and only if p>1. The p-series is a common series for comparison.
Let x∈R. The geometric series with ratio x is the series ∑n=0∞xn. Its partial sums are
n=0∑Nxn={1−x1−xN+1N+1x=1x=1.
Since xN+1→0 if and only if ∣x∣<1, the geometric series converges if and only if ∣x∣<1, and then
n=0∑∞xn=1−x1.
Let (an) be a sequence such that the limit α=limn→∞∣an∣n1 exists. The root test states that ∑n=1∞an is absolutely convergent if α<1 and divergent if α>1. If α=1 the test is inconclusive.
Let (an) be a sequence with an=0 for all n such that the limit α=limn→∞anan+1 exists. The ratio test states that ∑n=1∞an is absolutely convergent if α<1 and divergent if α>1. If α=1 the test is inconclusive. Both the root and ratio tests compare the series with a geometric series, and the p-series shows that α=1 is compatible with either convergence or divergence.
Let c∈R and (an) be a sequence indexed from 0. The power series centred at c with coefficients (an) is the function of x∈R given by the series
n=0∑∞an(x−c)n
wherever this series converges.
Let ∑n=0∞an(x−c)n be a power series. The radius of convergence of the power series is the unique R∈[0,∞] such that the series converges absolutely for all x with ∣x−c∣<R and diverges for all x with ∣x−c∣>R. When the limits exist, the root and ratio tests give
R1=n→∞lim∣an∣n1=n→∞limanan+1
with the conventions 01=∞ and ∞1=0.
Let ∑n=0∞an(x−c)n be a power series with radius of convergence R. The interval of convergence of the power series is the set of x for which the series converges. The interval of convergence contains (c−R,c+R) and may or may not contain the endpoints c±R. For example, the geometric series is the power series centred at 0 with an=1 and R=1.
The exponential series is the power series centred at 0 with coefficients n!1.
exp(x):=n=0∑∞n!xn
The exponential series has R=∞ and converges for every x∈R.
Let X⊆R and fn:X→R be a sequence of functions indexed by n∈N. The sequence converges pointwise to f:X→R if and only if fn(x)→f(x) for every x∈X. Equivalently, for every ε>0 and every x∈X there exists N∈N, which may depend on both ε and x, such that ∣fn(x)−f(x)∣≤ε for all n≥N.
Let X⊆R and fn:X→R be a sequence of functions indexed by n∈N. The sequence converges uniformly to f:X→R if and only if the largest difference between fn and f tends to zero.
x∈Xsup∣fn(x)−f(x)∣→0asn→∞
Equivalently, for every ε>0 there exists N∈N, depending on ε alone, such that ∣fn(x)−f(x)∣≤ε for all n≥N and all x∈X. Uniform convergence implies pointwise convergence. The converse is false: fn(x)=xn converges pointwise on [0,1] to the function that is 0 on [0,1) and 1 at 1, but not uniformly, since supx∣fn(x)−f(x)∣=1 for every n.
Let X⊆R and fn:X→R be a sequence of functions. The uniform Cauchy criterion states that (fn) converges uniformly to some function on X if and only if
∀ε>0∃N∈N:x∈Xsup∣fn(x)−fm(x)∣≤ε∀m,n≥N.
Let X⊆R and fn:X→R be a sequence of functions. The series of functions∑n=1∞fn is the sequence of partial sums SN=∑n=1Nfn. The series of functions converges pointwise or uniformly on X if and only if its sequence of partial sums does.
Let X⊆R and ∑n=1∞fn be a series of functions on X. The Weierstrass M-test states that if there are constants Mn≥0 with ∣fn(x)∣≤Mn for all x∈X and ∑n=1∞Mn converges then ∑n=1∞fn converges absolutely at every x∈X and uniformly on X. By comparison with ∑n=0∞∣an∣rn, a power series with radius of convergence R converges uniformly on every closed interval [c−r,c+r] with 0≤r<R. A power series need not converge uniformly on (c−R,c+R): the partial sums of the geometric series are bounded on (−1,1) whereas its sum is not.
A complex number is an ordered pair z=(a,b) of real numbers, written z=a+ib. The real part of z is a=Rez, the imaginary part of z is b=Imz and the imaginary unit is i=0+1i. The set of complex numbers is C. Addition and multiplication of complex numbers are defined by
so that i2=−1. With these operations C is a field that contains R as the complex numbers with imaginary part 0.
Let z=a+ib∈C. The complex conjugate of z is z:=a−ib. The modulus of z is ∣z∣:=a2+b2=zz, which agrees with the absolute value when z∈R. The modulus has the following properties for z,w∈C:
No ordering of C is compatible with its field operations, so inequalities between complex numbers are inequalities between their moduli.
Let (zn) be a sequence of complex numbers and z∈C. The sequence (zn)converges to z if and only if ∣zn−z∣→0. By the last inequality above, zn→z if and only if Rezn→Rez and Imzn→Imz. Applied to real and imaginary parts, the Cauchy criterion, convergence and absolute convergence of series with the modulus in place of the absolute value, the absolute convergence, comparison, root and ratio tests, the series laws and the rearrangement of absolutely convergent series all carry over to complex sequences and series.
Let c∈C and (an) be a sequence of complex numbers indexed from 0. The complex power series centred at c with coefficients (an) is the function of z∈C given by ∑n=0∞an(z−c)n wherever this series converges. A complex power series has a radius of convergence R given by the same formula as a real power series. The disc of convergence is the set {z∈C:∣z−c∣<R}, on which the series converges absolutely, and the series diverges for ∣z−c∣>R.
The exponential series converges absolutely for every z∈C. The exponential functionexp:C→C is the function defined by the exponential series. The exponential function has the following properties, of which the first is the exponential law:
The exponential law follows from multiplying two exponential series and rearranging the absolutely convergent result. For real x the exponential function is real with exp(x)>0, it is injective on R with image (0,∞) and exp(x)≥1+x.
The natural logarithmloge:(0,∞)→R is the inverse function of the exponential function on R. The natural logarithm satisfies loge(xy)=logex+logey and loge1=0.
Euler’s number is the value of the exponential function at 1.
e:=exp(1)=n=0∑∞n!1≈2.71828
By the exponential law exp(qp)=eqp for every rational exponent, so ez:=exp(z) is written for every z∈C.
Let a>0 and x∈R. The real powerax is the exponential of x times the natural logarithm of a.
ax:=exp(xlogea)
The real power extends the rational powers of a.
Let t∈R. The cosine and sine of t are the sums of the even and odd parts of the exponential series with alternating signs, which converge absolutely for every t.
Let t∈R.Euler’s formula states that the exponential of it is the complex number with real part cost and imaginary part sint.
eit=cost+isint
Euler’s formula follows from splitting exp(it) into its even and odd terms and using i2n=(−1)n. Consequently cost=Reeit=2eit+e−it and sint=Imeit=2ieit−e−it, so cos(−t)=cost and sin(−t)=−sint. The exponential law gives the following identities for s,t∈R and n∈N:
Let t∈R with cost=0. The tangent of t is the quotient of the sine and the cosine.
tant:=costsint
The cosine has a smallest positive zero. The number π≈3.14159 is twice that zero, so that cos2π=0 and sin2π=1. Euler’s formula then gives e2iπ=i,eiπ=−1 and e2πi=1, so by the exponential law
exp(z+2πi)=exp(z)∀z∈C.
Let f:R→R be a function and T>0. The function f is periodic with periodT if and only if f(t+T)=f(t) for all t∈R. The cosine and sine are periodic with period 2π.
The unit circle is the set {z∈C:∣z∣=1}. The function t↦eit is a bijection from [0,2π) onto the unit circle.
Let z∈C be non-zero. The polar form of z is the unique expression of z as its modulus times a point of the unit circle.
z=∣z∣eiθ=∣z∣(cosθ+isinθ),θ∈[0,2π)
The number θ is the argument of z. In polar form, multiplication multiplies moduli and adds arguments.
Let n≥1. The roots of unity of order n are the n zeros en2πik,k=0,…,n−1, of the complex polynomial zn−1.