Let (an)(a_n) be a sequence and m,n∈N.m,n\in\mathbb{N}. The finite series ∑i=mnai\sum_{i=m}^n a_i is the sum of the terms am,am+1,…,an,a_m,a_{m+1},\ldots,a_n, defined recursively with the empty sum equal to zero.

∑i=mnai:={0n<m(∑i=mn−1ai)+ann≥m\sum_{i=m}^{n} a_i := \begin{cases} 0 & n<m \\ \left(\sum_{i=m}^{n-1} a_i\right)+a_n & n\geq m \end{cases}

The index ii is a dummy variable, and renaming it does not change the sum.

Let (an)(a_n) and (bn)(b_n) be sequences, c∈R,c\in\mathbb{R}, m≤n<pm\leq n<p and k∈N.k\in\mathbb{N}. Finite series have the following properties:

∑i=mnai+∑i=n+1pai=∑i=mpai\sum_{i=m}^{n} a_i+\sum_{i=n+1}^{p} a_i=\sum_{i=m}^{p} a_i ∑i=mnai=∑j=m+kn+kaj−k\sum_{i=m}^{n} a_i=\sum_{j=m+k}^{n+k} a_{j-k} ∑i=mn(ai+bi)=∑i=mnai+∑i=mnbi\sum_{i=m}^{n} \left(a_i+b_i\right)=\sum_{i=m}^{n} a_i+\sum_{i=m}^{n} b_i ∑i=mnc ai=c∑i=mnai\sum_{i=m}^{n} c\,a_i=c\sum_{i=m}^{n} a_i ∣∑i=mnai∣≤∑i=mn∣ai∣\left\lvert\sum_{i=m}^{n} a_i\right\rvert\leq\sum_{i=m}^{n} \lvert a_i\rvert if  ai≤bi  ∀ m≤i≤n  then  ∑i=mnai≤∑i=mnbi\mathrm{if}\,\,a_i\leq b_i\,\,\forall\,m\leq i\leq n\,\,\mathrm{then}\,\,\sum_{i=m}^{n} a_i\leq\sum_{i=m}^{n} b_i

The fifth property is the triangle inequality. Its special case ∣x+y∣≤∣x∣+∣y∣\lvert x+y\rvert\leq\lvert x\rvert+\lvert y\rvert for x,y∈Rx,y\in\mathbb{R} is used throughout real analysis.

Let XX be a finite set with cardinality n,n, f:X→Rf:X\rightarrow\mathbb{R} be a function and g:{1,…,n}→Xg:\{1,\ldots,n\}\rightarrow X be a bijection. The series over the finite set XX is the finite series of the values of ff in the order given by g.g.

∑x∈Xf(x):=∑i=1nf(g(i))\sum_{x\in X} f(x):=\sum_{i=1}^{n} f\left(g(i)\right)

The value does not depend on the choice of bijection g,g, so the order in which the elements of a finite set are summed is irrelevant.

Let XX and YY be finite sets, f,h:X→Rf,h:X\rightarrow\mathbb{R} be functions and c∈R.c\in\mathbb{R}. Series over finite sets have the following properties:

∑x∈∅f(x)=0,∑x∈{x0}f(x)=f(x0)\sum_{x\in\varnothing} f(x)=0,\qquad\sum_{x\in\{x_0\}} f(x)=f(x_0) if  X∩Y=∅  then  ∑x∈X∪Yf(x)=∑x∈Xf(x)+∑x∈Yf(x)\mathrm{if}\,\,X\cap Y=\varnothing\,\,\mathrm{then}\,\,\sum_{x\in X\cup Y} f(x)=\sum_{x\in X} f(x)+\sum_{x\in Y} f(x) ∑x∈X(f(x)+h(x))=∑x∈Xf(x)+∑x∈Xh(x),∑x∈Xc f(x)=c∑x∈Xf(x)\sum_{x\in X} \left(f(x)+h(x)\right)=\sum_{x\in X} f(x)+\sum_{x\in X} h(x),\qquad\sum_{x\in X} c\,f(x)=c\sum_{x\in X} f(x) ∑y∈Yf(g(y))=∑x∈Xf(x)  for any bijection  g:Y→X\sum_{y\in Y} f\left(g(y)\right)=\sum_{x\in X} f(x)\,\,\mathrm{for}\,\mathrm{any}\,\mathrm{bijection}\,\,g:Y\rightarrow X

Let XX and YY be finite sets and f:X×Y→Rf:X\times Y\rightarrow\mathbb{R} be a function. Fubini’s theorem for finite series states that a series over the Cartesian product X×YX\times Y equals the iterated series taken in either order.

∑(x,y)∈X×Yf(x,y)=∑x∈X(∑y∈Yf(x,y))=∑y∈Y(∑x∈Xf(x,y))\sum_{(x,y)\in X\times Y} f(x,y)=\sum_{x\in X}\left(\sum_{y\in Y} f(x,y)\right)=\sum_{y\in Y}\left(\sum_{x\in X} f(x,y)\right)

Let (an)(a_n) be a sequence indexed from m∈Nm\in\mathbb{N} and N≥m.N\geq m. The partial sum SNS_N is the finite series of the terms up to index N.N.

SN:=∑n=mNanS_N:=\sum_{n=m}^{N} a_n

Let (an)(a_n) be a sequence indexed from m∈N.m\in\mathbb{N}. The infinite series ∑n=m∞an\sum_{n=m}^{\infty} a_n is the sequence of partial sums (SN).(S_N).

Let ∑n=m∞an\sum_{n=m}^{\infty} a_n be an infinite series and S∈R.S\in\mathbb{R}. The series converges to SS if and only if the sequence of partial sums converges to S.S. The number SS is the sum of the series. The series diverges if and only if it does not converge.

∑n=m∞an:=lim⁡N→∞SN=lim⁡N→∞∑n=mNan\sum_{n=m}^{\infty} a_n:=\lim_{N\rightarrow\infty} S_N=\lim_{N\rightarrow\infty}\sum_{n=m}^{N} a_n

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=1m=1 below unless written otherwise.

Let ∑n=1∞an\sum_{n=1}^{\infty} a_n 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=pqan∣≤ε  ∀ q≥p≥N\forall\varepsilon>0\,\exists N\in\mathbb{N}:\left\lvert\sum_{n=p}^{q} a_n\right\rvert\leq\varepsilon\,\,\forall\,q\geq p\geq N

Let ∑n=1∞an\sum_{n=1}^{\infty} a_n be an infinite series. The zero test states that if the series converges then an→0a_n\rightarrow 0 as n→∞.n\rightarrow\infty. Equivalently, if (an)(a_n) does not converge to 00 then the series diverges. The converse is false: the harmonic series ∑n=1∞1n\sum_{n=1}^{\infty}\frac{1}{n} diverges even though 1n→0.\frac{1}{n}\rightarrow 0.

Let ∑n=1∞an\sum_{n=1}^{\infty} a_n be an infinite series. The series is absolutely convergent if and only if the series of absolute values ∑n=1∞∣an∣\sum_{n=1}^{\infty}\lvert a_n\rvert converges. The series is conditionally convergent if and only if it converges but is not absolutely convergent.

Let ∑n=1∞an\sum_{n=1}^{\infty} a_n 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∣\left\lvert\sum_{n=1}^{\infty} a_n\right\rvert\leq\sum_{n=1}^{\infty}\lvert a_n\rvert

Let (bn)(b_n) be a sequence with bn≥0b_n\geq 0 for all n.n. The alternating series with terms (bn)(b_n) is the series ∑n=1∞(−1)nbn,\sum_{n=1}^{\infty}\left(-1\right)^n b_n, whose terms alternate in sign.

Let ∑n=1∞(−1)nbn\sum_{n=1}^{\infty}\left(-1\right)^n b_n be an alternating series. The alternating series test states that if (bn)(b_n) is monotonically decreasing and bn→0b_n\rightarrow 0 then the alternating series converges, and its partial sums satisfy

∣∑n=1∞(−1)nbn−∑n=1N(−1)nbn∣≤bN+1  ∀ N∈N.\left\lvert\sum_{n=1}^{\infty}\left(-1\right)^n b_n-\sum_{n=1}^{N}\left(-1\right)^n b_n\right\rvert\leq b_{N+1}\,\,\forall\,N\in\mathbb{N}.

The alternating harmonic series ∑n=1∞(−1)n+1n\sum_{n=1}^{\infty}\frac{\left(-1\right)^{n+1}}{n} is therefore convergent but, since the harmonic series diverges, only conditionally convergent.

Let ∑n=1∞an=S\sum_{n=1}^{\infty} a_n=S and ∑n=1∞bn=T\sum_{n=1}^{\infty} b_n=T be convergent series and c∈R.c\in\mathbb{R}. The series laws state that sums, scalar multiples and tails of convergent series converge as follows.

∑n=1∞(an±bn)=S±T\sum_{n=1}^{\infty}\left(a_n\pm b_n\right)=S\pm T ∑n=1∞c an=c S\sum_{n=1}^{\infty} c\,a_n=c\,S ∑n=1∞an=∑n=1kan+∑n=k+1∞an  ∀ k∈N\sum_{n=1}^{\infty} a_n=\sum_{n=1}^{k} a_n+\sum_{n=k+1}^{\infty} a_n\,\,\forall\,k\in\mathbb{N}

Let ∑n=1∞an\sum_{n=1}^{\infty} a_n be an infinite series. Convergent series have the following properties:

  • the series ∑n=1∞an+k\sum_{n=1}^{\infty} a_{n+k} converges if and only if ∑n=1∞an\sum_{n=1}^{\infty} a_n 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)(b_n) be a sequence. The telescoping series of (bn)(b_n) is the series ∑n=1∞(bn−bn+1)\sum_{n=1}^{\infty}\left(b_n-b_{n+1}\right) whose terms are differences of consecutive terms of (bn).(b_n). If (bn)(b_n) converges to LL then the partial sums collapse and

∑n=1∞(bn−bn+1)=lim⁡N→∞(b1−bN+1)=b1−L.\sum_{n=1}^{\infty}\left(b_n-b_{n+1}\right)=\lim_{N\rightarrow\infty}\left(b_1-b_{N+1}\right)=b_1-L.

For example, 1n(n+1)=1n−1n+1\frac{1}{n(n+1)}=\frac{1}{n}-\frac{1}{n+1} gives ∑n=1∞1n(n+1)=1.\sum_{n=1}^{\infty}\frac{1}{n(n+1)}=1.

Let (an)(a_n) and (bn)(b_n) be sequences. The comparison test states that if ∣an∣≤bn\lvert a_n\rvert\leq b_n for all nn and ∑n=1∞bn\sum_{n=1}^{\infty} b_n converges then ∑n=1∞an\sum_{n=1}^{\infty} a_n is absolutely convergent and

∣∑n=1∞an∣≤∑n=1∞∣an∣≤∑n=1∞bn.\left\lvert\sum_{n=1}^{\infty} a_n\right\rvert\leq\sum_{n=1}^{\infty}\lvert a_n\rvert\leq\sum_{n=1}^{\infty} b_n.

Conversely, if 0≤bn≤an0\leq b_n\leq a_n for all nn and ∑n=1∞bn\sum_{n=1}^{\infty} b_n diverges then ∑n=1∞an\sum_{n=1}^{\infty} a_n diverges.

Let p∈R.p\in\mathbb{R}. The pp-series is the series ∑n=1∞1np,\sum_{n=1}^{\infty}\frac{1}{n^p}, which converges if and only if p>1.p>1. The pp-series is a common series for comparison.

Let x∈R.x\in\mathbb{R}. The geometric series with ratio xx is the series ∑n=0∞xn.\sum_{n=0}^{\infty} x^n. Its partial sums are

∑n=0Nxn={1−xN+11−xx≠1N+1x=1.\sum_{n=0}^{N} x^n=\begin{cases} \frac{1-x^{N+1}}{1-x} & x\neq 1 \\ N+1 & x=1. \end{cases}

Since xN+1→0x^{N+1}\rightarrow 0 if and only if ∣x∣<1,\lvert x\rvert<1, the geometric series converges if and only if ∣x∣<1,\lvert x\rvert<1, and then

∑n=0∞xn=11−x.\sum_{n=0}^{\infty} x^n=\frac{1}{1-x}.

Let (an)(a_n) be a sequence such that the limit α=lim⁡n→∞∣an∣1n\alpha=\lim_{n\rightarrow\infty}\lvert a_n\rvert^{\frac{1}{n}} exists. The root test states that ∑n=1∞an\sum_{n=1}^{\infty} a_n is absolutely convergent if α<1\alpha<1 and divergent if α>1.\alpha>1. If α=1\alpha=1 the test is inconclusive.

Let (an)(a_n) be a sequence with an≠0a_n\neq 0 for all nn such that the limit α=lim⁡n→∞∣an+1an∣\alpha=\lim_{n\rightarrow\infty}\left\lvert\frac{a_{n+1}}{a_n}\right\rvert exists. The ratio test states that ∑n=1∞an\sum_{n=1}^{\infty} a_n is absolutely convergent if α<1\alpha<1 and divergent if α>1.\alpha>1. If α=1\alpha=1 the test is inconclusive. Both the root and ratio tests compare the series with a geometric series, and the pp-series shows that α=1\alpha=1 is compatible with either convergence or divergence.

Let c∈Rc\in\mathbb{R} and (an)(a_n) be a sequence indexed from 0.0. The power series centred at cc with coefficients (an)(a_n) is the function of x∈Rx\in\mathbb{R} given by the series

∑n=0∞an(x−c)n\sum_{n=0}^{\infty} a_n\left(x-c\right)^n

wherever this series converges.

Let ∑n=0∞an(x−c)n\sum_{n=0}^{\infty} a_n\left(x-c\right)^n be a power series. The radius of convergence of the power series is the unique R∈[0,∞]R\in\left[0,\infty\right] such that the series converges absolutely for all xx with ∣x−c∣<R\lvert x-c\rvert<R and diverges for all xx with ∣x−c∣>R.\lvert x-c\rvert>R. When the limits exist, the root and ratio tests give

1R=lim⁡n→∞∣an∣1n=lim⁡n→∞∣an+1an∣\frac{1}{R}=\lim_{n\rightarrow\infty}\lvert a_n\rvert^{\frac{1}{n}}=\lim_{n\rightarrow\infty}\left\lvert\frac{a_{n+1}}{a_n}\right\rvert

with the conventions 10=∞\frac{1}{0}=\infty and 1∞=0.\frac{1}{\infty}=0.

Let ∑n=0∞an(x−c)n\sum_{n=0}^{\infty} a_n\left(x-c\right)^n be a power series with radius of convergence R.R. The interval of convergence of the power series is the set of xx for which the series converges. The interval of convergence contains (c−R,c+R)\left(c-R,c+R\right) and may or may not contain the endpoints c±R.c\pm R. For example, the geometric series is the power series centred at 00 with an=1a_n=1 and R=1.R=1.

The exponential series is the power series centred at 00 with coefficients 1n!.\frac{1}{n!}.

exp⁡(x):=∑n=0∞xnn!\exp\left(x\right):=\sum_{n=0}^{\infty}\frac{x^n}{n!}

The exponential series has R=∞R=\infty and converges for every x∈R.x\in\mathbb{R}.

Let X⊆RX\subseteq\mathbb{R} and fn:X→Rf_n:X\rightarrow\mathbb{R} be a sequence of functions indexed by n∈N.n\in\mathbb{N}. The sequence converges pointwise to f:X→Rf:X\rightarrow\mathbb{R} if and only if fn(x)→f(x)f_n(x)\rightarrow f(x) for every x∈X.x\in X. Equivalently, for every ε>0\varepsilon>0 and every x∈Xx\in X there exists N∈N,N\in\mathbb{N}, which may depend on both ε\varepsilon and x,x, such that ∣fn(x)−f(x)∣≤ε\lvert f_n(x)-f(x)\rvert\leq\varepsilon for all n≥N.n\geq N.

Let X⊆RX\subseteq\mathbb{R} and fn:X→Rf_n:X\rightarrow\mathbb{R} be a sequence of functions indexed by n∈N.n\in\mathbb{N}. The sequence converges uniformly to f:X→Rf:X\rightarrow\mathbb{R} if and only if the largest difference between fnf_n and ff tends to zero.

sup⁡x∈X∣fn(x)−f(x)∣→0  as  n→∞\sup_{x\in X}\lvert f_n(x)-f(x)\rvert\rightarrow 0\,\,\mathrm{as}\,\,n\rightarrow\infty

Equivalently, for every ε>0\varepsilon>0 there exists N∈N,N\in\mathbb{N}, depending on ε\varepsilon alone, such that ∣fn(x)−f(x)∣≤ε\lvert f_n(x)-f(x)\rvert\leq\varepsilon for all n≥Nn\geq N and all x∈X.x\in X. Uniform convergence implies pointwise convergence. The converse is false: fn(x)=xnf_n(x)=x^n converges pointwise on [0,1]\left[0,1\right] to the function that is 00 on [0,1)\left[0,1\right) and 11 at 1,1, but not uniformly, since sup⁡x∣fn(x)−f(x)∣=1\sup_x\lvert f_n(x)-f(x)\rvert=1 for every n.n.

Let X⊆RX\subseteq\mathbb{R} and fn:X→Rf_n:X\rightarrow\mathbb{R} be a sequence of functions. The uniform Cauchy criterion states that (fn)(f_n) converges uniformly to some function on XX if and only if

∀ε>0 ∃N∈N:sup⁡x∈X∣fn(x)−fm(x)∣≤ε  ∀ m,n≥N.\forall\varepsilon>0\,\exists N\in\mathbb{N}:\sup_{x\in X}\lvert f_n(x)-f_m(x)\rvert\leq\varepsilon\,\,\forall\,m,n\geq N.

Let X⊆RX\subseteq\mathbb{R} and fn:X→Rf_n:X\rightarrow\mathbb{R} be a sequence of functions. The series of functions ∑n=1∞fn\sum_{n=1}^{\infty} f_n is the sequence of partial sums SN=∑n=1Nfn.S_N=\sum_{n=1}^{N} f_n. The series of functions converges pointwise or uniformly on XX if and only if its sequence of partial sums does.

Let X⊆RX\subseteq\mathbb{R} and ∑n=1∞fn\sum_{n=1}^{\infty} f_n be a series of functions on X.X. The Weierstrass M-test states that if there are constants Mn≥0M_n\geq 0 with ∣fn(x)∣≤Mn\lvert f_n(x)\rvert\leq M_n for all x∈Xx\in X and ∑n=1∞Mn\sum_{n=1}^{\infty} M_n converges then ∑n=1∞fn\sum_{n=1}^{\infty} f_n converges absolutely at every x∈Xx\in X and uniformly on X.X. By comparison with ∑n=0∞∣an∣rn,\sum_{n=0}^{\infty}\lvert a_n\rvert r^n, a power series with radius of convergence RR converges uniformly on every closed interval [c−r,c+r]\left[c-r,c+r\right] with 0≤r<R.0\leq r<R. A power series need not converge uniformly on (c−R,c+R):\left(c-R,c+R\right): the partial sums of the geometric series are bounded on (−1,1)\left(-1,1\right) whereas its sum is not.

A complex number is an ordered pair z=(a,b)z=\left(a,b\right) of real numbers, written z=a+ib.z=a+ib. The real part of zz is a=Re z,a=\mathrm{Re}\,z, the imaginary part of zz is b=Im zb=\mathrm{Im}\,z and the imaginary unit is i=0+1i.i=0+1i. The set of complex numbers is C.\mathbb{C}. Addition and multiplication of complex numbers are defined by

(a+ib)+(c+id):=(a+c)+i(b+d),(a+ib)(c+id):=(ac−bd)+i(ad+bc),\left(a+ib\right)+\left(c+id\right):=\left(a+c\right)+i\left(b+d\right),\qquad\left(a+ib\right)\left(c+id\right):=\left(ac-bd\right)+i\left(ad+bc\right),

so that i2=−1.i^2=-1. With these operations C\mathbb{C} is a field that contains R\mathbb{R} as the complex numbers with imaginary part 0.0.

Let z=a+ib∈C.z=a+ib\in\mathbb{C}. The complex conjugate of zz is z‾:=a−ib.\overline{z}:=a-ib. The modulus of zz is ∣z∣:=a2+b2=z z‾,\lvert z\rvert:=\sqrt{a^2+b^2}=\sqrt{z\,\overline{z}}, which agrees with the absolute value when z∈R.z\in\mathbb{R}. The modulus has the following properties for z,w∈C:z,w\in\mathbb{C}:

∣z w∣=∣z∣∣w∣,∣z+w∣≤∣z∣+∣w∣,∣Re z∣,∣Im z∣≤∣z∣≤∣Re z∣+∣Im z∣\lvert z\,w\rvert=\lvert z\rvert\lvert w\rvert,\qquad\lvert z+w\rvert\leq\lvert z\rvert+\lvert w\rvert,\qquad\lvert\mathrm{Re}\,z\rvert,\lvert\mathrm{Im}\,z\rvert\leq\lvert z\rvert\leq\lvert\mathrm{Re}\,z\rvert+\lvert\mathrm{Im}\,z\rvert

No ordering of C\mathbb{C} is compatible with its field operations, so inequalities between complex numbers are inequalities between their moduli.

Let (zn)\left(z_n\right) be a sequence of complex numbers and z∈C.z\in\mathbb{C}. The sequence (zn)\left(z_n\right) converges to zz if and only if ∣zn−z∣→0.\lvert z_n-z\rvert\rightarrow 0. By the last inequality above, zn→zz_n\rightarrow z if and only if Re zn→Re z\mathrm{Re}\,z_n\rightarrow\mathrm{Re}\,z and Im zn→Im z.\mathrm{Im}\,z_n\rightarrow\mathrm{Im}\,z. 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∈Cc\in\mathbb{C} and (an)(a_n) be a sequence of complex numbers indexed from 0.0. The complex power series centred at cc with coefficients (an)(a_n) is the function of z∈Cz\in\mathbb{C} given by ∑n=0∞an(z−c)n\sum_{n=0}^{\infty} a_n\left(z-c\right)^n wherever this series converges. A complex power series has a radius of convergence RR given by the same formula as a real power series. The disc of convergence is the set {z∈C:∣z−c∣<R},\left\{z\in\mathbb{C}:\lvert z-c\rvert<R\right\}, on which the series converges absolutely, and the series diverges for ∣z−c∣>R.\lvert z-c\rvert>R.

The exponential series converges absolutely for every z∈C.z\in\mathbb{C}. The exponential function exp⁡:C→C\exp:\mathbb{C}\rightarrow\mathbb{C} is the function defined by the exponential series. The exponential function has the following properties, of which the first is the exponential law:

exp⁡(z+w)=exp⁡(z)exp⁡(w),exp⁡(0)=1,exp⁡(−z)=1exp⁡(z)≠0,exp⁡(z‾)=exp⁡(z)‾\exp\left(z+w\right)=\exp\left(z\right)\exp\left(w\right),\qquad\exp\left(0\right)=1,\qquad\exp\left(-z\right)=\frac{1}{\exp\left(z\right)}\neq 0,\qquad\exp\left(\overline{z}\right)=\overline{\exp\left(z\right)}

The exponential law follows from multiplying two exponential series and rearranging the absolutely convergent result. For real xx the exponential function is real with exp⁡(x)>0,\exp\left(x\right)>0, it is injective on R\mathbb{R} with image (0,∞)\left(0,\infty\right) and exp⁡(x)≥1+x.\exp\left(x\right)\geq 1+x.

The natural logarithm log⁡e:(0,∞)→R\log_e:\left(0,\infty\right)\rightarrow\mathbb{R} is the inverse function of the exponential function on R.\mathbb{R}. The natural logarithm satisfies log⁡e(xy)=log⁡ex+log⁡ey\log_e\left(xy\right)=\log_e x+\log_e y and log⁡e1=0.\log_e 1=0.

Euler’s number is the value of the exponential function at 1.1.

e:=exp⁡(1)=∑n=0∞1n!≈2.71828e:=\exp\left(1\right)=\sum_{n=0}^{\infty}\frac{1}{n!}\approx 2.71828

By the exponential law exp⁡(pq)=epq\exp\left(\frac{p}{q}\right)=e^{\frac{p}{q}} for every rational exponent, so ez:=exp⁡(z)e^z:=\exp\left(z\right) is written for every z∈C.z\in\mathbb{C}.

Let a>0a>0 and x∈R.x\in\mathbb{R}. The real power axa^x is the exponential of xx times the natural logarithm of a.a.

ax:=exp⁡(xlog⁡ea)a^x:=\exp\left(x\log_e a\right)

The real power extends the rational powers of a.a.

Let t∈R.t\in\mathbb{R}. The cosine and sine of tt are the sums of the even and odd parts of the exponential series with alternating signs, which converge absolutely for every t.t.

cos⁡t:=∑n=0∞(−1)nt2n(2n)!,sin⁡t:=∑n=0∞(−1)nt2n+1(2n+1)!\cos t:=\sum_{n=0}^{\infty}\frac{\left(-1\right)^n t^{2n}}{\left(2n\right)!},\qquad\sin t:=\sum_{n=0}^{\infty}\frac{\left(-1\right)^n t^{2n+1}}{\left(2n+1\right)!}

Let t∈R.t\in\mathbb{R}. Euler’s formula states that the exponential of itit is the complex number with real part cos⁡t\cos t and imaginary part sin⁡t.\sin t.

eit=cos⁡t+isin⁡te^{it}=\cos t+i\sin t

Euler’s formula follows from splitting exp⁡(it)\exp\left(it\right) into its even and odd terms and using i2n=(−1)n.i^{2n}=\left(-1\right)^n. Consequently cos⁡t=Re eit=eit+e−it2\cos t=\mathrm{Re}\,e^{it}=\frac{e^{it}+e^{-it}}{2} and sin⁡t=Im eit=eit−e−it2i,\sin t=\mathrm{Im}\,e^{it}=\frac{e^{it}-e^{-it}}{2i}, so cos⁡(−t)=cos⁡t\cos\left(-t\right)=\cos t and sin⁡(−t)=−sin⁡t.\sin\left(-t\right)=-\sin t. The exponential law gives the following identities for s,t∈Rs,t\in\mathbb{R} and n∈N:n\in\mathbb{N}:

cos⁡2t+sin⁡2t=∣eit∣2=1\cos^2 t+\sin^2 t=\left\lvert e^{it}\right\rvert^2=1 cos⁡(s+t)=cos⁡scos⁡t−sin⁡ssin⁡t,sin⁡(s+t)=sin⁡scos⁡t+cos⁡ssin⁡t\cos\left(s+t\right)=\cos s\cos t-\sin s\sin t,\qquad\sin\left(s+t\right)=\sin s\cos t+\cos s\sin t (cos⁡t+isin⁡t)n=cos⁡nt+isin⁡nt\left(\cos t+i\sin t\right)^n=\cos nt+i\sin nt

The last identity is de Moivre’s formula.

Let t∈Rt\in\mathbb{R} with cos⁡t≠0.\cos t\neq 0. The tangent of tt is the quotient of the sine and the cosine.

tan⁡t:=sin⁡tcos⁡t\tan t:=\frac{\sin t}{\cos t}

The cosine has a smallest positive zero. The number π≈3.14159\pi\approx 3.14159 is twice that zero, so that cos⁡π2=0\cos\frac{\pi}{2}=0 and sin⁡π2=1.\sin\frac{\pi}{2}=1. Euler’s formula then gives eiπ2=i,e^{\frac{i\pi}{2}}=i, eiπ=−1e^{i\pi}=-1 and e2πi=1,e^{2\pi i}=1, so by the exponential law

exp⁡(z+2πi)=exp⁡(z)  ∀ z∈C.\exp\left(z+2\pi i\right)=\exp\left(z\right)\,\,\forall\,z\in\mathbb{C}.

Let f:R→Rf:\mathbb{R}\rightarrow\mathbb{R} be a function and T>0.T>0. The function ff is periodic with period TT if and only if f(t+T)=f(t)f\left(t+T\right)=f\left(t\right) for all t∈R.t\in\mathbb{R}. The cosine and sine are periodic with period 2π.2\pi.

The unit circle is the set {z∈C:∣z∣=1}.\left\{z\in\mathbb{C}:\lvert z\rvert=1\right\}. The function t↦eitt\mapsto e^{it} is a bijection from [0,2π)\left[0,2\pi\right) onto the unit circle.

Let z∈Cz\in\mathbb{C} be non-zero. The polar form of zz is the unique expression of zz as its modulus times a point of the unit circle.

z=∣z∣eiθ=∣z∣(cos⁡θ+isin⁡θ),θ∈[0,2π)z=\lvert z\rvert e^{i\theta}=\lvert z\rvert\left(\cos\theta+i\sin\theta\right),\qquad\theta\in\left[0,2\pi\right)

The number θ\theta is the argument of z.z. In polar form, multiplication multiplies moduli and adds arguments.

Let n≥1.n\geq 1. The roots of unity of order nn are the nn zeros e2πikn,e^{\frac{2\pi ik}{n}}, k=0,…,n−1,k=0,\ldots,n-1, of the complex polynomial zn−1.z^n-1.