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The Exponential Function
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Binary Operations, Monoids, Groups and Subgroups
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Countability and Uncountability
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Order, Zorn's Lemma, and the Axiom of Choice
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Relations, Functions, and Quotients
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Suprema and Infima
- The Derivative and the Mean Value Theorems
- The Riemann Integral: Definition and Integrability
- The ZFC Axioms and the Basic Set Constructions
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
2 · Summary
Real power-series theory supplies convergence radii, compact-uniform convergence, termwise differentiation, and Cauchy products. Factorials, binomial coefficients, finite sums, and the Archimedean property provide the arithmetic needed to define and manipulate the exponential series over the real numbers.
The power series defines the exponential function and yields its addition law, positivity, derivative, monotonicity, limits, and range. Product limits, the normalized differential equation, the multiplicative functional equation, and Picard iteration are then identified with the same function. Factorial tail estimates give explicit bounds for and establish its irrationality, completing the comparison of these constructions without logarithms or arbitrary real powers.
3 · Logical flowchart
4 · Definitions, theorems and proofs
The real exponential function and the number by a power series
Definition
For , define provided by the all-real convergence proved in The exponential series converges absolutely for every real argument ↗. Here is the factorial of The factorial and the falling factorial , defined by recursion in , is its nonzero real image (The canonical natural of a field, Canonical naturals are positive and strictly increasing), and powers and series are those of Integer powers and Series, partial sums, convergence and the sum, divergence, and the tail series.
This is a real power series centred at (A real power series about a centre, its interval of convergence, and its radius in ). No logarithm, irrational power, or differential equation enters the definition.
The exponential series converges absolutely for every real argument
Statement
For every real , the series converges absolutely. Its power-series radius is therefore .
Facts & Assumptions
Given: A real .
Archimedes supplies a natural larger than any prescribed real (Every complete ordered field is Archimedean).
A tail bounded termwise by a convergent geometric series converges (If eventually, convergence of gives convergence of , and divergence of gives divergence of , For , , and for the series diverges), and absolute convergence implies convergence (If converges then converges).
Factorials satisfy and are nonzero naturals; every positive natural has a positive, hence nonzero, canonical real image (The factorial and the falling factorial , defined by recursion in , The canonical natural of a field, Canonical naturals are positive and strictly increasing).
Proof
If , the series is and converges absolutely. Hence assume . Choose with . For , the absolute terms are positive and satisfy .
Thus by induction, and the tail is dominated by a convergent geometric series.
The zero case from step 1.1 and, when , adding the finite initial segment to the convergent tail prove absolute convergence for arbitrary . Hence every nonnegative radius works and the radius is .
The exponential addition formula
Statement
For all real ,
Facts & Assumptions
Given: .
For fixed , the auxiliary power series and have infinite radius by The exponential series converges absolutely for every real argument. Inside their common radius, their product is the Cauchy product of their coefficients (Inside the common radius the product of two power-series sums is represented by the Cauchy product of their coefficients).
The binomial theorem says (The binomial theorem in : , The set of -element subsets and the binomial coefficient ).
For , ( for ; hence , the quotient is a natural number, and ). Therefore , with all naturals read in through The canonical natural of a field.
Proof
Apply [L1] at the auxiliary value . The coefficient of degree in the resulting Cauchy product for is .
Apply [L3] and [L2] to identify this finite sum with .
Summing over gives the exponential series at , hence the formula.
The exponential is positive and satisfies
Statement
For every real , and
Facts & Assumptions
Given: .
Every nonzero square in an ordered field is positive (Squares of nonzero elements are positive).
Proof
Setting in [L1] gives , so both factors are nonzero.
Also , so it is nonnegative; by step 1.1 and [L2] it is positive.
Dividing the identity in step 1.1 by gives the reciprocal formula.
The exponential function is smooth and
Statement
The real exponential function is , and for every , In particular .
Facts & Assumptions
Given: The exponential power series.
A real power series may be differentiated termwise inside its radius (Inside its radius a real power series may be differentiated term by term, and the differentiated series has the same radius), and its sum is smooth there (A power-series sum is infinitely differentiable inside its radius and satisfies at its centre).
The radius is infinite, , and the canonical embedding preserves products and sends positive naturals to nonzero reals (The exponential series converges absolutely for every real argument, The factorial and the falling factorial , defined by recursion in , The canonical natural of a field, Canonical naturals are positive and strictly increasing).
Proof
Termwise differentiation gives .
Reindex and cancel using the factorial recurrence. The series becomes .
Smoothness follows from [L1] and the infinite radius; iterating step 2.1 gives every higher derivative.
The exponential function is strictly increasing
Statement
The exponential function is continuous and strictly increasing on .
Facts & Assumptions
Given: The exponential function.
Its derivative equals itself (The exponential function is smooth and ) and it is everywhere positive (The exponential is positive and satisfies ).
The mean value theorem applies to a continuous function on a closed interval and converts a positive interior derivative into strict increase (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ). A power-series sum is continuous at every point strictly inside its convergence interval, and the exponential series has infinite radius (The sum of a real power series is continuous at every point strictly inside its interval of convergence, The exponential series converges absolutely for every real argument).
Proof
If , the mean value theorem gives for some .
Both factors on the right are positive, so . Continuity is the cited power-series conclusion.
The exponential tends to at and to at
Statement
and the range of is contained in and is unbounded above with infimum .
Facts & Assumptions
Given: The exponential series.
For , every exponential-series term is nonnegative, so its sum dominates every partial sum and in particular (The real exponential function and the number by a power series, A series of nonnegative terms converges iff its partial sums are bounded, and then the sum is their supremum).
Finite and infinite limits of functions at infinity have the quantified definitions in Limits at and , and infinite limits at a point.
Proof
Given a real , every satisfies . Hence .
Given , choose with . If , then , so [L1] gives ; [L2] yields .
The range assertions follow from positivity and the two limit conclusions.
The exponential is a continuous bijection from onto
Statement
is a bijection.
Facts & Assumptions
Given: The real exponential function.
It is strictly increasing (The exponential function is strictly increasing) and continuous (The sum of a real power series is continuous at every point strictly inside its interval of convergence).
Its values are positive, and its limits at the two ends are and (The exponential tends to at and to at ).
A continuous function on an interval takes every intermediate value (Intermediate value theorem, by bisection with a canonical left-half rule: a continuous function on takes every value between and ).
Proof
Strict increase gives injectivity.
Given , [L2] provides with . Applying [L3] on gives with .
Positivity gives the stated codomain, and steps 1.1 and 1.2 give bijectivity.
The exponential dominates every fixed nonnegative integer power at
Statement
For every and every real ,
Facts & Assumptions
Given: and .
Every term of the exponential series is nonnegative at a nonnegative argument (The real exponential function and the number by a power series).
The exponential reciprocal identity is The exponential is positive and satisfies , and limits at infinity are Limits at and , and infinite limits at a point.
Proof
For , retain term of the series at : .
Hence .
The upper bound tends to , so the quotient tends to .
The exponential is the unique solution of with
Statement
If is differentiable, , and , then .
Facts & Assumptions
Given: A differentiable solution of the initial-value problem.
, , and the series definition gives (The exponential function is smooth and , The exponential is positive and satisfies , The real exponential function and the number by a power series).
Differentiability implies continuity, and a continuous function with zero derivative on an interval is constant (A function differentiable at is continuous at , A function continuous on an interval whose derivative vanishes at every interior point of is constant on ; consequently two such functions with the same derivative differ by a constant).
Proof
Define . By [L1] and [L2], .
The differentiable function is continuous, so [L3] makes it constant; .
Thus , and multiplying by gives .
Regular normalized multiplicative Cauchy equations characterize the exponential
Statement
The exponential function is the unique continuous satisfying and . It is also the unique function differentiable at satisfying the functional equation, , and .
Facts & Assumptions
Given: A function satisfying one of the two normalizations.
The exponential satisfies , is continuous and positive, obeys , , and , and is the unique normalized solution of (The exponential addition formula , The exponential function is strictly increasing, The exponential is positive and satisfies , The real exponential function and the number by a power series, The exponential function is smooth and , The exponential is the unique solution of with ).
Positive -th roots exist uniquely (Existence and uniqueness of -th roots: a unique with ), rational powers are Rational powers of a positive base, and rationals are dense (The rationals embed densely in the reals).
Proof
Under continuity and , the equation gives , , and uniqueness of positive roots gives for rationals . Density and continuity then give for every real .
Under differentiability at , , so . With , [L1] gives .
The exponential itself satisfies both normalizations, so both uniqueness assertions follow.
For fixed , tends to
Statement
For each fixed , where the expression is read for . For every such , one also has the uniform bound
Facts & Assumptions
Given: A fixed .
For , ( for ; hence , the quotient is a natural number, and , The factorial and the falling factorial , defined by recursion in ), and the canonical embedding preserves the products involved (The canonical natural of a field).
Finite products and sums obey Finite sums and finite products, by recursion and Laws of finite sums and finite products, limits obey Algebra of limits: sums, scalar multiples, products and quotients, and (For every in a complete ordered field there is a natural with ). Canonical naturals are positive and strictly increasing (Canonical naturals are positive and strictly increasing), while multiplication by a positive real preserves order (Sign rules for products and monotonicity of multiplication, Ordered field).
Proof
For , .
For , strict increase and positivity give , so every factor in step 1.1 lies in . Thus the finite product lies in , proving the displayed uniform bound.
For each of the finitely many , ; finite-product limit algebra makes the product in step 1.1 tend to . Multiplication by the fixed factor yields the limit.
For every real ,
Statement
For every real , with the sequence started after , so the base is positive.
Facts & Assumptions
Given: A real .
The binomial theorem expands the product. For fixed , For fixed , tends to gives both convergence of the scaled coefficient to and, whenever , the bound (The binomial theorem in : ).
The exponential series converges absolutely (The exponential series converges absolutely for every real argument, The real exponential function and the number by a power series).
Proof
For , the binomial theorem gives .
Each fixed coefficient tends to , while the uniform bound in [L1] holds for every term present in the sum.
Given , choose so the absolute exponential tail after is below using [L2]. The same coefficient bound controls the product tail uniformly in ; for the finite head , choose so all coefficient errors sum to below .
The triangle inequality then makes the product differ from by less than .
Picard iteration from produces the exponential partial sums
Statement
Define and . Then and uniformly on every bounded interval. Moreover, and differentiating this integral equation recovers and .
Facts & Assumptions
Given: The displayed recursion with the oriented integral of The integral with oriented limits: and .
For , the derivative of is (For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term), so the second fundamental theorem evaluates its oriented integral (The second fundamental theorem: if is differentiable on with and is integrable, then , The integral with oriented limits: and ); the integral is linear over finite sums (Integrable functions on form a set closed under sums and scalar multiples, and ), and the factorial recurrence is The factorial and the falling factorial , defined by recursion in .
The exponential series has infinite radius (The exponential series converges absolutely for every real argument, The real exponential function and the number by a power series), and a power series converges uniformly on compact subintervals of its interval of convergence (A power series converges absolutely and uniformly on every closed interval strictly inside its interval of convergence).
Polynomial functions are continuous (Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function); uniform limits of continuous real functions are continuous (The uniform limit of continuous real-valued functions on a metric space is continuous); continuous functions on compact intervals are integrable (A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion); uniform limits interchange with Riemann integration (A uniform limit of Riemann-integrable functions is Riemann integrable, and its integral is the limit of their integrals); and the first fundamental theorem differentiates an integral of a continuous function (The first fundamental theorem: if is integrable on and continuous at , then ; in particular a continuous has as a primitive).
Proof
At , , the stated finite sum.
If the formula holds at , integrate its finite sum termwise from to . By [L1], the integral of is , giving the formula at .
Hence the iterates are precisely the partial sums of the exponential series. Its infinite radius and [L2] give uniform convergence on every bounded interval.
Fix and work on the compact interval with endpoints and . The polynomial iterates are continuous and integrable there, and step 2.1 gives uniform convergence to . Thus [L3] lets the integrals in pass to the limit, giving , with the orientation supplied by The integral with oriented limits: and when .
Step 2.1 and [L3] make continuous. The first fundamental theorem applied to step 3.1 gives , and setting gives .
The power-series, product-limit, IVP, functional-equation, and Picard definitions agree
Statement
The following descriptions give the same function : the power series ; the product limit ; the normalized solution of ; the normalized continuous multiplicative function; and the compact-uniform limit of the Picard iterates.
Facts & Assumptions
Given: The five displayed constructions.
The series-defined exponential satisfies and , and the product, ODE-uniqueness, functional-equation, and Picard characterizations are The exponential function is smooth and , For every real , , The exponential is the unique solution of with , Regular normalized multiplicative Cauchy equations characterize the exponential, and Picard iteration from produces the exponential partial sums.
Proof
Each theorem in [L2] identifies its construction with the series-defined function in [L1], with exactly the normalization stated here.
Equality with a common function is transitive, so all five descriptions are equivalent.
A geometric bound for tails of the exponential series
Statement
If , , and , then
Facts & Assumptions
Given: with the stated inequality.
Factorials satisfy the recurrence; the canonical embedding preserves products and order and is strictly increasing on naturals (The factorial and the falling factorial , defined by recursion in , The canonical natural of a field, Canonical naturals are positive and strictly increasing).
A geometric tail of ratio sums to (For , , and for the series diverges).
Proof
For , strict increase gives , and the factorial recurrence gives that the ratio of consecutive absolute terms is .
Thus the -th term after is at most the first tail term times .
Sum the geometric majorant using [L2] to obtain the displayed bound.
The elementary numerical bound
Statement
Facts & Assumptions
The factorial tail bound is A geometric bound for tails of the exponential series.
Proof
The first three terms give .
The term at index is . Apply [L1] with : the tail from index onward is at most . Thus the whole tail after index is at most , and hence .
Combining the strict bounds gives the claim.
The number is irrational
Statement
The number is irrational.
Facts & Assumptions
Given: The series definition of (The real exponential function and the number by a power series).
Factorials are nonzero naturals and obey their recurrence. If , then , so divides (The factorial and the falling factorial , defined by recursion in , for ; hence , the quotient is a natural number, and ). Every positive natural has a positive, hence nonzero, canonical real image, and the canonical map preserves products (The canonical natural of a field, Canonical naturals are positive and strictly increasing).
The exponential factorial tail is bounded by A geometric bound for tails of the exponential series.
Every rational has an integer representative with positive denominator; every positive integer is the image of a unique natural . The embeddings are injective, preserve arithmetic and order, and the integers are closed under finite sums and differences (Every rational has a positive-denominator representative, The naturals embed in the integers, The integers embed in the rationals, The unique embedding of ℚ into an ordered field, The integers form a commutative ring).
Proof
Assume . By [L3], write in with and , , using the canonical embeddings. Choose a natural (Every complete ordered field is Archimedean).
Put . Every tail term is positive, so . Applying [L2] with and , then using the factorial recurrence, gives because .
The number from step 2.1 is an embedded integer. Indeed, for each , [L1] gives a natural with . Also for the natural with , and [L1] at gives ; hence for some natural . By [L3] and multiplicativity of the embeddings, where is the real image of the integer . Therefore is a difference of embedded integers and is itself an embedded integer.
Since the embedding preserves order, no embedded integer lies strictly between and , contradicting steps 3.1 and 2.1. Therefore .
The exponential roadmap and its circularity hazards
Remarks
The equivalence theorem The power-series, product-limit, IVP, functional-equation, and Picard definitions agree is an identification after independent proofs, not a list of mutually supporting definitions. The power series first defines ; the addition law is proved by an absolutely convergent Cauchy product; differentiation is then termwise. Only after those steps are the differential-equation and functional-equation characterizations invoked.
The bijection onto the positive reals (The exponential is a continuous bijection from onto ), polynomial domination (The exponential dominates every fixed nonnegative integer power at ), and irrationality of (The number is irrational) use no logarithm. Each result is therefore independent of an inverse function and of real exponentiation.
5 · Examples, counterexamples and false statements
None yet.
Sources
Standard references
Recommended treatments; not extraction sources.
- MIT OpenCourseWare 18.100B Real Analysis, Spring 2025 full lecture notes
- J. Lebl, Basic Analysis, Logarithm and Exponential
- J. K. Hunter, An Introduction to Real Analysis, Chapter 10
- S. G. Johnson, Exponential Functions
- J. Lebl, Basic Analysis, Analytic Functions
- MIT 18.102, Chapter 4 notes
- University of Pennsylvania MATH 3600, Section 34
- Y. Vorobets, Texas A&M MATH 409 Lecture 2-07
- R. Sedgewick and P. Flajolet, Analytic Combinatorics, Asymptotic Approximations
- J. Lebl, Basic Analysis, Picard's Theorem
- MIT Proofs in Analysis and Probability, Lecture 2 notes
- LSU MATH 7230, Homework 1
- University of Michigan MATH 295 notes