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In mathematics, the
exponential function The exponential function is a mathematical function denoted by f(x)=\exp(x) or e^x (where the argument is written as an exponent). Unless otherwise specified, the term generally refers to the positive-valued function of a real variable, ...
can be characterized in many ways. The following characterizations (definitions) are most common. This article discusses why each characterization makes sense, and why the characterizations are independent of and equivalent to each other. As a special case of these considerations, it will be demonstrated that the three most common definitions given for the mathematical constant ''e'' are equivalent to each other.


Characterizations

The six most common definitions of the exponential function for real are: # Define by the
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e^x = \lim_ \left(1+\frac x n \right)^n. # Define as the value of the infinite series e^x = \sum_^\infty = 1 + x + \frac + \frac + \frac + \cdots (Here denotes the
factorial In mathematics, the factorial of a non-negative denoted is the product of all positive integers less than or equal The factorial also equals the product of n with the next smaller factorial: \begin n! &= n \times (n-1) \times (n-2) ...
of . One proof that is irrational uses a special case of this formula.) # Define to be the unique number such that \int_1^y \frac = x. This is as the inverse of the
natural logarithm The natural logarithm of a number is its logarithm to the base of the mathematical constant , which is an irrational and transcendental number approximately equal to . The natural logarithm of is generally written as , , or sometimes, if ...
function, which is defined by this integral. # Define to be the unique solution to the initial value problem y' = y,\quad y(0) = 1. (Here, denotes the
derivative In mathematics, the derivative of a function of a real variable measures the sensitivity to change of the function value (output value) with respect to a change in its argument (input value). Derivatives are a fundamental tool of calculus. ...
of .) # The exponential function is the unique function with and for all and that satisfies any one of the following additional conditions: For the uniqueness, one must impose ''some'' additional condition like those above, since otherwise other functions can be constructed using a basis for the real numbers over the rationals, as described by Hewitt and Stromberg. One could also replace and the "additional condition" with the single condition . # Let be the unique positive real number satisfying \lim_ \frac = 1. This limit can be shown to exist. Then define to be the exponential function with this base. This definition is particularly suited to computing the derivative of the exponential function.


Larger domains

One way of defining the exponential function for domains larger than the domain of real numbers is to first define it for the domain of real numbers using one of the above characterizations and then extend it to larger domains in a way which would work for any
analytic function In mathematics, an analytic function is a function that is locally given by a convergent power series. There exist both real analytic functions and complex analytic functions. Functions of each type are infinitely differentiable, but complex ...
. It is also possible to use the characterisations directly for the larger domain, though some problems may arise. (1), (2), and (4) all make sense for arbitrary Banach algebras. (3) presents a problem for complex numbers, because there are non-equivalent paths along which one could integrate, and (5) is not sufficient. For example, the function ''f'' defined (for ''x'' and ''y'' real) as f(x + iy) = e^x(\cos(2y) + i\sin(2y)) = e^ satisfies the conditions in (5) without being the exponential function of . To make (5) sufficient for the domain of complex numbers, one may either stipulate that there exists a point at which ''f'' is a
conformal map In mathematics, a conformal map is a function that locally preserves angles, but not necessarily lengths. More formally, let U and V be open subsets of \mathbb^n. A function f:U\to V is called conformal (or angle-preserving) at a point u_0\in ...
or else stipulate that f(i) = \cos(1) + i\sin(1). In particular, the alternate condition in (5) that f'(0) = 1 is sufficient since it implicitly stipulates that be conformal.


Proof that each characterization makes sense

Some of these definitions require justification to demonstrate that they are
well-defined In mathematics, a well-defined expression or unambiguous expression is an expression whose definition assigns it a unique interpretation or value. Otherwise, the expression is said to be ''not well defined'', ill defined or ''ambiguous''. A fun ...
. For example, when the value of the function is defined as the result of a limiting process (i.e. an infinite sequence or series), it must be demonstrated that such a limit always exists.


Characterization 2

Since \lim_ \left, \frac\ = \lim_ \left, \frac\ = 0 < 1. it follows from the ratio test that \sum_^\infty \frac converges for all ''x''.


Characterization 3

Since the integrand is an integrable function of , the integral expression is well-defined. It must be shown that the function from \mathbb^+ to \mathbb defined by x \mapsto \int_1^x \frac is a bijection. Since is positive for positive , this function is
strictly increasing In mathematics, a monotonic function (or monotone function) is a function between ordered sets that preserves or reverses the given order. This concept first arose in calculus, and was later generalized to the more abstract setting of order ...
, hence injective. If the two integrals \begin \int_1^\infty \frac t & = \infty \\ pt\int_1^0 \frac t & = -\infty \end hold, then it is surjective as well. Indeed, these integrals ''do'' hold; they follow from the integral test and the divergence of the harmonic series.


Equivalence of the characterizations

The following proof demonstrates the equivalence of the first three characterizations given for ''e'' above. The proof consists of two parts. First, the equivalence of characterizations 1 and 2 is established, and then the equivalence of characterizations 1 and 3 is established. Arguments linking the other characterizations are also given.


Characterization 1 ⇔ characterization 2

The following argument is adapted from a proof in Rudin, theorem 3.31, p. 63–65. Let x \geq 0 be a fixed non-negative real number. Define s_n = \sum_^n\frac,\ t_n=\left(1+\frac x n \right)^n. By the binomial theorem, \begin t_n & =\sum_^n\frac=1+x+\sum_^n\frac \\ pt& = 1+x+\frac\left(1-\frac\right)+\frac\left(1-\frac\right)\left(1-\frac\right)+\cdots \\ pt& \qquad \cdots +\frac\left(1-\frac\right)\cdots\left(1-\frac\right)\le s_n \end (using ''x'' ≥ 0 to obtain the final inequality) so that \limsup_t_n \le \limsup_s_n = e^x where ''e''''x'' is in the sense of definition 2. Here, limsups must be used, because it is not known if ''t''''n'' converges. For the other direction, by the above expression of ''t''''n'', if 2 ≤ ''m'' ≤ ''n'', 1+x+\frac\left(1-\frac\right)+\cdots+\frac\left(1-\frac\right)\left(1-\frac\right)\cdots\left(1-\frac\right)\le t_n. Fix ''m'', and let ''n'' approach infinity. Then s_m = 1+x+\frac+\cdots+\frac \le \liminf_t_n (again, liminf's must be used because it is not known if ''t''''n'' converges). Now, taking the above inequality, letting ''m'' approach infinity, and putting it together with the other inequality, this becomes \limsup_t_n \le e^x \le \liminf_t_n so that \lim_t_n = e^x. This equivalence can be extended to the negative real numbers by noting \left(1 - \frac r n \right)^n \left(1+\frac\right)^n = \left(1-\frac\right)^n and taking the limit as n goes to infinity. The error term of this limit-expression is described by \left(1+\frac x n \right)^n=e^x \left(1-\frac+\frac+\cdots \right), where the polynomial's degree (in ''x'') in the term with denominator ''n''''k'' is 2''k''.


Characterization 1 ⇔ characterization 3

Here, the
natural logarithm The natural logarithm of a number is its logarithm to the base of the mathematical constant , which is an irrational and transcendental number approximately equal to . The natural logarithm of is generally written as , , or sometimes, if ...
function is defined in terms of a definite integral as above. By the first part of
fundamental theorem of calculus The fundamental theorem of calculus is a theorem that links the concept of differentiating a function (calculating its slopes, or rate of change at each time) with the concept of integrating a function (calculating the area under its graph, ...
, \frac d \ln x=\frac \int_1^x \frac1 t \,dt = \frac 1 x. Besides, \ln 1 = \int_1^1 \frac = 0 Now, let ''x'' be any fixed real number, and let y=\lim_\left(1+\frac\right)^n. , which implies that , where is in the sense of definition 3. We have \ln y=\ln\lim_\left(1+\frac \right)^n = \lim_ \ln\left(1+\frac\right)^n. Here, the continuity of ln(''y'') is used, which follows from the continuity of 1/''t'': \ln y=\lim_n\ln \left(1+\frac \right) = \lim_ \frac. Here, the result ln''a''''n'' = ''n''ln''a'' has been used. This result can be established for ''n'' a natural number by induction, or using integration by substitution. (The extension to real powers must wait until ''ln'' and ''exp'' have been established as inverses of each other, so that ''a''''b'' can be defined for real ''b'' as ''e''''b'' ln''a''.) =x\cdot\lim_\frac \quad \text h = \frac =x\cdot\lim_\frac =x\cdot\frac \ln t \Bigg, _ \!\, = x.


Characterization 1 ⇔ characterization 5

The following proof is a simplified version of the one in Hewitt and Stromberg, exercise 18.46. First, one proves that measurability (or here, Lebesgue-integrability) implies continuity for a non-zero function f(x) satisfying f(x+y)=f(x)f(y), and then one proves that continuity implies f(x) = e^ for some ''k'', and finally f(1) = e implies . First, a few elementary properties from f(x) satisfying f(x+y)=f(x)f(y) are proven, and the assumption that f(x) is not identically zero: * If f(x) is nonzero anywhere (say at ''x''=''y''), then it is non-zero everywhere. Proof: f(y) = f(x) f(y - x) \neq 0 implies f(x) \neq 0. * f(0)=1. Proof: f(x)= f(x+0) = f(x) f(0) and f(x) is non-zero. * f(-x)=1/f(x). Proof: 1 = f(0)= f(x-x) = f(x) f(-x). * If f(x) is continuous anywhere (say at ''x'' = ''y''), then it is continuous everywhere. Proof: f(x+\delta) - f(x) = f(x-y) f(y+\delta) - f(y)\to 0 as \delta \to 0 by continuity at ''y''. The second and third properties mean that it is sufficient to prove f(x)=e^x for positive ''x''. If f(x) is a
Lebesgue-integrable function In mathematics, the integral of a non-negative function of a single variable can be regarded, in the simplest case, as the area between the graph of that function and the -axis. The Lebesgue integral, named after French mathematician Henri ...
, then g(x) = \int_0^x f(x')\, dx'. It then follows that g(x+y)-g(x) = \int_x^ f(x')\, dx' = \int_0^y f(x+x')\, dx' = f(x) g(y). Since f(x) is nonzero, some can be chosen such that g(y) \neq 0 and solve for f(x) in the above expression. Therefore: \begin f(x+\delta)-f(x) & = \frac \\ & =\frac \\ & =\frac=g(\delta)\frac. \end The final expression must go to zero as \delta \to 0 since g(0)=0 and g(x) is continuous. It follows that f(x) is continuous. Now, f(q) = e^ can be proven, for some ''k'', for all positive rational numbers ''q''. Let ''q''=''n''/''m'' for positive integers ''n'' and ''m''. Then f\left(\frac\right)=f\left(\frac+\cdots+\frac \right)=f\left(\frac\right)^n by elementary induction on ''n''. Therefore, f(1/m)^m = f(1) and thus f\left(\frac\right)=f(1)^=e^. for k = \ln (1)/math>. If restricted to real-valued f(x), then f(x) = f(x/2)^2 is everywhere positive and so ''k'' is real. Finally, by continuity, since f(x) = e^ for all rational ''x'', it must be true for all real ''x'' since the closure of the rationals is the reals (that is, any real ''x'' can be written as the limit of a sequence of rationals). If f(1) = e then ''k'' = 1. This is equivalent to characterization 1 (or 2, or 3), depending on which equivalent definition of e one uses.


Characterization 2 ⇔ characterization 4

Let n be a non-negative integer. In the sense of definition 4 and by induction, \frac=y. Therefore \frac\Bigg, _=y(0)=1. Using Taylor series, y= \sum_^\infty \frac \, x^n = \sum_^\infty \frac \, x^n = \sum_^\infty \frac . This shows that definition 4 implies definition 2. In the sense of definition 2, \begin \frace^x & = \frac \left(1+\sum_^\infty \frac \right) = \sum_^\infty \frac =\sum_^\infty \frac \\ pt& =\sum_^\infty \frac , \text k=n-1 \\ pt& =e^x \end Besides, e^0 = 1 + 0 + \frac + \frac + \cdots = 1. This shows that definition 2 implies definition 4.


Characterization 2 ⇒ characterization 6

In the sense of definition 2, \begin \lim_ \frac & =\lim_ \frac \left (\left (1+h+ \frac+\frac+\frac+\cdots \right) -1 \right) \\ & =\lim_ \left(1+ \frac+\frac+\frac+\cdots \right) \\ & =1 \end


Characterization 3 ⇔ characterization 4

Characterisation 3 involves defining the natural logarithm before the exponential function is defined. First, \log x := \int_^ \frac This means that the natural logarithm of x equals the (signed) area under the graph of 1/t between t = 1 and t=x. If x<1, then this area is taken to be negative. Then, \exp is defined as the inverse of \log, meaning that \exp(\log(x))=x \text \log(\exp(x))=x by the definition of an inverse function. If a is a positive real number then a^x is defined as \exp(x\log(a)). Finally, e is defined as the number a such that \log(a)=1. It can then be shown that e^x=\exp(x): e^x=\exp(x\log(e))=\exp(x) By the
fundamental theorem of calculus The fundamental theorem of calculus is a theorem that links the concept of differentiating a function (calculating its slopes, or rate of change at each time) with the concept of integrating a function (calculating the area under its graph, ...
, the derivative of \log x = \frac. We are now in a position to prove that \frac e^x=e^x, satisfying the first part of the initial value problem given in characterisation 4: \begin \texty&=e^x=\exp(x) \\ \log(y)&=\log(\exp(x))=x \\ \frac\frac&=1 \\ \frac&=y=e^x \end Then, we merely have to note that e^0=\exp(0)=1, and we are done. Of course, it is much easier to show that characterisation 4 implies characterisation 3. If e^x is the unique function f:\mathbb\to\mathbb satisfying f'(x)=e^x, and f(0)=1, then \log can be defined as its inverse. The derivative of \log can be found in the following way: y = \log x \implies x=e^y If we differentiate both sides with respect to y, we get \begin \frac &= e^y \\ \frac &= \frac = \frac \end Therefore, \int_^\fracdt=\left log t\right^ = \log x - \log 1 = \log x - 0 = \log x


Characterization 5 ⇒ characterization 4

The conditions and imply both conditions in characterization 4. Indeed, one gets the initial condition by dividing both sides of the equation f(0) = f(0 + 0) = f(0) f(0) by , and the condition that follows from the condition that and the definition of the derivative as follows: \begin f'(x) & = & \lim\limits_\frac h & = & \lim\limits_\frac h & = & \lim\limits_f(x)\frac h \\ em & = & f(x)\lim\limits_\frac h & = & f(x)\lim\limits_\frac h & = & f(x)f'(0) = f(x). \end


Characterization 6 ⇒ characterization 4

In the sense of definition 6, \frace^x = \lim_ \frac = e^x \cdot \lim_\frac = e^x. By the way e^0=1, therefore definition 6 implies definition 4.


References

{{Reflist * Walter Rudin, ''Principles of Mathematical Analysis'', 3rd edition (McGraw–Hill, 1976), chapter 8. * Edwin Hewitt and Karl Stromberg, ''Real and Abstract Analysis'' (Springer, 1965). Mathematical analysis Exponentials
Exponential function The exponential function is a mathematical function denoted by f(x)=\exp(x) or e^x (where the argument is written as an exponent). Unless otherwise specified, the term generally refers to the positive-valued function of a real variable, ...
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