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In calculus, the integral of the secant function can be evaluated using a variety of methods and there are multiple ways of expressing the antiderivative, all of which can be shown to be equivalent via trigonometric identities,
This formula is useful for evaluating various trigonometric integrals. In particular, it can be used to evaluate the integral of the secant cubed, which, though seemingly special, comes up rather frequently in applications.[1]
The definite integral of the secant function starting from is the inverse Gudermannian function, For numerical applications, all of the above expressions result in loss of significance for some arguments. An alternative expression in terms of the inverse hyperbolic sine arsinh is numerically well behaved for real arguments :[2]
The integral of the secant function was historically one of the first integrals of its type ever evaluated, before most of the development of integral calculus. It is important because it is the vertical coordinate of the Mercator projection, used for marine navigation with constant compass bearing.
Three common expressions for the integral of the secant,
are equivalent because
Proof: we can separately apply the tangent half-angle substitution to each of the three forms, and show them equivalent to the same expression in terms of Under this substitution and
First,
Second,
Third, using the tangent addition identity
So all three expressions describe the same quantity.
The conventional solution for the Mercator projection ordinate may be written without the absolute value signs since the latitude lies between and ,
Let
Therefore,
The integral of the secant function was one of the "outstanding open problems of the mid-seventeenth century", solved in 1668 by James Gregory.[3] He applied his result to a problem concerning nautical tables.[1] In 1599, Edward Wright evaluated the integral by numerical methods – what today we would call Riemann sums.[4] He wanted the solution for the purposes of cartography – specifically for constructing an accurate Mercator projection.[3] In the 1640s, Henry Bond, a teacher of navigation, surveying, and other mathematical topics, compared Wright's numerically computed table of values of the integral of the secant with a table of logarithms of the tangent function, and consequently conjectured that[3]
This conjecture became widely known, and in 1665, Isaac Newton was aware of it.[5]
A standard method of evaluating the secant integral presented in various references involves multiplying the numerator and denominator by sec θ + tan θ and then using the substitution u = sec θ + tan θ. This substitution can be obtained from the derivatives of secant and tangent added together, which have secant as a common factor.[6]
Starting with
adding them gives
The derivative of the sum is thus equal to the sum multiplied by sec θ. This enables multiplying sec θ by sec θ + tan θ in the numerator and denominator and performing the following substitutions:
The integral is evaluated as follows:
as claimed. This was the formula discovered by James Gregory.[1]
Although Gregory proved the conjecture in 1668 in his Exercitationes Geometricae,[7] the proof was presented in a form that renders it nearly impossible for modern readers to comprehend; Isaac Barrow, in his Lectiones Geometricae of 1670,[8] gave the first "intelligible" proof, though even that was "couched in the geometric idiom of the day."[3] Barrow's proof of the result was the earliest use of partial fractions in integration.[3] Adapted to modern notation, Barrow's proof began as follows:
Substituting u = sin θ, du = cos θ dθ, reduces the integral to
Therefore,
as expected. Taking the absolute value is not necessary because and are always non-negative for real values of
Under the tangent half-angle substitution [9]
Therefore the integral of the secant function is
as before.
The integral can also be derived by using a somewhat non-standard version of the tangent half-angle substitution, which is simpler in the case of this particular integral, published in 2013,[10] is as follows:
Substituting:
The integral can also be solved by manipulating the integrand and substituting twice. Using the definition sec θ = 1/cos θ and the identity cos2 θ + sin2 θ = 1, the integral can be rewritten as
Substituting u = sin θ, du = cos θ dθ reduces the integral to
The reduced integral can be evaluated by substituting u = tanh t, du = sech2 t dt, and then using the identity 1 − tanh2 t = sech2 t.
The integral is now reduced to a simple integral, and back-substituting gives
which is one of the hyperbolic forms of the integral.
A similar strategy can be used to integrate the cosecant, hyperbolic secant, and hyperbolic cosecant functions.
It is also possible to find the other two hyperbolic forms directly, by again multiplying and dividing by a convenient term:
where stands for because Substituting u = tan θ, du = sec2 θ dθ, reduces to a standard integral:
where sgn is the sign function.
Likewise:
Substituting u = |sec θ|, du = |sec θ| tan θ dθ, reduces to a standard integral:
Under the substitution
So the integral can be solved as:
Because the constant of integration can be anything, the additional constant term can be absorbed into it. Finally, if theta is real-valued, we can indicate this with absolute value brackets in order to get the equation into its most familiar form:

The integral of the hyperbolic secant function defines the Gudermannian function:
The integral of the secant function defines the Lambertian function, which is the inverse of the Gudermannian function:
These functions are encountered in the theory of map projections: the Mercator projection of a point on the sphere with longitude λ and latitude ϕ may be written[11] as:
D. T. Whiteside, editor, The Mathematical Papers of Isaac Newton, Cambridge University Press, 1967, volume 1, pages 466–467 and 473–475.
"Integral of Secant". MIT OpenCourseWare.
Source: Wikipedia. Article content is retrieved live through the MediaWiki API.
In calculus, the integral of the secant function can be evaluated using a variety of methods and there are multiple ways of expressing the antiderivative, all of which can be shown to be equivalent via trigonometric identities, ∫ sec θ d θ = { 1 2 ln 1 + sin θ 1 − sin θ + C ln | sec θ + tan θ | + C ln | tan ( θ 2 + π 4 ) | + C {\displaystyle \int \sec \theta \,d\theta ={\begin{cases}{\dfrac {1}{2}}\ln {\dfrac {1+\sin \theta }{1-\sin \theta }}+C\\[15mu]\ln {{\bigl |}\sec \theta +\tan \theta \,{\bigr |}}+C\\[15mu]\ln {\left|\,{\tan }{\biggl (}{\dfrac {\theta }{2}}+{\dfrac {\pi }{4}}{\biggr )}\right|}+C\end{cases}}} This formula is useful for evaluating various trigonometric integrals. In particular, it can be used to evaluate the integral of the secant cubed, which, though seemingly special, comes up rather frequently in applications. The definite integral of the secant function starting from 0 {\displaystyle 0} is the inverse Gudermannian function, gd − 1 . {\textstyle \operatorname {gd} ^{-1}.} For numerical applications, all of the above expressions result in loss of significance for some arguments. An alternative expression in terms of the inverse hyperbolic sine arsinh is numerically well behaved for real arguments | ϕ | < 1 2 π {\textstyle |\phi |
In mathematics, Jensen's inequality, named after the Danish mathematician Johan Jensen, relates the value of a convex function of an integral to the integral of the convex function. It was proved by Jensen in 1906, building on an earlier proof of the same inequality for doubly-differentiable functions by Otto Hölder in 1889. Given its generality, the inequality appears in many forms depending on the context, some of which are presented below. In its simplest form the inequality states that the convex transformation of a mean is less than or equal to the mean applied after convex transformation (or equivalently, the opposite inequality for concave transformations). Jensen's inequality generalizes the statement that the secant line of a convex function lies above the graph of the function, which is Jensen's inequality for two points: the secant line consists of weighted means of the convex function (for t ∈ [0,1]), t f ( x 1 ) + ( 1 − t ) f ( x 2 ) , {\displaystyle tf(x_{1})+(1-t)f(x_{2}),} while the graph of the function is the convex function of the weighted means, f ( t x 1 + ( 1 − t ) x 2 ) . {\displaystyle f(tx_{1}+(1-t)x_{2}).} Thus, Jensen's inequality in this case is f ( t x 1 + ( 1 − t ) x 2 ) ≤ t f ( x 1 ) + ( 1 − t ) f ( x 2 ) . {\displaystyle f(tx_{1}+(1-t)x_{2})\leq tf(x_{1})+(1-t)f(x_{2}).} In the context of probability theory, it is generally stated in the following form: if X is a random variable and φ is a convex function, then φ ( E [ X ] ) ≤ E [ φ ( X ) ] . {\displaystyle \varphi (\operatorname {E} [X])\leq \operatorname {E} \left[\varphi (X)\right].} The difference between the two sides of the inequality, E [ φ ( X ) ] − φ ( E [ X ] ) {\displaystyle \operatorname {E} \left[\varphi (X)\right]-\varphi \left(\operatorname {E} [X]\right)} , is called the Jensen gap.
The integral of secant cubed is a frequent and challenging indefinite integral of elementary calculus. Integral of sec³x is as follows: ∫ sec 3 x d x = 1 2 d d x sec x + 1 2 ∫ sec x d x + C = 1 2 sec x tan x + 1 2 ∫ sec x d x + C = 1 2 ( sec x tan x + ln | sec x + tan x | ) + C = 1 2 ( sec x tan x + gd − 1 x ) + C , | x | < 1 2 π {\textstyle {\begin{aligned}\int \sec ^{3}x\,dx&={\tfrac {1}{2}}{\frac {d}{dx}}\sec x+{\tfrac {1}{2}}\int \sec x\,dx+C\\[6mu]&={\tfrac {1}{2}}\sec x\tan x+{\tfrac {1}{2}}\int \sec x\,dx+C\\[6mu]&={\tfrac {1}{2}}(\sec x\tan x+\ln \left|\sec x+\tan x\right|)+C\\[6mu]&={\tfrac {1}{2}}(\sec x\tan x+\operatorname {gd} ^{-1}x)+C,\qquad |x|
In mathematics, the limit of a function is a fundamental concept in calculus and analysis concerning the behavior of that function near a particular input which may or may not be in the domain of the function. Formal definitions, first devised in the early 19th century, are given below. Informally, a function f assigns an output f(x) to every input x. We say that the function has a limit L at an input p, if f(x) gets closer and closer to L as x moves closer and closer to p. More specifically, the output value can be made arbitrarily close to L if the input to f is taken sufficiently close to p. On the other hand, if some inputs very close to p are taken to outputs that stay a fixed distance apart, then we say the limit does not exist. The notion of a limit has many applications in modern calculus. In particular, the many definitions of continuity employ the concept of limit: roughly, a function is continuous if all of its limits agree with the values of the function. The concept of limit also appears in the definition of the derivative: in the calculus of one variable, this is the limiting value of the slope of secant lines to the graph of a function.
Before the 1921 destruction of Tulsa’s Greenwood District, Black residents had created a remarkable center of business and community life. The district included stores, professional offices, entertainment venues and homes owned by Black citizens. Understanding Greenwood means learning what was built—not only what was burned.
MORE →The Greenwood District.