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| Mathematical analysis → Complex analysis |
| Complex analysis |
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In mathematics, more specifically complex analysis, the residue of a function at a point of its domain is a complex number proportional to the contour integral of a meromorphic function along a path enclosing one of its singularities. (More generally, residues can be calculated for any function that is holomorphic except at the discrete points , which may include essential singularities.) Residues are typically readily computed and, once known, allow the determination of general contour integrals via the residue theorem.
The residue of a meromorphic function at an isolated singularity , often denoted , , or , is the unique value such that has an analytic antiderivative in a punctured disk .
Alternatively, residues can be calculated by finding Laurent series expansions, and one can define the residue as the coefficient of a Laurent series.
The concept can be used to provide contour integration values of certain contour integral problems considered in the residue theorem. According to the residue theorem, for a meromorphic function , the residue at point is given as:
where is a positively oriented simple closed curve around and not including any other singularities on or inside the curve.
The definition of a residue can be generalized to arbitrary Riemann surfaces. Suppose is a 1-form on a Riemann surface. Let be meromorphic at some point , so that we may write in local coordinates as . Then, the residue of at is defined to be the residue of at the point corresponding to .
Computing the residue of a monomial
makes most residue computations easy to do. Since path integral computations are homotopy invariant, we will let be the circle with radius going counter clockwise. Then, using the change of coordinates we find that
hence this integral now reads as
Thus, the residue of is if integer and otherwise.
If a function is expressed as a Laurent series expansion around as follows: Then, the residue at the point is calculated as: using the results from contour integral of a monomial for counter clockwise contour integral around a point . Hence, if a Laurent series representation of a function exists around , then its residue around is known by the coefficient of the term .
For a meromorphic function , with a finite set of singularities within a positively oriented simple closed curve which does not pass through any singularity, the value of the contour integral is given according to residue theorem, as: where , the winding number, is if is in the interior of and if not, simplifying to: where are all isolated singularities within the contour .
Suppose a punctured disk in the complex plane is given and is a holomorphic function defined (at least) on . The residue of at is the coefficient of in the Laurent series expansion of around . Various methods exist for calculating this value, and the choice of which method to use depends on the function in question, and on the nature of the singularity.
According to the residue theorem, we have:
where traces out a circle around in a counterclockwise manner and does not pass through or contain other singularities within it. We may choose the path to be a circle of radius around . Since can be as small as we desire it can be made to contain only the singularity of due to nature of isolated singularities. This may be used for calculation in cases where the integral can be calculated directly, but it is usually the case that residues are used to simplify calculation of integrals, and not the other way around.
If the function can be continued to a holomorphic function on the whole disk , then . The converse is not in general true.
If is a simple pole of , the residue of is given by:
If that limit does not exist, then instead has an essential singularity at . If the limit is , then is either analytic at or has a removable singularity there. If the limit is equal to infinity, then the order of the pole is higher than .
It may be that the function can be expressed as a quotient of two functions, , where and are holomorphic functions in a neighbourhood of , with and . In such a case, L'Hôpital's rule can be used to simplify the above formula to:
More generally, if is a pole of order , then the residue of around can be found by the formula:
This formula can be very useful in determining the residues for low-order poles. For higher-order poles, the calculations can become unmanageable, and series expansion is usually easier. For essential singularities, no such simple formula exists, and residues must usually be taken directly from series expansions.
In general, the residue at infinity is defined as:
If the following condition is met:
then the residue at infinity can be computed using the following formula:
If instead
then the residue at infinity is
For functions that are meromorphic on the entire complex plane with finitely many singularities, the sum of the residues at the (necessarily) isolated singularities plus the residue at infinity is zero, which gives:
If parts or all of a function can be expanded into a Taylor series or Laurent series, which may be possible if the parts or the whole of the function has a standard series expansion, then calculating the residue is significantly simpler than by other methods. The residue of the function is simply given by the coefficient of in the Laurent series expansion of the function.
As an example, consider the contour integral
where is some simple closed curve about .
Let us evaluate this integral using a standard convergence result about integration by series. Substituting the Taylor series for into the integrand, the integral becomes
Let us bring the term in into the series. The contour integral of the series then writes
Since the series converges uniformly on the support of the integration path, we are allowed to exchange integration and summation. The series of the path integrals then collapses to a much simpler form because of the previous computation. So now the integral around of every other term not in the form is zero, and the integral is reduced to
The value 1/4! is the residue of at , and is denoted
As a second example, consider calculating the residues at the singularities of the functionwhich may be used to calculate certain contour integrals. This function appears to have a singularity at , but if one factorizes the denominator and thus writes the function as it is apparent that the singularity at is a removable singularity and then the residue at is therefore . The only other singularity is at . Recall the expression for the Taylor series for a function about : So, for and we have and for and we have Multiplying those two series and introducing gives us So the residue of at is .
The next example shows that, computing a residue by series expansion, a major role is played by the Lagrange inversion theorem. Let be an entire function, and let with positive radius of convergence, and with . So has a local inverse at , and is meromorphic at . Then we have: Indeed, because the first series converges uniformly on any small circle around . Using the Lagrange inversion theorem and we get the above expression. For example, if and also , then and The first term contributes to the residue, and the second term contributes since it is asymptotic to .
With the corresponding stronger symmetric assumptions on and , it also follows that where is a local inverse of at .
The function is holomorphic on . has the following Laurent series: The residue of in is the coefficient in the Laurent series with the center as essential singularity:
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In control theory and stability theory, root locus analysis is a graphical method for examining how the roots of a linear time-invariant (LTI) system change with variation of a certain system parameter, commonly a gain within a feedback system. This is a technique used as a stability criterion in the field of classical control theory developed by Walter R. Evans which can determine stability of the system. The root locus plots the poles of the closed loop transfer function in the complex s-plane as a function of a gain parameter (see pole–zero plot). Evans also invented in 1948 an analog computer to compute root loci, called a "Spirule" (after "spiral" and "slide rule"); it found wide use before the advent of digital computers.
In complex analysis (a branch of mathematics), a pole is a certain type of singularity of a complex-valued function of a complex variable. It is the simplest type of non-removable singularity of such a function (see essential singularity). Technically, a point z0 is a pole of a function f if it is a zero of the function 1/f and 1/f is holomorphic (i.e. complex differentiable) in some neighbourhood of z0. A function f is meromorphic in an open set U if for every point z of U there is a neighborhood of z in which at least one of f and 1/f is holomorphic. If f is meromorphic in U, then a zero of f is a pole of 1/f, and a pole of f is a zero of 1/f. This induces a duality between zeros and poles, that is fundamental for the study of meromorphic functions. For example, if a function is meromorphic on the whole complex plane plus the point at infinity, then the sum of the multiplicities of its poles equals the sum of the multiplicities of its zeros.
Complex analysis, traditionally known as the theory of functions of a complex variable, is the branch of mathematical analysis that studies complex-valued functions of one or more complex variables. It is used in many branches of mathematics, including functional analysis, algebraic geometry, number theory, analytic combinatorics, and applied mathematics, as well as in physics, including the branches of hydrodynamics, thermodynamics, quantum mechanics, and twistor theory. It also has applications in engineering fields, such as nuclear, aerospace, mechanical, and electrical engineering. Complex analysis primarily studies holomorphic functions, which are differentiable functions of a complex variable. In contrast with a differentiable real function, a holomorphic function is always infinitely differentiable and equal to the sum of its Taylor series in some neighborhood of each point of its domain. This makes methods and results of complex analysis significantly different from those of real analysis. Complex functions also behave very differently under contour integration: the integral of a holomorphic function over a contour in the complex plane does not depend on the details of the contour, only on how it winds around the singularities of the function. Being able to move a given contour to a more suitable one often leads to major simplifications in proofs. The theory of several complex variables generalizes one-variable complex function theory to more than one complex dimension. While many of the techniques of a single complex variable are used and generalized in this setting, the theory of several complex variables makes use of additional techniques such as Banach algebras and sheaf theory. It is often concerned with questions of interest in algebraic geometry and symmetric spaces.
In mathematics, more specifically complex analysis, the residue of a function at a point of its domain is a complex number proportional to the contour integral of a meromorphic function along a path enclosing one of its singularities. (More generally, residues can be calculated for any function f : C ∖ { a k } k → C {\displaystyle f:\mathbb {C} \smallsetminus \{a_{k}\}_{k}\rightarrow \mathbb {C} } that is holomorphic except at the discrete points { a k } k {\displaystyle \{a_{k}\}_{k}} , which may include essential singularities.) Residues are typically readily computed and, once known, allow the determination of general contour integrals via the residue theorem.
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 →Brown v. Board of Education in 1954.