Elementary Analytic Functions
Elementary functions extend naturally from real to complex analysis, but gain new properties such as periodicity, multivaluedness, and branch cuts. These functions are fundamental examples of holomorphic and meromorphic functions.
The Exponential Function
The complex exponential is defined by
where . Equivalently, (power series with infinite radius of convergence).
- for all .
- and (mod ).
- is periodic with period : .
- is entire and never zero.
- .
For where :
This is Euler's formula. In particular, and .
Trigonometric Functions
- (Pythagorean identity holds).
- and are entire.
- and .
- and are periodic with period .
- Unlike real sine and cosine, they are unbounded: as .
. For large real , . Thus is unbounded on , unlike the real sine function.
Hyperbolic Functions
The Complex Logarithm
The complex logarithm is the inverse of the exponential function. For with :
The logarithm is multivalued: infinitely many values differ by integer multiples of .
To make single-valued, we choose a branch: a connected region where varies continuously. The principal branch is defined by restricting :
The branch cut is the negative real axis . On , is holomorphic with derivative .
For :
The principal value is .
Complex Powers
For with :
This is generally multivalued (unless is an integer).
for . The principal value is , which is real!
. For instance, .
The two values are and .
Inverse Trigonometric Functions
, , are defined as inverses of , , . They are multivalued and can be expressed in terms of the complex logarithm:
These functions have branch cuts on the real axis outside (for and ).
Summary
- Exponential: entire, periodic, never zero.
- Trigonometric: entire, periodic, unbounded.
- Logarithm: multivalued, requires branch cuts, holomorphic on domains avoiding cuts.
- Powers: multivalued (unless exponent is an integer).
- Inverse trig: multivalued, branch cuts on real axis.
These functions are the building blocks for all of complex analysis, appearing in power series, residue calculations, and conformal maps.