Methods in Theoretical Biology

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Definition of Mathematical Areas

For the Methods in Theoretical Biology Project

Introduction

This document defines the mathematical areas that will be used in the database of the Methods in Theoretical Biology project. The definition is based on the "Basic Methods in Theoretical Biology" document (view as HTML, pdf), in which the most often used mathematical techniques in theoretical biology are described. The definition of the areas is based on the mathematical subjects that are needed to study a particular type of theory. In this way, study books of that subject can be used as background reading for a particular area. In each area, basic, medium and advanced exercises and examples can be found. It is advisable to be comfortable with at least most of the material in a given difficulty level to advance to the next. The notion of difficulty is based on the judgement of the author and the editorial board.

Area Index

The following mathematical areas have been defined:

Methodology

The study of method and procedure. A summary of the required knowledge for this area can be found in chapter 1 of the methods document.

Associated mathematical keywords

Keywords as found in the methods document and database.
allometric functionArrheniusauxiliary theory
Buckingham theoremcoherenceconsistency
deductive logicdesign experimentaldimension
empirical cycleextensive variableexperimental biology
falsificationinductive logicintensive variable
moduleorganization scalePascal
predicate logicpropositional logicsupport
testabilitytheoretical biologyusefulness
verification

Recommended literature

No free books found so far, please mail the Executing editor if you have suggestions.

Back to area index

Mathematical Concepts

Basic concepts that are used in mathematics. A summary of the required knowledge for this area can be found in sections 2.1 to 2.3 of the methods document.

Associated mathematical keywords

Keywords as found in the methods document and database.
set
Venn diagram
complement
partition
union
intersection
subset
disjoint
Boolean operator
de Morgan rule
interval
interval closed
open interval
half-open interval
unbounded interval
factorial
over
operator
image
domain
injective operator
surjective operator
bijective operator
scalar
real number
absolute value
integer
rational number
complex number
real part
imaginary part
conjugate

Recommended literature

Basic Concepts of Mathematics, Elias Zakon Available for self study without charge
This book helps the student complete the transition from purely manipulative to rigorous mathematics, using extensive explanations of basic concepts.

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Calculus

The branch of mathematics concerned with the differentiation and integration of functions. A summary of the required knowledge for this area can be found in section 2.4 of the methods document.

Associated mathematical keywords

Keywords as found in the methods document and database.
function
range
independent variable
dependent variable
parameter
monotonous function
even function
odd function
homogeneous function
polynomial function
degree
rational function
algebraic function
composition function
inner function
outer function
transcendental function
base
implicit definition
inverse function
sine
cosecant
cosine
secant
tangent
cotangent
limit
right-hand limit
left-hand limit
continuous function
vertical tangent line
asymptote
Order
order
sequence
term
Fibonacci sequence
recursive definition
convergence
series
geometric series
harmonic series
divergence
Riemann zeta function
binomial series
differentiable function
implicit differentiation
second derivative
inflection point
L'Hopital rule
Maclaurin series
Taylor series
tangent line
tangent parabola
approximation
partial derivative
gradient
directional derivative
implicit partial differentiation
Hessian matrix
chain rule
intermediate variable
tangent plane
critical point
minimum value
maximum value
local maximum
local minimum
global minimum
global maximum
determinant
saddle point
constraint
Lagrange multiplier
antiderivative
indefinite integration
integrand
definite integration
average value
logarithmic function
exponential function
gamma function
beta function
Leibniz theorem
partial integration
Jacobian
determinant
Jacobian matrix
algebra theorem
root
determinant
isocline
circle
ellipse
hyperbola
sphere

Recommended literature

Elementary Calculus, an Approach Using Infinitesimals, H. Jerome Keisler On-line edition available without charge
Containing a more extensive, intuitive discussion of concepts.

The Calculus Bible, Prof. G. S. Gill Available for reading without charge.
A formal approach to undergraduate area calculus.

Back to area index

Linear Algebra

The part of algebra that deals with the theory of linear equations and linear transformation. A summary of the required knowledge for this area can be found in section 2.5 of the methods document.

Associated mathematical keywords

Keywords as found in the methods document and database.
matrix
element
size matrix
matrix product
direct product
trace
square matrix
diagonal matrix
identity matrix
zero matrix
triangular matrix
vector
idempotent
transposition
symmetric matrix
determinant
singular matrix
nonsingular matrix
linearly dependent
rank
full rank
inverse matrix
non-homogeneous linear system
generalized inverse matrix
eigen value
eigen vector
bilinear form
quadratic form
positive definite
negative definite
inner product
length vector
norm of vector
Pythagoras theorem
outer product
cosine
orthogonal
orthonormal
rotation matrix

Recommended literature

Linear Algebra, J. Hefferson, Available for reading without charge
An undergraduate textbook on linear algebra meant to challenge students without being overwhelming. It introduces many interesting applications.

Introduction to Matrix Algebra, A.K. Kaw, Available for reading without charge
A contemporary, applied approach to linear algebra, suitable for self study. Uses examples to illustrate every concept.

Elementary Linear Algebra, K.R. Matthews Available for reading without charge
A more formal and concise approach to linear algabra for undergraduate students.

Back to area index

Probability

The branch of mathematics concerned with the analysis of the likelihood of events occurring. A summary of the required knowledge for this area can be found in section 2.6 of the methods document.

Associated mathematical keywords

Keywords as found in the methods document and database.
random variable
discrete random variable
continuous random variable
sample
frequency distribution
probability distribution
probability density function
distribution function
survivor function
expectation

mean
variance
moment
central moment
standard deviation
variation coefficient
stochastically dependent
covariance
correlation coefficient

Poisson distribution
binomial distribution
Bernoulli distribution
multinomial distribution
geometric distribution
negative binomial distribution
homogeneous distribution
beta distribution
exponential distribution

gamma distribution
normal distribution
central limit theorem
Chi-square distribution
conditional probability
truncated distribution
marginal distribution
mixture
convolution integral

Recommended literature

Basic Probability, C. M. Grinstead, J. L. Snell, available under GNU General Public License.
This Book introduces probability without too much formal mathematics, in a "somewhat leisurely style" using well - written introductions and examples.

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Numerical Methods

Methods that are needed to find numerical values for quantities that cannot be obtained analytically. A summary of the required knowledge for this area can be found in section 2.7 of the methods document.

Associated mathematical keywords

numerical integration
stiff differential equation
numerical differentiation
Newton Raphson iteration
simplex

Recommended literature

Numerical Recipes, by Numerical Recipes Software available for reading online
Book accompanying the "Numerical Recipes" software. Offers practical advice on how to employ numerical techniques, and explains those used in the library.

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Processes

Models for any series of changes, especially natural ones. A summary of the required knowledge for this area can be found in section 3.1 of the methods document.

Associated mathematical keywords

Keywords as found in the methods document and database.
transient state
steady state
discrete time process
continuous time process
map
deterministic process

stochastic process
correlation function
chain Markov
branching process
Markov process
process Markov

birth and death process
Yule process
point process
counting process
interval process
orderly process

renewal process
intensity
ergodic process
hazard rate
central limit theorem

Recommended literature

No free books found so far, please mail the Executing editorif you have suggestions.

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Systems

Sytems are an assemblage of inter-related elements comprising a unified whole, mathematical systems theory has its specific way of dealing with systems. A summary of the required knowledge for this area can be found in section 3.2 of the methods document.

Associated mathematical keywords

Keywords as found in the methods document and database.
state variable
input
differential equation
output
initial value
boundary value
feedback

bifurcation
memory
point attractor
cyclic attractor
chaos
strange attractor
neutral stability

local stability
global stability
continuation
normal form
Floquet multiplier
bifurcation diagram
operating diagram

Recommended literature

No free books found so far, please mail theExecuting editorif you have suggestions.

Back to area index

Model Based Statistics

The branch of mathematics concerned with estimation of model parameters and testing hypotheses about their values. A summary of the required knowledge for this area can be found in Chapter 4 of the methods document.

Associated mathematical keywords

Keywords as found in the methods document and database.

transformation
measurement scale
measurement
scale measurement
unit measurement
significant figure
floating point
random error
systematic error

precision
accuracy
absolute error
relative error
interpolation
spline function
knot
Bezier curve
control point

null hypothesis
alternative hypothesis
significance level
type 1 error
type 2 error
power test
Neyman-Pearson theorem
likelihood function
maximum likelihood estimate

maximum likelihood estimator
bias
confidence interval
deviance
regression model
unidentifiable parameter
random generator
seed

Recommended literature

Electronic Statistics Textbook, Statsoft, Available for reading online The Electronic Statistics Textbook offers training in the understanding and application of statistics. Covers a wide range of topics, containing a theoretical introduction and practical applications.

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Mixture

The exercises may combine the knowledge from other areas. This will be indicated in the exercise by assigning multiple mathematical areas to the particular exercise.

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