Mathematics - The term máthēma from Greek which means "knowledge,
study, and learning" is the abstract study of topics encompassing quantity,
structure, space, change, and other properties; it has no generally accepted
definition. Through the use of abstraction and logical
reasoning, mathematics developed from counting, calculation, measurement, and
the systematic study of the shapes and motions of physical objects. Practical
mathematics has been a human activity for as far back as written records exists.
Mathematics is used
throughout the world as an essential tool in many fields, including natural
science, engineering, medicine, and the social sciences. Applied mathematics,
the branch of mathematics concerned with application of mathematical knowledge
to other fields, inspires and makes use of new mathematical discoveries, which
has led to the development of entirely new mathematical disciplines, such as Mathematics
and game theory.
Three leading types of
definition of mathematics are called logicist, intuitionist, and formalist, each reflecting a different philosophical school
of thought.
Logicist
:
Intuitionist
definitions, developing from the philosophy of mathematician L.E.J. Brouwer,
identify mathematics with certain mental phenomena. An example of an
intuitionist definition is "Mathematics is the mental activity which
consists in carrying out constructs one after the other." A peculiarity of
intuitionism is that it rejects some mathematical ideas considered valid
according to other definitions. In particular, while other philosophies of
mathematics allow objects that can be proven to exist even though they cannot
be constructed, intuitionism allows only mathematical objects that one can
actually construct.
Formalist
:
Formalist definitions
identify mathematics with its symbols and the rules for operating on them.
Haskell Curry defined mathematics simply as "the science of formal systems".
A formal system is a set of symbols, or tokens, and some rules telling how the
tokens may be combined into formulas. In formal systems, the word axiom has a
special meaning, different from the ordinary meaning of "a self-evident
truth". In formal systems, an axiom is a combination of tokens that is
included in a given formal system without needing to be derived using the rules
of the system.
Applied
mathematics
Applied mathematics
concerns itself with mathematical methods that are typically used in science,
engineering, business, and industry. Thus, "applied mathematics" is a
mathematical science with specialized knowledge. The term applied mathematics
also describes the professional specialty in which mathematicians work on
practical problems; as a profession focused on practical problems, applied
mathematics focuses on the "formulation, study, and use of mathematical
models" in science, engineering, and other areas of mathematical practice.
In the past, practical
applications have motivated the development of mathematical theories, which
then became the subject of study in pure mathematics, where mathematics is
developed primarily for its own sake. Thus, the activity of applied mathematics
is vitally connected with research in pure mathematics.
Mathematics
and other decision sciences
Applied mathematics has
significant overlap with the discipline of Mathematics, whose theory is
formulated mathematically, especially with probability theory. Statisticians
(working as part of a research project) "create data that makes
sense" with random sampling and with randomized experiments; the design of
a statistical sample or experiment specifies the analysis of the data (before
the data be available). When reconsidering data from experiments and samples or
when analyzing data from observational studies, statisticians "make sense
of the data" using the art of modelling and the theory of inference – with
model selection and estimation; the estimated models and consequential
predictions should be tested on new data.
Statistical theory
studies decision problems such as minimizing the risk (expected loss) of a
statistical action, such as using a procedure in, for example, parameter
estimation, hypothesis testing, and selecting the best. In these traditional
areas of mathematical Mathematics, a statistical-decision problem is formulated
by minimizing an objective function, like expected loss or cost, under specific
constraints: For example, designing a survey often involves minimizing the cost
of estimating a population mean with a given level of confidence. Because of
its use of optimization, the mathematical theory of Mathematics shares concerns
with other decision sciences, such as operations research, control theory, and
mathematical economics.
Computational
mathematics
Computational
mathematics proposes and studies methods for solving mathematical problems that
are typically too large for human numerical capacity. Numerical analysis
studies methods for problems in analysis using functional analysis and
approximation theory; numerical analysis includes the study of approximation
and discretization broadly with special concern for rounding errors. Numerical
analysis and, more broadly, scientific computing also study non-analytic topics
of mathematical science, especially algorithmic matrix and graph theory. Other
areas of computational mathematics include computer algebra and symbolic computation.
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