Showing posts with label Mathematics Page. Show all posts
Showing posts with label Mathematics Page. Show all posts

Introductory Differential Equation




















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Basic Mathematics Terms Definition

algebrathe branch of mathematics that treats the representation and manip-ulation of relationships among numbers, values, vectors, etc. —algebraicadj.algorism1. the Arabic system of numbering. 2. the method of computation with the Arabic flgures 1 through 9, plus the zero; arithmetic. 3. the rule for solving a specific kind of arithmetic problem, as finding an average; algorithm. —algoristn. —algorismicadj.algorithmany methodology for solving a certain kind of problem.analogismthe construction of a proportion.biometrics1. the calculation of the probable extent of human lifespans. 2. the application to biology of mathematical and statistical theory and methods. —biometric, biometrical, adj.calculusa branch of mathematics that treats the measurement of changing quantities, determining rates of change (differential calculus) and quantities under changing conditions (integral calculus).geodesythe branch of applied mathematics that studies the measurement and shape and area of large tracts, the exact position of geographical points, and the curvature, shape, and dimensions of the earth. Also called geodetics—geodesistn. —geodetic, geodeticaladj.geometrythe branch of mathematics that treats the measurement, relationship, and properties of points, lines, angles, and flgures in space. —geometer, geometriciann. —geometric, geometricaladj.isoperimetrythe study of flgures that have perimeters of equal length. —isoperimetrical, isoperimetraladj.logarithmomancya form of divination involving logarithms.logisticRare. the art or science of calculation or arithmetic.mathematicsthe systematic study of magnitude, quantitites, and their relationships as expressed symbolically in the form of numerals and forms. —mathematiciann. —mathematic, mathematicaladj.metamathematicsthe logical analysis of the fundamental concepts of mathematics, as function, number, etc. —metamathematician,n. —metamathematicaladj.orthogonalitythe state or quality of being right-angled or perpendicular. —orthogonaladj.parallelismthe quality of being parallel.philomathy1. Rare. a love of learning. 2. a love of mathematics. —philomathn. —philomathic, philomathical, philomathean,adj.planimetrythe geometry and measurement of plane surfaces. —planimetern. —planimetric, planimetricaladj.polynomialisma mathematical expression having the quality of two or more terms.porismRare. a kind of geometrical proposition of ancient Greek mathematics arising during the investigation of some other proposition either as a corollary or as a condition that will render a certain problem indeterminate. —porismaticadj.Pythagoreanismthe doctrines and theories of Pythagoras, ancient Greek philosopher and mathematician, and the Pythagoreans, especially number relationships in music theory, acoustics, astronomy, and geometry (the Pythagorean theorem for right triangles), a belief in metempsychosis, and mysticism based on numbers. —Pythagoreann., adj. —Pythagoristn.quadraticsthe branch of algebra that deals with equations containing variables of the second power, i.e. squared, but no higher.spheroidicitythe state of having a roughly spherical shape. Also called spheroidism, spheroidity.statistologyRare. a treatise on statistics.theorematista person who discovers or formulates a mathematical theorem. —theorematictopologya branch of mathematics that studies the properties of geometrical forms that remain invariant under certain transformations, as bending or stretching. —topologistn. —topologic, topologicaltrigonometrythe branch of mathematics that treats the measurement of and relationships between the sides and angles of plane triangles and the solid figures derived from them. —trigonometric, trigonometrical


Branches Of Mathematics

1. Algebra
• Abstract algebra
- Theory of groups, rings, fields, algebras,
modules, vector spaces, etc.
• Combinatorics
• Number Theory
2. Analysis
• Calculus
• Real and Complex Analysis
• Vector and Tensor Analysis
• Differential Equations
• Functional Analysis
3. Geometry
• Euclidean and Non-Euclidean Geometry
• Affine, Metric, Projective Geometry
• Discrete Geometry
• Differential Geometry
• Algebraic Geometry
4. Applied Mathematics
• Probability
• Statistics
• Game Theory
• Systems and Control Theory
• Computer Science
5. Foundations
• Logic, Computability, Recursion Theory
• Set Theory

• Category Theory
Description Of Branches:
Algebra
Historically, algebra is the study of solutions of one or several algebraic equations, involving the polynomialfunctions of one or several variables. The case where all the polynomials have degree one (systems of linear equations) leads to linear algebra. The case of a single equation, in which one studies the roots of one polynomial, leads to field theory and to the so-called Galois theory. The general case of several equations of high degree leads to algebraic geometry, so named because the sets of solutions of such systems are often studied by geometric methods.
Modern algebraists have increasingly abstracted and axiomatized the structures and patterns of argument encountered not only in the theory of equations, but in mathematics generally. Examples of these structures includegroups (first witnessed in relation to symmetry properties of the roots of a polynomial and now ubiquitous throughout mathematics), rings (of which the integers, or whole numbers, constitute a basic example), and fields (of which the rational, real, and complex numbers are examples). Some of the concepts of modern algebra have found their way into elementary mathematics education in the so-called new mathematics.
Some important abstractions recently introduced in algebra are the notions of category and functor, which grew out of so-called homological algebra. Arithmetic and number theory, which are concerned with special properties of the integers—e.g., unique factorization, primes, equations with integer coefficients (Diophantine equations), and congruences—are also a part of algebra. Analytic number theory, however, also applies the nonalgebraic methods of analysis to such problems.
Analysis
The essential ingredient of analysis is the use of infinite processes, involving passage to a limit. For example, the area of a circle may be computed as the limiting value of the areas of inscribed regular polygons as the number of sides of the polygons increases indefinitely. The basic branch of analysis is the calculus. The general problem of measuring lengths, areas, volumes, and other quantities as limits by means of approximating polygonal figures leads to the integral calculus. The differential calculus arises similarly from the problem of finding the tangent line to a curve at a point. Other branches of analysis result from the application of the concepts and methods of the calculus to various mathematical entities. For example, vector analysis is the calculus of functions whose variables are vectors. Here various types of derivatives and integrals may be introduced. They lead, among other things, to the theory of differential and integral equations, in which the unknowns are functions rather than numbers, as in algebraic equations. Differential equations are often the most natural way in which to express the laws governing the behavior of various physical systems. Calculus is one of the most powerful and supple tools of mathematics. Its applications, both in pure mathematics and in virtually every scientific domain, are manifold.
Geometry
The shape, size, and other properties of figures and the nature of space are in the province of geometry. Euclideangeometry is concerned with the axiomatic study of polygons, conic sections, spheres, polyhedra, and related geometric objects in two and three dimensions—in particular, with the relations of congruence and of similarity between such objects. The unsuccessful attempt to prove the "parallel postulate" from the other axioms of Euclid led in the 19th cent. to the discovery of two different types of non-Euclidean geometry.
The 20th cent. has seen an enormous development of topology, which is the study of very general geometric objects, called topological spaces, with respect to relations that are much weaker than congruence and similarity. Other branches of geometry include algebraic geometry and differential geometry, in which the methods of analysis are brought to bear on geometric problems. These fields are now in a vigorous state of development.
Applied Mathematics
The term applied mathematics loosely designates a wide range of studies with significant current use in the empirical sciences. It includes numerical methods and computer science, which seeks concrete solutions, sometimes approximate, to explicit mathematical problems (e.g., differential equations, large systems of linear equations). It has a major use in technology for modeling and simulation. For example, the huge wind tunnels, formerly used to test expensive prototypes of airplanes, have all but disappeared. The entire design and testing process is now largely carried out by computer simulation, using mathematically tailored software. It also includes mathematical physics, which now strongly interacts with all of the central areas of mathematics. In addition,probability theory and mathematical statistics are often considered parts of applied mathematics. The distinction between pure and applied mathematics is now becoming less significant.
Foundations
The term foundations is used to refer to the formulation and analysis of the language, axioms, and logical methods on which all of mathematics rests (see logicsymbolic logic). The scope and complexity of modern mathematics requires a very fine analysis of the formal language in which meaningful mathematical statements may be formulated and perhaps be proved true or false. Most apparent mathematical contradictions have been shown to derive from an imprecise and inconsistent use of language. A basic task is to furnish a set of axioms effectively free of contradictions and at the same time rich enough to constitute a deductive source for all of modern mathematics. The modern axiom schemes proposed for this purpose are all couched within the theory of sets, originated by Georg Cantor, which now constitutes a universal mathematical language.

Mathematics as a Discipline

A discipline (a organized, formal field of study) such as mathematics tends to be defined by the types of problems it addresses, the methods it uses to address these problems, and the results it has achieved. One way to organize this set of information is to divide it into the following three categories (of course, they overlap each other):
1.     Mathematics as a human endeavor. For example, consider the math of measurement of time such as years, seasons, months, weeks, days, and so on. Or, consider the measurement of distance, and the different systems of distance measurement that developed throughout the world. Or, think about math in art, dance, and music. There is a rich history of human development of mathematics and mathematical uses in our modern society.
2.     Mathematics as a discipline. You are familiar with lots of academic disciplines such as archeology, biology, chemistry, economics, history, psychology, sociology, and so on. Mathematics is a broad and deep discipline that is continuing to grow in breadth and depth. Nowadays, a Ph.D. research dissertation in mathematics is typically narrowly focused on definitions, theorems, and proofs related to a single problem in a narrow subfield in mathematics.
3.     Mathematics as an interdisciplinary language and tool. Like reading and writing, math is an important component of learning and "doing" (using one's knowledge) in each academic discipline. Mathematics is such a useful language and tool that it is considered one of the "basics" in our formal educational system.
To a large extent, students and many of their teachers tend to define mathematics in terms of what they learn in math courses, and these courses tend to focus on #3. The instructional and assessment focus tends to be on basic skills and on solving relatively simple problems using these basic skills. As the three-component discussion given above indicates, this is only part of mathematics.

Even within the third component, it is not clear what should be emphasized in curriculum, instruction, and assessment. The issue of basic skills versus higher-order skills is particularly important in math education. How much of the math education time should be spent in helping students gain a high level of accuracy and automaticity in basic computational and procedural skills? How much time should be spent on higher-order skills such as problem posing, problem representation, solving complex problems, and transferring math knowledge and skills to problems in non-math disciplines?