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  interior – locally compact

interior   The interior of a subset E of a topological space is the largest open set contained in E. It may also be expressed as the intersection of E with the closure of its complement. If E is open, then it is equal to its interior. If E contains no open sets we say that it has empty interior, and this equivalent to saying that E is nowhere dense.

interval   The set of all real numbers lying between two given real numbers a and b. If both a and b are included in the set it is called a closed interval. If neither a nor b is included it is called an open interval. If only one of a or b is included the interval is called half-open (equivalently, half-closed). Intervals may be denoted using either interval notation or set notation, as follows:



Although intervals are most commonly intervals on the real line, the definition carries over without modification to any totally ordered set.


interval graph   An intersection graph of a finite family of intervals on the real line.

inverse function   If f is an injective (i.e., one-to-one) function, then f is said to be invertible, and its inverse is the function g satisfying g(f(x)) = f(g(x)) = x for every x in the domain of f.

inverse image   Given a function f and a subset Y of the range of f, the inverse image (under f) of Y is the set of all x such that f(x) is in Y.

isomorphism   A morphism that is both injective and surjective, that is, both “one-to-one” and “onto.” An isomorphism from a structure to itself is called an automorphism.

isotone function   A function that is order preserving and increasing.

Jordan Decomposition Theorem   If m is a signed measure, there exist unique positive measures m+ and m such that m = m+m, with m+ and m mutually singular. This is called the Jordan decomposition of m, and the measures m+ and m are called the positive and negative variations of m. The total variation of m is defined to be the sum of the positive and negative variations of m.

Kepler’s Laws   The laws of planetary motion discovered by Johannes Kepler. See the article for an exposition.

laws of exponents   The following rules govern the behavior of exponents:


Additionally, x0 = 1 for all x except 0, and 00 = 0 or is left undefined (i.e., it is an indeterminate form).
Cf. rational exponent.


laws of logarithms   The following rules governing the behavior of logarithms are easily derived, and very useful in calculations:
  • log A + log B = log (A×B)
  • log A – log B = log (A/B)
  • log Ap = p × log A
Students often confuse these rules, so it is worth memorizing them as “the sum of the logs is the log of the product – and not the product of the logs,” etc.


least upper bound   An upper bound which is less than or equal to every other upper bound.
Cf. greatest lower bound.


least upper bound axiom   “Any subset of the real numbers which has an upper bound has a least upper bound.” This axiom, together with the field axioms, completely characterizes the set of real numbers.
Cf. supremum.


Lebesgue measure   The unique measure m on the real line, generated by the outer measure whose value on intervals is the length of the intervals, is called Lebesgue measure.

L’Hospital’s Rule   If a limit is in one of the indeterminate formsinfinity over infinity” or ”zero over zero,” then we have


That is, the limit is the same after taking the derivatives of both the numerator and denominator. L’Hospital’s Rule may be applied as many times as needed. Students often misapply the Rule by using it when the limit is not in one of the above indeterminate forms. This often results in an incorrect evaluation of the limit.


limit   The concept of a limit is central to our modern understanding of the differential and integral calculus. Naively, an expression involving a variable limits to some value L if it becomes arbitrarily close to L for appropriate choices of the variable. See the article for a full exposition.

limit comparison test   A test for the convergence of a series. Refer to the related article for a complete description.

Related article: Series

limit point   Given a sequence of points ai , i = 1, 2, 3, ... , a point L is called a limit point of the sequence if every neighborhood of L contains all but finitely many of the ai .
If X is a metric space, then L is a limit point of X if a sequence from X may be chosen so that L is the limit point of that sequence. Limit points are not in general unique.
See also: accumulation point, perfect set.


line   Naively, “line” is a primitive concept, generally connoting a straight path through space. In mathematics this notion is abstracted formally in different ways depending on the type of mathematics under consideration.
Geometry: Euclid defined the term “line” as a point extended indefinitely in space. However, in modern Euclidean geometry, “line” is a primitive term, left purposely undefined, whose meaning is informed purely by the axioms in which the term appears.
Analytic geometry: Any set of ordered pairs (x, y) of all the points in the Cartesian plane satisfying an equation of the form ax + by + c = 0, where a, b, and c are real numbers. (There are three common and useful forms of this equation; see the entry for linear function.) This definition of the line may be generalized to a Euclidean space of n dimensions to include any set of ordered n-tuples (x1, x2, ..., xn) satisfying a1x1 + a2x2 + ... + anxn + c = 0. In polar coordinates a line is any set of all the ordered pairs (r, q) satisfying an equation of the form r = p sec (q - a), where p is the perpendicular distance from the pole to the line, and a is the angle of inclination of the line to the polar axis.


linear function   A polynomial function of degree one. The graph is a straight line. There are three special forms of the linear equation:


In the first form, called the slope-interecept form, m is the slope of the line and b is the y-intercept. In the second form, called the point-slope form, m is the slope of the line and (x 0, y 0) is any point on the line. In the third form a is the x-intercept and b is the y-intercept.


locally compact   A topological space is locally compact if every point of the space has a neighborhood whose closure is compact.

 





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interior – locally compact



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