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algebra, branch of mathematics concerned with operations on sets of numbers or other elements that are often represented by symbols. Algebra is a generalization of arithmetic and gains much of its power from dealing symbolically with elements and operations (such as addition and multiplication) and relationships (such as equality) connecting the elements. Thus, *a*+*a*=2*a* and *a*+*b*=*b*+*a* no matter what numbers *a* and *b* represent.## Principles of Classical Algebra

## Principles of Modern Algebra

## Bibliography

In elementary algebra letters are used to stand for numbers. For example, in the equation *ax*^{2}+*bx*+c=0, the letters *a, b,* and *c* stand for various known constant numbers called coefficients and the letter *x* is an unknown variable number whose value depends on the values of *a, b,* and *c* and may be determined by solving the equation. Much of classical algebra is concerned with finding solutions to equations or systems of equations, i.e., finding the roots, or values of the unknowns, that upon substitution into the original equation will make it a numerical identity. For example, *x*=-2 is a root of *x*^{2}-2*x*-8=0 because (-2)^{2}-2(-2)-8=4+4-8=0; substitution will verify that *x*=4 is also a root of this equation.

The equations of elementary algebra usually involve polynomial functions of one or more variables (see function). The equation in the preceding example involves a polynomial of second degree in the single variable *x* (see quadratic). One method of finding the zeros of the polynomial function *f*(*x*), i.e., the roots of the equation *f*(*x*)=0, is to factor the polynomial, if possible. The polynomial *x*^{2}-2*x*-8 has factors (*x*+2) and (*x*-4), since (*x*+2)(*x*-4)=*x*^{2}-2*x*-8, so that setting either of these factors equal to zero will make the polynomial zero. In general, if (*x*-*r*) is a factor of a polynomial *f*(*x*), then *r* is a zero of the polynomial and a root of the equation *f*(*x*)=0. To determine if (*x*-*r*) is a factor, divide it into *f*(*x*); according to the Factor Theorem, if the remainder *f*(*r*)—found by substituting *r* for *x* in the original polynomial—is zero, then (*x*-*r*) is a factor of *f*(*x*). Although a polynomial has real coefficients, its roots may not be real numbers; e.g., *x*^{2}-9 separates into (*x*+3)(*x*-3), which yields two zeros, *x*=-3 and *x*=+3, but the zeros of *x*^{2}+9 are imaginary numbers.

The Fundamental Theorem of Algebra states that every polynomial *f*(*x*)=*a*_{n}*x*^{n}+*a*_{n-1}*x*^{n-1}+ … +*a*_{1}*x*+*a*_{0}, with *a*_{n}≠0 and *n*≥1, has at least one complex root, from which it follows that the equation *f*(*x*)=0 has exactly *n* roots, which may be real or complex and may not all be distinct. For example, the equation *x*^{4}+4*x*^{3}+5*x*^{2}+4*x*+4=0 has four roots, but two are identical and the other two are complex; the factors of the polynomial are (*x*+2)(*x*+2)(*x*+*i*)(*x*-*i*), as can be verified by multiplication.

Modern algebra is yet a further generalization of arithmetic than is classical algebra. It deals with operations that are not necessarily those of arithmetic and that apply to elements that are not necessarily numbers. The elements are members of a set and are classed as a group, a ring, or a field according to the axioms that are satisfied under the particular operations defined for the elements. Among the important concepts of modern algebra are those of a matrix and of a vector space.

See M. Artin, *Algebra* (1991).

The Columbia Electronic Encyclopedia Copyright © 2004.

Licensed from Columbia University Press

Licensed from Columbia University Press

Branch of algebra concerned with methods of solving systems of linear equations; more generally, the mathematics of linear transformations and vector spaces. “Linear” refers to the form of the equations involved—in two dimensions, *math.a**math.x* + *math.b**math.y* = *math.c*. Geometrically, this represents a line. If the variables are replaced by vectors, functions, or derivatives, the equation becomes a linear transformation. A system of equations of this type is a system of linear transformations. Because it shows when such a system has a solution and how to find it, linear algebra is essential to the theory of mathematical analysis and differential equations. Its applications extend beyond the physical sciences into, for example, biology and economics.

Learn more about linear algebra with a free trial on Britannica.com.

Encyclopedia Britannica, 2008. Encyclopedia Britannica Online.

Generalized version of arithmetic that uses variables to stand for unspecified numbers. Its purpose is to solve algebraic equations or systems of equations. Examples of such solutions are the quadratic formula (for solving a quadratic equation) and Gauss-Jordan elimination (for solving a system of equations in matrix form). In higher mathematics, an “algebra” is a structure consisting of a class of objects and a set of rules (analogous to addition and multiplication) for combining them. Basic and higher algebraic structures share two essential characteristics: (1) calculations involve a finite number of steps and (2) calculations involve abstract symbols (usually letters) representing more general objects (usually numbers). Higher algebra (also known as modern or abstract algebra) includes all of elementary algebra, as well as group theory, theory of rings, field theory, manifolds, and vector spaces.

Learn more about algebra with a free trial on Britannica.com.

Encyclopedia Britannica, 2008. Encyclopedia Britannica Online.

Symbolic system used for designing logic circuits and networks for digital computers. Its chief utility is in representing the truth value of statements, rather than the numeric quantities handled by ordinary algebra. It lends itself to use in the binary system employed by digital computers, since the only possible truth values, true and false, can be represented by the binary digits 1 and 0. A circuit in computer memory can be open or closed, depending on the value assigned to it, and it is the integrated work of such circuits that give computers their computing ability. The fundamental operations of Boolean logic, often called Boolean operators, are “and,” “or,” and “not”; combinations of these make up 13 other Boolean operators.

Learn more about Boolean algebra with a free trial on Britannica.com.

Encyclopedia Britannica, 2008. Encyclopedia Britannica Online.

B*-algebras are mathematical structures studied in functional analysis.
### General Banach *-algebras

A Banach *-algebra A is a Banach algebra over the field of complex numbers, together with a map * : A → A called involution which has the following properties:### B* algebras

A B*-algebra is a Banach *-algebra in which the involution satisfies the following further property: ## See also

## References

- (x + y)* = x* + y* for all x, y in A.
- $(lambda\; x)^*\; =\; bar\{lambda\}x^*$ for every λ in C and every x in A; here, $bar\{lambda\}$ denotes the complex conjugate of λ.
- (xy)* = y* x* for all x, y in A.
- (x*)* = x for all x in A.

In most natural examples, one also has that the involution is isometric, i.e.

- ||x*|| = ||x||,

- ||x x*|| = ||x||
^{2}for all x in A.

By a theorem of Gelfand and Naimark, given a B* algebra A there exists a Hilbert space H and an isometric *-homomorphism from A into the algebra B(H) of all bounded linear operators on H. Thus every B* algebra is isometrically *-isomorphic to a C*-algebra. Because of this, the term B* algebra is rarely used in current terminology, and has been replaced by the (overloading of) the term 'C* algebra'.

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