Simplifying Algebraic Expressions - Algebra - Math Review - GMAT Quantitative Review

GMAT Quantitative Review

3.0 Math Review

3.2 Algebra

Algebra is based on the operations of arithmetic and on the concept of an unknown quantity, or variable. Letters such as x or n are used to represent unknown quantities. For example, suppose Pam has 5 more pencils than Fred. If F represents the number of pencils that Fred has, then the number of pencils that Pam has is image. As another example, if Jim”s present salary S is increased by 7%, then his new salary is 1.07S. A combination of letters and arithmetic operations, such as image, and image, is called an algebraic expression.

The expression image consists of the terms 19x2, −6x, and 3, where 19 is the coefficient of x2, −6 is the coefficient of x1, and 3 is a constant term (or coefficient of image). Such an expression is called a second degree (or quadratic) polynomial in x since the highest power of x is 2. The expression image is a first degree (or linear) polynomial in F since the highest power of F is 1. The expression

image is not a polynomial because it is not a sum of terms that are each powers of x multiplied by coefficients.

1. Simplifying Algebraic Expressions

Often when working with algebraic expressions, it is necessary to simplify them by factoring or combining like terms. For example, the expression image is equivalent to image, or 11x. In the expression image, 3 is a factor common to both terms: image. In the expression image, there are no like terms and no common factors.

If there are common factors in the numerator and denominator of an expression, they can be divided out, provided that they are not equal to zero.

For example, if image, then image is equal to 1; therefore,

image

To multiply two algebraic expressions, each term of one expression is multiplied by each term of the other expression. For example:

image

An algebraic expression can be evaluated by substituting values of the unknowns in the expression. For example, if image and image, then image can be evaluated as

image