Coefficient Explained

In mathematics, a coefficient is a multiplicative factor involved in some term of a polynomial, a series, or an expression. It may be a number (dimensionless), in which case it is known as a numerical factor.[1] It may also be a constant with units of measurement, in which it is known as a constant multiplier.[1] In general, coefficients may be any expression (including variables such as, and).[2] [1] When the combination of variables and constants is not necessarily involved in a product, it may be called a parameter.[1] For example, the polynomial

2x2-x+3

has coefficients 2, −1, and 3, and the powers of the variable

x

in the polynomial

ax2+bx+c

have coefficient parameters

a

,

b

, and

c

.

The, also known as constant term or simply constant, is the quantity not attached to variables in an expression or implicitly attached to the zeroth power of a variable; for example, the constant coefficients of the expressions above are the number 3 and the parameter c, involved in 3cx0. The coefficient attached to the highest degree of the variable in a polynomial is referred to as the leading coefficient; for example, in the expressions above, the leading coefficients are 2 and a, respectively.

In the context of differential equations, an equation can often be written as equating to zero a polynomial in the unknown functions and their derivatives. In this case, the coefficients of the differential equation are the coefficients of this polynomial, and are generally non-constant functions. A coefficient is a constant coefficient when it is a constant function. For avoiding confusion, the coefficient that is not attached to unknown functions and their derivative is generally called the constant term rather than the constant coefficient. In particular, in a linear differential equation with constant coefficient, the constant term is generally not supposed to be a constant function.

Terminology and definition

In mathematics, a coefficient is a multiplicative factor in some term of a polynomial, a series, or any expression. For example, in the polynomial7x^2-3xy+1.5+y,with variables

x

and

y

, the first two terms have the coefficients 7 and −3. The third term 1.5 is the constant coefficient. In the final term, the coefficient is 1 and is not explicitly written.

In many scenarios, coefficients are numbers (as is the case for each term of the previous example), although they could be parameters of the problem—or any expression in these parameters. In such a case, one must clearly distinguish between symbols representing variables and symbols representing parameters. Following René Descartes, the variables are often denoted by,, ..., and the parameters by,,, ..., but this is not always the case. For example, if is considered a parameter in the above expression, then the coefficient of would be, and the constant coefficient (with respect to) would be .

When one writes ax^2+bx+c,it is generally assumed that is the only variable, and that, and are parameters; thus the constant coefficient is in this case.

k

, where

ak,...c,a1,a0

are the coefficients. This includes the possibility that some terms have coefficient 0; for example, in

x3-2x+1

, the coefficient of

x2

is 0, and the term

0x2

does not appear explicitly. For the largest

i

such that

ai\ne0

(if any),

ai

is called the leading coefficient of the polynomial. For example, the leading coefficient of the polynomial4x^5 + x^3 + 2x^2is 4. This can be generalised to multivariate polynomials with respect to a monomial order, see .

Linear algebra

In linear algebra, a system of linear equations is frequently represented by its coefficient matrix. For example, the system of equations\begin 2x + 3y = 0 \\5x - 4y = 0\end,the associated coefficient matrix is

\begin{pmatrix} 2&3\\ 5&-4 \end{pmatrix}.

Coefficient matrices are used in algorithms such as Gaussian elimination and Cramer's rule to find solutions to the system.

The leading entry (sometimes leading coefficient) of a row in a matrix is the first nonzero entry in that row. So, for example, in the matrix\begin1 & 2 & 0 & 6\\0 & 2 & 9 & 4\\0 & 0 & 0 & 4\\0 & 0 & 0 & 0\end,the leading coefficient of the first row is 1; that of the second row is 2; that of the third row is 4, while the last row does not have a leading coefficient.

(x1,x2,...c,xn)

of a vector

v

in a vector space with basis

\lbracee1,e2,...c,en\rbrace

are the coefficients of the basis vectors in the expression v = x_1 e_1 + x_2 e_2 + \dotsb + x_n e_n .

See also

References

  1. Web site: ISO 80000-1:2009. International Organization for Standardization. 2019-09-15.
  2. Web site: Weisstein . Eric W. . Coefficient . 2020-08-15 . mathworld.wolfram.com . en.

Further reading