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Linear approximation

 
Britannica Concise Encyclopedia: linear approximation

In mathematics, the process of finding a straight line that closely fits a curve (function) at some location. Expressed as the linear equation y = ax + b, the values of a and b are chosen so that the line meets the curve at the chosen location, or value of x, and the slope of the line equals the rate of change of the curve (derivative of the function) at that location. For most curves, linear approximations are good only very close to the chosen x. Yet much of the theory of calculus, including the fundamental theorem of calculus and the mean-value theorem for derivatives, is based on such approximations.

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Wikipedia: Linear approximation
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Tangent line at (a, f(a))

In mathematics, a linear approximation is an approximation of a general function using a linear function (more precisely, an affine function). They are widely used in the method of finite differences to produce first order methods for solving or approximating solutions to equations.

Contents

Definition

Given a twice continuously differentiable function f of one real variable, Taylor's theorem for the case n = 1 states that

 f(x) = f(a) + f'(a)(x - a) + R_2\

where R2 is the remainder term. The linear approximation is obtained by dropping the remainder:

 f(x) \approx f(a) + f'(a)(x - a).[1]

This is a good approximation for x when it is close enough to a. Since a curve, when closely observed, will begin to resemble a straight line. Therefore, the expression on the right-hand side is just the equation for the tangent line to the graph of f at (a,f(a)). For this reason, this process is also called the tangent line approximation.

Linear approximations for vector functions of a vector variable are obtained in the same way, with the derivative at a point replaced by the Jacobian matrix. For example, given a differentiable function f(x,y) with real values, one can approximate f(x,y) for (x,y) close to (a,b) by the formula

f\left(x,y\right)\approx f\left(a,b\right)+\frac{\partial f}{\partial x}\left(a,b\right)\left(x-a\right)+\frac{\partial f}{\partial y}\left(a,b\right)\left(y-b\right).

The right-hand side is the equation of the plane tangent to the graph of z = f(x,y) at (a,b).

In the more general case of Banach spaces, one has

 f(x) \approx f(a) + Df(a)(x - a)

where Df(a) is the Fréchet derivative of f at a.

To find an approximation of \sqrt[3]{25} one can do as follows.

  1. Consider the function  f(x)= x^{1/3}.\, Hence, the problem is reduced to finding the value of f(25).
  2. We have
    f'(x)=\frac{x^{-2/3}}{3}=\frac{1}{3\sqrt[3]{x^2}}
  3. According to linear approximation
     f(25) \approx f(27) + f\ '(27)(25 - 27) = 3 - 2/27.
  4. The result, 2.926, lies fairly close to the actual value 2.924…

See also

Applications

Category:First order methods

Notes

  1. ^ Some calculus textbooks write dx for xa (the change in x), and then define df:=f′(a)(xa) so as to have a numerical equality df = f′(a) dx. This may be useful as a mnemonic for the fact that f(x)−f(a) (the change in f) is approximated by f′(a)(xa), but it conflicts with the actual definition of df as a differential form.

References

  • Weinstein, Alan; Marsden, Jerrold E. (1984). Calculus III. Berlin: Springer-Verlag. p. 775. ISBN 0-387-90985-0. 
  • Strang, Gilbert (1991). Calculus. Wellesley College. p. 94. ISBN 0-9614088-2-0. 
  • Bock, David; Hockett, Shirley O. (2005). How to Prepare for the AP Calculus. Hauppauge, NY: Barrons Educational Series. p. 118. ISBN 0-7641-2382-3. 

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