Linear approximation for one variable: Difference between revisions
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It's clear that the tangent line is a good approximation of the function if we consider a certain margin of error. The graph clearly shows that beyond a certain margin the error is too great. One way to think about it is to consider how hard it is to calculate the value of a function. It may be feasible to consider that between two points we can disregard the precision and use a function that is easier or faster to calculate. | It's clear that the tangent line is a good approximation of the function if we consider a certain margin of error. The graph clearly shows that beyond a certain margin the error is too great. One way to think about it is to consider how hard it is to calculate the value of a function. It may be feasible to consider that between two points we can disregard the precision and use a function that is easier or faster to calculate. | ||
Suppose we are given two points and want to find the equation of the line that passes through them: <math>(x_0, \ y_0)</math> and <math>(x_1, \ y_1)</math>. The angular coefficient is given by <math>\frac{x_1 - x_0}{y_1 - y_0}</math>. | |||
Affine functions are of the form <math>f(x) = ax + b</math>, where <math>a</math> is the angular coefficient, the tangent, and <math>b</math> is the vertical coordinate when the graph intersects the vertical axis. The angular coefficient of <math>L(x)</math> is <math>f'(p)</math>. The vertical coordinate is <math>f(p)</math> | Affine functions are of the form <math>f(x) = ax + b</math>, where <math>a</math> is the angular coefficient, the tangent, and <math>b</math> is the vertical coordinate when the graph intersects the vertical axis. The angular coefficient of <math>L(x)</math> is <math>f'(p)</math>. The vertical coordinate is <math>f(p)</math> |
Revision as of 02:45, 2 March 2022
Most textbooks explain the idea of finding the tangent line at a certain point of a function. The geometric idea is that if you consider a very small interval, the function can be approximated by a linear function. Some textbooks give the idea of zooming in a function's graph. If we take a parabola and zoom in enough, a small piece of it should be rendered as a straight line on a computer's screen. That's the whole geometric idea of the derivative.
With calculus we are always plotting graphs over an euclidean space. In euclidean geometry the shortest distance between two points is always a straight line. This is one reason to explain why we have the problem of finding a tangent line. Between two points we have infinitely many paths, but among all of them there is one that is a straight line and it happens to minimize the distance travelled between the two points. Not every teacher mentions this and there is also a problem of schedule. Time is often too short to teach this.
It's clear that the tangent line is a good approximation of the function if we consider a certain margin of error. The graph clearly shows that beyond a certain margin the error is too great. One way to think about it is to consider how hard it is to calculate the value of a function. It may be feasible to consider that between two points we can disregard the precision and use a function that is easier or faster to calculate.
Suppose we are given two points and want to find the equation of the line that passes through them: [math]\displaystyle{ (x_0, \ y_0) }[/math] and [math]\displaystyle{ (x_1, \ y_1) }[/math]. The angular coefficient is given by [math]\displaystyle{ \frac{x_1 - x_0}{y_1 - y_0} }[/math].
Affine functions are of the form [math]\displaystyle{ f(x) = ax + b }[/math], where [math]\displaystyle{ a }[/math] is the angular coefficient, the tangent, and [math]\displaystyle{ b }[/math] is the vertical coordinate when the graph intersects the vertical axis. The angular coefficient of [math]\displaystyle{ L(x) }[/math] is [math]\displaystyle{ f'(p) }[/math]. The vertical coordinate is [math]\displaystyle{ f(p) }[/math]