Linear relationship at small x

In summary: This suggests that the function is not dependent on x at small values, but as x increases, the function will start to vary.
  • #1
watertreader
23
0
in general, how do we show linear relationship over a small x of the equation?

Is the equation being able to be Taylor expand show itself as linear? likewise can we consider the series expansion at about x=0 (maclaurin series) to be linear too?


If not, is there any examples countering the above notion? appreciate if anyone can point out to how to substantiate an equation to be linear at small x?

thanks
 
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  • #2
You can use a linear function to approximate a given function by ignoring all terms of degree two and higher in the Taylor or Maclaurin series.

For example, the Maclaurin series for e^x is 1 + x + x^2/2! + ... The linear approximation, for small x (x close to 0) is y = 1 + x.
 
  • #3
just another query...if we have done a Maclaurin expansion on an equation ...the result is a0 + a2x^2 + a3 x^3 +...

does it still qualify to say that the equation is still linear? since the only terms in the expansion up to x terms are only a0

thankls
 
  • #4
In this one might say the best linear (more precisely affine) approximation at x = 0 is just a0, a horizontal line. This is because the derivative of the function at 0 is zero.
 
  • #5
watertreader said:
just another query...if we have done a Maclaurin expansion on an equation ...the result is a0 + a2x^2 + a3 x^3 +...

does it still qualify to say that the equation is still linear? since the only terms in the expansion up to x terms are only a0

thankls
No, that is not linear if you are including the x2 and x3 terms.
 
  • #6
Tedjn said:
In this one might say the best linear (more precisely affine) approximation at x = 0 is just a0, a horizontal line. This is because the derivative of the function at 0 is zero.

so if we take an approximation to a0, even if we made a small change to x, we will still obtain a straight line or a constant

Would this suggest that at small x, the function itself is not a function of x?

thanks
 
  • #7
For small x, y = a0 is a constant function of x.
 

FAQ: Linear relationship at small x

What is a linear relationship at small x?

A linear relationship at small x refers to a mathematical relationship between two variables where the change in one variable is directly proportional to the change in the other variable when the value of x is small. This means that when x is small, the relationship between the two variables can be represented by a straight line on a graph.

How is a linear relationship at small x represented?

A linear relationship at small x is often represented by a scatter plot or a line graph, with the values of x plotted along the horizontal axis and the values of the other variable plotted along the vertical axis. The resulting graph will show a straight line that passes through the points plotted on the graph.

What is the equation for a linear relationship at small x?

The equation for a linear relationship at small x is y = mx + b, where m is the slope of the line and b is the y-intercept. The slope of the line represents the rate of change between the two variables, while the y-intercept represents the value of y when x = 0.

What are some examples of linear relationships at small x in science?

Linear relationships at small x can be observed in many scientific fields, such as physics, chemistry, and biology. Some examples include the relationship between temperature and pressure in a gas, the relationship between time and distance in a moving object, and the relationship between concentration and absorbance in a chemical reaction.

How can linear relationships at small x be used in scientific research?

Linear relationships at small x are often used in scientific research to analyze and interpret data. By plotting the data points on a graph and observing the resulting line, scientists can determine the strength and direction of the relationship between the two variables. This information can then be used to make predictions, draw conclusions, and develop theories in various scientific fields.

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