Thermodynamics, Linear Interpolation

AI Thread Summary
Linear interpolation is a method used to estimate values between two known data points on a thermodynamics chart. The process assumes that the two points are connected by a straight line, allowing for the calculation of an unknown value using the formula y - y1 = m (x - x1), where m is the slope. For a value x3 that lies between x1 and x2, the corresponding y3 can be calculated with the equation y3 = y1 + (x3 - x1)(y2 - y1)/(x2 - x1). This technique is essential for extracting data from thermodynamic tables when direct values are not available. Understanding linear interpolation enhances the ability to work with thermodynamic properties effectively.
CursedAntagonis
Messages
23
Reaction score
0

Homework Statement


I have been trying to learn how to use linear interpolation to find out the data needed from the thermodynamics chart, however, the book that is assigned does not even talk about it. Could someone please explain how linear interpolation is used? Thanks
 
Physics news on Phys.org
The assumption with linear interpolation is that the two points (x1, y1) and (x2, y2) are connected with a line. Using the two point equation of a line, we get:

y - y1 = m (x - x1), where m = (y2 - y1)/(x2 - x1)

Thus for x3 that is between x1 and x2, we get:

y3 = y1 + (x3 - x1) (y2 - y1)/(x2 - x1)
 

Similar threads

Replies
4
Views
3K
Replies
3
Views
4K
Replies
1
Views
2K
Replies
5
Views
2K
Replies
1
Views
7K
Replies
3
Views
2K
Replies
4
Views
4K
Replies
2
Views
2K
Back
Top