Polynomial to represent a linear rectangle element

In summary, the equations presented in the conversation represent surfaces in two and three dimensions, and their values at certain points are used to define planes and lines. These equations can be derived using basic analytic geometry principles.
  • #1
bugatti79
794
1
Folks,

I have attached a picture illustrating the labelling of the linear reactangle element which can be represented by the following equation

##u(x,y)=c_1+c_2 x +c_3 y +c_4 xy## (1)

##u_1=u(0,0)=c_1##
##u_2=u(a,0)=c_1+c_2a##
##u_3=u(a,b)=c_1+c_2a+c_3b+c_4ab##
##u_4=u(0,b)=c_1+c_3b##

I don't really understand these equations. I mean, how is equation (1) derived to represent a rectangle and how is ##u_i## for ##i=1..4## derived?

Thanks
 

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  • #2
The function u(x,y) does not represent the rectangle itself. u(x,y) represents a surface which is defined over the area bounded by the rectangle. The functional values u1 - u4 are the values of u(x,y) at the corner points of the rectangle. The surface produced by u(x,y) will be a plane passing through the points u1 - u4.

The derivation of the element equations are given in most elementary intro to finite element analysis texts.
 
  • #3
SteamKing said:
The function u(x,y) does not represent the rectangle itself. u(x,y) represents a surface which is defined over the area bounded by the rectangle. The functional values u1 - u4 are the values of u(x,y) at the corner points of the rectangle. The surface produced by u(x,y) will be a plane passing through the points u1 - u4.

The derivation of the element equations are given in most elementary intro to finite element analysis texts.

OK. Taking a slight step back and looking at the triangular element case which can be desribed by the following expression

##f(x,y)=a+bx+cy##. What branch of mathematics are we looking at here, geometry? IM am interested to know how this simple equation was derived to represent a plane surface...

Thanks
 
  • #4
The equation a + bx + cy = 0, which corresponds to f(x, y) = 0, represents a line in two dimensions (the x-y plane).

The equation z = f(x, y) = a + bx + cy represents a plane in three dimensions. This is pretty basic analytic geometry.
 
Last edited:
  • #5
Mark44 said:
The equation a + bx + cy = 0, which corresponds to f(x, y) = 0, represents a line in two dimensions (the x-y plane).

So can one determine the equation of a line ##y=mx+c'## from above equation? If we re-arrange the above equation we get

##y=-a/c -bx/c##...?

thanks
 
  • #6
bugatti79 said:
So can one determine the equation of a line ##y=mx+c'## from above equation?
Usually, but not always. Equations that represent vertical lines can't be put in this form.
bugatti79 said:
If we re-arrange the above equation we get

##y=-a/c -bx/c##...?

thanks
 

Related to Polynomial to represent a linear rectangle element

What is a polynomial?

A polynomial is an algebraic expression that consists of variables, coefficients, and exponents. It is made up of one or more terms, with each term being a variable raised to a power and multiplied by a coefficient.

What is a linear rectangle element?

A linear rectangle element is a rectangular shape that is represented by a polynomial equation. It is typically used in mathematical models to represent a specific area or volume.

How is a polynomial used to represent a linear rectangle element?

A polynomial is used to represent a linear rectangle element by using the variables, coefficients, and exponents to define the dimensions and properties of the rectangle. The polynomial equation can then be used to calculate the area or volume of the rectangle.

What are some real-life applications of using a polynomial to represent a linear rectangle element?

Polynomials are commonly used in engineering and construction to model and design rectangular structures such as buildings, bridges, and roads. They are also used in economics and finance to represent revenue and cost functions for rectangular products or services.

What are the limitations of using a polynomial to represent a linear rectangle element?

While polynomials can accurately represent many linear rectangle elements, they may not be able to account for more complex shapes or irregularities in real-life scenarios. Additionally, polynomials can become increasingly complex and difficult to solve as the number of dimensions and variables increase.

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