Parametrization of a Parallelogram: Mapping Rectangles onto Planar Regions

In summary, the conversation discusses showing that four given points are coplanar and the vertices of a parallelogram, and using this information to map the vertices, edges, and interior of a rectangle onto the vertices, edges, and interior of a closed planar region. The linear map used for this parametrization is also provided.
  • #1
za3raan
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Homework Statement



(a) Show that the four points r1 = (1, 0, 1), r2 = (4, 3, 5), r3 = (6, 4, 6) and
r4 = (3, 1, 2) are coplanar and the vertices of a parallelogram. Let S
be the closed planar region given by the interior and boundary of this
parallelogram. An arbitrary point of S can be written as the convex linear
combination

[itex]\sum a_{j}r_{j}[/itex] for j= 1 to j=4 [itex]\sum a_{j}=1[/itex] [itex]0<a_{j}<1[/itex]

Show that the vertices, edges and interior of the rectangle R = [0, 1]×[0, 1]
are mapped onto the vertices, edges and interior of S by the linear map
(parametrization) r = r(u, v) : R → S

r = (x, y, z) = (1 + 3u + 2v, 3u + v, 1 + 4u + v), (u, v) ∈ [0, 1] × [0, 1]

Homework Equations



Not sure

The Attempt at a Solution



I've shown that the four points are coplanar and the vertices of a parallelogram, however I really have no idea about the rest. Some guidance would be very much appreciated!
 

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  • #2
Sorry! I just saw that we can't use attachments to present question. I've edited the above post with the full question.
 

Related to Parametrization of a Parallelogram: Mapping Rectangles onto Planar Regions

What is Vector Calculus?

Vector calculus is a branch of mathematics that deals with the study of vectors and vector fields. It involves the use of multivariable calculus to understand the properties and behavior of vectors and their derivatives in a three-dimensional space.

What are surfaces in Vector Calculus?

In Vector Calculus, surfaces refer to two-dimensional objects in a three-dimensional space. These surfaces can be described using equations or parametric equations, and their properties can be studied using vector calculus techniques such as partial derivatives and line integrals.

What is the difference between a scalar field and a vector field?

A scalar field is a mathematical function that assigns a scalar value to every point in a space. On the other hand, a vector field is a mathematical function that assigns a vector to every point in a space. Scalar fields are used to represent quantities such as temperature or pressure, while vector fields are used to represent quantities with both magnitude and direction, such as force or velocity.

How is the gradient of a scalar field related to a vector field?

The gradient of a scalar field represents the rate of change of the scalar field in a particular direction. It is a vector field, where the direction of the vector points in the direction of the greatest increase of the scalar field. In other words, the gradient of a scalar field is perpendicular to the level curves of the scalar field.

How is Vector Calculus used in real-world applications?

Vector calculus has a wide range of applications in physics, engineering, and computer science. It is used to describe the motion of objects, the flow of fluids, and the behavior of electromagnetic fields. It is also used in computer graphics and machine learning for image and signal processing. Additionally, vector calculus plays a crucial role in understanding and solving optimization problems.

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