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2D and 3D Measurements and Expansions
Authors: Bill Davis, Horacio Porta and Jerry Uhl ©1999
Producer: Bruce Carpenter
Publisher:
Distributor: ![]()
![[Graphics:Images/245syl_gr_4.gif]](http://cm.math.uiuc.edu/242syl_files/245syl_gr_4.gif)
Vectors. Adding and subtracting vectors. Tangent vectors, velocity vectors, and tangent lines.Length of a vector, dot product, and distance between two points. Perpendicular vectors. The push of one vector in the direction of another, and the formula
,
where
is the angle between
and
.
Velocity and acceleration. Bouncing light rays off curves. Pursuit models. Laser gunnery. Planetary motion. Parabolic reflectors, spherical reflec tors, and elliptical reflectors. Stealth technology.
![[Graphics:Images/245syl_gr_9.gif]](http://cm.math.uiuc.edu/242syl_files/245syl_gr_9.gif)
The cross product
of two 3D vector s. Lines and planes in 3D. Normal vectors for curved surfaces in 3D. Main unit normals, binormals.
Plotting tubes and corrugations. Using the normal vector to bounce light beams off surfaces. Kissing circles and curvature. Measurements with the cross product. Breakin g acceleration vectors into normal and tangential components. Programming routers to cut specified pieces out of sheet steel. Plotting on planes. Serious 3D plots: Tube s and ribbons.
![[Graphics:Images/245syl_gr_11.gif]](http://cm.math.uiuc.edu/242syl_files/245syl_gr_11.gif)
The gradient and the chain rule. Level curves, level surfaces and the gradient as normal vector. The gradient points in the direction of greatest initial increase.Using linearizations to help to explain the chain rule. How to use the gradient for maximization and minimization. The total differential.
Estimating whether a given function has a global maximizer, minimizer or both. Heat seeking missiles. Closest points, gradients and Lagrange's method. The Cobb-Douglas manufacturing model. Data Fit in two variables.
![[Graphics:Images/245syl_gr_12.gif]](http://cm.math.uiuc.edu/242syl_files/245syl_gr_12.gif)
Flow of vector fields along curves. Flow of vector fields across curves.
Differential equations and and their associated vector fields.
Gradient fields try to flow toward maximizers. . Looking for sinks (drains). Electric Fields. Normal components and flow across curves. Tangential components and flow along curves. Logistic harvesting. Plotting level curves. Gradient field versus Hamiltonian field.
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Measuring flow across a curve with the integral
.
Measuring flow along a curve with the integral
;
.
Measurements made with path integrals
.
Directed curves; path integrals, path independence and gradient fields.
Recognizing gradien t fields: the gradient test.
Path integrals: backwards and forwards. Water. Sources and sinks. Force fields. Work and how the physicists measure it.
![[Graphics:Images/245syl_gr_22.gif]](http://cm.math.uiuc.edu/242syl_files/245syl_gr_22.gif)
Gauss-Green formula. Using a 2D integral to measure flow across closed curves.
Using a 2D integral to measure flow along closed curves.Using the divergence of a vec tor field to identify sources and sinks. Flow across a closed curve and flow along a closed curve. Measurements in the presence of singularities.< br>
2D electric fields, dipole fields, and Gauss's law in physics.
when
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&nbs p;The Laplacian
and steady-state heat.
Maximum and minimum principle for functions
satisfying Laplace's equation
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Rotation and parallel flow.
![[Graphics:Images/245syl_gr_28.gif]](http://cm.math.uiuc.edu/242syl_files/245syl_gr_28.gif)
Going between
-paper and
-paper. Transforming 2D integrals: How you do it and why you do it. Linearizing the grids. Derivation of area conversion factor (Jacobian) via linearization.
How the plotting instructions reveal how to transform wicked 2D integrals into easy 2D integrals. Ribbons. More on flow measurements. Semi-log paper and log- log paper. What can happen at points at which the the area conversion factor (Jacobian) is zero. What information the sign of the area conversion factor (Jacobian) reve als. Streamlines for flow out of an open pipe. Streamlines for airfoils.
![[Graphics:Images/245syl_gr_31.gif]](http://cm.math.uiuc.edu/242syl_files/245syl_gr_31.gif)
3D integrals. Transforming wicked 3D integrals into easy 3D integrals. Volume measurements through transforming 3D integrals. Average value of a function.
How the plotting instructions reveal how to transform wicked 3D integrals into easy 3D integrals. Cylindrical coordinates. Centroids, and centers of mass. Cylinders, sp heres, and tubes: Plotting them and integrating on them. Switching the order of integration. Drilling and slicing spheres. The box prod uct for measuring the volume of 3D parallelepipeds.
![[Graphics:Images/245syl_gr_32.gif]](http://cm.math.uiuc.edu/242syl_files/245syl_gr_32.gif)
Spherical coordinates. Using spherical coordinates in 3D integration.
Using spherical coordinates to plot parts of spheres. Using spherical coordinates to plot cones and other surfaces. Earth-moon plots. Estimating the kill range of mobil e lazer cones. Inserting planes between disjoint spheres. Spherical coordinate art. Measurements in four and five dimensions.
![[Graphics:Images/245syl_gr_33.gif]](http://cm.math.uiuc.edu/242syl_files/245syl_gr_33.gif)
Divergence and Gauss's formula in 3D. Using the 3D divergence to identify sourses and sinks in 3D vector fields. Surface integrals. Using surface integrals to measure f low across 3D surfaces.
3D electric fields and Coulomb's law. Gauss's 3D formula versus flow calculation via surface integrals. Using Gauss's formula to avoid a calculational nightm are: Calculating flow across an oddball surface via calculating the flow across a substitute surface. Using Gauss's formula to take advantage of singularities: Calculat ing flow across the skin of a solid region via calculating the flow across a substitute sphere. Flux of the electric field and Gauss's electric law in 3D. The 3D Laplac ian
and steady-state heat.
Ma ximum and minimum principle for functions
satisfying Laplace's equation
.
![[Graphics:Images/245syl_gr_42.gif]](http://cm.math.uiuc.edu/242syl_files/245syl_gr_42.gif)
Measuring flow along a 3D curve via path integrals.The curl of a 3D vector field and what it measures. Orientation of surfaces. Stokes's formula i n 3D. Path dependence and independence. The gradient test in 3D.
Force fields and the relation between flow-along measurements and work. Using 3D path integrals to construct functions with a given gradient.
It's very beneficial for ChE students to take the Mathematica version of Math 285 [DiffEq] due to the broader amount of material that the DiffEq&M athematica lessons cover. In the standard textbook version of diffeq, students learn how to mostly solve diffeq's that ChE's will never encounter. In the real world, engineers encounter problems much more complex than seen in the standard version of diffeq but that often crop up in their DiffEq&Mathematica homework. Additionally, the students who take DiffEq&Mathematica will have an increased understanding of the physical meaning of what they are doing. By presenting the material in a graphical form and covering things like resonance and the predator-prey model, students won't just be presented some random formula. They will see an approach to the problem
Techs support both the lab machines and the software used in this program.
In the event of a problem, send an e-mail to tech@cm.math.uiuc.edu.