Surfaces – on the level Lecture 7 MATH 2401 - Harrell Copyright 2008 by Evans M. Harrell II.

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Presentation transcript:

Surfaces – on the level Lecture 7 MATH Harrell Copyright 2008 by Evans M. Harrell II.

Congratulations to… (sinh(.4 t), cos(t), sin(t) cos(t))

 Cone  (x/a) 2 + (y/b) 2 = z 2  Paraboloid (elliptic)  (x/a) 2 + (y/b) 2 = z  Hyperboloid of two sheets  (x/a) 2 + (y/b) 2 - (z/c) 2 = - 1  Cylinders - no dependence on one of the variables  E.g., x 2 = y Surfaces - the great examples

 “Level curves”  “Contour plot”  “Traces”  “Sections” Surfaces as families of curves

 Topographic contours  Isobars: See   Isotherms: See  “Level curves” = “contours”

Mathematica, how are we doing?

 z 2 = (x 2 + y 2 ) Horizontal and vertical “sections”

 A x 2 + B y 2 + C z 2 + D xy + E xz + F yz + Hx + I y + J z + K =0  Is 1 x 2 -2 y z 2 -4 x + 5 y -6 z + 7 = 0 an ellipse, a cone, a hyperboloid...?  (There are only 9 possibilities) Distinguishing the quadrics

1. Ellipsoid 2. Hyperboloid of one sheet 3. Hyperboloid of two sheets 4. Elliptic cone 5. Elliptic paraboloid 6. Hyperbolic paraboloid 7. Parabolic cylinder 8. Elliptic cylinder 9. Hyperbolic cylinder Distinguishing the quadrics

1. Intercepts (with coordinate axes). 2. Traces (intersections with coordinate planes). 3. Sections ( intersections with general planes). 4. Symmetries, if any. 5. Center, if that makes sense. 6. Boundedness/unboundedness. Check for:

 z = (½) (y 2 - x 2 ) (hyperbolic paraboloid) A few examples

 z = x 2 + y/4 (parabolic cylinder)  Why is this a cylinder? – I see all three variables! A few examples

 z = x 2 + y/4 (parabolic cylinder) A few examples

 x y 2 + z 2 /4 + 2 xy – z/2 = 100 A few examples

Not every surface is quadric

Partial to partials MATH Harrell Copyright 2008 by Evans M. Harrell II.

Anatomy of the partial derivative

“F sub x”

Anatomy of the partial derivative “Dee F by dee x”

Why do we calculate partials? 1 Sometimes only interested in one variable. Example: If we only care how the concentration c(x,y) varies when we move in the x-direction, we want ∂c/∂x. This function still depends on y as well as x.

Why do we calculate partials? 1 Sometimes only interested in one variable. 2 Nature loves partial derivatives: aHeat equation bWave equation cPotential equation