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22 Cards in this Set
- Front
- Back
Linear Dependence
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A set in V is called linearly dependent if there is a finite set of elements in S, a set a scalars, not all zero, such that the sum of cx is zero.
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Linear Independence
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A set in V is called linearly independent if the sum of cx implies that all constants c are equal to zero.
Also, independent if and only if det does not equal 0. |
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Basis
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A finite set of elements in V the is independent and spans V.
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Dimension
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Linear space V has a basis of n elements, the integer n is called the dimension of V.
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Open Set
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A set A in Rn is called open if all its points are interior points.
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Differentiable Scalar Field
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We say that f is differentiable at a id there exists a linear transformation Ta:Rn--->R from Rn to R, and a scalar function E(a,v) such that f(a+v) = f(a) + Ta(v) + |v|E(a,v), there E(a,v)---->0 as |V|--->0. Ta is the total derivative.
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Chain Rule (scalar fields)
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Let f be a scalar field defined on open set S in Rn, and let r be a vector function which maps an interval J from R1 into S. Define the composite g=for on J by:
g(t) = f(r(t)) if t is in J. Let t be a point at which r'(t) exists and assume f is diff. at r(t). Then g'(t) exists and is equal to grad(f(r(t)))*r'(t). |
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Chain Rule (vector fields)
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Let f anf g be vector fields such that the composition is deinfed in the neighborhood of a point A. Assume that g is differentiable at a, with total derivative g'(a). Let b=g(a) and assume f differentiable at b, with total deriv. at f'(b). Then total deriv is given by:
h'(a)=f'(b)og'(a). |
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Sufficient Condition for the Equality of Mixed Partials
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Let f be a scalar field with all partials that exists on open set S. If (a,b) is a point at which both D12 and D21 are continuous, then D21=D12 at that point.
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Smooth
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J=[a,b] be a finite closed interval in R1. The path is smooth if the derviative exists and is continuous in the open interval (a,b). The path is called peicewise smooth is the interval [a,b] can partitioned into a finite number of subintervals in each of which the path is smooth.
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Connectedness
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The S is connected if every pair of points in S can be joined by a piecewise smooth path whose path lies in S.
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Second Fundamental Theorem of Calculus
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Let P be a differentiable scalar field with a continuous gradient grad(P) on an open connected set S in Rn. Then for any two points a and b joined by a peicewise smooth path in S we have:
integral from a to b of grad(P)*ds = P(b)-P(a). |
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First Fundamental Theorem of Calculus
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Let f be a vector field that is continuous on an open connected set S in Rn, and assume that the line integrals of f is independent of the path in S. Let a be a fixed point of A and define a scalar field P on S by the equation
p(x) = integral from a to x of f*dr where r is any piecewise smooth path in S joining a to x. Then the gradient exists and is equal to f; that is, grad(P)=f(x) for all x in S. |
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Necessary and Sufficient Conditions for a Vector Field to be a Gradient
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f is a vector field continuous on open connected set S in Rn. Then the 3 statements are equal:
-f is the gradient of some potential function. -The line integral of f is independent of path in S. -The line integral of f is zero around every piecewise smooth closed path. |
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Step Function
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A function f defined on a rectangle Q is said to be a step function if a partition P of Q exists such that f is constant on each of the open subrectangles of P.
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Integral of a Bounded Function over a Rectangle
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If there is one and only one number I such that double int of S =< I =< double int of T for every pair of step functions satifying these inequalities, this number I is called the double integral of f over Q.
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Integrability of Continuous Fns
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If a function f is continuous on a rectangle Q = [a,b]x[c,d], then f is integrable on Q.
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Bounded Set of Content Zero
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A is a bounded subset of a plane. A has content zero is for every E>0 there is a finite set a rectangle whose union contains A and the sum of whose areas does not exceed epsilon.
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Green's Theorem
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Let P and Q be scalar fields that are continuously differentiable on an open set S in the xy-plane. Let C be a piecewise smooth Jordan curve, and let R denote the union of C and its interior. Assume R is a subset of S. Then we have: (already know it).
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Stokes' Theorem
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-S is smooth simple parametric surface, T is a region in the uv-plane bounded by a peicewise smooth Jordan curve.
-Assume r is one-to-one. -r is in C2 on an open set. -P Q R continuously differentiable scalar fields on S. |
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Condition for Gradient Fields
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Let F be cont. diff. vector field on open convex set in R3. Then F is a gradient on S iff curlF = 0 on S.
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Divergence Theorem
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-Solid bounded by an orientable closed surface A.
-n= unit outer normal -F in continuously differentiable. |