Semester 1 Definitions Flashcards
A metric space
A metric space is a pair (X,d) where X is a set and d:X x X -> R is a map such that for all x,y,z:
1:d(x,y) >= 0
2:d(x,y) = 0 => x = y
3:d(x,y) = d(y,x)
4:d(x,y) =< d(x,z) + d(z,y)
Open Ball
For any x£X and r>0:
B(x,r) = {y £ X |d(x,y) < r}
Closed Ball
For any x £ X and r > 0:
B(x,r) = {y £ X|d(x,y) =< r}
Bounded subset
A subset is called bounded if it is contained in some open ball
The diameter of a subset
d(A) := sup d(x,y) with x,y £ A
Internal Point
A point x £ A is an internal point if there exists r > 0 such that B(x,r) c A. Where A c X
Open set
A subset is called an open set if every point of A is an internal point
Interior
The set of all internal points of A c X
Limit point
A point x £ X is called a limit point of A if for any e > 0 there exists y £ Awithout{x} such that d(x,y) < e
Closed set
A is called a closed set if it contains all of its limit points
Closure
The union of A and the set of all of its limit points.
Convergent sequence
A sequence (Xn) of points in X is called convergent to x £ X if for any e>0 there exists N>0 such that:
d(Xn,x) < e for any n >= N
Converge pointwise
A sequence (Xn(t)) is said to converge pointwise to a function x(t) if for any t £ [a,b] we have lim n-inf Xn(t) = x(t)
Uniform convergence
A sequence (Xn(t)0 is said to converge uniformly to a function x(t) if for an e>0 there exists N>0:
|Xn(t) - x(t)|<e
for any n>=N for any t £ [a,b]
Difference between pointwise and uniform convergence
(1) Note that for pointwise convergence we can choose N depending on t, while for uniform convergence
we have to choose N that works for all t simultaneously (uniformly).
(2) Uniform convergence implies pointwise convergence.
(3) We can see from the previous example that uniform convergence is equivalent to the convergence
with respect to the metric d∞.
Continuous at a point
x £ X if for any e>0 there exists 6>0:
d(x,y)<6 => d’(f(x),f(y)) < e
Continuous
Every point is continuous
Lipschitz continuous
A map f:(X,d) -> (Y,d’) is called Lipschitz continuous if there exists L>= such that:
d’(f(x),f(y)) =< L.d(x,y) for any x,y £ X
Isometry
A map f:(X,d) -> (Y,d’) between two metric spaces is called an isometry if
d’(f(x),f(y)) = d(x,y)
Global Isometry
Bijective isometry
Cauchy Sequence
A sequence Xn in X is called a Cauchy sequence if for an e>0 there exists an N>0:
d(Xm,Xn) < e for any m,n >= N
Complete metric space
A metric space is called a complete metric space if every cauchy sequence in X converges in X
Dense
A subset A c X is called dense if the closure equals the whole set. A closure = X
Completion of a metric space
A completion of a metric space (X,d) is a complete metric space (X,d) together with an isometry i:X -> X* such that the closure of i(X) = X* (i(X) is dense in X*)
Contraction
A map is called a contraction if there exists 0<a<1 such that for any x,y £ X:
d(f(x),f(y)) =< a.d(x,y)
Fixed point
An element is called a fixed point of a map f:X -> X if f(x)=x