Chapter 03 - Limits and Continuity

  • Limit of the function, examples and definition
  • Theorem: Suppose (i) (X,dx) and (Y,dy) be two metric spaces (ii) EX (iii) f:EY i.e. f maps E into X (iv) p is the limit point of E. Then limxpf(x)=q iff limnf(pn)=q for every sequence {pn} in E such that pnp, limnpn=p.
  • Examples and exercies
  • Theorem: If limxcf(x) exists then it is unique.
  • Theorem: Suppose that a real valued function f is defined on an open interval G except possibly at cG. Then limxcf(x)=l if and only if for every positive real number ε, there is δ>0 such that |f(t)f(s)|<ε whenever s and t are in {x:|xc|<δ}.
  • Theorem (Sandwiching Theorem): Suppose that f, g and h are functions defined on an open interval G except possibly at cG. Let fhg on G. If limxcf(x)=limxcg(x)=l, then limxch(x)=l.
  • Theorem: (for sum, difference, product of limit of fuctions)
  • Continuity (in term of metric spaces)
  • Theorem: Let (i) X, Y, Z be metric spaces (ii) EX (iii) f:EY, g:f(E)Z and h:EZ defined by h(x)=g(f(x)). If f is continuous at pE and if g is continuous at the point f(p), then h is continuous at p.
  • Theorem: Let f be defined on X. If f is continuous at cX then there exists a number δ>0 such that f is bounded on the open interval (cδ,c+δ).
  • Theorem: Suppose f is continuous on [a, b]. If f(c)>0 for some c[a,b] then there exist an open interval G[a,b] such that f(x)>0 for all xG.
  • Theorem: A mapping of a metric space X into a metric space Y is continuous on X iff f1(V) is open in X for every open set V in Y.
  • Theorem: Let f1,f2,f3,...,fk be real valued functions on a metric space X and f_ be a mapping from X on to Rk defined by f_(x)=(f1(x),f2(x),f3(x),...,fk(x)), xX then f_ is continuous on X if and only if f1,f2,f3,...,fk are continuous on X.
  • Theorem: Suppose f is continuous on [a,b] (i) If f(a)<0 and f(b)>0 then there is a point c, a<c<b such that f(c)=0. (ii) If f(a)>0 and f(b)<0 then there is a point c, a<c<b such that f(c)=0.
  • Theorem (The intermediate value theorem): Suppose f is continuous on [a,b] and f(a)f(b), then given a number λ that lies between f(a) and f(b), there exists a point c,a<c<b with f(c)=λ.
  • Theorem: Suppose f is continuous on [a,b], then f is bounded on [a,b] (Continuity implies boundedness).
  • Uniform continuity and examples
  • Theorem: If f is continuous on a closed and bounded interval [a,b], then f is uniformly continuous on [a,b].
  • Theorem: Let f_ and g_ be two continuous mappings from a metric space X into Rk, then the mappings f_+g_ and f_g_ are also continuous on X, i.e. the sum and product of two continuous vector valued function are also continuous.
  • Discontinuities