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math104-s21:s:vpak [2021/05/10 16:20]
68.186.63.173 [Summary of Material]
math104-s21:s:vpak [2022/01/11 10:57] (current)
pzhou ↷ Page moved from math104-2021sp:s:vpak to math104-s21:s:vpak
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 If f\bold{f} is differentiable at x, then f\bold{f} is also continuous at x. \\  If f\bold{f} is differentiable at x, then f\bold{f} is also continuous at x. \\ 
 If f\bold{f} is differentiable on interval I\bold{I}, and g\bold{g} is differentiable on range(f\bold{f}),  then h\bold{h} == g(f)\bold{g(\bold{f})} is differentiable on I\bold{I} If f\bold{f} is differentiable on interval I\bold{I}, and g\bold{g} is differentiable on range(f\bold{f}),  then h\bold{h} == g(f)\bold{g(\bold{f})} is differentiable on I\bold{I}
 +
 +A real function f\bold{f} has a //local maximum// at point p if there exists δ\delta >> 0 such that f(y)\bold{f(y)} \leq f(x)\bold{f(x)} for any y where d(x,y) << δ\delta. \\ 
 +If f\bold{f} has a local maximum at x, and if $\bold{f'(x)}exists,then exists, then \bold{f'(x)} =$ 0.
 +
 +**Mean Value Theorem.** If f\bold{f} is a real continuous function on [a,b], and is differentiable on (a,b), then there exists an x \in (a,b) such that \\ 
 +f(b)\bold{f(b)} - f(a)\bold{f(a)} == (b - a) $\bold{f'(x)}Thegeneralizedtheoremfor \\ The generalized theorem for \bold{f}and and \bold{g}$ continuous real functions on [a,b] is \\ 
 +(f(b)\bold{f(b)} - f(a)\bold{f(a)}) $\bold{g'(x)} =( (\bold{g(b)} - \bold{g(a)})) \bold{f'(x)}$
 +
 +**Theorem 5.12.** Suppose f\bold{f} is real differentiable function on [a,b], and $\bold{f'(a)} < \lambda < \bold{f'(b)}.Thenthereexistsx. Then there exists x \in(a,b)suchthat (a,b) such that \bold{f'(x)} = \lambda$.
 +
 +A function f\bold{f} is said to be //smooth// on interval I if \forall x \in I, \forall k \in N\N, fk\bold{f^k} exists. 
 +
 +**L'Hopital Rule.** limxa\lim\limits_{x \to a} f(x)g(x)\frac{\bold{f(x)}}{\bold{g(x)}} == limxa\lim\limits_{x \to a} $\frac{\bold{f'(x)}}{\bold{g'(x)}}$ if either 
 +  * f(x)\bold{f(x)} \to 0 and g(x)\bold{g(x)} \to 0 as x \to a
 +  * g(x)\bold{g(x)} \to \infin as x \to a
 +
 +**Taylor's Theorem.** Let f\bold{f} be a real function on [a,b], assume fn1\bold{f^{n-1}} is continuous and fn\bold{f^n} exists, and for any distinct α\alpha, β\beta \in [a,b] define \\ 
 +P(t) == k=0n1\displaystyle\sum_{k=0}^{n-1} fk(α)k!\frac{\bold{f^k(\alpha)}}{k!} (t - α\alpha)<sup>k</sup> \\ 
 +Then there exists a point x between α\alpha and β\beta such that \\ 
 +f(β)\bold{f(\beta)} == P(β\beta) ++ fn(x)n!\frac{\bold{f^n(x)}}{n!} (β\beta - α\alpha)<sup>n</sup> \\ 
 +Note Taylor Series on smooth functions may not converge, and may not be equal to original function f(x).
 +
 +A //partition// P of [a,b] is the finite set of points where a==x<sub>0</sub>\leqx<sub>1</sub>\leq...x<sub>n</sub>==b \\ 
 +Let α\alpha be a weight function that is monotonically increasing. Define \\ 
 +U(P, f, α\alpha) == i=0n\displaystyle\sum_{i=0}^{n} M<sub>i</sub> Δα\Delta{\alpha}<sub>i</sub> \\ 
 +L(P, f, α\alpha) == i=0n\displaystyle\sum_{i=0}^{n} m<sub>i</sub> Δα\Delta{\alpha}<sub>i</sub> \\ 
 +where M<sub>i</sub> is the sup\sup and m<sub>i</sub> is the inf\inf over that subinterval. \\ 
 +If inf\inf U(P, f, α\alpha) == sup\sup L(P, f, α\alpha) over all partitions, then the //Riemann integral// of f with respect to α\alpha on [a,b] exists \\ 
 +abf(x)dα(x)\int_a^b f(x)d{\alpha}(x)
 +
 +A //refinement// Q of P contains all the partition points in P, with additional points. \\ 
 +If U(P, f, α\alpha) - L(P, f, α\alpha) << ϵ\epsilon, then U(Q, f, α\alpha) - L(Q, f, α\alpha) << ϵ\epsilon. In other words, refinements maintain the condition for integrability.
 +
 +**//Key Theorems: //** \\ 
 +  * If f is continuous on [a,b], then f is integrable on [a,b].
 +  * If f is monotonic on [a,b] and if α\alpha is continuous on [a,b], then f is integrable on [a,b].
 +  * Suppose f is bounded and has finitely many discontinuities on [a,b]. If α\alpha is continuous at every point of discontinuity, then f is integrable. 
 +  * If f is integrable on [a,b] and g is continuous on the range of f, then h == g(f) is integrable on [a,b].
 +  * If a$<ss<$b, f is bounded, f is continuous at s, and α\alpha(x) == I(x-s) where I is the //unit step function//, then abfdα\int_a^b fd{\alpha} == f(s)
 +  * Suppose α\alpha increases monotonically, α\alpha' is integrable on [a,b], and f is bounded real function on [a,b]. Then f is integrable with respect to α\alpha if and only if fα\alpha' is integrable: \\ abfdα\int_a^b fd{\alpha} == $\int_a^b f(x){\alpha}'(x)d(x)$
 +  * Let f be integrable on [a,b] and for a\leqx\leqb, let F(x) == axf(t)dt\int_a^x f(t)dt, then \\ (1) F(x) is continuous on [a,b] \\ (2) if f(x) is continuous at p \in [a,b], then F(x) is differentiable at p, with F'(p) == f(p)
 +
 +**Fundamental Theorem of Calculus.** Let ff be integrable on [a,b][a,b] and FF be a differentiable function on [a,b] such that $F'(x) = f(x),then, then \int_a^b f(x)dx = F(b) - F(a)$ 
 +
 +Let α\alpha be increasing weight function on [a,b][a,b]. Suppose fnf_n is integrable, and fnf_n \to ff uniformly on [a,b][a,b]. Then ff is integrable, and \\ 
 +abfdα\int_a^b fd{\alpha} == limn\lim\limits_{n \to \infin} abfndα\int_a^b f_{n}d{\alpha}
 +
 +Suppose {fnf_n} is a sequence of differentiable functions on [a,b][a,b] such that fnf_n \to gg uniformly and there exists p \in [a,b][a,b] where {fn(p)f_n(p)} converges. Then fnf_n converges to some ff uniformly, and \\ 
 +$f'(x) = g(x) = \lim\limits_{n \to \infin} f'_{n}(x)$ \\ 
 +Note $f'_{n}(x)$ may not be continuous.
 +
 +==== Questions ====
 +
 +**1. What **
 +
 +
 +
  
  
  
  
math104-s21/s/vpak.1620688823.txt.gz · Last modified: 2021/05/10 16:20 by 68.186.63.173