2025-10-20

Math Analysis Homework - Week 5

Math Analysis Homework - Week 5

Class 1

T1

i=0nain+1i=0    x0(0,1),i=0naix0ni=0\begin{gathered} \sum _{i = 0} ^{n} \dfrac{a_i}{n+1-i}=0 \\ \implies \exists x_0\in(0,1),\sum _{i = 0} ^{n} a_ix_0^{n-i}=0 \end{gathered}
let f(x)=i=0naixnilet F(x)=i=0naixni+1ni+1F(0)=0,F(1)=i=0nain+1i=0 Rolle’s Theorem ξ(0,1),f(ξ)=F(ξ)=0    x0=ξ\begin{gathered} \text{let } f(x)=\sum _{i = 0} ^{n} a_ix^{n-i} \\ \text{let } F(x)=\sum _{i = 0} ^{n} \dfrac{a_ix^{n-i+1}}{n-i+1} \\ F(0)=0,F(1)=\sum _{i = 0} ^{n} \dfrac{a_i}{n+1-i} =0 \\ \stackrel{\text{ Rolle's Theorem }}{\Longrightarrow} \exists \xi \in (0,1),f(\xi)=F'(\xi)=0 \\ \implies x_0=\xi \end{gathered}

T2

{f(x)C[a,b]x(a,b),f(x)f(a)=f(b)=0    {a>0    ξ(a,b),f(ξ)=f(ξ)ξλ,ξ,f(ξ)=λf(ξ)\begin{gathered} \begin{cases} f(x)\in C[a,b] \\ \forall x\in (a,b),\exists f'(x) \\ f(a)=f(b)=0 \end{cases} \\ \implies \begin{cases} a>0 \implies \exists \xi\in(a,b),f'(\xi)=\dfrac{f(\xi)}{\xi} \\ \forall \lambda,\exists \xi,f'(\xi)=\lambda f(\xi) \end{cases} \end{gathered}

(1)

let F(x)=f(x)xF(a)=F(b)=0 Rolle’s Theorem ξ(a,b),F(ξ)=0    F(ξ)=f(ξ)ξf(ξ)ξ2=0    f(ξ)=f(ξ)ξ\begin{gathered} \text{let } F(x)=\dfrac{f(x)}{x} \\ F(a)=F(b)=0 \\ \stackrel{\text{ Rolle's Theorem }}{\Longrightarrow}\exists \xi\in (a,b),F'(\xi)=0 \\ \implies F'(\xi)=\dfrac{f'(\xi)\xi-f(\xi)}{\xi^2} =0 \\ \implies f'(\xi)=\dfrac{f(\xi)}{\xi} \end{gathered}

(2)

let F(x)=eλxf(x)F(a)=F(b)=0    ξ(a,b),F(ξ)=0    x=ξ,F(x)=eλx(f(x)λf(x))=0    f(x)=λf(x)\begin{gathered} \text{let } F(x)=e^{-\lambda x}f(x) \\ F(a)=F(b)=0 \implies \exists \xi \in (a,b),F'(\xi)=0 \\ \implies x=\xi, F'(x)=e^{-\lambda x}(f'(x)-\lambda f(x))=0 \\ \implies f'(x)=\lambda f(x) \end{gathered}

T3

{x[0,1],f(x)f(0)=f(1)=0F(x)=x2f(x)    ξ(0,1),F(ξ)=0\begin{gathered} \begin{cases} \forall x\in [0,1],\exists f'''(x) \\ f(0)=f(1)=0 \\ F(x)=x^2f(x) \end{cases}\implies \exists \xi\in (0,1),F'''(\xi)=0 \end{gathered}
F(x)=2xf(x)+x2f(x)F(x)=2f(x)+4xf(x)+x2f(x)F(0)=0,F(1)=0 Rolle’s Theorem x1(0,1),F(x1)=0F(0)=0,F(x1)=0 Rolle’s Theorem x2(0,x1),F(x2)=0F(0)=0,F(x2)=0 Rolle’s Theorem ξ(0,x2)(0,1),F(ξ)=0\begin{gathered} F'(x)=2xf(x)+x^2f'(x) \\ F''(x)=2f(x)+4xf'(x)+x^2f''(x) \\ F(0)=0,F(1)=0 \\ \stackrel{\text{ Rolle's Theorem }}{\Longrightarrow}\exists x_1\in (0,1),F'(x_1)=0 \\ F'(0)=0,F'(x_1)=0 \\ \stackrel{\text{ Rolle's Theorem }}{\Longrightarrow}\exists x_2\in (0,x_1),F''(x_2)=0 \\ F''(0)=0,F''(x_2)=0 \\ \stackrel{\text{ Rolle's Theorem }}{\Longrightarrow}\exists \xi \in (0,x_2) \subset (0,1),F'''(\xi)=0 \end{gathered}

T4

{x(0,a),f(x)f(0+)=+    f(x) has no lower bound on the right-hand neibourhood of 0\begin{gathered} \begin{cases} \forall x\in (0,a),\exists f'(x) \\ f(0^+)=+\infty \end{cases} \\ \implies f'(x) \text{ has no lower bound on the right-hand neibourhood of } 0 \end{gathered}
limx0+f(x)=+{an},an(0,1),an<an1,limnan=0,limnf(an)=+M>0,i,k>i s.t. f(ak)>f(ai)+M    ξ(ak,ai),f(ξ)=f(ak)f(ai)akai<MQ.E.D\begin{gathered} \lim_{x \to 0^+} f(x)=+\infty \\ \exists \{ a_n \},a_n\in (0,1),a_n<a_{n-1},\lim_{n \to \infty} a_n=0,\lim_{n \to \infty} f(a_n)=+\infty \\ \forall M>0,i,\exists k>i \ s.t.\ f(a_k)>f(a_i)+M \\ \implies \exists \xi \in (a_k,a_i),f'(\xi)=\dfrac{f(a_k)-f(a_i)}{a_k-a_i} <-M \\ \\ \text{Q.E.D} \end{gathered}

T5

{fC[a,b]x(a,b),f(x)f is not constant or linear function    ξ(a,b),f(ξ)>f(b)f(a)ba\begin{gathered} \begin{cases} f \in C[a,b] \\ \forall x\in(a,b),\exists f'(x) \\ f \text{ is not constant or linear function} \\ \end{cases} \\ \implies \exists \xi \in (a,b),\vert f'(\xi) \vert >{\left \vert \dfrac{f(b)-f(a)}{b-a} \right \vert} \end{gathered}

不妨设f(b)>f(a)f(b)>f(a)

let k=f(b)f(a)ba=x0,f(x0)(x0a)k+f(a)f(b)f(a)ba=f(b)f(x0)+f(x0)f(a)bx0+x0a is bewteen f(x0)f(a)x0a,f(b)f(x0)bx0f(x) Lagrange Mean Value Theorem x1,f(x1)=f(x0)ax0ax2,f(x2)=f(b)f(x0)bx0\begin{gathered} \\ \text{let } k=\dfrac{f(b)-f(a)}{b-a}= \exist x_0,f(x_0)\ne (x_0-a)k+f(a) \\ \dfrac{f(b)-f(a)}{b-a}=\dfrac{f(b)-f(x_0)+f(x_0)-f(a)}{b-x_0+x_0-a} \text{ is bewteen } \\ \dfrac{f(x_0)-f(a)}{x_0-a} ,\dfrac{f(b)-f(x_0)}{b-x_0} \\ f(x)\stackrel{\text{ Lagrange Mean Value Theorem }}{\Longrightarrow} \\ \exists x_1,f'(x_1)=\dfrac{f(x_0)-a}{x_0-a} \\ \exists x_2,f'(x_2)=\dfrac{f(b)-f(x_0)}{b-x_0} \\ \end{gathered}

k\vert k \vertf(x1),f(x2)f'(x_1),f'(x_2)之间,取绝对值大的一个即可.

T6

{x[a,+),f(x)f(a)=0xa    f(x)f(x)    x[a,+),f(x)=0\begin{gathered} \begin{cases} \forall x\in [a,+\infty),\exists f'(x) \\ f(a)=0 \\ x \ge a \implies \vert f'(x) \vert \le \vert f(x) \vert \end{cases} \\ \implies \forall x\in [a,+\infty),f(x)=0 \end{gathered}

不妨设a=0a=0

let F(x)=e2xf2(x)0F(x)=2e2xf(x)(f(x)f(x))0x>a=0,F(x)F(a)F(x)0    F(x)=0,f(x)=0\begin{gathered} \text{let } F(x)=e^{-2x}f^2(x)\ge 0 \\ F'(x)=2e^{-2x}f(x)(f'(x)-f(x))\le 0 \\ \forall x>a=0,F(x)\le F(a) \\ \because F(x)\ge 0 \\ \implies F(x)=0,f(x)=0 \end{gathered}

Solution2:

假设f(x)f(x)不为00,那么存在一个点的邻域(c,d)(c,d),f(c)=0f(c)=0f(x)>0,x(c,d)f(x)>0,\forall x\in (c,d).于是令 g(x)=lnf(x)g(x)=\ln \vert f(x) \vert,得到g(x)1\vert g'(x)\vert\le 1,这意味这gg有界,但是g(c+)g(c^+)-\infty,矛盾.

T7

{fC[a,b]x(a,b),f(x)f(a)=f(b)=0f+(a)>0    ξ(a,b),f(ξ)<0\begin{gathered} \begin{cases} f\in C[a,b] \\ \forall x\in(a,b),\exists f''(x) \\ f(a)=f(b)=0 \\ f'_+(a)>0 \end{cases} \\ \implies \exists \xi \in (a,b),f''(\xi)<0 \end{gathered}
f(a)=f(b)=0 Rolle’s Theorem x1(a,b),f(x1)=0f(x)    f(x)C(a,b)f+(a)>0    x2(a,a+δ),f(x2)>0ξ(x2,x1)(a,b),f(ξ)=f(x1)f(x2)x1x2<0\begin{gathered} f(a)=f(b)=0 \\ \stackrel{\text{ Rolle's Theorem }}{\Longrightarrow}\exists x_1\in(a,b),f'(x_1)=0 \\ \exists f''(x) \implies f'(x) \in C(a,b) \\ f'_+(a)>0 \implies \exists x_2 \in (a,a+\delta),f'(x_2)>0 \\ \exists \xi \in (x_2,x_1) \subset (a,b),f''(\xi)=\dfrac{f'(x_1)-f'(x_2)}{x_1-x_2} <0 \end{gathered}

T8

x(0,+),f(x)limx+f(x)=+    f(x) is not uniformly continuous in (0,+)\begin{gathered} \forall x \in (0,+\infty),\exists f'(x) \\ \lim_{x \to +\infty} f'(x)=+\infty \end{gathered} \\ \implies f(x) \text{ is not uniformly continuous in } (0,+\infty)
limx+f(x)=+ϵ=1δlet M=2δ    X,x>X    f(x)>Mx>M,f(x+δ)f(x)=δf(ξ)>2>ϵQ.E.D\begin{gathered} \lim_{x \to +\infty} f'(x)=+\infty \\ \epsilon=1 \\ \forall \delta \\ \text{let } M=\dfrac{2}{\delta} \implies \exists X,x>X \implies f'(x)>M \\ \forall x>M,\vert f(x+\delta)-f(x) \vert = \vert \delta f'(\xi) \vert >2>\epsilon \\ \\ \text{Q.E.D} \end{gathered}

T9

{limxx0+f(x)=f(x0)x(x0,x0+δ0),f(x)f(x0+)    f+(x0)=f(x0+)\begin{gathered} \begin{cases} \lim_{x \to x_0^+} f(x)=f(x_0) \\ \forall x \in (x_0,x_0+\delta_0),\exists f'(x) \\ \exists f'(x_0^+) \end{cases} \\ \implies f'_+(x_0)=f'(x_0^+) \end{gathered}
 Lagrange Mean Value Theorem f(x0+h)f(x0)h=f(ξ),ξ(x0,x0+h)f+(x0)=limh0+f(x0+h)f(x0)h=limξx0+f(ξ)=f(x0+)\begin{gathered} \stackrel{\text{ Lagrange Mean Value Theorem }}{\Longrightarrow} \\ \dfrac{f(x_0+h)-f(x_0)}{h}=f'(\xi),\xi \in (x_0,x_0+h) \\ \\ f'_+(x_0)= \lim_{h \to 0^+} \dfrac{f(x_0+h)-f(x_0)}{h}=\lim_{\xi \to x_0^+} f'(\xi) =f'(x_0^+)\\ \end{gathered}

Class 2

T1

x[0,1],p2    (1+x2)p+(1x2)p12(1+xp)\begin{gathered} x\in [0,1],p\ge 2 \\ \implies (\dfrac{1+x}{2} )^p+(\dfrac{1-x}{2} )^p\le \dfrac{1}{2} (1+x^p) \end{gathered}
f(x)=12(1+xp)(1+x2)p(1x2)pf(x)=p2(xp1(1+x2)p1+(1x2)p1)p1>1    ap1+bp1<(a+b)p1(1x2)p1+xp1<(1+x2)p1    f(x)<0    f(x) is decreasingf(x)>f(1)=0Q.E.D\begin{gathered} f(x)=\dfrac{1}{2} (1+x^p)-(\dfrac{1+x}{2} )^p-(\dfrac{1-x}{2} )^p \\ f'(x)=\dfrac{p}{2}(x^{p-1} -(\dfrac{1+x}{2} )^{p-1}+ (\dfrac{1-x}{2} )^{p-1}) \\ p-1>1 \implies a^{p-1}+b^{p-1}<(a+b)^{p-1} \\ \therefore (\dfrac{1-x}{2})^{p-1}+x^{p-1}<(\dfrac{1+x}{2})^{p-1} \\ \implies f'(x)<0 \\ \implies f(x) \text{ is decreasing} \\ f(x)>f(1)=0 \\ \\ \text{Q.E.D} \end{gathered}

T2

x(0,π2)    2x<sinx+tanx\begin{gathered} x\in (0,\dfrac{\pi}{2} )\implies 2x<\sin x+\tan x \end{gathered}
f(x)=sinx+tanx2xf(x)=cosx+1cos2x2f(x)=sinx(2cos3x1)>0    f(x) is increasing    f(x)>f(0)=0    f(x) is increasingf(x)>f(0)=0Q.E.D\begin{gathered} f(x)=\sin x+\tan x-2x \\ f'(x)=\cos x+\dfrac{1}{\cos^2 x}-2 \\ f''(x)=\sin x(\dfrac{2}{\cos^3 x} -1)>0 \\ \implies f'(x) \text{ is increasing} \\ \implies f'(x)>f'(0)=0 \\ \implies f(x) \text{ is increasing} \\ f(x)>f(0)=0 \\ \\ \text{Q.E.D} \end{gathered}

T3

{x[0,+),f(x)f(0)=0f(x) is strictly increasing    f(x)x is strictly increasing\begin{gathered} \begin{cases} \forall x\in[0,+\infty),\exists f'(x) \\ f(0)=0 \\ f'(x) \text{ is strictly increasing} \end{cases} \\ \implies \dfrac{f(x)}{x} \text{ is strictly increasing} \end{gathered}
f(x)=f(x)f(0)=(x0)f(ξ)ξ(0,x)    f(ξ)<f(x)    f(x)<xf(x)    (f(x)x)=xf(x)f(x)x2>0Q.E.D\begin{gathered} f(x)=f(x)-f(0)=(x-0)f'(\xi) \\ \xi\in(0,x) \implies f'(\xi)<f'(x) \\ \implies f(x)<xf'(x) \\ \implies (\dfrac{f(x)}{x} )'=\dfrac{xf'(x)-f(x)}{x^2} >0 \\ \\ \text{Q.E.D} \end{gathered}

T4

calculate the extremum point for

f(x)=arcsin2x1+x2\begin{gathered} f(x)=\arcsin \dfrac{2x}{1+x^2} \end{gathered}
f(x)=11(2x1+x2)22(1+x2)4x2(1+x2)2=22x2x4+2x2+14x2(1+x2)=2(1x2)1x2(1+x2)x<1    f(x)<0,f(x) is decreasingx(1,1)    f(x)>0,f(x) is increasingx>1    f(x)<0,f(x) is decreasing    minimum:(1,π2),maximum:(1,π2)\begin{gathered} f'(x)=\dfrac{1}{\sqrt{1-(\dfrac{2x}{1+x^2} )^2}}\dfrac{2(1+x^2)-4x^2}{(1+x^2)^2} \\ =\dfrac{2-2x^2}{\sqrt{x^4+2x^2+1-4x^2}(1+x^2)} \\ =\dfrac{2(1-x^2)}{\vert 1-x^2 \vert (1+x^2)} \\ x<-1 \implies f'(x)<0,f(x) \text{ is decreasing} \\ x\in (-1,1) \implies f'(x)>0,f(x) \text{ is increasing} \\ x>1 \implies f'(x)<0,f(x) \text{ is decreasing} \\ \implies \text{minimum:} (-1,-\dfrac{\pi}{2} ),\text{maximum:} (1,\dfrac{\pi}{2} ) \end{gathered}

T5

calculate the extremum point for

f(x)=(i=0nxii!)ex,n1\begin{gathered} f(x)=(\sum _{i = 0} ^{n} \dfrac{x^i}{i!} )e^{-x},n\ge 1 \end{gathered}
f(x)=ex(i=0n1xii!i=1nxii!)=xnexn!nmod2=0:f(x)0(f(x)=0    x=0)    f(x) has no extremumnmod2=1:signf(x)=signx    f(x) has maximum (0,1)\begin{gathered} f'(x)=e^{-x}(\sum _{i = 0} ^{n-1} \dfrac{x^i}{i!} -\sum _{i = 1} ^{n} \dfrac{x^i}{i!} ) \\ =-\dfrac{x^ne^{-x}}{n!} \\ n \bmod 2=0:f'(x)\le 0(f'(x)=0 \iff x=0) \\ \implies f(x) \text{ has no extremum} \\ n \bmod 2=1:\operatorname{sign}f'(x)=-\operatorname{sign}x \\ \implies f(x) \text{ has maximum } (0,1) \end{gathered}

T6

xf(x)+3x(f(x))2=1ex    {x=c(c0) is an extremum     f(c) is a minimumx=c(c=0) is an extremum     f(c) is a minimum\begin{gathered} xf''(x)+3x(f'(x))^2=1-e^{-x} \\ \implies \begin{cases} x=c(c\ne 0) \text{ is an extremum } \implies f(c)\text{ is a minimum} \\ x=c(c=0) \text{ is an extremum } \implies f(c) \text{ is a minimum} \end{cases} \end{gathered}

(1)

x=c is an extremum    f(c)=0cf(c)+3c(f(c))2=1ec    signf(c)=sign1ecc=1    limxcf(x)f(c)xc=f(x)xc>0    signf(x)=sign(xc)    f(x) is a minimum\begin{gathered} x=c \text{ is an extremum} \\ \implies f'(c)=0 \\ cf''(c)+3c(f'(c))^2=1-e^{-c} \\ \implies \operatorname{sign} f''(c)=\operatorname{sign} \dfrac{1-e^{-c}}{c} =1 \\ \implies \lim_{x \to c} \dfrac{f'(x)-f'(c)}{x-c}=\dfrac{f'(x)}{x-c} >0 \\ \implies \operatorname{sign} f'(x)=\operatorname{sign} (x-c) \\ \implies f(x) \text{ is a minimum} \end{gathered}

(2)

f(0)=0limx0(f(x)+3f2(x))=limx01exx=1    f(0)=1 same as (1)’s proof f(x) is a minimum\begin{gathered} f'(0)=0 \\ \lim_{x \to 0} (f''(x)+3f'^2(x))=\lim_{x \to 0} \dfrac{1-e^{-x}}{x} =1 \\ \implies f''(0)=1 \\ \stackrel{\text{ same as (1)'s proof }}{\Longrightarrow} f(x) \text{ is a minimum} \end{gathered}

T7

p>1,x[0,1]    12p1xp+(1x)p1\begin{gathered} p>1,x\in [0,1] \implies \\ \dfrac{1}{2^{p-1}} \le x^p+(1-x)^p\le 1 \end{gathered}
x1    xpx    xp+(1x)px+1x=1f(x)=xp+(1x)pf(x)=pxp1p(1x)p1=p(xp1(1x)p1)x>12    x>1x    f(x)>0x<12    f(x)<0    (12,f(12)) is a minimum,f(x)f(12)=2(p1)\begin{gathered} x\le 1 \implies x^p\le x \implies x^p+(1-x)^p\le x+1-x=1 \\ f(x)=x^p+(1-x)^p \\ f'(x)=px^{p-1}-p(1-x)^{p-1}=p(x^{p-1}-(1-x)^{p-1}) \\ x>\dfrac{1}{2} \implies x>1-x \implies f'(x)>0 \\ x<\dfrac{1}{2} \implies f'(x)<0 \\ \implies (\dfrac{1}{2},f(\dfrac{1}{2})) \text{ is a minimum} ,f(x)\ge f(\dfrac{1}{2})=2^{-(p-1)} \end{gathered}

T8

{f,g:RRf(x)+f(x)g(x)f(x)=0f(a)=f(b)=0(a<b)    x[a,b],f(x)=0\begin{gathered} \begin{cases} f,g:R\to R \\ f''(x)+f'(x)g(x)-f(x)=0 \\ f(a)=f(b)=0(a<b) \end{cases} \\ \implies \forall x\in [a,b],f(x)=0 \end{gathered}

此证明已弃用.但应该是正确的.

f(x)+f(x)g(x)f(x)=0    x,f(x)0f(x)=f(x)x0(a,b),f(x0)=0Assume f(x0)0Without loss of generality,assume f(x0)>0    f(x0)=f(x0)>0    δ,x0(x0,δ),f(x0)>0ξ,f(ξ)=f(x0)f(b)x0b<0 Darbox Theorem x1(x0,ξ),f(x1)=0Repeat this you get {xn},xi(xi1,ξ),f(xi)=0limnxn=ξ,limnf(xn)=0f(ξ)Ridiculous!    f(x)=0    f(x)=f(x)=0Assume f(x0)0,a0=a,b0=bx1(ai,x0),x2(x0,bi),f(x1)=f(x0)x0ai0f(x2)=f(x0)x0bi0f(x1)f(x2)<0    x3,f(x3)=0    f(x3)=f(x3)=0f(x1)0    x1N(x1),f(x1)0same for x2N(x2),f(x2)0    f(ai)=f(x3)=0,x1(ai,x3),f(x1)0f(x3)=f(bi)=0,x2(x3,bi),f(x2)0let [ai+1,bi+1]=the shorter one in [ai,x3],[x3,bi]    {bi+1ai+112(biai)[ai,bi][ai+1,bi+1]ci[ai,bi],f(ci)0 Nested Intervals Principle ξ[ai,bi]limnan=ξlimncn=ξlimnf(an)=limnf(cn)Ridiculous!    x(a,b),f(x)=0Q.E.D\begin{gathered} f''(x)+f'(x)g(x)-f(x)=0 \\ \iff \forall x,f'(x)\ne 0 \lor f''(x)=f(x) \\ \forall x_0\in (a,b),f'(x_0)=0 \\ \text{Assume } f(x_0)\ne 0 \\ \text{Without loss of generality,assume } f(x_0)>0 \\ \implies f''(x_0)=f(x_0)>0 \\ \implies \exists \delta,\exists x_0'\in (x_0,\delta),f'(x_0')>0 \\ \exists \xi,f'(\xi)=\dfrac{f(x_0)-f(b)}{x_0-b} <0 \\ \stackrel{\text{ Darbox Theorem }}{\Longrightarrow}\exists x_1\in (x_0,\xi),f'(x_1)=0 \\ \text{Repeat this you get } \{ x_n \} ,x_i\in (x_{i-1},\xi),f'(x_i)=0 \\ \lim_{n \to \infty} x_n=\xi,\lim_{n \to \infty} f'(x_n)=0\ne f'(\xi) \\ \text{Ridiculous!} \\ \implies f'(x)=0 \implies f(x)=f''(x)=0 \\ \text{Assume } f(x_0)\ne 0,a_0=a,b_0=b \\ \exists x_1\in (a_i,x_0),x_2\in (x_0,b_i), \\ f'(x_1)=\dfrac{f(x_0)}{x_0-a_i} \ne 0 \\ f'(x_2)=\dfrac{f(x_0)}{x_0-b_i} \ne 0 \\ f'(x_1)f'(x_2)<0 \implies \exists x_3,f'(x_3)=0 \\ \implies f'(x_3)=f(x_3)=0 \\ f'(x_1)\ne 0 \implies \exists x_1'\in N(x_1),f(x_1')\ne 0 \\ \text{same for } \exists x_2'\in N(x_2),f(x_2')\ne 0 \\ \implies \exists f(a_i)=f(x_3)=0,x_1'\in(a_i,x_3),f(x_1')\ne 0 \\ \exists f(x_3)=f(b_i)=0,x_2'\in (x_3,b_i),f(x_2')\ne 0 \\ \text{let } [a_{i+1},b_{i+1}]=\text{the shorter one in } [a_i,x_3],[x_3,b_i] \\ \implies \begin{cases} b_{i+1}-a_{i+1}\le \dfrac{1}{2} (b_i-a_i) \\ [a_i,b_i]\supset [a_{i+1},b_{i+1}] \\ \exists c_i\in [a_i,b_i],f(c_i)\ne 0 \end{cases} \\ \stackrel{\text{ Nested Intervals Principle }}{\Longrightarrow} \\ \exists \xi \in [a_i,b_i] \\ \lim_{n \to \infty} a_n=\xi \\ \lim_{n \to \infty} c_n=\xi \\ \lim_{n \to \infty} f(a_n)=\lim_{n \to \infty} f(c_n) \\ \text{Ridiculous!} \\ \implies \forall x\in (a,b),f(x)=0 \\ \text{Q.E.D} \end{gathered}

上面那个太麻烦了

考虑区间中的最大值f(x0)f(x_0),注意到f(x0)=0,f(x0)0,f(x0)0f'(x_0)=0,f(x_0)\ge 0,f''(x_0)\le 0矛盾.于是f(x0)=0f(x_0)=0

最小值同理.