22 GG set GG 2 ( ) $N=\{12 \cdots\}$ ( ) ( ) Peano $1arrow^{o}Narrow^{s}N$ $1arrow Xarrow X$ $N$ $\mathrm{s}\mathrm{e}\mathrm{t}^{g}$ $N$ Dedekind $N$
|
|
- としなり つなかわ
- 5 years ago
- Views:
Transcription
1 $\mathrm{s}\mathrm{e}\mathrm{t}^{g}$ Polynomial Rings with coefficients in Tambara Functors ( ) Tomoyuki YOSHIDA (Hokkaido Univ) 1 G- $G$ G $X$ $G$ $\mathrm{m}\mathrm{a}\mathrm{p}_{g}(x Y)$ GY GY $\mathrm{m}\mathrm{a}\mathrm{p}_{g}(g/h X)\cong X^{H}$ ; $\lambda-\lambda(h)$ $X^{H}=\{x\in X hx=x(\forall h\in H)\}$ $H$ - GH $\mathrm{s}\mathrm{e}\mathrm{t}^{g}$ GG GG $\mathrm{s}\mathrm{e}\mathrm{t}^{g}$ $X+Y$ GG $X$ $Y$ $X$ $Y^{X}$ $g\lambda$ GG ( $g\lambda(x)=g\lambda( g^{-1}x)$ ) $X\mathrm{x}(-)$ $(-)^{X}$ set $-\mathrm{s}\mathrm{e}\mathrm{t}^{g}$ (-) $\mathrm{x}x\dashv(-)^{x}$ ie $\mathrm{m}\mathrm{a}\mathrm{p}_{g}$ (A ) $\mathrm{x}x$ $Y$ $\cong \mathrm{m}\mathrm{a}\mathrm{p}_{g}(a Y^{X})$ ( ) ( ) $(A+B)><X\cong A\cross X+B\mathrm{x}X$ $(A \mathrm{x}b)^{x}\cong A^{X}\mathrm{x}A^{Y}$ GG $f$ $Xarrow Z$ $gy-z$ ( pullback) GG $X\mathrm{x}_{Z}Y--\{(x y) f(x)=g(y)\}$
2 22 GG set GG 2 ( ) $N=\{12 \cdots\}$ ( ) ( ) Peano $1arrow^{o}Narrow^{s}N$ $1arrow Xarrow X$ $N$ $\mathrm{s}\mathrm{e}\mathrm{t}^{g}$ $N$ Dedekind $N$ $\mathrm{s}\mathrm{e}\mathrm{t}^{g}/\cong$ $\mathrm{s}\mathrm{e}\mathrm{t}/\cong$ $N$ Grothendieck $B(G)=\mathrm{G}\mathrm{r}\mathrm{o}(\mathrm{s}\mathrm{e}\mathrm{t}^{G}/\cong)$ Burnside Dedekind $X\mathrm{x}Y$ NY $(a_{xy})$ ( $Y$ $X$ ) $[XA-^{T}\underline{l}Y]$ $a_{xy}= l^{-1}(x)\cap r^{-1}(y) $ $A= \prod A_{xy}$ $ A_{xy} =a_{xy}$ $x\in X$ $y\in Y$ $xy$ $[X-Aarrow Y]\circ[Y-Barrow Z]=[X-A\mathrm{x}_{Y}B-Y]$ NN Sp(set) $[X\underline{l}$ $X\mathrm{x}Y$-=\pi f ij GG $A-^{r}Y]$ GG biproduct $(\mathrm{s}\mathrm{e}\mathrm{t}^{g})$ $(\mathrm{s}\mathrm{e}\mathrm{t}^{g})arrow$ Sp Sp Set
3 $\cdot$ 23 $Z$ - ( $X\cross Y$ $\mathrm{g}\mathrm{r}\mathrm{o}(\mathrm{s}\mathrm{e}\mathrm{t}^{g}/x\mathrm{x}y)$ $\mathrm{s}\mathrm{e}\mathrm{t}^{g}/x\mathrm{x}y$ ( GG ) Grothendieck ) $\mathrm{s}\mathrm{p}^{+}(\mathrm{s}\mathrm{e}\mathrm{t}^{g})$ 3 ffl Mackery $M$ $M$ $-M\mathrm{S}\mathrm{p}(\mathrm{s}\mathrm{e}\mathrm{t})^{\mathrm{o}\mathrm{p}}arrow \mathrm{s}\mathrm{e}\mathrm{t}$ $M$ $M(X)=M^{X}=\mathrm{M}\mathrm{a}\mathrm{p}(X M)$ $[XAarrow Y]r-\underline{l}(M^{X} arrow M^{Y})$ $(m_{x})$ $\mapsto$ $(n_{y})$ $n_{y}= \sum_{a\in r^{-1}(y)}m_{l(a)}$ $M=M(1)l\mathrm{h}$ $M$ 0 $M(\emptyset)=1arrow M(1)=M$ $M\mathrm{x}M=M(1)\mathrm{x}M(1)\cong M(2)arrow M(1)=M$ $\mathrm{s}\mathrm{p}^{+}(\mathrm{s}\mathrm{e}\mathrm{t}^{g})^{\mathrm{o}\mathrm{p}}arrow \mathrm{s}\mathrm{e}\mathrm{t}$ $\mathrm{s}\mathrm{p}(\mathrm{s}\mathrm{e}\mathrm{t}^{g})arrow \mathrm{a}\mathrm{b}$ Mackey $\emptyset$ $\mathcal{e}$ ( $X+Y$) pull-back $\mathrm{m}\mathrm{o}\mathrm{d}_{k}$ $k$ Mackey $\mathcal{e}-\mathrm{m}\mathrm{o}\mathrm{d}_{k}$ $(M^{*} M_{*})$ $M^{*}(X)=M_{*}(X)$ $M(X)$ $f$ $X-Y$ $f^{*}--m^{*}(f)$ $M^{*}(Y)-M^{*}(X)$ $f_{*}=^{l}m_{*}(f)$ $M(X)arrow M^{*}(Y)$ $\mathcal{e}arrow \mathrm{s}\mathrm{e}\mathrm{t}$ $M=(M^{*} M_{*})$ Mackey (M1) $M^{*}$ $M(\emptyset)=1$ $M(X+Y)\cong M(X)\mathrm{x}M(Y)$
4 REJECT} Y$ $\mathrm{r}\mathrm{e}\mathrm{s}$ $\mathrm{c}\mathrm{o}\mathrm{r}$ $\mathrm{p}\mathrm{b}g$ REJECT} f$ 24 $W$ 2 $X$ $M(W)arrow M(X)p_{*}$ (M2) $q\ovalbox{\tt\small $Z\ovalbox{\tt\small $\Rightarrow$ $M(Y)M(Z)q^{*\ovalbox{\tt\small REJECT} \mathrm{c};f^{*}}\underline{g_{*}}$ $\mathrm{c}$ $\mathrm{p}\mathrm{b}$ ( pullback ) ( ) Mackey $M(X)$ $+M(X)\mathrm{x}M(X)\cong M(X+X)M(X)\underline{\nabla_{*}}$ $1=M(\emptyset)-M(X)$ $f^{*}$ $f_{*}$ $XX\underline{}+YY\underline{j}$ $M(X)M(Xi_{*}\underline{\underline{i^{l}}}+Y)\overline{\overline{j_{*}}}j^{*}M(Y)$ ( $\mathrm{s}$ ) biproduct $S$ biporduct $\mathcal{e}=\mathrm{s}\mathrm{e}\mathrm{t}^{g}$ ( GG ) (M1) Mackey $M$ $H\leq G$ $M(G/H)$ $M(G/H)$ $M(H)$ $H\leq K\leq G$ $g\in G$ GK ( $H^{\mathit{9}}=g^{-1}Hg$) $xh-xk$ $xh-xgh^{\mathit{9}}$ $M(K)arrow M(H);\beta-\beta\downarrow H$ cor $M(H)arrow M(K);\alpha\mapsto\alpha\uparrow^{K}$ $M(H)arrow M$ (H $\mathrm{i}^{\alpha-\alpha^{g}}$ $\beta\downarrow_{h}\uparrow K=$ $(K H)\beta$ $(\forall H\leq K\leq G \beta\in M(K))$ $\mathrm{s}3\mathrm{a}]$ ) ([Yo ) (1) kgg $V$ $X-\mathrm{E}\mathrm{x}\mathrm{t}_{kG}^{n}(kX M)$ $H(\leq G)-H^{n}(G V)$ Hecke GG $X-Y$ ; $kx-ky$ $f$ $f $ $ky-$ $kx$ $f^{*}$ $H\leq K$ $f_{*}$ $f$
5 25 $H^{n}(H V)-H^{n}(K V)$ transfer $H^{n}(K V)-H^{n}(H V)$ Grothendieck (2) GG $X$ $X$ $CG$ $R(X)$ $X$ $CG$ $X$ ( $X$ $x-y$ $x=gy$ $G$ $g$ $G$ ) $X^{\mathrm{o}\mathrm{p}}-\mathrm{M}\mathrm{o}\mathrm{d}_{k}$ $M(G/H)$ $R(H)$ $X\mapsto R(X)$ Mackey $A-X$ ) $\mathrm{s}\mathrm{e}\mathrm{t}^{g}/x$ (3) $X$ GG ( GG $B$ $X\vdash-\Rightarrow \mathrm{g}\mathrm{r}\mathrm{o}(\mathrm{s}\mathrm{e}\mathrm{t}^{g}/x)$ (Cro Grothendieck ) Mackey Bumnside $B(G/H)$ Burnside $B(H)$ ( HH Grothendieck ) $M\cross$ $L$ $M$ $N$ set $arrow \mathrm{m}\mathrm{o}\mathrm{d}_{k}$ Mackey $\rho$ $Narrow L$ paring $\rho$ $\rho_{xy}$ $M(X)\mathrm{x}N(Y)arrow L(X\mathrm{x}Y)$ $(X Y\in \mathrm{s}\mathrm{e}\mathrm{t}^{g})$ $p_{x}$ $M(X)\mathrm{x}N(X)arrow L(X);(\alpha \beta)-\alpha\cdot\beta$ (P1) $f^{*}(\alpha \cdot\beta )=f^{*}(\alpha )\cdot f^{*}(\beta )$ ; (P2) $f_{*}(\alpha\cdot f^{*}(\beta ))=f_{*}(\alpha)\cdot\beta $ ; (P3) $f_{*}(f^{*}(\alpha )\cdot\beta)=\alpha \cdot f_{*}(\beta)$ (P2) (P3) Frobenius paring $A\mathrm{x}A-A$ ) $A$ $f^{*}$ ( $A(X)$ kk paring $A\mathrm{x}M-M$ $\mathcal{o}$ (1) $(K O F)$ r $K$ 0 $F$ $p>0$ $K$ $F$ $R_{K}$ $R_{F}$ Mackey $R_{F}$ $P_{F}$ $R$
6 $2\epsilon$ $f\ovalbox{\tt\small REJECT}$ $\mathrm{f}_{\overline{\mathrm{r}}}^{\mathrm{r}}$ Cartan $cr-r_{f}$ $dr-r_{f}$ R $\text{ }R-$ (2) kgg pairing $M\mathrm{x}Narrow L$ $\mathrm{e}\mathrm{x}\mathrm{t}_{kg}^{m}(kx M)\mathrm{x}\mathrm{E}\mathrm{x}\mathrm{t}_{kG}^{n}(kY N)-\mathrm{E}\mathrm{x}\mathrm{t}^{m+n}kG(x[X\mathrm{x}Y] L)$ $\mathrm{e}\mathrm{x}\mathrm{t}^{**}(kx k)$ Mackey pairing Mackey (3) Burnside $B$ Mackey paring $B(X)\rangle \mathrm{e}b(y)-arrow B(X\cross Y)$ $X\mathrm{x}Y)$ $((Aarrow X) (Barrow Y))\mapsto(A\cross Barrow$ $B(X)$ $[Aarrow X]\cdot[Barrow$ Mackey $M$ $X]=[A\mathrm{x}_{X}Barrow X]$ BB $B\mathrm{x}Marrow M$ $B(X)\mathrm{x}M(X)arrow M(X);[Aarrow^{\alpha}X]m=\alpha_{*}\circ\alpha^{*}(m)$ 4 $\mathrm{e}^{\backslash }$ GG exponential diagram $X$ $p$ $AX\mathrm{x}_{Y}\Pi_{f}(A)\underline{e}$ if $Y$ $\Pi_{\mathrm{f}}(A)$ $q$ $\Pi_{f}(A)$ $fa=\{(y \sigma) y\in Y \sigma q^{-1}(y)arrow Ap\sigma=\mathrm{i}\mathrm{d}\}$ $q(y \sigma)\}arrow y$ $f $ $(x y \sigma)\}-(y \sigma)$ $e(x y \sigma)\mapsto\sigma(x)$ $\mathrm{s}\mathrm{e}\mathrm{t}^{g}arrow \mathrm{s}\mathrm{e}\mathrm{t}$ $T=(T_{!} T^{*} T)$ (Set ) $\mathrm{m}\mathrm{o}\mathrm{d}_{k}$
7 27 (T1) $(T_{!} T^{*})$ $\mathrm{s}\mathrm{e}\mathrm{t}^{g}arrow \mathrm{s}\mathrm{e}\mathrm{t}$ (T ) set $T^{*}$ $arrow \mathrm{s}\mathrm{e}\mathrm{t}$ Mackery $T (X)=T^{*}(X)=T(X)$ $T(X)$ (T2) exponential diagram $\circ p_{!}=q_{!}\circ f \circ e^{*}$ $f$ $f_{!}$ $f$ transfer $f$ transfer (T1) $T(X)$ (T2) $T(X)$ $f_{!}$ $f^{*}$ $f$ $f$ $T(1)$ $f$ $Xarrow Y$ $K\otimes_{k}T$ ( boldt(x) $f^{*}(t(y))$ $K\supset k\supset T(1)$ (1) $R$ kk $X-E_{R}(X)=\mathrm{E}\mathrm{x}\mathrm{t}_{kG}^{**}(kX R)$ $E_{R}(XG/H)\cong H^{**}(H R)$ ( ) $f_{!}$ Eckman transger $f$ Evens transfer (2) kk $R$ $G$ $E_{R}^{0}$ $X\sim \mathrm{m}\mathrm{a}\mathrm{p}_{g}(x R)$ $f$ $Xarrow Y$ $f_{!}(\alpha)$ $yrightarrow$ $\sum$ $\alpha(x)$ $\alpha\in \mathrm{m}\mathrm{a}\mathrm{p}_{g}(x R)$ $x\in f^{-1}(y)$ $f^{*}(\beta)$ $x-\beta(f(x))$ $\alpha\in \mathrm{m}\mathrm{a}\mathrm{p}_{g}(x R)$ $f(\alpha)$ $y \mapsto\prod_{x\in f^{-1}(y)}\alpha(x)$ $\alpha\in \mathrm{m}\mathrm{a}\mathrm{p}_{g}(x R)$ (3) $R$ $X-R(X)=\mathrm{G}\mathrm{r}\mathrm{o}(\mathrm{M}\mathrm{o}\mathrm{d}_{CG}/X)(X$ CGG Grothendieck ) $R(X)=\{(\alpha_{x})_{x\in X} \alpha_{x}\in R(G_{x}) \alpha_{gx}=\alpha_{x}\}g$ $G$- $f$ $Xarrow Y$ $-\Sigma f\dashv f^{*}\dashv$ $f$ $\Sigma_{f}$ $\mathrm{s}\mathrm{e}\mathrm{t}^{g}/x-\mathrm{s}\mathrm{e}\mathrm{t}^{g}/y;(ax)\}-\underline{\alpha}(f\mathrm{o}\alphaa-y)$ $f^{*}$ $\mathrm{s}\mathrm{e}\mathrm{t}^{g}/y-\mathrm{s}\mathrm{e}\mathrm{t}^{g}/x;(barrow Y)\beta--arrow(X\mathrm{x}_{Y}BX)\underline{\mathrm{p}\mathrm{r}}$ $f$ $\bm{\mathrm{s}}\mathrm{e}\mathrm{t}^{g}/xarrow \mathrm{s}\mathrm{e}\mathrm{t}^{g}/y;(ax)\underline{\alpha}-\mathrm{h}(\pi f(a)\underline{q}y)$
8 28 Burnside $f_{!7}f^{*}$ $f$ $f $ $f^{*}$ 5 (KG ) * $G$ KG ( ) $f(t)= \sum_{x}a_{x}t^{x}$ $X$ G $t^{x}$ GX $X$ $t^{\emptyset}=1$ $t^{x+y}=t^{x}\cdot t^{y}$ $t^{g/h}$ ( ) ( $H$ $G$ ) ( ) G\beta set (t) $= \sum_{x}\frac{t^{x}}{ \mathrm{a}\mathrm{u}\mathrm{t}(x) }=\exp(\sum_{h\leq G}\frac{t^{G/H}}{(G\cdot H)})$ $t^{x}$ { $t^{ X }$ Wohlfahrt $\sum_{n=0}^{\infty}\frac{ \mathrm{h}\mathrm{o}\mathrm{m}(gs_{n}) }{n!}t^{n}=\exp(\sum_{h\leq G}\frac{t^{(GH)}}{(GH)}\cdot)$ $(1+t^{M})^{N}$ GG set Epi plethysm RForest set $[\delta Aarrow 2^{M}](2=\{01\})$ $A(t)$ $A(t)= \sum_{a\in A}t^{ \delta(a) }$
9 2\S $[\delta Aarrow 2^{M}]$ ( $R\subseteq A\mathrm{x}M$ ) GG $[\delta Aarrow 2^{M}]$ ( $M$ ) $M-M $ $[Aarrow 2^{M}]=[Aarrow 2^{M}arrow 2^{M }]$ $[Aarrow 2^{M}]$ $A$ $[Aarrow 2^{M}]+[Barrow 2^{N}]$ $=$ $[Aarrow 2^{M}arrow 2^{M+N}]+[Barrow 2^{N}arrow 2^{M+N}]$ $=$ $[A+Barrow 2^{M+N}]$ $[Aarrow 2^{M}]\cdot[Barrow 2^{N}]$ $=$ [A $\mathrm{x}b-2^{m}\mathrm{x}2^{n}=2^{m+n}$ ] $\partial A(t)=tdA(t)/dt$ $\partial[a2^{m}]\underline{\delta}=[\partial Aarrow 2^{M}]\delta$ $\partial A=$ { $(\mathrm{i}$ $a)\in N\mathrm{x}$ A } $ \mathrm{i}\in\delta(a)$ $\delta(\mathrm{i} a)=\delta(a)$ $[Barrow 2^{N}]\circ[Aarrow 2^{M}]=[B\circ Aarrow 2^{M\mathrm{x}N}]$ $B\circ A=\{(b \sigma) b\in B \sigma \delta_{b}(b)arrow A\}$ $\delta_{b\mathrm{o}a}(b \sigma)=\{(ij) j\in\delta_{b}(b) i\in\delta_{a}(\sigma(j))\}$ set $\partial(a\cdot B)=\partial(A)\cdot B+A\cdot\partial(B)$ $\partial(b\circ A)=\partial(A)\cdot(\partial B)\circ A$ $[A2^{M}]\underline{\delta}$ $X-2$ GG $X$ $A(X)$ $\delta$ $\eta^{n}$ $(1+X)^{M}arrow 2^{M}$ $1=\{0\}$ $2=\{01\}$ $\eta$ $0\mapsto 1$ $x(\in X)-1$ $1+$ $\lambda\vdash-arrow$ $\eta^{n}$ $\lambda^{-1}(1)$ MM Jim $B(2^{M})$ l $B(2^{M})$ $\mathrm{i}\mathrm{m}$ \leftarrow
10 $\chi_{\eta}$ $\mathrm{e}\mathrm{v}$ 30 6 \neq $arrow $T$ set $i2^{n}arrow 2^{N }$ ; $R(\subseteq N)\mapsto i(r)$ $T(2^{N })$ $\mathrm{i}^{*}$ $N-N $ $T(2^{N})arrow$ T- \mathrm{m}\mathrm{o}\mathrm{d}_{k}$ $T(2^{N })arrow T(2^{N})$ * $T[]$ $= \lim_{arrow}t(2^{n})$ $T[[ \cdot]]=\lim_{arrow}t(2^{n})$ $T[\cdot]\cross T[\cdot]-T[\cdot]$ $T[[\cdot]]\mathrm{x}T[[\cdot]]-T[[\cdot]]$ $T(2^{M})\mathrm{x}T(2^{N})-T(2^{M}\mathrm{x}2^{N})\cong T(2^{M+N})$ ($td/dt$ ) $\partial$ $T[\cdot]arrow T[\cdot]$ $T[[\cdot]]arrow T[[\cdot]]$ $\in_{m}=\{(\mathrm{i} R)\in M\mathrm{x}2^{M} \mathrm{i}\in R\}$ $p(\mathrm{i} R)-R$ $\partialt(2^{m})arrow T(p^{*}\in_{M})\underline{p!}\succ T(2^{M})$ Leibniz $\partial(a\cdot B)$ $=$ $\partial(a)\cdot B+A\cdot\partial(B)$ $\partial^{n}(a\cdot B)$ $=$ $\sum_{k=0}^{n}(\begin{array}{l}nk\end{array})\partial^{n-k}(a)\cdot\partial^{k}(b)$ (-) (X) $T[\cdot]arrow T(1)$ $T(2^{N})arrow T((1(\eta^{N})^{*}+X)^{N})\underline{\tau_{!}}T(1)$ $2^{N\underline{\eta^{N}}}(1+X)^{N}-^{\tau}1$ $T[\cdot]\mathrm{x}T[\cdot]arrow T[\cdot];(B A)-B\circ A$ GA $X$ $Y$ $XY=X\mathrm{x}Y$ $p$ $1+2^{M}arrow 2^{M};\mathrm{o}-\emptyset$ $R\mapsto R$ $\langle p \chi_{\eta}\rangle$ $1+2^{M}arrow 2;0\mapsto 0$ $R\mapsto 1$ $1+2^{M}arrow 2^{M}\mathrm{x}2(=Z)$ $Z^{N}Narrow Z;(\lambda b)-\lambda(b)$
11 $\mathrm{s}\mathrm{e}\mathrm{t}^{g}$ $\mathrm{o}$ 31 GG $2^{M}arrow 1\mathrm{i}\mathrm{n}\mathrm{c}+2^{M}\langle pa\chi\rangle 2^{M}\cross 2(=Z)\underline{\epsilon \mathrm{v}}z^{n}narrow^{\mathrm{p}\mathrm{r}}z^{n}=2^{mn}\mathrm{x}2^{n}$ $T$ $T(Z^{N})=T(2^{MN}2^{N})$ $T(2^{M})\underline{\mathrm{i}}\mathrm{n}\mathrm{c}4T(1+2^{M})-arrow T(Z)arrow T(Z^{N}N)\langle p\chi_{\eta})_{!}\mathrm{e}\mathrm{v}^{*}arrow^{\mathrm{p}\mathrm{r}}$ $2^{MN}2^{N}arrow^{\mathrm{P}^{\mathrm{I}}}$ $2^{N}$ $T(2^{N})arrow^{\mathrm{p}\mathrm{r}^{*}}T(2^{MN}2^{N})$ $T$ $T(2^{N})\mathrm{x}T(2^{M})$ $arrow T(2^{MN}2^{N})\mathrm{x}T(2^{MN}2^{N})$ $T(2^{MN}2^{N})arrow^{\mathrm{p}\mathrm{r}_{!}}T(2^{MN})$ $\partial(b\circ A)=\partial(A)\cdot(\partial(B)\circ A)$ 7 Hom-set GG Mackey $\mathcal{e}$ $\mathcal{e}$ (T1) 1 $X\mathrm{x}_{Z}Y$ $\emptyset$ $(\mathrm{t}1^{7})\mathcal{e}$ $\langle$ $X+Y$ $\mathrm{x}y\mathcal{e}-\mathcal{e};x\mapsto X\cross Y$ (T2) (-) $Z-Z^{Y}$ $X$ $Z$ $X\mathrm{x}Y$ $\mathrm{h}\mathrm{o}\mathrm{m}(x\mathrm{x}y Z)\cong \mathrm{h}\mathrm{o}\mathrm{m}(x Z^{Y})$
12 32 $t$ $1arrow\Omega$ (T3) $\mathrm{h}\mathrm{o}\mathrm{m}(x \Omega)\cong \mathrm{s}\mathrm{u}\mathrm{b}(x)$ ; $frightarrow(x\mathrm{x}_{\omega}1\llcorner\rightarrow X)$ Sub(X) $X$ Set $\Omega$ $Z^{Y}=\mathrm{M}\mathrm{a}\mathrm{p}(Y Z)$ 2 $2=\{01\}$ (T3) $A\subseteq X$ $\chi_{a}$ $X-2$ set ( (Tl ) ) $l$ $\mathcal{e}$ $S$ $\mathrm{s}\mathrm{e}\mathrm{t}^{s}$ SS RForest $\mathrm{c}^{\mathrm{o}\mathrm{p}}$ [ set] $\mathcal{e}$ set (T2) $X\mathrm{x}(Y+Y )\cong X\mathrm{x}Y+X^{\cdot}\cross Y $ $\mathcal{e}/$ $N$ Burnside Mackey Grothendieck $B(\mathcal{E})=\mathrm{G}\mathrm{r}\mathrm{o}(\mathcal{E}/\cong)$ $\mathcal{e}/x$ $Aarrow X$ $f$ $Xarrow Y$ $\Sigma_{f}$ $\mathcal{e}/x$ $-f^{*}-$ $\mathcal{e}/y$ $\Sigma_{f}\dashv f^{*}\dashv\pi_{f}*$ $\Pi_{f}$ $\mathrm{b}\mathrm{u}\mathrm{r}\mathrm{n}\mathrm{s}\mathrm{i}\mathrm{d}\mathrm{e}$ $X\mapsto(\mathcal{E}/X)/\cong$ ( ) Burnside $B(X)=$ Gro(E/X) $\Pi_{f}$ induction Grothendieck $B(X)$ Sub(X) $X$ $f$
13 $\exists_{f}$ $\forall_{f}$ $\mathrm{s}\mathrm{e}\mathrm{t}^{g}$ 33 $Xarrow Y$ Sub(X) $-f^{-1}$ Sub(Y) $X-\mathrm{S}\mathrm{u}\mathrm{b}(X)$ $\mathcal{e}$ $T$ $\mathrm{s}\mathrm{e}\mathrm{t}^{g}$ $N$ $T(\Omega^{N})$ $T(\Omega^{N}/ aut(n))$ * $T[ \cdot]=\lim_{arrow}t(\omega^{n})$ $T[[ \cdot]]=\lim_{arrow}t(\omega^{n})$ $N$ $X$ $\eta$ $1+X$ $X$ - ( $\tilde{x}$ $\overline{x}arrow Y$ $A(\subseteq X)arrow Y$ ) KY ( $K$ $\mathcal{e}$ ) 8 (A) GG Burnside P- (B) ( MacWilliams ) (Kumamoto JMath 1993) Burnside
14 34 (C) Plethysm Epi Burnside $k[x_{1} x_{2} \cdots]$ plethysm Epi 1 $h$ $X-\mathrm{S}\mathrm{u}\mathrm{b}(X)$ (D) Sub(X) 2- $X-\mathcal{E}/X$ (?) $\lim_{arrow}\mathcal{e}/\omega^{n}$ [1] DTambara On multiplicative transfer Comm Algebra 21 (1993) [2] PTJohnstone Toops Theory Academic Press [3] Yoshida Tomoyuki MacWilliams identities for linear codes with group action Kumamoto J Math 6 (1993) [4] Yoshida Tomoyuki Categorical aspects of generating functions I Exponential formulas and Krull-Schmidt categories J Algebra 240 (2001) no
6. Euler x
...............................................................................3......................................... 4.4................................... 5.5......................................
More information1: *2 W, L 2 1 (WWL) 4 5 (WWL) W (WWL) L W (WWL) L L 1 2, 1 4, , 1 4 (cf. [4]) 2: 2 3 * , , = , 1
I, A 25 8 24 1 1.1 ( 3 ) 3 9 10 3 9 : (1,2,6), (1,3,5), (1,4,4), (2,2,5), (2,3,4), (3,3,3) 10 : (1,3,6), (1,4,5), (2,2,6), (2,3,5), (2,4,4), (3,3,4) 6 3 9 10 3 9 : 6 3 + 3 2 + 1 = 25 25 10 : 6 3 + 3 3
More informationii-03.dvi
2005 II 3 I 18, 19 1. A, B AB BA 0 1 0 0 0 0 (1) A = 0 0 1,B= 1 0 0 0 0 0 0 1 0 (2) A = 3 1 1 2 6 4 1 2 5,B= 12 11 12 22 46 46 12 23 34 5 25 2. 3 A AB = BA 3 B 2 0 1 A = 0 3 0 1 0 2 3. 2 A (1) A 2 = O,
More informationx = a 1 f (a r, a + r) f(a) r a f f(a) 2 2. (a, b) 2 f (a, b) r f(a, b) r (a, b) f f(a, b)
2011 I 2 II III 17, 18, 19 7 7 1 2 2 2 1 2 1 1 1.1.............................. 2 1.2 : 1.................... 4 1.2.1 2............................... 5 1.3 : 2.................... 5 1.3.1 2.....................................
More information0 1-4. 1-5. (1) + b = b +, (2) b = b, (3) + 0 =, (4) 1 =, (5) ( + b) + c = + (b + c), (6) ( b) c = (b c), (7) (b + c) = b + c, (8) ( + b)c = c + bc (9
1-1. 1, 2, 3, 4, 5, 6, 7,, 100,, 1000, n, m m m n n 0 n, m m n 1-2. 0 m n m n 0 2 = 1.41421356 π = 3.141516 1-3. 1 0 1-4. 1-5. (1) + b = b +, (2) b = b, (3) + 0 =, (4) 1 =, (5) ( + b) + c = + (b + c),
More information,. Black-Scholes u t t, x c u 0 t, x x u t t, x c u t, x x u t t, x + σ x u t, x + rx ut, x rux, t 0 x x,,.,. Step 3, 7,,, Step 6., Step 4,. Step 5,,.
9 α ν β Ξ ξ Γ γ o δ Π π ε ρ ζ Σ σ η τ Θ θ Υ υ ι Φ φ κ χ Λ λ Ψ ψ µ Ω ω Def, Prop, Th, Lem, Note, Remark, Ex,, Proof, R, N, Q, C [a, b {x R : a x b} : a, b {x R : a < x < b} : [a, b {x R : a x < b} : a,
More information1. A0 A B A0 A : A1,...,A5 B : B1,...,B
1. A0 A B A0 A : A1,...,A5 B : B1,...,B12 2. 3. 4. 5. A0 A B f : A B 4 (i) f (ii) f (iii) C 2 g, h: C A f g = f h g = h (iv) C 2 g, h: B C g f = h f g = h 4 (1) (i) (iii) (2) (iii) (i) (3) (ii) (iv) (4)
More information5.. z = f(x, y) y y = b f x x g(x) f(x, b) g x ( ) A = lim h g(a + h) g(a) h g(x) a A = g (a) = f x (a, b)............................................
5 partial differentiation (total) differentiation 5. z = f(x, y) (a, b) A = lim h f(a + h, b) f(a, b) h........................................................... ( ) f(x, y) (a, b) x A (a, b) x (a, b)
More informationwebkaitou.dvi
( c Akir KANEKO) ).. m. l s = lθ m d s dt = mg sin θ d θ dt = g l sinθ θ l θ mg. d s dt xy t ( d x dt, d y dt ) t ( mg sin θ cos θ, sin θ sin θ). (.) m t ( d x dt, d y dt ) = t ( mg sin θ cos θ, mg sin
More information1 No.1 5 C 1 I III F 1 F 2 F 1 F 2 2 Φ 2 (t) = Φ 1 (t) Φ 1 (t t). = Φ 1(t) t = ( 1.5e 0.5t 2.4e 4t 2e 10t ) τ < 0 t > τ Φ 2 (t) < 0 lim t Φ 2 (t) = 0
1 No.1 5 C 1 I III F 1 F 2 F 1 F 2 2 Φ 2 (t) = Φ 1 (t) Φ 1 (t t). = Φ 1(t) t = ( 1.5e 0.5t 2.4e 4t 2e 10t ) τ < 0 t > τ Φ 2 (t) < 0 lim t Φ 2 (t) = 0 0 < t < τ I II 0 No.2 2 C x y x y > 0 x 0 x > b a dx
More informationn ( (
1 2 27 6 1 1 m-mat@mathscihiroshima-uacjp 2 http://wwwmathscihiroshima-uacjp/~m-mat/teach/teachhtml 2 1 3 11 3 111 3 112 4 113 n 4 114 5 115 5 12 7 121 7 122 9 123 11 124 11 125 12 126 2 2 13 127 15 128
More information24.15章.微分方程式
m d y dt = F m d y = mg dt V y = dy dt d y dt = d dy dt dt = dv y dt dv y dt = g dv y dt = g dt dt dv y = g dt V y ( t) = gt + C V y ( ) = V y ( ) = C = V y t ( ) = gt V y ( t) = dy dt = gt dy = g t dt
More informationGlobal phase portraits of planar autonomous half-linear systems (Masakazu Onitsuka) (Aya Yamaguchi) (Jitsuro Sugie) Department of M
1445 2005 88-98 88 Global phase portraits of planar autonomous half-linear systems (Masakazu Onitsuka) (Aya Yamaguchi) (Jitsuro Sugie) Department of Mathematics Shimane University 1 2 $(\mathit{4}_{p}(\dot{x}))^{\circ}+\alpha\phi_{p}(\dot{x})+\beta\phi_{p}(x)=0$
More information(3) (2),,. ( 20) ( s200103) 0.7 x C,, x 2 + y 2 + ax = 0 a.. D,. D, y C, C (x, y) (y 0) C m. (2) D y = y(x) (x ± y 0), (x, y) D, m, m = 1., D. (x 2 y
[ ] 7 0.1 2 2 + y = t sin t IC ( 9) ( s090101) 0.2 y = d2 y 2, y = x 3 y + y 2 = 0 (2) y + 2y 3y = e 2x 0.3 1 ( y ) = f x C u = y x ( 15) ( s150102) [ ] y/x du x = Cexp f(u) u (2) x y = xey/x ( 16) ( s160101)
More informationPart. 4. () 4.. () 4.. 3 5. 5 5.. 5 5.. 6 5.3. 7 Part 3. 8 6. 8 6.. 8 6.. 8 7. 8 7.. 8 7.. 3 8. 3 9., 34 9.. 34 9.. 37 9.3. 39. 4.. 4.. 43. 46.. 46..
Cotets 6 6 : 6 6 6 6 6 6 7 7 7 Part. 8. 8.. 8.. 9..... 3. 3 3.. 3 3.. 7 3.3. 8 Part. 4. () 4.. () 4.. 3 5. 5 5.. 5 5.. 6 5.3. 7 Part 3. 8 6. 8 6.. 8 6.. 8 7. 8 7.. 8 7.. 3 8. 3 9., 34 9.. 34 9.. 37 9.3.
More informationORIGINAL TEXT I II A B 1 4 13 21 27 44 54 64 84 98 113 126 138 146 165 175 181 188 198 213 225 234 244 261 268 273 2 281 I II A B 292 3 I II A B c 1 1 (1) x 2 + 4xy + 4y 2 x 2y 2 (2) 8x 2 + 16xy + 6y 2
More informationLDU (Tomoyuki YOSHIDA) 1. [5] ( ) Fisher $t=2$ ([71) $Q$ $t=4,6,8$ $\lambda_{i}^{j}\in Z$ $t=8$ REDUCE $\det[(v-vs--ki+j)]_{0\leq i,
Title 組合せ論に現れたある種の行列式と行列の記号的 LDU 分解 ( 数式処理における理論と応用の研究 ) Author(s) 吉田, 知行 Citation 数理解析研究所講究録 (1993), 848 27-37 Issue Date 1993-09 URL http//hdl.handle.net/2433/83664 Right Type Departmental Bulletin Paper
More informationX G P G (X) G BG [X, BG] S 2 2 2 S 2 2 S 2 = { (x 1, x 2, x 3 ) R 3 x 2 1 + x 2 2 + x 2 3 = 1 } R 3 S 2 S 2 v x S 2 x x v(x) T x S 2 T x S 2 S 2 x T x S 2 = { ξ R 3 x ξ } R 3 T x S 2 S 2 x x T x S 2
More informationII Time-stamp: <05/09/30 17:14:06 waki> ii
II waki@cc.hirosaki-u.ac.jp 18 1 30 II Time-stamp: ii 1 1 1.1.................................................. 1 1.2................................................... 3 1.3..................................................
More information15 mod 12 = 3, 3 mod 12 = 3, 9 mod 12 = N N 0 x, y x y N x y (mod N) x y N mod N mod N N, x, y N > 0 (1) x x (mod N) (2) x y (mod N) y x
A( ) 1 1.1 12 3 15 3 9 3 12 x (x ) x 12 0 12 1.1.1 x x = 12q + r, 0 r < 12 q r 1 N > 0 x = Nq + r, 0 r < N q r 1 q x/n r r x mod N 1 15 mod 12 = 3, 3 mod 12 = 3, 9 mod 12 = 3 1.1.2 N N 0 x, y x y N x y
More information$\hat{\grave{\grave{\lambda}}}$ $\grave{\neg}\backslash \backslash ^{}4$ $\approx \mathrm{t}\triangleleft\wedge$ $10^{4}$ $10^{\backslash }$ $4^{\math
$\mathrm{r}\mathrm{m}\mathrm{s}$ 1226 2001 76-85 76 1 (Mamoru Tanahashi) (Shiki Iwase) (Toru Ymagawa) (Toshio Miyauchi) Department of Mechanical and Aerospaoe Engineering Tokyo Institute of Technology
More informationa q q y y a xp p q y a xp y a xp y a x p p y a xp q y x yaxp x y a xp q x p y q p x y a x p p p p x p
a a a a y y ax q y ax q q y ax y ax a a a q q y y a xp p q y a xp y a xp y a x p p y a xp q y x yaxp x y a xp q x p y q p x y a x p p p p x p y a xp q y a x p q p p x p p q p q y a x xy xy a a a y a x
More informationi I II I II II IC IIC I II ii 5 8 5 3 7 8 iii I 3........................... 5......................... 7........................... 4........................ 8.3......................... 33.4...................
More information42 1 ( ) 7 ( ) $\mathrm{s}17$ $-\supset$ 2 $(1610?\sim 1624)$ 8 (1622) (3 ), 4 (1627?) 5 (1628) ( ) 6 (1629) ( ) 8 (1631) (2 ) $\text{ }$ ( ) $\text{
26 [\copyright 0 $\perp$ $\perp$ 1064 1998 41-62 41 REJECT}$ $=\underline{\not\equiv!}\xi*$ $\iota_{arrow}^{-}\approx 1,$ $\ovalbox{\tt\small ffl $\mathrm{y}
More information330
330 331 332 333 334 t t P 335 t R t t i R +(P P ) P =i t P = R + P 1+i t 336 uc R=uc P 337 338 339 340 341 342 343 π π β τ τ (1+π ) (1 βτ )(1 τ ) (1+π ) (1 βτ ) (1 τ ) (1+π ) (1 τ ) (1 τ ) 344 (1 βτ )(1
More informationA11 (1993,1994) 29 A12 (1994) 29 A13 Trefethen and Bau Numerical Linear Algebra (1997) 29 A14 (1999) 30 A15 (2003) 30 A16 (2004) 30 A17 (2007) 30 A18
2013 8 29y, 2016 10 29 1 2 2 Jordan 3 21 3 3 Jordan (1) 3 31 Jordan 4 32 Jordan 4 33 Jordan 6 34 Jordan 8 35 9 4 Jordan (2) 10 41 x 11 42 x 12 43 16 44 19 441 19 442 20 443 25 45 25 5 Jordan 26 A 26 A1
More informationf : R R f(x, y) = x + y axy f = 0, x + y axy = 0 y 直線 x+y+a=0 に漸近し 原点で交叉する美しい形をしている x +y axy=0 X+Y+a=0 o x t x = at 1 + t, y = at (a > 0) 1 + t f(x, y
017 8 10 f : R R f(x) = x n + x n 1 + 1, f(x) = sin 1, log x x n m :f : R n R m z = f(x, y) R R R R, R R R n R m R n R m R n R m f : R R f (x) = lim h 0 f(x + h) f(x) h f : R n R m m n M Jacobi( ) m n
More information40 6 y mx x, y 0, 0 x 0. x,y 0,0 y x + y x 0 mx x + mx m + m m 7 sin y x, x x sin y x x. x sin y x,y 0,0 x 0. 8 x r cos θ y r sin θ x, y 0, 0, r 0. x,
9.. x + y + 0. x,y, x,y, x r cos θ y r sin θ xy x y x,y 0,0 4. x, y 0, 0, r 0. xy x + y r 0 r cos θ sin θ r cos θ sin θ θ 4 y mx x, y 0, 0 x 0. x,y 0,0 x x + y x 0 x x + mx + m m x r cos θ 5 x, y 0, 0,
More informationArmstrong culture Web
2004 5 10 M.A. Armstrong, Groups and Symmetry, Springer-Verlag, NewYork, 1988 (2000) (1989) (2001) (2002) 1 Armstrong culture Web 1 3 1.1................................. 3 1.2.................................
More informationA 2008 10 (2010 4 ) 1 1 1.1................................. 1 1.2..................................... 1 1.3............................ 3 1.3.1............................. 3 1.3.2..................................
More information04.dvi
22 I 4-4 ( ) 4, [,b] 4 [,b] R, x =, x n = b, x i < x i+ n + = {x,,x n } [,b], = mx{ x i+ x i } 2 [,b] = {x,,x n }, ξ = {ξ,,ξ n }, x i ξ i x i, [,b] f: S,ξ (f) S,ξ (f) = n i= f(ξ i )(x i x i ) 3 [,b] f:,
More informationPart y mx + n mt + n m 1 mt n + n t m 2 t + mn 0 t m 0 n 18 y n n a 7 3 ; x α α 1 7α +t t 3 4α + 3t t x α x α y mx + n
Part2 47 Example 161 93 1 T a a 2 M 1 a 1 T a 2 a Point 1 T L L L T T L L T L L L T T L L T detm a 1 aa 2 a 1 2 + 1 > 0 11 T T x x M λ 12 y y x y λ 2 a + 1λ + a 2 2a + 2 0 13 D D a + 1 2 4a 2 2a + 2 a
More information…K…E…X„^…x…C…W…A…fi…l…b…g…‘†[…N‡Ì“‚¢−w‘K‡Ì‹ê™v’«‡É‡Â‡¢‡Ä
2009 8 26 1 2 3 ARMA 4 BN 5 BN 6 (Ω, F, µ) Ω: F Ω σ 1 Ω, ϕ F 2 A, B F = A B, A B, A\B F F µ F 1 µ(ϕ) = 0 2 A F = µ(a) 0 3 A, B F, A B = ϕ = µ(a B) = µ(a) + µ(b) µ(ω) = 1 X : µ X : X x 1,, x n X (Ω) x 1,,
More informationDVIOUT
A. A. A-- [ ] f(x) x = f 00 (x) f 0 () =0 f 00 () > 0= f(x) x = f 00 () < 0= f(x) x = A--2 [ ] f(x) D f 00 (x) > 0= y = f(x) f 00 (x) < 0= y = f(x) P (, f()) f 00 () =0 A--3 [ ] y = f(x) [, b] x = f (y)
More informationf(x) = x (1) f (1) (2) f (2) f(x) x = a y y = f(x) f (a) y = f(x) A(a, f(a)) f(a + h) f(x) = A f(a) A x (3, 3) O a a + h x 1 f(x) x = a
3 3.1 3.1.1 A f(a + h) f(a) f(x) lim f(x) x = a h 0 h f(x) x = a f 0 (a) f 0 (a) = lim h!0 f(a + h) f(a) h = lim x!a f(x) f(a) x a a + h = x h = x a h 0 x a 3.1 f(x) = x x = 3 f 0 (3) f (3) = lim h 0 (
More informationII 2014 2 (1) log(1 + r/100) n = log 2 n log(1 + r/100) = log 2 n = log 2 log(1 + r/100) (2) y = f(x) = log(1 + x) x = 0 1 f (x) = 1/(1 + x) f (0) = 1
II 2014 1 1 I 1.1 72 r 2 72 8 72/8 = 9 9 2 a 0 1 a 1 a 1 = a 0 (1+r/100) 2 a 2 a 2 = a 1 (1 + r/100) = a 0 (1 + r/100) 2 n a n = a 0 (1 + r/100) n a n a 0 2 n a 0 (1 + r/100) n = 2a 0 (1 + r/100) n = 2
More information1.1 ft t 2 ft = t 2 ft+ t = t+ t 2 1.1 d t 2 t + t 2 t 2 = lim t 0 t = lim t 0 = lim t 0 t 2 + 2t t + t 2 t 2 t + t 2 t 2t t + t 2 t 2t + t = lim t 0
A c 2008 by Kuniaki Nakamitsu 1 1.1 t 2 sin t, cos t t ft t t vt t xt t + t xt + t xt + t xt t vt = xt + t xt t t t vt xt + t xt vt = lim t 0 t lim t 0 t 0 vt = dxt ft dft dft ft + t ft = lim t 0 t 1.1
More informationMazur [Ma1] Schlessinger [Sch] [SL] [Ma1] [Ma1] [Ma2] Galois [] 17 R m R R R M End R M) M R ut R M) M R R G R[G] R G Sets 1 Λ Noether Λ k Λ m Λ k C Λ
Galois ) 0 1 1 2 2 4 3 10 4 12 5 14 16 0 Galois Galois Galois TaylorWiles Fermat [W][TW] Galois Galois Galois 1 Noether 2 1 Mazur [Ma1] Schlessinger [Sch] [SL] [Ma1] [Ma1] [Ma2] Galois [] 17 R m R R R
More information(Team 2 ) (Yoichi Aoyama) Faculty of Education Shimane University (Goro Chuman) Professor Emeritus Gifu University (Naondo Jin)
教科専門科目の内容を活用する教材研究の指導方法 : TitleTeam2プロジェクト ( 数学教師に必要な数学能力形成に関する研究 ) Author(s) 青山 陽一 ; 中馬 悟朗 ; 神 直人 Citation 数理解析研究所講究録 (2009) 1657: 105-127 Issue Date 2009-07 URL http://hdlhandlenet/2433/140885 Right
More information確率論と統計学の資料
5 June 015 ii........................ 1 1 1.1...................... 1 1........................... 3 1.3... 4 6.1........................... 6................... 7 ii ii.3.................. 8.4..........................
More informationx, y x 3 y xy 3 x 2 y + xy 2 x 3 + y 3 = x 3 y xy 3 x 2 y + xy 2 x 3 + y 3 = 15 xy (x y) (x + y) xy (x y) (x y) ( x 2 + xy + y 2) = 15 (x y)
x, y x 3 y xy 3 x 2 y + xy 2 x 3 + y 3 = 15 1 1977 x 3 y xy 3 x 2 y + xy 2 x 3 + y 3 = 15 xy (x y) (x + y) xy (x y) (x y) ( x 2 + xy + y 2) = 15 (x y) ( x 2 y + xy 2 x 2 2xy y 2) = 15 (x y) (x + y) (xy
More information(Masatake MORI) 1., $I= \int_{-1}^{1}\frac{dx}{\mathrm{r}_{2-x})(1-\mathcal{i}1}.$ (1.1) $\overline{(2-x)(1-\mathcal{i})^{1}/4(1
1040 1998 143-153 143 (Masatake MORI) 1 $I= \int_{-1}^{1}\frac{dx}{\mathrm{r}_{2-x})(1-\mathcal{i}1}$ (11) $\overline{(2-x)(1-\mathcal{i})^{1}/4(1+x)3/4}$ 1974 [31 8 10 11] $I= \int_{a}^{b}f(\mathcal{i})d_{x}$
More informationArchimedean Spiral 1, ( ) Archimedean Spiral Archimedean Spiral ( $\mathrm{b}.\mathrm{c}$ ) 1 P $P$ 1) Spiral S
Title 初期和算にみる Archimedean Spiral について ( 数学究 ) Author(s) 小林, 龍彦 Citation 数理解析研究所講究録 (2000), 1130: 220-228 Issue Date 2000-02 URL http://hdl.handle.net/2433/63667 Right Type Departmental Bulletin Paper Textversion
More information( ),.,,., C A (2008, ). 1,, (M, g) (Riemannian symmetric space), : p M, s p : M M :.,.,.,, (, ).,, (M, g) p M, s p : M M p, : (1) p s p, (
( ),.,,., C A (2008, ). 1,,. 1.1. (M, g) (Riemannian symmetric space), : p M, s p : M M :.,.,.,, (, ).,,. 1.2. (M, g) p M, s p : M M p, : (1) p s p, (2) s 2 p = id ( id ), (3) s p ( )., p ( s p (p) = p),,
More informationTitle 非線形シュレディンガー方程式に対する3 次分散項の効果 ( 流体における波動現象の数理とその応用 ) Author(s) 及川, 正行 Citation 数理解析研究所講究録 (1993), 830: Issue Date URL
Title 非線形シュレディンガー方程式に対する3 次分散項の効果 ( 流体における波動現象の数理とその応用 ) Author(s) 及川 正行 Citation 数理解析研究所講究録 (1993) 830: 244-253 Issue Date 1993-04 URL http://hdlhandlenet/2433/83338 Right Type Departmental Bulletin Paper
More information超幾何的黒写像
1880 2014 117-132 117 * 9 : 1 2 1.1 2 1.2 2 1.3 2 2 3 5 $-\cdot$ 3 5 3.1 3.2 $F_{1}$ Appell, Lauricella $F_{D}$ 5 3.3 6 3.4 6 3.5 $(3, 6)$- 8 3.6 $E(3,6;1/2)$ 9 4 10 5 10 6 11 6.1 11 6.2 12 6.3 13 6.4
More information数学Ⅱ演習(足助・09夏)
II I 9/4/4 9/4/2 z C z z z z, z 2 z, w C zw z w 3 z, w C z + w z + w 4 t R t C t t t t t z z z 2 z C re z z + z z z, im z 2 2 3 z C e z + z + 2 z2 + 3! z3 + z!, I 4 x R e x cos x + sin x 2 z, w C e z+w
More information時間遅れをもつ常微分方程式の基礎理論入門 (マクロ経済動学の非線形数理)
1713 2010 72-87 72 Introduction to the theory of delay differential equations (Rinko Miyazaki) Shizuoka University 1 $\frac{dx(t)}{dt}=ax(t)$ (11), $(a$ : $a\neq 0)$ 11 ( ) $t$ (11) $x$ 12 $t$ $x$ $x$
More information2012 A, N, Z, Q, R, C
2012 A, N, Z, Q, R, C 1 2009 9 2 2011 2 3 2012 9 1 2 2 5 3 11 4 16 5 22 6 25 7 29 8 32 1 1 1.1 3 1 1 1 1 1 1? 3 3 3 3 3 3 3 1 1, 1 1 + 1 1 1+1 2 2 1 2+1 3 2 N 1.2 N (i) 2 a b a 1 b a < b a b b a a b (ii)
More information2012 IA 8 I p.3, 2 p.19, 3 p.19, 4 p.22, 5 p.27, 6 p.27, 7 p
2012 IA 8 I 1 10 10 29 1. [0, 1] n x = 1 (n = 1, 2, 3,...) 2 f(x) = n 0 [0, 1] 2. 1 x = 1 (n = 1, 2, 3,...) 2 f(x) = n 0 [0, 1] 1 0 f(x)dx 3. < b < c [, c] b [, c] 4. [, b] f(x) 1 f(x) 1 f(x) [, b] 5.
More informationMarch 4, R R R- R R
March 4, 2016 1. R- 2 1.1. R- 2 1.2. R- R- 4 1.3. R- 5 2. 6 2.1. 6 2.2. 6 2.3. 6 2.4. 7 3. 8 3.1. 8 3.2. 8 4. 10 4.1. 10 4.2. 10 4.3. 10 5. 12 5.1. 12 5.2. 14 6. Hom 14 6.1. Hom 14 6.2. Hom 15 6.3. Hom
More information入試の軌跡
4 y O x 4 Typed by L A TEX ε ) ) ) 6 4 ) 4 75 ) http://kumamoto.s.xrea.com/plan/.. PDF) Ctrl +L) Ctrl +) Ctrl + Ctrl + ) ) Alt + ) Alt + ) ESC. http://kumamoto.s.xrea.com/nyusi/kumadai kiseki ri i.pdf
More informationII R n k +1 v 0,, v k k v 1 v 0,, v k v v 0,, v k R n 1 a 0,, a k a 0 v 0 + a k v k v 0 v k k k v 0,, v k σ k σ dimσ = k 1.3. k
II 231017 1 1.1. R n k +1 v 0,, v k k v 1 v 0,, v k v 0 1.2. v 0,, v k R n 1 a 0,, a k a 0 v 0 + a k v k v 0 v k k k v 0,, v k σ kσ dimσ = k 1.3. k σ {v 0,...,v k } {v i0,...,v il } l σ τ < τ τ σ 1.4.
More informationS I. dy fx x fx y fx + C 3 C vt dy fx 4 x, y dy yt gt + Ct + C dt v e kt xt v e kt + C k x v k + C C xt v k 3 r r + dr e kt S Sr πr dt d v } dt k e kt
S I. x yx y y, y,. F x, y, y, y,, y n http://ayapin.film.s.dendai.ac.jp/~matuda n /TeX/lecture.html PDF PS yx.................................... 3.3.................... 9.4................5..............
More informationi
009 I 1 8 5 i 0 1 0.1..................................... 1 0.................................................. 1 0.3................................. 0.4........................................... 3
More informationii
ii iii 1 1 1.1..................................... 1 1.2................................... 3 1.3........................... 4 2 9 2.1.................................. 9 2.2...............................
More information211 kotaro@math.titech.ac.jp 1 R *1 n n R n *2 R n = {(x 1,..., x n ) x 1,..., x n R}. R R 2 R 3 R n R n R n D D R n *3 ) (x 1,..., x n ) f(x 1,..., x n ) f D *4 n 2 n = 1 ( ) 1 f D R n f : D R 1.1. (x,
More information基礎数学I
I & II ii ii........... 22................. 25 12............... 28.................. 28.................... 31............. 32.................. 34 3 1 9.................... 1....................... 1............
More informationx x x 2, A 4 2 Ax.4 A A A A λ λ 4 λ 2 A λe λ λ2 5λ + 6 0,...λ 2, λ 2 3 E 0 E 0 p p Ap λp λ 2 p 4 2 p p 2 p { 4p 2 2p p + 2 p, p 2 λ {
K E N Z OU 2008 8. 4x 2x 2 2 2 x + x 2. x 2 2x 2, 2 2 d 2 x 2 2.2 2 3x 2... d 2 x 2 5 + 6x 0 2 2 d 2 x 2 + P t + P 2tx Qx x x, x 2 2 2 x 2 P 2 tx P tx 2 + Qx x, x 2. d x 4 2 x 2 x x 2.3 x x x 2, A 4 2
More informationTitle 疑似乱数生成器の安全性とモンテカルロ法 ( 確率数値解析に於ける諸問題,VI) Author(s) 杉田, 洋 Citation 数理解析研究所講究録 (2004), 1351: Issue Date URL
Title 疑似乱数生成器の安全性とモンテカルロ法 ( 確率数値解析に於ける諸問題,VI) Author(s) 杉田, 洋 Citation 数理解析研究所講究録 (2004), 1351: 33-40 Issue Date 2004-01 URL http://hdlhandlenet/2433/64973 Right Type Departmental Bulletin Paper Textversion
More information1.2 y + P (x)y + Q(x)y = 0 (1) y 1 (x), y 2 (x) y 1 (x), y 2 (x) (1) y(x) c 1, c 2 y(x) = c 1 y 1 (x) + c 2 y 2 (x) 3 y 1 (x) y 1 (x) e R P (x)dx y 2
1 1.1 R(x) = 0 y + P (x)y + Q(x)y = R(x)...(1) y + P (x)y + Q(x)y = 0...(2) 1 2 u(x) v(x) c 1 u(x)+ c 2 v(x) = 0 c 1 = c 2 = 0 c 1 = c 2 = 0 2 0 2 u(x) v(x) u(x) u (x) W (u, v)(x) = v(x) v (x) 0 1 1.2
More information$\mathfrak{m}$ $K/F$ the 70 4(Brinkhuis) ([1 Corollary 210] [2 Corollary 21]) $F$ $K/F$ $F$ Abel $Gal(Ic/F)$ $(2 \cdot\cdot \tau 2)$ $K/F$ NIB ( 13) N
$\mathbb{q}$ 1097 1999 69-81 69 $\mathrm{m}$ 2 $\mathrm{o}\mathrm{d}\mathfrak{p}$ ray class field 2 (Fuminori Kawamoto) 1 INTRODUCTION $F$ $F$ $K/F$ Galois $G:=Ga\iota(K/F)$ Galois $\alpha\in \mathit{0}_{k}$
More information31 33
17 3 31 33 36 38 42 45 47 50 52 54 57 60 74 80 82 88 89 92 98 101 104 106 94 1 252 37 1 2 2 1 252 38 1 15 3 16 6 24 17 2 10 252 29 15 21 20 15 4 15 467,555 14 11 25 15 1 6 15 5 ( ) 41 2 634 640 1 5 252
More information1 θ i (1) A B θ ( ) A = B = sin 3θ = sin θ (A B sin 2 θ) ( ) 1 2 π 3 < = θ < = 2 π 3 Ax Bx3 = 1 2 θ = π sin θ (2) a b c θ sin 5θ = sin θ f(sin 2 θ) 2
θ i ) AB θ ) A = B = sin θ = sin θ A B sin θ) ) < = θ < = Ax Bx = θ = sin θ ) abc θ sin 5θ = sin θ fsin θ) fx) = ax bx c ) cos 5 i sin 5 ) 5 ) αβ α iβ) 5 α 4 β α β β 5 ) a = b = c = ) fx) = 0 x x = x =
More informationuntitled
1 ( 12 11 44 7 20 10 10 1 1 ( ( 2 10 46 11 10 10 5 8 3 2 6 9 47 2 3 48 4 2 2 ( 97 12 ) 97 12 -Spencer modulus moduli (modulus of elasticity) modulus (le) module modulus module 4 b θ a q φ p 1: 3 (le) module
More informationα = 2 2 α 2 = ( 2) 2 = 2 x = α, y = 2 x, y X 0, X 1.X 2,... x 0 X 0, x 1 X 1, x 2 X 2.. Zorn A, B A B A B A B A B B A A B N 2
1. 2. 3. 4. 5. 6. 7. 8. N Z 9. Z Q 10. Q R 2 1. 2. 3. 4. Zorn 5. 6. 7. 8. 9. x x x y x, y α = 2 2 α x = y = 2 1 α = 2 2 α 2 = ( 2) 2 = 2 x = α, y = 2 x, y X 0, X 1.X 2,... x 0 X 0, x 1 X 1, x 2 X 2.. Zorn
More informationD 24 D D D
5 Paper I.R. 2001 5 Paper HP Paper 5 3 5.1................................................... 3 5.2.................................................... 4 5.3.......................................... 6
More information20 9 19 1 3 11 1 3 111 3 112 1 4 12 6 121 6 122 7 13 7 131 8 132 10 133 10 134 12 14 13 141 13 142 13 143 15 144 16 145 17 15 19 151 1 19 152 20 2 21 21 21 211 21 212 1 23 213 1 23 214 25 215 31 22 33
More informationII (10 4 ) 1. p (x, y) (a, b) ε(x, y; a, b) 0 f (x, y) f (a, b) A, B (6.5) y = b f (x, b) f (a, b) x a = A + ε(x, b; a, b) x a 2 x a 0 A = f x (
II (1 4 ) 1. p.13 1 (x, y) (a, b) ε(x, y; a, b) f (x, y) f (a, b) A, B (6.5) y = b f (x, b) f (a, b) x a = A + ε(x, b; a, b) x a x a A = f x (a, b) y x 3 3y 3 (x, y) (, ) f (x, y) = x + y (x, y) = (, )
More informationS I. dy fx x fx y fx + C 3 C dy fx 4 x, y dy v C xt y C v e kt k > xt yt gt [ v dt dt v e kt xt v e kt + C k x v + C C k xt v k 3 r r + dr e kt S dt d
S I.. http://ayapin.film.s.dendai.ac.jp/~matuda /TeX/lecture.html PDF PS.................................... 3.3.................... 9.4................5.............. 3 5. Laplace................. 5....
More information(Nobumasa SUGIMOTO) (Masatomi YOSHIDA) Graduate School of Engineering Science, Osaka University 1., [1].,., 30 (Rott),.,,,. [2].
1483 2006 112-121 112 (Nobumasa SUGIMOTO) (Masatomi YOSHIDA) Graduate School of Engineering Science Osaka University 1 [1] 30 (Rott) [2] $-1/2$ [3] [4] -\mbox{\boldmath $\pi$}/4 - \mbox{\boldmath $\pi$}/2
More information2 2 MATHEMATICS.PDF 200-2-0 3 2 (p n ), ( ) 7 3 4 6 5 20 6 GL 2 (Z) SL 2 (Z) 27 7 29 8 SL 2 (Z) 35 9 2 40 0 2 46 48 2 2 5 3 2 2 58 4 2 6 5 2 65 6 2 67 7 2 69 2 , a 0 + a + a 2 +... b b 2 b 3 () + b n a
More informationNo2 4 y =sinx (5) y = p sin(2x +3) (6) y = 1 tan(3x 2) (7) y =cos 2 (4x +5) (8) y = cos x 1+sinx 5 (1) y =sinx cos x 6 f(x) = sin(sin x) f 0 (π) (2) y
No1 1 (1) 2 f(x) =1+x + x 2 + + x n, g(x) = 1 (n +1)xn + nx n+1 (1 x) 2 x 6= 1 f 0 (x) =g(x) y = f(x)g(x) y 0 = f 0 (x)g(x)+f(x)g 0 (x) 3 (1) y = x2 x +1 x (2) y = 1 g(x) y0 = g0 (x) {g(x)} 2 (2) y = µ
More information2016 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 1 16 2 1 () X O 3 (O1) X O, O (O2) O O (O3) O O O X (X, O) O X X (O1), (O2), (O3) (O2) (O3) n (O2) U 1,..., U n O U k O k=1 (O3) U λ O( λ Λ) λ Λ U λ O 0 X 0 (O2) n =
More information1 1.1 R (ring) R1 R4 R1 R (commutative [abelian] group) R2 a, b, c R (ab)c = a(bc) (associative law) R3 a, b, c R a(b + c) = ab + ac, (a + b)c = ac +
ALGEBRA II Hiroshi SUZUKI Department of Mathematics International Christian University 2004 1 1 1 2 2 1 3 3 1 4 4 1 5 5 1 6 6 1 7 7 1 7.1....................... 7 1 7.2........................... 7 4 8
More information44 $d^{k}$ $\alpha^{k}$ $k,$ $k+1$ k $k+1$ dk $d^{k}=- \frac{1}{h^{k}}\nabla f(x)k$ (2) $H^{k}$ Hesse k $\nabla^{2}f(x^{k})$ $ff^{k+1}=h^{k}+\triangle
Method) 974 1996 43-54 43 Optimization Algorithm by Use of Fuzzy Average and its Application to Flow Control Hiroshi Suito and Hideo Kawarada 1 (Steepest Descent Method) ( $\text{ }$ $\mathrm{m}\mathrm{e}\mathrm{t}\mathrm{h}_{0}\mathrm{d}$
More informationmain.dvi
9 5.4.3 9 49 5 9 9. 9.. z (z) = e t t z dt (9.) z z = x> (x +)= e t t x dt = e t t x e t t x dt = x(x) (9.) t= +x x n () = (n +) =!= e t dt = (9.3) z
More information(2018 2Q C) [ ] R 2 2 P = (a, b), Q = (c, d) Q P QP = ( ) a c b d (a c, b d) P = (a, b) O P ( ) a p = b P = (a, b) p = ( ) a b R 2 {( ) } R 2 x = x, y
(2018 2Q C) [ ] R 2 2 P = (a, b), Q = (c, d) Q P QP = a c b d (a c, b d) P = (a, b) O P a p = b P = (a, b) p = a b R 2 { } R 2 x = x, y R y 2 a p =, c q = b d p + a + c q = b + d q p P q a p = c R c b
More information応用数学III-4.ppt
III f x ( ) = 1 f x ( ) = P( X = x) = f ( x) = P( X = x) =! x ( ) b! a, X! U a,b f ( x) =! " e #!x, X! Ex (!) n! ( n! x)!x! " x 1! " x! e"!, X! Po! ( ) n! x, X! B( n;" ) ( ) ! xf ( x) = = n n!! ( n
More information2 1 17 1.1 1.1.1 1650
1 3 5 1 1 2 0 0 1 2 I II III J. 2 1 17 1.1 1.1.1 1650 1.1 3 3 6 10 3 5 1 3/5 1 2 + 1 10 ( = 6 ) 10 1/10 2000 19 17 60 2 1 1 3 10 25 33221 73 13111 0. 31 11 11 60 11/60 2 111111 3 60 + 3 332221 27 x y xy
More information数理解析研究所講究録 第1908巻
1908 2014 78-85 78 1 D3 1 [20] Born [18, 21] () () RIMS ( 1834) [19] ( [16] ) [1, 23, 24] 2 $\Vert A\Vert^{2}$ $c*$ - $*:\mathcal{x}\ni A\mapsto A^{*}\in \mathcal{x}$ $\Vert A^{*}A\Vert=$ $\Vert\cdot\Vert$
More information(u(x)v(x)) = u (x)v(x) + u(x)v (x) ( ) u(x) = u (x)v(x) u(x)v (x) v(x) v(x) 2 y = g(t), t = f(x) y = g(f(x)) dy dx dy dx = dy dt dt dx., y, f, g y = f (g(x))g (x). ( (f(g(x)). ). [ ] y = e ax+b (a, b )
More information20 6 4 1 4 1.1 1.................................... 4 1.1.1.................................... 4 1.1.2 1................................ 5 1.2................................... 7 1.2.1....................................
More informationv er.1/ c /(21)
12 -- 1 1 2009 1 17 1-1 1-2 1-3 1-4 2 2 2 1-5 1 1-6 1 1-7 1-1 1-2 1-3 1-4 1-5 1-6 1-7 c 2011 1/(21) 12 -- 1 -- 1 1--1 1--1--1 1 2009 1 n n α { n } α α { n } lim n = α, n α n n ε n > N n α < ε N {1, 1,
More information6kg 1.1m 1.m.1m.1 l λ ϵ λ l + λ l l l dl dl + dλ ϵ dλ dl dl + dλ dl dl 3 1. JIS 1 6kg 1% 66kg 1 13 σ a1 σ m σ a1 σ m σ m σ a1 f f σ a1 σ a1 σ m f 4
35-8585 7 8 1 I I 1 1.1 6kg 1m P σ σ P 1 l l λ λ l 1.m 1 6kg 1.1m 1.m.1m.1 l λ ϵ λ l + λ l l l dl dl + dλ ϵ dλ dl dl + dλ dl dl 3 1. JIS 1 6kg 1% 66kg 1 13 σ a1 σ m σ a1 σ m σ m σ a1 f f σ a1 σ a1 σ m
More information2011de.dvi
211 ( 4 2 1. 3 1.1............................... 3 1.2 1- -......................... 13 1.3 2-1 -................... 19 1.4 3- -......................... 29 2. 37 2.1................................ 37
More informationI A A441 : April 21, 2014 Version : Kawahira, Tomoki TA (Kondo, Hirotaka ) Google
I4 - : April, 4 Version :. Kwhir, Tomoki TA (Kondo, Hirotk) Google http://www.mth.ngoy-u.c.jp/~kwhir/courses/4s-biseki.html pdf 4 4 4 4 8 e 5 5 9 etc. 5 6 6 6 9 n etc. 6 6 6 3 6 3 7 7 etc 7 4 7 7 8 5 59
More information1 = = = (set) (element) a A a A a A a A a A {2, 5, (0, 1)}, [ 1, 1] = {x; 1 x 1}. (proposition) A = {x; P (x)} P (x) x x a A a A Remark. (i) {2, 0, 0,
2005 4 1 1 2 2 6 3 8 4 11 5 14 6 18 7 20 8 22 9 24 10 26 11 27 http://matcmadison.edu/alehnen/weblogic/logset.htm 1 1 = = = (set) (element) a A a A a A a A a A {2, 5, (0, 1)}, [ 1, 1] = {x; 1 x 1}. (proposition)
More informationI A A441 : April 15, 2013 Version : 1.1 I Kawahira, Tomoki TA (Shigehiro, Yoshida )
I013 00-1 : April 15, 013 Version : 1.1 I Kawahira, Tomoki TA (Shigehiro, Yoshida) http://www.math.nagoya-u.ac.jp/~kawahira/courses/13s-tenbou.html pdf * 4 15 4 5 13 e πi = 1 5 0 5 7 3 4 6 3 6 10 6 17
More information2001 Miller-Rabin Rabin-Solovay-Strassen self-contained RSA RSA RSA ( ) Shor RSA RSA 1 Solovay-Strassen Miller-Rabin [3, pp
200 Miller-Rabin 2002 3 Rabin-Solovay-Strassen self-contained RSA RSA RSA ( ) Shor 996 2 RSA RSA Solovay-Strassen Miller-Rabin [3, pp. 8 84] Rabin-Solovay-Strassen 2 Miller-Rabin 3 4 Miller-Rabin 5 Miller-Rabin
More information< 1 > (1) f 0 (a) =6a ; g 0 (a) =6a 2 (2) y = f(x) x = 1 f( 1) = 3 ( 1) 2 =3 ; f 0 ( 1) = 6 ( 1) = 6 ; ( 1; 3) 6 x =1 f(1) = 3 ; f 0 (1) = 6 ; (1; 3)
< 1 > (1) f 0 (a) =6a ; g 0 (a) =6a 2 (2) y = f(x) x = 1 f( 1) = 3 ( 1) 2 =3 ; f 0 ( 1) = 6 ( 1) = 6 ; ( 1; 3) 6 x =1 f(1) = 3 ; f 0 (1) = 6 ; (1; 3) 6 y = g(x) x = 1 g( 1) = 2 ( 1) 3 = 2 ; g 0 ( 1) =
More information112 Landau Table 1 Poiseuille Rayleigh-Benard Rayleigh-Benard Figure 1; 3 19 Poiseuille $R_{c}^{-1}-R^{-1}$ $ z ^{2}$ 3 $\epsilon^{2}=r_{\mathrm{c}}^{
1454 2005 111-124 111 Rayleigh-Benard (Kaoru Fujimura) Department of Appiied Mathematics and Physics Tottori University 1 Euclid Rayleigh-B\ enard Marangoni 6 4 6 4 ( ) 3 Boussinesq 1 Rayleigh-Benard Boussinesq
More information30 I .............................................2........................................3................................................4.......................................... 2.5..........................................
More information> > <., vs. > x 2 x y = ax 2 + bx + c y = 0 2 ax 2 + bx + c = 0 y = 0 x ( x ) y = ax 2 + bx + c D = b 2 4ac (1) D > 0 x (2) D = 0 x (3
13 2 13.0 2 ( ) ( ) 2 13.1 ( ) ax 2 + bx + c > 0 ( a, b, c ) ( ) 275 > > 2 2 13.3 x 2 x y = ax 2 + bx + c y = 0 2 ax 2 + bx + c = 0 y = 0 x ( x ) y = ax 2 + bx + c D = b 2 4ac (1) D >
More informationA
A 2563 15 4 21 1 3 1.1................................................ 3 1.2............................................. 3 2 3 2.1......................................... 3 2.2............................................
More information,2,4
2005 12 2006 1,2,4 iii 1 Hilbert 14 1 1.............................................. 1 2............................................... 2 3............................................... 3 4.............................................
More information7 27 7.1........................................ 27 7.2.......................................... 28 1 ( a 3 = 3 = 3 a a > 0(a a a a < 0(a a a -1 1 6
26 11 5 1 ( 2 2 2 3 5 3.1...................................... 5 3.2....................................... 5 3.3....................................... 6 3.4....................................... 7
More information2.2 ( y = y(x ( (x 0, y 0 y (x 0 (y 0 = y(x 0 y = y(x ( y (x 0 = F (x 0, y(x 0 = F (x 0, y 0 (x 0, y 0 ( (x 0, y 0 F (x 0, y 0 xy (x, y (, F (x, y ( (
(. x y y x f y = f(x y x y = y(x y x y dx = d dx y(x = y (x = f (x y = y(x x ( (differential equation ( + y 2 dx + xy = 0 dx = xy + y 2 2 2 x y 2 F (x, y = xy + y 2 y = y(x x x xy(x = F (x, y(x + y(x 2
More informationn Y 1 (x),..., Y n (x) 1 W (Y 1 (x),..., Y n (x)) 0 W (Y 1 (x),..., Y n (x)) = Y 1 (x)... Y n (x) Y 1(x)... Y n(x) (x)... Y n (n 1) (x) Y (n 1)
D d dx 1 1.1 n d n y a 0 dx n + a d n 1 y 1 dx n 1 +... + a dy n 1 dx + a ny = f(x)...(1) dk y dx k = y (k) a 0 y (n) + a 1 y (n 1) +... + a n 1 y + a n y = f(x)...(2) (2) (2) f(x) 0 a 0 y (n) + a 1 y
More information