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1 Markets I: The Ecosystem and Exchange-Traded Marketsবাজার অনলাইনইংরেজি 2 Markets II: Rates, FX and Creditবাজার অনলাইনইংরেজি 3 Markets III: Commodities, Energy and Cryptoবাজার অনলাইনইংরেজি 4 Quantitative Methodsপদ্ধতি অনলাইনইংরেজি 5 Derivatives and Volatilityডেরিভেটিভস অনলাইনইংরেজি 6 Rates, Credit, XVA and Riskসুদহার, ঋণ ও ঝুঁকি অনলাইনইংরেজি 7 Research Craft: Predictors, Backtests, Measurement, Portfoliosগবেষণা অনলাইনইংরেজি 8 Strategies I: Equities and Futuresকৌশল অনলাইনইংরেজি 9 Strategies II: Volatility, Relative Value, Macro and the Bank Desksকৌশল অনলাইনইংরেজি 10 Microstructure and Executionএক্সিকিউশন অনলাইনইংরেজি 11 Market Making and High-Frequency Tradingমার্কেট মেকিং অনলাইনইংরেজি 12 Machine Learning for Marketsমেশিন লার্নিং অনলাইনইংরেজি 13 Low-Latency Softwareপ্রযুক্তি অনলাইনইংরেজি 14 Networks, Hardware and Trading Infrastructureপ্রযুক্তি অনলাইনইংরেজি 15 Research, Data and Risk Platformsপ্রযুক্তি অনলাইনইংরেজি 16 The Desk and the Firmপ্রতিষ্ঠান অনলাইনইংরেজি 17 The Industry: Firms, Roles and Careersক্যারিয়ার অনলাইনইংরেজি 18 Interviews I: Maths, Probability and Speedক্যারিয়ার অনলাইনইংরেজি 19 Interviews II: Markets, Trading Games and the Final Roundক্যারিয়ার অনলাইনইংরেজি 20 Interviews III: Codeক্যারিয়ার অনলাইনইংরেজি
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Matemática · পরিভাষা

isometria কী?

Definição 23.15 Matemática universitária — Graduação 1 · অধ্যায় 23 — Espaços Euclidianos

Um endomorfismo uu de um espaço euclidiano é uma isometria (ou aplicação ortogonal) quando preserva a norma: ∥u(x)∥=∥x∥\norm{u(x)} = \norm x para todo xx — equivalentemente (por polarização), quando preserva o produto interno; equivalentemente, quando a sua matriz AA numa base ortonormal satisfaz ATA=IA^{\mathsf T} A = I. As isometrias formam um grupo, o grupo ortogonal O(E)O(E).

Duas reflexões fazem uma rotação: refletir M = (2, 0.5) no eixo x e depois na reta y = x leva a (-0.5, 2) — a imagem de M pela rotação de ângulo π2 em torno da origem, o dobro do ângulo π4 entre os eixos. O problema de fim de semana transforma esta figura na lei de composição de todas as isometrias do plano.
Duas reflexões fazem uma rotação: refletir M=(2,0.5)M = (2, 0.5) no eixo xx e depois na reta y=xy = x leva a (−0.5,2)(-0.5, 2) — a imagem de MM pela rotação de ângulo π2\frac\pi2 em torno da origem, o dobro do ângulo π4\frac\pi4 entre os eixos. O problema de fim de semana transforma esta figura na lei de composição de todas as isometrias do plano.

উদাহরণ

Exemplo 23.16 (Reconhecer uma isometria de relance)

Será A=15(3−443)A = \dfrac15\begin{pmatrix} 3 & -4\\ 4 & 3\end{pmatrix} ortogonal? Colunas: normas 159+16=1\frac15\sqrt{9 + 16} = 1 e 1516+9=1\frac15\sqrt{16 + 9} = 1; produto 125(3⋅(−4)+4⋅3)=0\frac1{25}(3\cdot(-4) + 4\cdot3) = 0. Sim — e det⁡A=9+1625=1\det A = \frac{9 + 16}{25} = 1, logo ela é a rotação RθR_\theta com cos⁡θ=35\cos\theta = \frac35, sin⁡θ=45\sin\theta = \frac45 (a “rotação 33-44-55”, cujo ângulo não é fração notável alguma de π\pi). Em contraste, B=12(1101)B = \frac{1}{\sqrt2}\begin{pmatrix} 1 & 1\\ 0 & 1\end{pmatrix} tem aparência de determinante unitário mas primeira coluna de norma diferente de 11 (12\frac1{\sqrt2}): não é ortogonal — determinante ±1\pm1 sozinho não certifica nada, as colunas têm de ser verificadas.

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