Mienzaniso yemibvunzo inokurukura hukama huripo pakati pematrikisi nekushandurwa

Mienzaniso yeMibvunzo Inokurukura Hukama huripo pakati peMatrices neTransformations

Pendauluan

Matrix inhamba dzakaita serectangular kana zvinhu zvakarongwa mumitsara nemakoramu. Matric anoshandiswa zvakanyanya muzvikamu zvakasiyana-siyana zvakaita sehuwandu, fizikisi, economics, uye kunyanya mukuchinja kwe geometric mumasvomhu nemifananidzo yemakombiyuta. Matrices anopawo maturusi anoshanda ekugadzirisa data uye kutsanangura nekugadzirisa matambudziko akasiyana-siyana emasvomhu. Imwe nzira yakakosha yekushandisa matrices ndeyekuchinja kwakarongeka, uko mashandiro ematrix anoshandiswa kushandura chimiro nenzvimbo yezvinhu zve geometric muchadenga.

Muchinyorwa chino, tichakurukura mimwe mienzaniso yezvinetso zvinoratidza mashandisirwo anoitwa matrices pakuchinja kwemutsara, uye tichatsanangura mhinduro dzawo zvakadzama.

Tsanangudzo neMagwaro

Kutanga, ngationgororei dzimwe tsananguro huru nezvinyorwa zvichashandiswa muhurukuro iyi:

1. Matrix: Rudzi rwemanhamba rwakaita serectangular rwakarongwa mumitsara nemakoramu.
2. Kuchinja Kwemutsara: Basa rinotora vhekitari roibatanidza kune imwe vhekitari richishandisa mashandiro ematrix.
3. Vector: Chinhu chiri museti yevector ine urefu negwara, inowanzo miririrwa sekoramu kana mutsetse mu matrix.

Matrix notation inowanzo nyorwa nemabhii makuru, semuenzaniso \( A \), \( B \), uye mavector akanyorwa nemabhii matema kana nemuseve pamusoro pawo, semuenzaniso \( \mathbf{v} \) kana \( \vec{v} \).

VERENGA ZVIMWEWO  Mienzaniso yemibvunzo inokurukura nezveTrigonometric Ratios muPiramidhi

Mibvunzo yemuenzaniso nekukurukurirana

Mubvunzo 1: Kuchinja kweKutenderera
Kupiwa matrix yekuchinja kwekutenderera \( R \) nekona \( \theta \) munzvimbo ine mativi maviri:
\[ R = \begin{pmatrix} \cos\theta & -\sin\theta \\ \sin\theta & \cos\theta \end{pmatrix} \]
Vekitori \( \mathbf{v} = \begin{pmatrix} 1 \\ 0 \end{pmatrix} \). Sarudza mhedzisiro yekushandurwa kwevekitori \( \mathbf{v} \) ne matrix \( R \) kana \( \theta = \frac{\pi}{2} \).

Kukurukurirana:
Kutanga, isa angle values ​​​​\( \theta = \frac{\pi}{2} \) mu matrix \( R \):
\[ R = \begin{pmatrix} \cos\frac{\pi}{2} & -\sin\frac{\pi}{2} \\ \sin\frac{\pi}{2} & \cos\frac{\pi}{2} \end{pmatrix} = \begin{pmatrix} 0 & -1 \\ 1 & 0 \end{pmatrix} \]

Tevere, wedzera matrix \( R \) nevector \( \mathbf{v} \):
\[ R \mathbf{v} = \begin{pmatrix} 0 & -1 \\ 1 & 0 \end{pmatrix} \begin{pmatrix} 1 \\ 0 \end{pmatrix} = \begin{pmatrix} (0 \cdot 1) + (-1 \cdot 0) \\ (1 \cdot 1) + (0 \cdot 0) \end{pmatrix} = \begin{pmatrix} 0 \\ 1 \end{pmatrix} \]

Saka, mhedzisiro yekushandura vhekitari \( \mathbf{v} \) ne matrix \( R \) yekona \( \theta = \frac{\pi}{2} \) ndiyo vhekitari \( \mathbf{v'} = \begin{pmatrix} 0 \\ 1 \end{pmatrix} \).

Mubvunzo 2: Kuchinja Kwechikero
Kupiwa matrix yekuchinja kwechiyero \( S \) munzvimbo ine mativi maviri seinotevera:
\[ S = \begin{pmatrix} 2 & 0 \\ 0 & 3 \end{pmatrix} \]
Vekitori \( \mathbf{u} = \begin{pmatrix} 1 \\ 2 \end{pmatrix} \). Tsvaga mhedzisiro yekushandurwa kwevekitori \( \mathbf{u} \) ne matrix \( S \).

Kukurukurirana:
Wedzera matrix \( S \) nevector \( \mathbf{u} \):
\[ S \mathbf{u} = \begin{pmatrix} 2 & 0 \\ 0 & 3 \end{pmatrix} \begin{pmatrix} 1 \\ 2 \end{pmatrix} = \begin{pmatrix} (2 \cdot 1) + (0 \cdot 2) \\ (0 \cdot 1) + (3 \cdot 2) \end{pmatrix} = \begin{pmatrix} 2 \\ 6 \end{pmatrix} \]

VERENGA ZVIMWEWO  Muenzaniso wemubvunzo wekukurukurirana paLeast Squares Method

Saka, mhedzisiro yekushandura vhekitari \( \mathbf{u} \) ne matrix \( S \) ndiyo vhekitari \( \mathbf{u'} = \begin{pmatrix} 2 \\ 6 \end{pmatrix} \).

Mubvunzo 3: Kuchinja kweKufungisisa
Zvichienderana ne "reflection matrix" \( F \) maererano ne "y-axis":
\[ F = \begin{pmatrix} -1 & 0 \\ 0 & 1 \end{pmatrix} \]
Verenga mhedzisiro yekushandura vhekitari \( \mathbf{w} = \begin{pmatrix} 3 \\ 4 \end{pmatrix} \) uchishandisa matrix yekuratidzira \( F \).

Kukurukurirana:
Wedzera matrix \( F \) nevector \( \mathbf{w} \):
\[ F \mathbf{w} = \begin{pmatrix} -1 & 0 \\ 0 & 1 \end{pmatrix} \begin{pmatrix} 3 \\ 4 \end{pmatrix} = \begin{pmatrix} (-1 \cdot 3) + (0 \cdot 4) \\ (0 \cdot 3) + (1 \cdot 4) \end{pmatrix} = \begin{pmatrix} -3 \\ 4 \end{pmatrix} \]

Saka, mhedzisiro yekushandura vhekitari \( \mathbf{w} \) ne matrix \( F \) ndiyo vhekitari \( \mathbf{w'} = \begin{pmatrix} -3 \\ 4 \end{pmatrix} \).

Mubvunzo 4: Kuchinja Kwakabatana
Ngatitii pane matrikisi maviri ekuchinja, matrix yekutenderera \( R \) yekona \( \theta = \frac{\pi}{4} \) uye matrix yechikero \( S \) seinotevera:
\[ R = \begin{pmatrix} \cos\frac{\pi}{4} & -\sin\frac{\pi}{4} \\ \sin\frac{\pi}{4} & \cos\frac{\pi}{4} \end{pmatrix} = \begin{pmatrix} \frac{\sqrt{2}}{2} & -\frac{\sqrt{2}}{2} \\ \frac{\sqrt{2}}{2} & \frac{\sqrt{2}}{2} \end{pmatrix} \]
\[ S = \begin{pmatrix} 2 & 0 \\ 0 & 3 \end{pmatrix} \]
Sanganisa shanduko idzi wodziisa kune vector \( \mathbf{z} = \begin{pmatrix} 1 \\ 1 \end{pmatrix} \).

Kukurukurirana:
Kutanga, verenga matrix yekuchinja kwakabatana \( RS \):
\[ RS = R \cdot S = \begin{pmatrix} \frac{\sqrt{2}}{2} & -\frac{\sqrt{2}}{2} \\ \frac{\sqrt{2}}{2} & \frac{\sqrt{2}}{2} \end{pmatrix} \cdot \begin{pmatrix} 2 & 0 \\ 0 & 3 \end{pmatrix} = \begin{pmatrix} (\frac{\sqrt{2}}{2} \cdot 2) + (-\frac{\sqrt{2}}{2} \cdot 0) & (\frac{\sqrt{2}}{2} \cdot 0) + (-\frac{\sqrt{2}}{2} \cdot 3) \\ (\frac{\sqrt{2}}{2} \cdot 2) + (\frac{\sqrt{2}}{2} \cdot 0) & (\frac{\sqrt{2}}{2} \cdot 0) + (\frac{\sqrt{2}}{2} \cdot 3) \end{pmatrix} = \begin{pmatrix} \sqrt{2} & -\frac{3\sqrt{2}}{2} \\ \sqrt{2} & \frac{3\sqrt{2}}{2} \end{pmatrix} \]

VERENGA ZVIMWEWO  Mienzaniso yemibvunzo inokurukura nezve Linear Inequality Systems

Wobva wawedzera matrix yakabatana \( RS \) nevector \( \mathbf{z} \):
\[ RS \mathbf{z} = \begin{pmatrix} \sqrt{2} & -\frac{3\sqrt{2}}{2} \\ \sqrt{2} & \frac{3\sqrt{2}}{2} \end{pmatrix} \begin{pmatrix} 1 \\ 1 \end{pmatrix} = \begin{pmatrix} (\sqrt{2} \cdot 1) + (-\frac{3\sqrt{2}}{2} \cdot 1) \\ (\sqrt{2} \cdot 1) + (\frac{3\sqrt{2}}{2} \cdot 1) \end{pmatrix} = \begin{pmatrix} \sqrt{2} – \frac{3\sqrt{2}}{2} \\ \sqrt{2} + \frac{3\sqrt{2}}{2} \end{pmatrix} \]

Saka, mhedzisiro yekushandurwa kwakabatana kwevector \( \mathbf{z} \) ne matrix \( RS \) ndeiyi:
\[ \mathbf{z'} = \begin{pmatrix} \frac{2\sqrt{2} – 3\sqrt{2}}{2} \\ \sqrt{2} + \frac{3\sqrt{2}}{2} \end{pmatrix} = \begin{pmatrix} -\frac{\sqrt{2}}{2} \\ \frac{5\sqrt{2}}{2} \end{pmatrix} \]

Mhedziso

Muchinyorwa chino, takurukura nezvematambudziko akati wandei anoratidza mashandisirwo anoitwa matrices pakuchinja kwemutsara. Kuchinja kwe matrix kunoita basa rakakosha muminda yakawanda, kunyanya mifananidzo yemakombiyuta uye kuongorora data. Nekunzwisisa hwaro hwekuchinja kwe matrix, senge kutenderera, kukura, uye kufungisisa, tinogona kuenderera mberi nekushandisa pfungwa idzi kumatambudziko akaomarara. Kuziva pfungwa idzi kuchava kwakakosha kune chero munhu anoshanda mumasvomhu, fizikisi, kana sainzi yekombuta.

Siya mhinduro