The image contains a Linear Algebra quiz with multiple questions related to matrix operations, feature transformations in a cybersecurity context. The main task is to compute matrices E, S, T, output vector y, determinant of T, inverse of T, and verify T^-1y = x.

Mathematics
The image contains a Linear Algebra quiz with multiple questions related to matrix operations, feature transformations in a cybersecurity context. The main task is to compute matrices E, S, T, output vector y, determinant of T, inverse of T, and verify T^-1y = x.

ScanSolve AI Answer

Answer

\begin{pmatrix} 1 & 2 \ 3 & 4 \end{pmatrix}

Step 1: Compute T(e1)T(e_1) where e1=(10)\mathbf{e}_1 = \begin{pmatrix} 1 \\ 0 \end{pmatrix}.

T(xy)=(x+2y3x+4y)T\begin{pmatrix} x \\ y \end{pmatrix} = \begin{pmatrix} x + 2y \\ 3x + 4y \end{pmatrix}

Substitute x=1x = 1, y=0y = 0:

T(10)=(1+2031+40)=(13)T\begin{pmatrix} 1 \\ 0 \end{pmatrix} = \begin{pmatrix} 1 + 2 \cdot 0 \\ 3 \cdot 1 + 4 \cdot 0 \end{pmatrix} = \begin{pmatrix} 1 \\ 3 \end{pmatrix}

Step 2: Compute T(e2)T(e_2) where e2=(01)\mathbf{e}_2 = \begin{pmatrix} 0 \\ 1 \end{pmatrix}.

T(xy)=(x+2y3x+4y)T\begin{pmatrix} x \\ y \end{pmatrix} = \begin{pmatrix} x + 2y \\ 3x + 4y \end{pmatrix}

Substitute x=0x = 0, y=1y = 1:

T(01)=(0+2130+41)=(24)T\begin{pmatrix} 0 \\ 1 \end{pmatrix} = \begin{pmatrix} 0 + 2 \cdot 1 \\ 3 \cdot 0 + 4 \cdot 1 \end{pmatrix} = \begin{pmatrix} 2 \\ 4 \end{pmatrix}

Step 3: Compare T(e1)T(e_1) and T(e2)T(e_2) with the columns of AA.

The matrix AA has columns T(e1)T(e_1) and T(e2)T(e_2):

A=(T(e1)T(e2))=(1234)A = \begin{pmatrix} | & | \\ T(e_1) & T(e_2) \\ | & | \end{pmatrix} = \begin{pmatrix} 1 & 2 \\ 3 & 4 \end{pmatrix}

Step 4: Verify T(v)=AvT(v') = A v' where v=(11)\mathbf{v}' = \begin{pmatrix} 1 \\ 1 \end{pmatrix}.

First, compute T(v)T(v'):

T(11)=(1+2131+41)=(37)T\begin{pmatrix} 1 \\ 1 \end{pmatrix} = \begin{pmatrix} 1 + 2 \cdot 1 \\ 3 \cdot 1 + 4 \cdot 1 \end{pmatrix} = \begin{pmatrix} 3 \\ 7 \end{pmatrix}

Now compute AvA v':

Av=(1234)(11)=(11+2131+41)=(37)A v' = \begin{pmatrix} 1 & 2 \\ 3 & 4 \end{pmatrix} \begin{pmatrix} 1 \\ 1 \end{pmatrix} = \begin{pmatrix} 1 \cdot 1 + 2 \cdot 1 \\ 3 \cdot 1 + 4 \cdot 1 \end{pmatrix} = \begin{pmatrix} 3 \\ 7 \end{pmatrix}

Both sides match.

\begin{pmatrix 1 & 2 \ 3 & 4 \end{pmatrix}}

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Compute T(e_1) where e_1 = 1 \\ 0 . T x \\ y = x + 2y \\ 3x + 4y Substitute x = 1, y = 0: T 1 \\ 0 = 1 + 2 · 0 \\ 3 · 1 + 4 · 0 = 1 \\ 3 Step 2: Compute T(e_2) where e_2 = 0 \\ 1 .

The image contains a Linear Algebra quiz with multiple questions related to matrix operations, feature transformations in a cybersecurity context. The main task is to compute matrices E, S, T, output vector y, determinant of T, inverse of T, and verify T^-1y = x.
Mathematics

This mathematics problem involves applying core mathematical principles and formulas. Below you will find a complete step-by-step solution with detailed explanations for each step, helping you understand not just the answer but the method behind it.

ScanSolve AI Answer
Step 1: Compute T(e_1) where e_1 = 1 \\ 0 . T x \\ y = x + 2y \\ 3x + 4y Substitute x = 1, y = 0: T 1 \\ 0 = 1 + 2 · 0 \\ 3 · 1 + 4 · 0 = 1 \\ 3 Step 2: Compute T(e_2) where e_2 = 0 \\ 1 . T x \\ y = x + 2y \\ 3x + 4y Substitute x = 0, y = 1: T 0 \\ 1 = 0 + 2 · 1 \\ 3 · 0 + 4 · 1 = 2 \\ 4 Step 3: Compare T(e_1) and T(e_2) with the columns of A. The matrix A has columns T(e_1) and T(e_2): A = | & | \\ T(e_1) & T(e_2) \\ | & | = 1 & 2 \\ 3 & 4 Step 4: Verify T(v') = A v' where v' = 1 \\ 1 . First, compute T(v'): T 1 \\ 1 = 1 + 2 · 1 \\ 3 · 1 + 4 · 1 = 3 \\ 7 Now compute A v': A v' = 1 & 2 \\ 3 & 4 1 \\ 1 = 1 · 1 + 2 · 1 \\ 3 · 1 + 4 · 1 = 3 \\ 7 Both sides match. 1 & 2 \\ 3 & 4