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May 15, 2011 · Find the matrix M of the linear transformation T:R3->R2 given by T[x1,x2,x3]= 3x1-x2+3x3 -7x1-2x3 - Answered by a verified Math Tutor or Teacher We use cookies to give you the best possible experience on our website.
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Find matrix representation of linear transformation from R^2 to R^2. Introduction to Linear Algebra exam problems and solutions at the Ohio State University.
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Algebra: linear transformations and vectors Third Grade linear transformation Difference between mapping R3 to R2 and the reverse linear transformation Finding the Eigenvectors of a Linear Transformation Linear transformations on finite dimension vector spaces Linear transformation in Matrix form Linear Operator - Basis -Kernel-Range-Linear ...
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Let T R3 ? R3 be the linear operator given by Find a basis for R3 relative to which the matrix for T is diagonal. Solution ; det(lI - A) l3 - 5l2 8l - 4 (l-2)(l-2)(l-1) 75 Onto Transformations. Definitions ; Let V and W be real vector spaces. We say that the linear transformation T V ? W is onto if the range of T is W.
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View 2114-5-1.pdf from CO 2 at Virginia Tech. Math 2114 Standard Matrices & Span Day 5-1 Finding Standard Matrices Question: Let T : R2 → R3 be a linear transformation. Let ~u = (1, 1) and ~v =
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Linear Semi-Log X Semi-Log Y Log-Log. Use linearity of expectation: E(X)=Np. Linear regression is used to predict the value of an outcome variable Y based on one or more input predictor variables X. Linear transformations with changing bases (given) 0. Find The (standard) Matrix A Such That T ( X ) = A X . Chegg home.
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If A is a 3 x 5 matrix, then the dimension of Nul(Ä) must be at least 2. If a linear transformation T : R5 —+ R3 is onto, then the matrix T must have rank 5. If A is 3 x 3 matrix such that .43 = 0 the Rank A < 3. | If AB is not invertible, then A is not invertible.
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Any Matrix Represents a Linear Map Exercise 3.III.2. A linear map is determined by its action on a basis. Example 1.1: Let h: R2 → R3 by → → → → Given E.g. Matrix notation: Definition 1.2: Matrix Representation Let V and W be vector spaces of dimensions n and m with bases B and D.
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Mar 30, 2016 · Matrices for Linear Transformations )43,23,2(),,()1( 32321321321 xxxxxxxxxxxT +−+−−+= Three reasons for matrix representation of a linear transformation: −− − == 3 2 1 430 231 112 )()2( x x x AT xx It is simpler to write. It is simpler to read. It is more easily adapted for computer use. Two representations of the linear ...
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Transformation Matrices. The above transformations (rotation, reflection, scaling, and shearing) can be represented by matrices. To find the image of a point, we multiply the transformation matrix by a column vector that represents the point's coordinate.
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A is indeed a linear transformation. In fact, we will now show that every linear transformations fromFn to Fmis a matrix linear transformation. Proposition 6.4. Every linear transformation T: Fn!Fm is of the form T Afor a unique m nmatrix A.Theith column of Ais T(e i),wheree iis the ith standard basis vector, i.e. the ith column of I n. Proof.

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For any linear transformation T between $$R^n$$ and $$R^m$$, for some $$m$$ and $$n$$, you can find a matrix which implements the mapping. This means that multiplying a vector in the domain of T by A will give the same result as applying the rule for T directly to the entries of the vector. Linear Transformations on the Plane A linear transformation on the plane is a function of the form T(x,y) = (ax + by, cx + dy) where a,b,c and d are real numbers. If we start with a figure in the xy-plane, then we can apply the function T to get a transformed figure. When a transformation maps vectors from $$R^n$$ to $$R^m$$ for some n and m (like the one above, for instance), then we have other methods that we can apply to show that it is linear. For example, we can show that T is a matrix transformation, since every matrix transformation is a linear transformation .

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Find the matrix A of the linear transformation from R2 rightarrow from R2 to R3 given by T = x1 + x2. A = . We will present two methods for finding least-squares solutions, and we will give several applications to best-fit problems. Subsection 6.5.1 Least-Squares Solutions. We begin by clarifying exactly what we will mean by a “best approximate solution” to an inconsistent matrix equation Ax = b. Definition. Let A be an m × n matrix and let b be ... May 15, 2011 · Find the matrix M of the linear transformation T:R3->R2 given by T[x1,x2,x3]= 3x1-x2+3x3 -7x1-2x3 - Answered by a verified Math Tutor or Teacher We use cookies to give you the best possible experience on our website. A map f:A->B is linear if for all x,y in A and m in R say, then f(x+m.y) = f(x) + m.f(y). Note that this definition simultaneously imposes the two conditions :- f(x+y) = f(x) +f(y) and f(m.x) = m.f(x)

1. For each of the following, find the standard matrix of the given transformation from R2 to R2 (a) Counterclockwise rotation through 120 about the origin. sin (a) f дх Ω (b) Projection onto the line y 5 x. sin (a) Ω да (c) Reflection in the line y= x- sin (a) Ω f
2. Let A ( -2, 1), B (2, 4) and (4, 2) be the three vertices of a triangle. If this triangle is reflected about x-axis, find the vertices of the reflected image A'B'C' using matrices. Solution : Step 1 : First we have to write the vertices of the given triangle ABC in matrix form as given below. Let B = {b1, b2, b3} be a basis for a vector space V and let T: V â R2 be a linear transformation with the property that Find the matrix for T relative to B and the standard basis for R2. View Answer Finding a Matrix Representing a Linear Transformation with Two Ordered Bases 1 Finding an orthonormal basis for $\mathbb{C}^2$ with respect to the Hermitian form $\bar{x}^TAy$
3. Dec 22, 2020 · The savings in effort make it worthwhile to find an orthonormal basis before doing such a calculation. Gram-Schmidt orthonormalization is a popular way to find an orthonormal basis. Another instance when orthonormal bases arise is as a set of eigenvectors for a symmetric matrix. For a general matrix, the set of eigenvectors may not be ... Find the matrix representation A relative to B for the linear transformation T: W→W defined by T(f)=D2(f)+3D(f)+2f, where D presents the derivative operator. (where sp( X ) denotes the set of all linear combinations of vectors in X) [2005成 大電 腦通訊所]
4. the univers zty oi: masoosss semester assessment, 2015 schooi of mathematics and statistics mastioooy linear aigebra writing time: hours reading time: 15 Consider the matrix [[1,0,1], [1,1,0], [0,0,0]] which is obviously rank 2 (the third row is 0), but your checks would give r1.r2 - r1.r1 * r2.r2 == -1, r1.r3 - r1.r1 * r3.r3 == -1 and r2.r3 - r2.r2 * r3.r3 == -1. The check you have can only detect if one vector is a (positive) multiple of another vector, but vectors can be linearly dependent ...
5. So rotation definitely is a linear transformation, at least the way I've shown you. Now let's actually construct a mathematical definition for it. Let's actually construct a matrix that will perform the transformation. So I'm saying that my rotation transformation from R2 to R2 of some vector x can be defined as some 2 by 2 matrix.
6. These are the notes of Exercise of Linear Algebra which includes Linear Transformation, Basis, Matrix Representation, Standard Basis, Results, Bases, Transition Matrix etc. Key important points are: Arbitrary Scalar, Linear Transformations, Matrix, Fixed, One to One, Mapped, Same Vector, Matrix Representation, Standard Bases, Matrix Representation Let B = {b1, b2, b3} be a basis for a vector space V and let T: V â R2 be a linear transformation with the property that Find the matrix for T relative to B and the standard basis for R2. View Answer
7. Define the linear transformation T: "R2 "R2 by . T represents the reflection ofR2 R2 ('bour rhc y-axis. about the y-axis the reflection o (a) Show that T is a matrix transformation. (b) Dctcrrninc thc ranzc Of T. Define the linear transformation T: R3 R3 bv , T represents the reflection rhe rv-plane. (a) Show that T is a matrix transformation.
8. Using the inverse of the matrix corresponding to given linear transformation I solve the problem . Given that, 22 -16 It x2 8 -2 + x4 22 8 -3 9 2 7 3 -2 2 8 or 4 3 3 22 8 => TV- AN where A = 13 -3 9 -2 8 3 -2 2. 1 7 13 ny Now, have to 5 4 3 TITO 'we find inverse of linear transformation T. ie. th let tv. = BU we know, I (Tu) - v. The scalar multiples, obviously, are any real number. We defined a transformation, and I didn't speak of it much in terms of transformations, but it was a transformation. We defined a projection onto that line L as a transformation. In the video, we drew it as transformations within R2, but it could be, in general, a transformation from Rn to Rn. Question: (1 Point) Letf: R2 + R3 Be The Linear Transformation Determined By -(1)-6) (1)-() A. Find 16 14 8 B. Find The Matrix Of The Linear Transformation F. [:] C. The Linear Transformation F Is Injective Surjective Bijective None Of These (1 Point) A.
9. 2Problem 4 (10pts) Let T : R3!R3 be the linear transformation given by T(*x) = A*x where A = 4 1 2 1 1 1 1 1 0 k 3 5. For what k is T surjective (onto)? Make sure you explain (as well as showing your work).
10. The matrix composed by the vectors of V as columns is always invertible; due to V is a basis for the input vector space. This practical way to find the linear transformation is a direct consequence of the procedure for finding the matrix of a linear transformation. The transformation T:R^2--》R^2 is defined by T(1,0)=(2,-5) and T(-3,2)=(1,4). Find the natural matrix of the linear transformation T and find T(x,y). Math. Determine whether or not the given linear transformation is invertible. If it is invertible, compute its inverse. (If the transformation is not invertible, enter IMPOSSIBLE. Use theta for θ.)
11. That is, because v 3 is a linear combination of v 1 and v 2, it can be eliminated from the collection without affecting the span. Geometrically, the vector (3, 15, 7) lies in the plane spanned by v 1 and v 2 (see Example 7 above), so adding multiples of v 3 to linear combinations of v 1 and v 2 would yield no vectors off this plane.
12. Find the dimension of spS, the subspace spanned by S.  A4. Let S = {(x, y, 2y − x) : x, y ∈ R}. Show that S is a subspace of R3.  A5. Find the matrix of the linear transformation T : R2 → R2 given by T ((x, y)) = (2x+ y, 3x− y) with respect to (i) the standard basis in both domain and codomain; 

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Given a subspace S, every basis of S contains the same number of vectors; this number is the dimension of the subspace. To find a basis for the span of a set of vectors, write the vectors as rows of a matrix and then row reduce the matrix. The span of the rows of a matrix is called the row space of the matrix. Sep 14, 2018 · If A = [3 2 1 4 -1 2 7 3 -3], then find A -1 and hence solve the following system of equations : 3x + 4y + 7z = 14, 2x − y + 3z = 4, x + 2y − 3z = 0 OR If A = [2 1 1 1 0 1 0 2 -1] find the inverse of A using elementary row transformations and hence solve the following matrix equation XA = [1 0 1 ]. Jul 23, 2015 · So finding the matrix for any given basis is trivial - simply line up 's basis vectors as columns in their order to get a matrix. This means that any square, invertible matrix can be seen as a change of basis matrix from the basis spelled out in its columns to the standard basis. Let T R3 ? R3 be the linear operator given by Find a basis for R3 relative to which the matrix for T is diagonal. Solution ; det(lI - A) l3 - 5l2 8l - 4 (l-2)(l-2)(l-1) 75 Onto Transformations. Definitions ; Let V and W be real vector spaces. We say that the linear transformation T V ? W is onto if the range of T is W. Linear transformation r2 to r3 chegg Linear algebra and matrix algebra are effective in the study of linear transforma? tions for two main reasons: 1. A linear transformation is determined by its action on a basis. 2. The matrix of the composition of two linear transformations is the product of the matrices of the respective transformations. 2.4.41 Consider the matrix D α = cosα −sinα sinα cosα . We know that the linear transformation T(→x) = D α →x is a counter-clockwise rotation through an angle α. (a) For two angles, α and β, consider the products D αD β and D βD α. Arguing geometrically, describe the linear transformations →y = D αD β →x and →y = D ... Let me call that other matrix D. Some other matrix D times this representation of x times the coordinates of x with respect to my alternate nonstandard coordinate system. I should be able to find some matrix D that does this. Then we would say that D is the transformation matrix for T. A assumes that you have x in terms of standard coordinates.

Find the matrix A of the linear transformation from R^3 to R^3 given by T(x)=v cross x I'm lost on this one so thanks in advance for teaching me how to do this :-) Answer SaveA linear system is said to be square if the number of equations matches the number of unknowns. If the system A x = b is square, then the coefficient matrix, A, is square.If A has an inverse, then the solution to the system A x = b can be found by multiplying both sides by A −1: If T is a linear transformation from F (n) into F (m), show that there exists an n´ m matrix B such that Tx = xB, x Î F (n). Find B if T e i = (y i1 , y i2 , … , y im ), where e i Î F (n) denotes the row vector with i-th component 1 and all other components 0. So, with that preface, let's start with the 2D rotation matrix. In order to derive this matrix we will define a rotating coordinate system and as shown in Figure x. Needs to draw another rotated axis of a different color Given the x and y coordinates of a single point, we need a way to find its and coordinates. These are easy to find using ...

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Dec 07, 2012 · C31 (Chris Black) Find all solutions to the linear system: 3x+ 2y= 1 x y= 2 4x+ 2y= 2 C32 (Chris Black) Find all solutions to the linear system: x+ 2y= 8 x y= 2 x+ y= 4 C33 (Chris Black) Find all solutions to the linear system: x+ y z= 1 x y z= 1 z= 2 C34 (Chris Black) Find all solutions to the linear system: x+ y z= 5 x y z= 3 x+ y z= 0 Consider the linear transformation T from V R2 to W R3 given by 2-62 V2 Let F (f1, 2) be the ordered basis in R2 given by and let H -(h1, h2, h3) be the ordered basis in R3 given by -1 Find the coordinate matrix [TH of T relative to the ordered bases F and H, that is, fill in the blanks below: (Any entry that isa fraction should be entered as a proper fraction, i.e. as either x/y or-x/y where ... v2 R1 R3 111 R1 R2 R3 − = ++ (4.25) V1 V2 v3 R1 R3 V2 111 R1 R2 R3 − = ++ − (4.26) Having determined the node voltages, the calculation of the branch currents follows from a simple application of Ohm’s law. Example 4.1 Nodal analysis with a supernode The circuit in Figure 7 contains two voltage sources and with our assignment of the

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⋄ Example 10.2(f): Find the matrix [T] of the linear transformation T : R3 → R2 of Example 10.2(c), deﬁned by T x1 x2 x3 x1 +x2 x2 −x3 We can see that [T] needs to have three columns and two rows in order for the multiplication to be deﬁned, and The Matrix of a Linear Transformation – Example 1 The columns of are . Suppose T is a linear transformation from R2 into R3 such that With no additional information, find a formula for the image of an arbitrary x in R2. 2 1 0 0 1 I 1 2 1 0 and Since you are going from R3 to R2, the transformation matrix would be 2x3. Let the matrix be as under: p11 p12 p13 p21 p22 p23 This matrix, when multiplied by the 3x1 column matrix representing the input, gives us a 2x1 column matrix giving the ou... the univers zty oi: masoosss semester assessment, 2015 schooi of mathematics and statistics mastioooy linear aigebra writing time: hours reading time: 15

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Apr 21, 2020 · Finding Inverse of Matrix : The Gauss-Jordan Elimination method can be used in determining the inverse of a square matrix. Finding Ranks and Bases : Using reduced row echelon form, the ranks as well as bases of square matrices can be computed by Gaussian elimination method. Attention reader! Don’t stop learning now. Apr 04, 2016 · Matrices for Linear TransformationsMatrices for Linear Transformations )43,23,2(),,()1( 32321321321 xxxxxxxxxxxT +−+−−+= Three reasons for matrix representationmatrix representation of a linear transformation: −− − == 3 2 1 430 231 112 )()2( x x x AT xx It is simpler to write. It is simpler to read. It is more easily adapted for ...

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Answer to Let T: R3 → R2 be the linear transformation given by T(x, y, z) = (x, y) w.r.t standard ba of R3 and the basis B' {(0,... Skip Navigation Chegg home

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eigenspaces of linear operators Math 130 Linear Algebra D Joyce, Fall 2015 Eigenvalues and eigenvectors. We’re looking at linear operators on a vector space V, that is, linear transformations x 7!T(x) from the vector space V to itself. When V has nite dimension nwith a speci ed basis , then Tis described by a square n nmatrix A= [T] . Dec 28, 2020 · Rotation Matrix. When discussing a rotation, there are two possible conventions: rotation of the axes, and rotation of the object relative to fixed axes.. In , consider the matrix that rotates a given vector by a counterclockwise angle in a fixed coordinate system. Linear algebra -Midterm 2 1. Let P 2 be the space of polynomials of degree at most 2, and de ne the linear transformation T : P 2!R2 T(p(x)) = p(0) p(1) For example T(x2 + 1) = 1 2 . (a) Using the basis f1;x;x2gfor P 2, and the standard basis for R2, nd the matrix representation of T. (b) Find a basis for the kernel of T, writing your answer as ...

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For each of the following, find the standard matrix of the given transformation from R2 to R2 (a) Counterclockwise rotation through 120 about the origin. sin (a) f дх Ω (b) Projection onto the line y 5 x. sin (a) Ω да (c) Reflection in the line y= x- sin (a) Ω f Question: Find The Matrix A Of The Linear Transformation From R2 To R3 Given By This problem has been solved! See the answer. set10#25

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Answer to this is linear algebra. 1 5*: Let B = 2 and let Y = y 1 z (a) (5 points) Write A as a product of elementary matrices 2. A transformation matrix allows to alter the default coordinate system and map the original coordinates (x, y) to this new coordinate system: (x', y'). Depending on how we alter the coordinate system we effectively rotate, scale, move (translate) or shear the object this way. A transformation matrix is a 3-by-3 matrix: Two Examples of Linear Transformations (1) Diagonal Matrices: A diagonal matrix is a matrix of the form D= 2 6 6 6 4 d 1 0 0 0 d 2 0. .. 0 0 0 d n 3 7 7 7 5: The linear transformation de ned by Dhas the following e ect: Vectors are...

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6.1.2 Linear transformations given by matrices Theorem 6.1.3 Suppose A is a matrix of size m×n. Given a vector v = v1 v2 ··· v n ∈ Rn define T(v) = Av = A v1 v2 ··· v n . Then T is a linear transformation from Rn to Rm. Given that this is a linear transformation, that S is a linear transformation, we know that this can be rewritten as T times c times S applied to x. This little replacing that I did, with S applied to c times x, is the same thing as c times the linear transformation applied to x. This just comes out of the fact that S is a linear transformation. These are the notes of Exercise of Linear Algebra which includes Linear Transformation, Basis, Matrix Representation, Standard Basis, Results, Bases, Transition Matrix etc. Key important points are: Arbitrary Scalar, Linear Transformations, Matrix, Fixed, One to One, Mapped, Same Vector, Matrix Representation, Standard Bases, Matrix Representation When a transformation maps vectors from $$R^n$$ to $$R^m$$ for some n and m (like the one above, for instance), then we have other methods that we can apply to show that it is linear. For example, we can show that T is a matrix transformation, since every matrix transformation is a linear transformation . Let TA : R2 â R3 be the matrix transformation corresponding to Find TA (u) and Where And View Answer Let f ? L(X, Y) be a linear function between Hilbert spaces X and Y. 1.

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Linear transformation r2 to r3 chegg Finding the matrix of a transformation. If one has a linear transformation () in functional form, it is easy to determine the transformation matrix A by transforming each of the vectors of the standard basis by T, then inserting the result into the columns of a matrix. In other words, Linear transformation r2 to r3 chegg Consider the linear transformation T from V R2 to W R3 given by 2-62 V2 Let F (f1, 2) be the ordered basis in R2 given by and let H -(h1, h2, h3) be the ordered basis in R3 given by -1 Find the coordinate matrix [TH of T relative to the ordered bases F and H, that is, fill in the blanks below: (Any entry that isa fraction should be entered as a proper fraction, i.e. as either x/y or-x/y where ...

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• If the columns of an n×n matrix A are linearly independent, then the columns of A span Rn. True by the IMT. • There exists a one-to-one linear transformation mapping R3 to R2. False. By Theorem 11 (of Chap. 1), T is 1-1 iﬀ T(x) = 0 has only the trivial solution. However, the standard matrix of any such transformation is guaranteed A similar problem for a linear transformation from $\R^3$ to $\R^3$ is given in the post "Determine linear transformation using matrix representation". Instead of finding the inverse matrix in solution 1, we could have used the Gauss-Jordan elimination to find the coefficients.Linear transformations as matrix vector products. This is the currently selected item. Image of a subset under a transformation ... Let's say I have a transformation and it's a mapping between-- let's make it extra interesting-- between R2 and R3. And let's say my transformation, let's say that T of x1 x2 is equal to-- let's say the first entry ...The columns of a transformation's standard matrix are the the vectors you get when you apply the transformation to the columns of the identity matrix. Video ... Aug 18, 2017 · These two each show that the map is linear, the first one in a way that is bound to the coordinates (that is, it fixes a basis and then computes) and the second in a way that is more conceptual. Produce a matrix that describes the function's action.

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Linear algebra. please help me with this question I have no idea how to solve it, thanks Suppose T is a transformation from ℝ2 to ℝ2. Find the matrix A that induces T if T is rotation by 1/6π. Calculus Linear algebra. Let V = span{e2x, xe2x, x2e2x}. The term "bilinear" comes from each of those equations being linear in either of the input coordinates by themselves. We want to solve for the right values of a, b, c, and d. Say you have the reference rectangle r1, r2, r3, r4 which you want to map to (0,0), (1,0), (0,1), (1,1) (or some image coordinate system). For a,b,c,d: Oct 04, 2017 · How could you find a standard matrix for a transformation T : R2 → R3 (a linear transformation) for which T([v1,v2]) = [v1,v2,v3] and T([v3,v4-10) = [v5,v6-10,v7] for a given v1,...,v7? I have been thinking about using a function but do not think this is the most efficient way to solve this question. Could anyone help me out here? Thanks in ... A n th order linear physical system can be represented using a state space approach as a single first order matrix differential equation: The first equation is called the state equation and it has a first order derivative of the state variable(s) on the left, and the state variable(s) and input(s), multiplied by matrices, on the right. May 15, 2011 · Find the matrix M of the linear transformation T:R3->R2 given by T[x1,x2,x3]= 3x1-x2+3x3 -7x1-2x3 - Answered by a verified Math Tutor or Teacher We use cookies to give you the best possible experience on our website. A description of how a determinant describes the geometric properties of a linear transformation. ... given color in $[0,1]$ is mapped to a point of the same color in ... For any linear transformation T between $$R^n$$ and $$R^m$$, for some $$m$$ and $$n$$, you can find a matrix which implements the mapping. This means that multiplying a vector in the domain of T by A will give the same result as applying the rule for T directly to the entries of the vector.