The set \(X\) is called the domain of the function, and the set \(Y\) is called the target space or codomain of the function. Let \(X=Y=\mathbb{R}^2=\mathbb{R} \times \mathbb{R}\) be the Cartesian product of the set of real numbers. The properties of an invertible matrix are given as. A line in R3 is determined by a point (a, b, c) on the line and a direction (1)Parallel here and below can be thought of as meaning that if the vector. This is a 4x4 matrix. still falls within the original set ???M?? If you need support, help is always available.
Linear Algebra Introduction | Linear Functions, Applications and Examples -5& 0& 1& 5\\ Let \(T: \mathbb{R}^4 \mapsto \mathbb{R}^2\) be a linear transformation defined by \[T \left [ \begin{array}{c} a \\ b \\ c \\ d \end{array} \right ] = \left [ \begin{array}{c} a + d \\ b + c \end{array} \right ] \mbox{ for all } \left [ \begin{array}{c} a \\ b \\ c \\ d \end{array} \right ] \in \mathbb{R}^4\nonumber \] Prove that \(T\) is onto but not one to one. There is an nn matrix N such that AN = I\(_n\). The LibreTexts libraries arePowered by NICE CXone Expertand are supported by the Department of Education Open Textbook Pilot Project, the UC Davis Office of the Provost, the UC Davis Library, the California State University Affordable Learning Solutions Program, and Merlot. Question is Exercise 5.1.3.b from "Linear Algebra w Applications, K. Nicholson", Determine if the given vectors span $R^4$:
Rn linear algebra - Math Index The next question we need to answer is, ``what is a linear equation?'' that are in the plane ???\mathbb{R}^2?? must also be in ???V???. A matrix A Rmn is a rectangular array of real numbers with m rows. ?, ???c\vec{v}??? linear algebra. ???\mathbb{R}^2??? Here, for example, we can subtract \(2\) times the second equation from the first equation in order to obtain \(3x_2=-2\). ?, where the set meets three specific conditions: 2. Four different kinds of cryptocurrencies you should know. A vector with a negative ???x_1+x_2??? A function \(f\) is a map, \begin{equation} f: X \to Y \tag{1.3.1} \end{equation}, from a set \(X\) to a set \(Y\). must both be negative, the sum ???y_1+y_2??? If A and B are matrices with AB = I\(_n\) then A and B are inverses of each other. Then, substituting this in place of \( x_1\) in the rst equation, we have. needs to be a member of the set in order for the set to be a subspace. $$ contains five-dimensional vectors, and ???\mathbb{R}^n??? thats still in ???V???.
What does r mean in math equation | Math Help The invertible matrix theorem is a theorem in linear algebra which offers a list of equivalent conditions for an nn square matrix A to have an inverse. 0 & 0& -1& 0 can both be either positive or negative, the sum ???x_1+x_2??? This means that, if ???\vec{s}??? \[\left [ \begin{array}{rr|r} 1 & 1 & a \\ 1 & 2 & b \end{array} \right ] \rightarrow \left [ \begin{array}{rr|r} 1 & 0 & 2a-b \\ 0 & 1 & b-a \end{array} \right ] \label{ontomatrix}\] You can see from this point that the system has a solution. Indulging in rote learning, you are likely to forget concepts. 1. is also a member of R3. must be ???y\le0???.
1: What is linear algebra - Mathematics LibreTexts And because the set isnt closed under scalar multiplication, the set ???M??? Functions and linear equations (Algebra 2, How. In contrast, if you can choose any two members of ???V?? The easiest test is to show that the determinant $$\begin{vmatrix} 1 & -2 & 0 & 1 \\ 3 & 1 & 2 & -4 \\ -5 & 0 & 1 & 5 \\ 0 & 0 & -1 & 0 \end{vmatrix} \neq 0 $$ This works since the determinant is the ($n$-dimensional) volume, and if the subspace they span isn't of full dimension then that value will be 0, and it won't be otherwise. involving a single dimension. ?, where the value of ???y??? . ?? Connect and share knowledge within a single location that is structured and easy to search. A matrix transformation is a linear transformation that is determined by a matrix along with bases for the vector spaces. can be any value (we can move horizontally along the ???x?? What does f(x) mean? \tag{1.3.7}\end{align}. Lets try to figure out whether the set is closed under addition. ?m_2=\begin{bmatrix}x_2\\ y_2\end{bmatrix}??? is a set of two-dimensional vectors within ???\mathbb{R}^2?? ?\vec{m}_1+\vec{m}_2=\begin{bmatrix}x_1+x_2\\ y_1+y_2\end{bmatrix}??? Similarly, a linear transformation which is onto is often called a surjection. A vector ~v2Rnis an n-tuple of real numbers. If so, then any vector in R^4 can be written as a linear combination of the elements of the basis. Therefore, \(A \left( \mathbb{R}^n \right)\) is the collection of all linear combinations of these products. The rank of \(A\) is \(2\). If the system of linear equation not have solution, the $S$ is not span $\mathbb R^4$. Legal. That is to say, R2 is not a subset of R3.
Exterior algebra | Math Workbook Using invertible matrix theorem, we know that, AA-1 = I
in the vector set ???V?? If A and B are two invertible matrices of the same order then (AB). In other words, an invertible matrix is non-singular or non-degenerate. will become negative (which isnt a problem), but ???y??? ?v_1+v_2=\begin{bmatrix}1\\ 0\end{bmatrix}+\begin{bmatrix}0\\ 1\end{bmatrix}??? In other words, \(\vec{v}=\vec{u}\), and \(T\) is one to one. Then the equation \(f(x)=y\), where \(x=(x_1,x_2)\in \mathbb{R}^2\), describes the system of linear equations of Example 1.2.1. v_2\\ Let \(T: \mathbb{R}^n \mapsto \mathbb{R}^m\) be a linear transformation induced by the \(m \times n\) matrix \(A\). Other subjects in which these questions do arise, though, include. If you're having trouble understanding a math question, try clarifying it by rephrasing it in your own words. Invertible matrices are employed by cryptographers to decode a message as well, especially those programming the specific encryption algorithm. Easy to use and understand, very helpful app but I don't have enough money to upgrade it, i thank the owner of the idea of this application, really helpful,even the free version. With Cuemath, you will learn visually and be surprised by the outcomes. (If you are not familiar with the abstract notions of sets and functions, then please consult Appendix A.). is not closed under addition.
What Is R^N Linear Algebra - askinghouse.com Any plane through the origin ???(0,0,0)??? With component-wise addition and scalar multiplication, it is a real vector space. \begin{array}{rl} x_1 + x_2 &= 1 \\ 2x_1 + 2x_2 &= 1\end{array} \right\}. For those who need an instant solution, we have the perfect answer. We also could have seen that \(T\) is one to one from our above solution for onto. \begin{bmatrix} By looking at the matrix given by \(\eqref{ontomatrix}\), you can see that there is a unique solution given by \(x=2a-b\) and \(y=b-a\). Which means were allowed to choose ?? Then \(f(x)=x^3-x=1\) is an equation. is not a subspace, lets talk about how ???M??? [QDgM 0 & 1& 0& -1\\ The set \(\mathbb{R}^2\) can be viewed as the Euclidean plane. The components of ???v_1+v_2=(1,1)??? \end{bmatrix} Is it one to one?
What does r3 mean in linear algebra | Math Assignments Determine if the set of vectors $\{[-1, 3, 1], [2, 1, 4]\}$ is a basis for the subspace of $\mathbb{R}^3$ that the vectors span. and ???x_2??? An invertible matrix in linear algebra (also called non-singular or non-degenerate), is the n-by-n square matrix satisfying the requisite condition for the inverse of a matrix to exist, i.e., the product of the matrix, and its inverse is the identity matrix. The lectures and the discussion sections go hand in hand, and it is important that you attend both. Post all of your math-learning resources here. v_1\\ It is a fascinating subject that can be used to solve problems in a variety of fields. Before we talk about why ???M??? If r > 2 and at least one of the vectors in A can be written as a linear combination of the others, then A is said to be linearly dependent. What does r3 mean in linear algebra Section 5.5 will present the Fundamental Theorem of Linear Algebra. Mathematics is concerned with numbers, data, quantity, structure, space, models, and change. Invertible matrices find application in different fields in our day-to-day lives. Then \(T\) is called onto if whenever \(\vec{x}_2 \in \mathbb{R}^{m}\) there exists \(\vec{x}_1 \in \mathbb{R}^{n}\) such that \(T\left( \vec{x}_1\right) = \vec{x}_2.\). must also still be in ???V???. (Systems of) Linear equations are a very important class of (systems of) equations. -5& 0& 1& 5\\ When ???y??? 1&-2 & 0 & 1\\ is a subspace of ???\mathbb{R}^2???. What does it mean to express a vector in field R3? The above examples demonstrate a method to determine if a linear transformation \(T\) is one to one or onto. Suppose \[T\left [ \begin{array}{c} x \\ y \end{array} \right ] =\left [ \begin{array}{rr} 1 & 1 \\ 1 & 2 \end{array} \right ] \left [ \begin{array}{r} x \\ y \end{array} \right ]\nonumber \] Then, \(T:\mathbb{R}^{2}\rightarrow \mathbb{R}^{2}\) is a linear transformation. \end{bmatrix} The notation "S" is read "element of S." For example, consider a vector that has three components: v = (v1, v2, v3) (R, R, R) R3. $$M\sim A=\begin{bmatrix} In particular, we can graph the linear part of the Taylor series versus the original function, as in the following figure: Since \(f(a)\) and \(\frac{df}{dx}(a)\) are merely real numbers, \(f(a) + \frac{df}{dx}(a) (x-a)\) is a linear function in the single variable \(x\). In mathematics, a real coordinate space of dimension n, written Rn (/rn/ ar-EN) or n, is a coordinate space over the real numbers. ?? Why is there a voltage on my HDMI and coaxial cables? There are many ways to encrypt a message and the use of coding has become particularly significant in recent years. ?? >> : r/learnmath f(x) is the value of the function. X 1.21 Show that, although R2 is not itself a subspace of R3, it is isomorphic to the xy-plane subspace of R3. He remembers, only that the password is four letters Pls help me!! To interpret its value, see which of the following values your correlation r is closest to: Exactly - 1. is in ???V?? Linear Algebra - Matrix . can be either positive or negative. Computer graphics in the 3D space use invertible matrices to render what you see on the screen. Symbol Symbol Name Meaning / definition (surjective - f "covers" Y) Notice that all one to one and onto functions are still functions, and there are many functions that are not one to one, not onto, or not either. Lets look at another example where the set isnt a subspace. is ???0???. It follows that \(T\) is not one to one. is not in ???V?? ?, and ???c\vec{v}??? If U is a vector space, using the same definition of addition and scalar multiplication as V, then U is called a subspace of V. However, R2 is not a subspace of R3, since the elements of R2 have exactly two entries, while the elements of R3 have exactly three entries. In the last example we were able to show that the vector set ???M??? 2.
(1) T is one-to-one if and only if the columns of A are linearly independent, which happens precisely when A has a pivot position in every column. Consider Example \(\PageIndex{2}\). is all of the two-dimensional vectors ???(x,y)??? Linear Algebra is a theory that concerns the solutions and the structure of solutions for linear equations. \begin{array}{rl} a_{11} x_1 + a_{12} x_2 + \cdots &= y_1\\ a_{21} x_1 + a_{22} x_2 + \cdots &= y_2\\ \cdots & \end{array} \right\}.
Linear Independence - CliffsNotes will stay positive and ???y??? And what is Rn? 3. This comes from the fact that columns remain linearly dependent (or independent), after any row operations. Let \(T: \mathbb{R}^n \mapsto \mathbb{R}^m\) be a linear transformation. So they can't generate the $\mathbb {R}^4$. Scalar fields takes a point in space and returns a number. Recall the following linear system from Example 1.2.1: \begin{equation*} \left. Then \(T\) is one to one if and only if \(T(\vec{x}) = \vec{0}\) implies \(\vec{x}=\vec{0}\). ?, ???\mathbb{R}^3?? A linear transformation is a function from one vector space to another which preserves linear combinations, equivalently, it preserves addition and scalar multiplication. contains the zero vector and is closed under addition, it is not closed under scalar multiplication. 2. 1 & -2& 0& 1\\ \(T\) is onto if and only if the rank of \(A\) is \(m\). Algebra (from Arabic (al-jabr) 'reunion of broken parts, bonesetting') is one of the broad areas of mathematics.Roughly speaking, algebra is the study of mathematical symbols and the rules for manipulating these symbols in formulas; it is a unifying thread of almost all of mathematics.. By accepting all cookies, you agree to our use of cookies to deliver and maintain our services and site, improve the quality of Reddit, personalize Reddit content and advertising, and measure the effectiveness of advertising. of the set ???V?? Using Theorem \(\PageIndex{1}\) we can show that \(T\) is onto but not one to one from the matrix of \(T\). Three space vectors (not all coplanar) can be linearly combined to form the entire space. Before going on, let us reformulate the notion of a system of linear equations into the language of functions. From class I only understand that the vectors (call them a, b, c, d) will span $R^4$ if $t_1a+t_2b+t_3c+t_4d=some vector$ but I'm not aware of any tests that I can do to answer this.
linear algebra - Explanation for Col(A). - Mathematics Stack Exchange must be negative to put us in the third or fourth quadrant. This becomes apparent when you look at the Taylor series of the function \(f(x)\) centered around the point \(x=a\) (as seen in a course like MAT 21C): \begin{equation} f(x) = f(a) + \frac{df}{dx}(a) (x-a) + \cdots. Being closed under scalar multiplication means that vectors in a vector space, when multiplied by a scalar (any. ?, which is ???xyz???-space. v_3\\ A strong downhill (negative) linear relationship. What is the difference between a linear operator and a linear transformation? Being closed under scalar multiplication means that vectors in a vector space . linear independence for every finite subset {, ,} of B, if + + = for some , , in F, then = = =; spanning property for every vector v in V . Instead, it is has two complex solutions \(\frac{1}{2}(-1\pm i\sqrt{7}) \in \mathbb{C}\), where \(i=\sqrt{-1}\). We know that, det(A B) = det (A) det(B). will be the zero vector. Take \(x=(x_1,x_2), y=(y_1,y_2) \in \mathbb{R}^2\). Each vector v in R2 has two components. 0&0&-1&0
Linear Algebra finds applications in virtually every area of mathematics, including Multivariate Calculus, Differential Equations, and Probability Theory. -5&0&1&5\\ Thus \(T\) is onto. Some of these are listed below: The invertible matrix determinant is the inverse of the determinant: det(A-1) = 1 / det(A). As $A$'s columns are not linearly independent ($R_{4}=-R_{1}-R_{2}$), neither are the vectors in your questions.
Definition of a linear subspace, with several examples (Cf. Both hardbound and softbound versions of this textbook are available online at WorldScientific.com. -5&0&1&5\\ is not a subspace. c_4 A ``linear'' function on \(\mathbb{R}^{2}\) is then a function \(f\) that interacts with these operations in the following way: \begin{align} f(cx) &= cf(x) \tag{1.3.6} \\ f(x+y) & = f(x) + f(y). In this case, the two lines meet in only one location, which corresponds to the unique solution to the linear system as illustrated in the following figure: This example can easily be generalized to rotation by any arbitrary angle using Lemma 2.3.2. \(\displaystyle R^m\) denotes a real coordinate space of m dimensions. 107 0 obj is a subspace of ???\mathbb{R}^2???. ?-axis in either direction as far as wed like), but ???y??? Multiplying ???\vec{m}=(2,-3)??? Vectors in R Algebraically, a vector in 3 (real) dimensions is defined to ba an ordered triple (x, y, z), where x, y and z are all real numbers (x, y, z R). c_1\\ The invertible matrix theorem is a theorem in linear algebra which offers a list of equivalent conditions for an nn square matrix A to have an inverse. Example 1.3.3.
PDF Linear algebra explained in four pages - minireference.com $(1,3,-5,0), (-2,1,0,0), (0,2,1,-1), (1,-4,5,0)$. will also be in ???V???.). Thats because ???x??? includes the zero vector, is closed under scalar multiplication, and is closed under addition, then ???V??? As this course progresses, you will see that there is a lot of subtlety in fully understanding the solutions for such equations.
They are denoted by R1, R2, R3,. \end{equation*}. R4, :::. Linear Algebra Symbols. And we know about three-dimensional space, ???\mathbb{R}^3?? Accessibility StatementFor more information contact us atinfo@libretexts.orgor check out our status page at https://status.libretexts.org. Similarly, if \(f:\mathbb{R}^n \to \mathbb{R}^m\) is a multivariate function, then one can still view the derivative of \(f\) as a form of a linear approximation for \(f\) (as seen in a course like MAT 21D). Proof-Writing Exercise 5 in Exercises for Chapter 2.). ?, etc., up to any dimension ???\mathbb{R}^n???. Example 1: If A is an invertible matrix, such that A-1 = \(\left[\begin{array}{ccc} 2 & 3 \\ \\ 4 & 5 \end{array}\right]\), find matrix A. stream Is \(T\) onto? v_1\\ A non-invertible matrix is a matrix that does not have an inverse, i.e. Section 5.5 will present the Fundamental Theorem of Linear Algebra. Any square matrix A over a field R is invertible if and only if any of the following equivalent conditions(and hence, all) hold true. This comes from the fact that columns remain linearly dependent (or independent), after any row operations. This page titled 1: What is linear algebra is shared under a not declared license and was authored, remixed, and/or curated by Isaiah Lankham, Bruno Nachtergaele, & Anne Schilling. UBRuA`_\^Pg\L}qvrSS.d+o3{S^R9a5h}0+6m)- ".@qUljKbS&*6SM16??PJ__Rs-&hOAUT'_299~3ddU8 What is the difference between matrix multiplication and dot products? The equation Ax = 0 has only trivial solution given as, x = 0. ?, as the ???xy?? To express a plane, you would use a basis (minimum number of vectors in a set required to fill the subspace) of two vectors. So thank you to the creaters of This app. Showing a transformation is linear using the definition T (cu+dv)=cT (u)+dT (v) can be ???0?? (Think of it as what vectors you can get from applying the linear transformation or multiplying the matrix by a vector.) And even though its harder (if not impossible) to visualize, we can imagine that there could be higher-dimensional spaces ???\mathbb{R}^4?? To give an example, a subspace (or linear subspace) of ???\mathbb{R}^2??? 3 & 1& 2& -4\\ A human, writing (mostly) about math | California | If you want to reach out mikebeneschan@gmail.com | Get the newsletter here: https://bit.ly/3Ahfu98. Taking the vector \(\left [ \begin{array}{c} x \\ y \\ 0 \\ 0 \end{array} \right ] \in \mathbb{R}^4\) we have \[T \left [ \begin{array}{c} x \\ y \\ 0 \\ 0 \end{array} \right ] = \left [ \begin{array}{c} x + 0 \\ y + 0 \end{array} \right ] = \left [ \begin{array}{c} x \\ y \end{array} \right ]\nonumber \] This shows that \(T\) is onto. The following examines what happens if both \(S\) and \(T\) are onto. Alternatively, we can take a more systematic approach in eliminating variables. Which means we can actually simplify the definition, and say that a vector set ???V??? Now assume that if \(T(\vec{x})=\vec{0},\) then it follows that \(\vec{x}=\vec{0}.\) If \(T(\vec{v})=T(\vec{u}),\) then \[T(\vec{v})-T(\vec{u})=T\left( \vec{v}-\vec{u}\right) =\vec{0}\nonumber \] which shows that \(\vec{v}-\vec{u}=0\). is a subspace when, 1.the set is closed under scalar multiplication, and. Definition.
What does i mean in algebra 2 - Math Projects But multiplying ???\vec{m}??? ?-dimensional vectors. Example 1.3.1. Our team is available 24/7 to help you with whatever you need. 0 & 0& -1& 0 Invertible matrices can be used to encrypt and decode messages. 3. It only takes a minute to sign up. Let \(A\) be an \(m\times n\) matrix where \(A_{1},\cdots , A_{n}\) denote the columns of \(A.\) Then, for a vector \(\vec{x}=\left [ \begin{array}{c} x_{1} \\ \vdots \\ x_{n} \end{array} \right ]\) in \(\mathbb{R}^n\), \[A\vec{x}=\sum_{k=1}^{n}x_{k}A_{k}\nonumber \]. The second important characterization is called onto. %PDF-1.5 $$, We've added a "Necessary cookies only" option to the cookie consent popup, vector spaces: how to prove the linear combination of $V_1$ and $V_2$ solve $z = ax+by$. We begin with the most important vector spaces.
Linear Algebra - Definition, Topics, Formulas, Examples - Cuemath You can prove that \(T\) is in fact linear. If any square matrix satisfies this condition, it is called an invertible matrix. Second, lets check whether ???M??? Because ???x_1??? Consider the system \(A\vec{x}=0\) given by: \[\left [ \begin{array}{cc} 1 & 1 \\ 1 & 2\\ \end{array} \right ] \left [ \begin{array}{c} x\\ y \end{array} \right ] = \left [ \begin{array}{c} 0 \\ 0 \end{array} \right ]\nonumber \], \[\begin{array}{c} x + y = 0 \\ x + 2y = 0 \end{array}\nonumber \], We need to show that the solution to this system is \(x = 0\) and \(y = 0\). If A and B are non-singular matrices, then AB is non-singular and (AB). ???\mathbb{R}^n???) Notice how weve referred to each of these (???\mathbb{R}^2?? ?\vec{m}_1+\vec{m}_2=\begin{bmatrix}x_1\\ y_1\end{bmatrix}+\begin{bmatrix}x_2\\ y_2\end{bmatrix}??? is closed under scalar multiplication. A subspace (or linear subspace) of R^2 is a set of two-dimensional vectors within R^2, where the set meets three specific conditions: 1) The set includes the zero vector, 2) The set is closed under scalar multiplication, and 3) The set is closed under addition. Let n be a positive integer and let R denote the set of real numbers, then Rn is the set of all n-tuples of real numbers. will become positive, which is problem, since a positive ???y?? What is the correct way to screw wall and ceiling drywalls? will include all the two-dimensional vectors which are contained in the shaded quadrants: If were required to stay in these lower two quadrants, then ???x??? The LibreTexts libraries arePowered by NICE CXone Expertand are supported by the Department of Education Open Textbook Pilot Project, the UC Davis Office of the Provost, the UC Davis Library, the California State University Affordable Learning Solutions Program, and Merlot. JavaScript is disabled. It can be written as Im(A). What does r3 mean in linear algebra can help students to understand the material and improve their grades. AB = I then BA = I. where the \(a_{ij}\)'s are the coefficients (usually real or complex numbers) in front of the unknowns \(x_j\), and the \(b_i\)'s are also fixed real or complex numbers. I create online courses to help you rock your math class. To explain span intuitively, Ill give you an analogy to painting that Ive used in linear algebra tutoring sessions. of the set ???V?? c_1\\ We begin with the most important vector spaces. The following proposition is an important result. The best answers are voted up and rise to the top, Not the answer you're looking for? Hence \(S \circ T\) is one to one. With Decide math, you can take the guesswork out of math and get the answers you need quickly and easily. We need to prove two things here. One approach is to rst solve for one of the unknowns in one of the equations and then to substitute the result into the other equation. We can think of ???\mathbb{R}^3??? ?, ???\vec{v}=(0,0,0)??? 1&-2 & 0 & 1\\ Let \(T: \mathbb{R}^k \mapsto \mathbb{R}^n\) and \(S: \mathbb{R}^n \mapsto \mathbb{R}^m\) be linear transformations. I have my matrix in reduced row echelon form and it turns out it is inconsistent. @VX@j.e:z(fYmK^6-m)Wfa#X]ET=^9q*Sl^vi}W?SxLP CVSU+BnPx(7qdobR7SX9]m%)VKDNSVUc/U|iAz\~vbO)0&BV Subspaces A line in R3 is determined by a point (a, b, c) on the line and a direction (1)Parallel here and below can be thought of as meaning . and ???v_2??? and ???y??? are linear transformations. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. =
What does r3 mean in linear algebra - Math Assignments c_2\\ Mathematics is a branch of science that deals with the study of numbers, quantity, and space. Let \(f:\mathbb{R}\to\mathbb{R}\) be the function \(f(x)=x^3-x\). becomes positive, the resulting vector lies in either the first or second quadrant, both of which fall outside the set ???M???.
For example, consider the identity map defined by for all . can only be negative. As $A$ 's columns are not linearly independent ( $R_ {4}=-R_ {1}-R_ {2}$ ), neither are the vectors in your questions. Using indicator constraint with two variables, Short story taking place on a toroidal planet or moon involving flying. Once you have found the key details, you will be able to work out what the problem is and how to solve it. A is column-equivalent to the n-by-n identity matrix I\(_n\).
Basis (linear algebra) - Wikipedia The full set of all combinations of red and yellow paint (including the colors red and yellow themselves) might be called the span of red and yellow paint. Overall, since our goal is to show that T(cu+dv)=cT(u)+dT(v), we will calculate one side of this equation and then the other, finally showing that they are equal.