Problem 4
Question
If \(\mathbf{x}=(3,-1,2,5)\) and \(\mathbf{y}=(-1,2,9,-2),\) determine \(\mathbf{v}=5 \mathbf{x}+(-7) \mathbf{y}\) and its additive inverse.
Step-by-Step Solution
Verified Answer
The vector \(\mathbf{v}=5\mathbf{x}+(-7)\mathbf{y}\) is \((22, -19, -53, 39)\), and its additive inverse is \((-22, 19, 53, -39)\).
1Step 1: Multiply the vectors by their scalars
Multiply the vector \(\mathbf{x}\) by the scalar 5 and the vector \(\mathbf{y}\) by the scalar (-7):
\(5\mathbf{x} = 5(3, -1, 2, 5)\)
\((-7)\mathbf{y} = -7(-1, 2, 9, -2)\)
2Step 2: Calculate the resulting vectors after scalar multiplication
Compute the results of the scalar multiplication:
\(5\mathbf{x} = (15, -5, 10, 25)\)
\((-7)\mathbf{y} = (7, -14, -63, 14)\)
3Step 3: Add the resulting vectors
Add the vectors obtained in Step 2:
\(\mathbf{v} = 5\mathbf{x} + (-7)\mathbf{y} = (15, -5, 10, 25) + (7, -14, -63, 14)\)
4Step 4: Calculate the resulting vector
Compute the sum of the two vectors:
\(\mathbf{v} = (15+7, -5-14, 10-63, 25+14) = (22, -19, -53, 39)\)
5Step 5: Find the additive inverse
The additive inverse of a vector is the opposite of that vector. Calculate the additive inverse of \(\mathbf{v}\) by changing the signs of its components:
\(-\mathbf{v} = -1(22, -19, -53, 39) = (-22, 19, 53, -39)\)
The vector \(\mathbf{v}=5\mathbf{x}+(-7)\mathbf{y}\) is \((22, -19, -53, 39)\), and its additive inverse is \((-22, 19, 53, -39)\).
Key Concepts
Vector AdditionAdditive Inverse of a VectorLinear Combination of Vectors
Vector Addition
In the realm of mathematics, particularly in vector algebra, vector addition is a fundamental operation that combines two or more vectors to produce a new vector. Think of vectors as arrows in space, each with a direction and length, representing quantities such as force, velocity, or displacement. When we add two vectors, we're essentially putting them nose-to-tail to find their resultant.
For example, if we have two vectors, \(\textbf{a} = (a_1, a_2,..., a_n)\) and \(\textbf{b} = (b_1, b_2,..., b_n)\), where \(n\) represents the dimension of the vectors, their sum \(\textbf{c} = \textbf{a} + \textbf{b}\) is given by adding each corresponding pair of components: \(\textbf{c} = (a_1+b_1, a_2+b_2,..., a_n+b_n)\).
This concept is visually represented by drawing vectors on a graph, then adding them using the aforementioned nose-to-tail method or, as in this specific exercise, simply by adding corresponding components algebraically. This approach is applied when we compute \(5\textbf{x} + (-7)\textbf{y}\) resulting in a new vector \(\textbf{v}\).
For example, if we have two vectors, \(\textbf{a} = (a_1, a_2,..., a_n)\) and \(\textbf{b} = (b_1, b_2,..., b_n)\), where \(n\) represents the dimension of the vectors, their sum \(\textbf{c} = \textbf{a} + \textbf{b}\) is given by adding each corresponding pair of components: \(\textbf{c} = (a_1+b_1, a_2+b_2,..., a_n+b_n)\).
This concept is visually represented by drawing vectors on a graph, then adding them using the aforementioned nose-to-tail method or, as in this specific exercise, simply by adding corresponding components algebraically. This approach is applied when we compute \(5\textbf{x} + (-7)\textbf{y}\) resulting in a new vector \(\textbf{v}\).
Additive Inverse of a Vector
Delving deeper into vector arithmetic, we encounter the notion of an additive inverse. To understand this, consider a simple number line: the negative of any number is its additive inverse because their sum equals zero. Apply this idea to vectors: the additive inverse of a vector \(\textbf{v}\) is another vector which, when added to \(\textbf{v}\), will result in the zero vector (the vector equivalent of zero).
Mathematically, if \(\textbf{v} = (v_1, v_2,..., v_n)\), then its additive inverse is \(-\textbf{v} = (-v_1, -v_2,..., -v_n)\). Obtaining the additive inverse involves simply reversing the signs of all the components in the original vector. In the context of the exercise provided, the additive inverse of vector \(\textbf{v} = (22, -19, -53, 39)\) is \(-\textbf{v} = (-22, 19, 53, -39)\), effectively giving us a vector that 'cancels out' the original when combined.
Mathematically, if \(\textbf{v} = (v_1, v_2,..., v_n)\), then its additive inverse is \(-\textbf{v} = (-v_1, -v_2,..., -v_n)\). Obtaining the additive inverse involves simply reversing the signs of all the components in the original vector. In the context of the exercise provided, the additive inverse of vector \(\textbf{v} = (22, -19, -53, 39)\) is \(-\textbf{v} = (-22, 19, 53, -39)\), effectively giving us a vector that 'cancels out' the original when combined.
Linear Combination of Vectors
A crucial operation in vector spaces is called a linear combination. This occurs when we combine several vectors using scalar multiplication (multiplying a vector by a number) and vector addition. The concept can be likened to mixing ingredients in specific proportions to yield a new recipe. Similarly, in linear algebra, we mix vectors with certain 'weights' (scalars) to create new vector 'dishes.'
Specifically, suppose we want to combine vectors \(\textbf{a}\), \(\textbf{b}\), ..., \(\textbf{n}\) using scalars \(c_1, c_2, ..., c_n\). The linear combination would be expressed as \(c_1\textbf{a} + c_2\textbf{b} + ... + c_n\textbf{n}\). This process gives us the tools to explore many topics in mathematics and physics where things can be expressed as a combination of basic building blocks or components.
In our exercise, \(5\textbf{x} + (-7)\textbf{y}\) is a linear combination of vectors \(\textbf{x}\) and \(\textbf{y}\) with scalars 5 and -7, culminating in the vector \(\textbf{v}\).
Specifically, suppose we want to combine vectors \(\textbf{a}\), \(\textbf{b}\), ..., \(\textbf{n}\) using scalars \(c_1, c_2, ..., c_n\). The linear combination would be expressed as \(c_1\textbf{a} + c_2\textbf{b} + ... + c_n\textbf{n}\). This process gives us the tools to explore many topics in mathematics and physics where things can be expressed as a combination of basic building blocks or components.
In our exercise, \(5\textbf{x} + (-7)\textbf{y}\) is a linear combination of vectors \(\textbf{x}\) and \(\textbf{y}\) with scalars 5 and -7, culminating in the vector \(\textbf{v}\).
Other exercises in this chapter
Problem 4
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Determine whether the given set (together with the usual operations on that set) forms a vector space over \(\mathbb{R}\). In all cases, justify your answer car
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