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# Number and Quantity: Vector and Matrix Quantities576 preguntas26 habilidades

## HSN-VM.A.1

Recognize vector quantities as having both magnitude and direction. Represent vector quantities by directed line segments, and use appropriate symbols for vectors and their magnitudes (e.g., v, |v|, ||v||, v).

## HSN-VM.A.2

Find the components of a vector by subtracting the coordinates of an initial point from the coordinates of a terminal point.

## HSN-VM.A.3

Solve problems involving velocity and other quantities that can be represented by vectors.

## HSN-VM.B.4a

Add vectors end-to-end, component-wise, and by the parallelogram rule. Understand that the magnitude of a sum of two vectors is typically not the sum of the magnitudes.

## HSN-VM.B.4b

Given two vectors in magnitude and direction form, determine the magnitude and direction of their sum.

## HSN-VM.B.4c

Understand vector subtraction vw as v + (–w), where –w is the additive inverse of w, with the same magnitude as w and pointing in the opposite direction. Represent vector subtraction graphically by connecting the tips in the appropriate order, and perform vector subtraction component-wise.

## HSN-VM.B.5

Multiply a vector by a scalar.

## HSN-VM.B.5a

Represent scalar multiplication graphically by scaling vectors and possibly reversing their direction; perform scalar multiplication component-wise, e.g., as c(vx, vy) = (cvx, cvy).

## HSN-VM.B.5b

Compute the magnitude of a scalar multiple cv using ||cv|| = |c|v. Compute the direction of cv knowing that when |c|v ≠ 0, the direction of cv is either along v (for c > 0) or against v (for c < 0).

## HSN-VM.C.6

Use matrices to represent and manipulate data, e.g., to represent payoffs or incidence relationships in a network.

## HSN-VM.C.7

Multiply matrices by scalars to produce new matrices, e.g., as when all of the payoffs in a game are doubled.

## HSN-VM.C.8

Add, subtract, and multiply matrices of appropriate dimensions.

## HSN-VM.C.9

Understand that, unlike multiplication of numbers, matrix multiplication for square matrices is not a commutative operation, but still satisfies the associative and distributive properties.
Pronto habrá nuevas habilidades para este estándar.