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Mathematics · Ch 8 — Vector Algebra-I

Resolution of a Vector in Two Dimensions

8.6.1

Resolution of a Vector in Two Dimensions

Setting up. Let i^,j^\hat i,\hat j be the unit vectors along the positive xx-axis and positive yy-axis respectively, both with initial point at the origin OO. Let P(x,y)P(x,y) be any point in the plane, so OP⃗\vec{OP} is its position vector.

Theorem. OP⃗\vec{OP} can be written uniquely as OP⃗=xi^+yj^,and∣OP⃗∣=x2+y2.\vec{OP}=x\hat i+y\hat j,\qquad\text{and}\qquad |\vec{OP}|=\sqrt{x^2+y^2}.

Proof. Drop perpendiculars from PP to the xx-axis (foot LL) and to the yy-axis (foot MM). Then OP⃗=OL⃗+LP⃗=OL⃗+OM⃗\vec{OP}=\vec{OL}+\vec{LP}=\vec{OL}+\vec{OM}. Since i^,j^\hat i,\hat j are unit vectors along the axes and OL=x,OM=yOL=x, OM=y, we get OL⃗=xi^\vec{OL}=x\hat i and OM⃗=yj^\vec{OM}=y\hat j, so OP⃗=xi^+yj^\vec{OP}=x\hat i+y\hat j.

Uniqueness. Suppose OP⃗=x1i^+y1j^=x2i^+y2j^\vec{OP}=x_1\hat i+y_1\hat j=x_2\hat i+y_2\hat j were two representations. Then (x1−x2)i^+(y1−y2)j^=0⃗(x_1-x_2)\hat i+(y_1-y_2)\hat j=\vec 0, which (since i^,j^\hat i,\hat j point along two genuinely different directions) forces x1=x2x_1=x_2 and y1=y2y_1=y_2.

Magnitude. In right triangle OLPOLP, OP2=OL2+LP2=x2+y2OP^2=OL^2+LP^2=x^2+y^2, so ∣OP⃗∣=x2+y2|\vec{OP}|=\sqrt{x^2+y^2}. …

Figure 8.29Resolving OP in the plane

What this figure shows. Point P(x,y) with feet of perpendiculars L on the x-axis and M on the y-axis, showing OP = OL + LP = x i-hat + y j-hat. …