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A vector vecr is inclined to x-axis at 4...

A vector `vecr` is inclined to x-axis at `45^(@)` and to y-axis at `60^(@)`. If `|vecr|=8` units find `vecr`.

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To find the vector \(\vec{r}\) that is inclined to the x-axis at \(45^\circ\) and to the y-axis at \(60^\circ\) with a magnitude of \(8\) units, we can follow these steps: ### Step 1: Determine the direction cosines The direction cosines \(l\), \(m\), and \(n\) of the vector \(\vec{r}\) can be determined using the angles given: - The direction cosine \(l\) with respect to the x-axis is given by: \[ l = \cos(45^\circ) = \frac{1}{\sqrt{2}} \] - The direction cosine \(m\) with respect to the y-axis is given by: \[ m = \cos(60^\circ) = \frac{1}{2} \] - The direction cosine \(n\) with respect to the z-axis can be calculated using the property that the sum of the squares of the direction cosines equals \(1\): \[ l^2 + m^2 + n^2 = 1 \] ### Step 2: Substitute the values of \(l\) and \(m\) Substituting the values of \(l\) and \(m\): \[ \left(\frac{1}{\sqrt{2}}\right)^2 + \left(\frac{1}{2}\right)^2 + n^2 = 1 \] Calculating the squares: \[ \frac{1}{2} + \frac{1}{4} + n^2 = 1 \] ### Step 3: Solve for \(n^2\) To solve for \(n^2\), we first find a common denominator: \[ \frac{2}{4} + \frac{1}{4} + n^2 = 1 \] This simplifies to: \[ \frac{3}{4} + n^2 = 1 \] Subtracting \(\frac{3}{4}\) from both sides: \[ n^2 = 1 - \frac{3}{4} = \frac{1}{4} \] Taking the square root: \[ n = \pm \frac{1}{2} \] ### Step 4: Write the vector in component form Now that we have the direction cosines: - \(l = \frac{1}{\sqrt{2}}\) - \(m = \frac{1}{2}\) - \(n = \pm \frac{1}{2}\) The vector \(\vec{r}\) can be expressed as: \[ \vec{r} = |r| (l \hat{i} + m \hat{j} + n \hat{k}) \] Given that \(|r| = 8\): \[ \vec{r} = 8 \left(\frac{1}{\sqrt{2}} \hat{i} + \frac{1}{2} \hat{j} + \left(\pm \frac{1}{2}\right) \hat{k}\right) \] ### Step 5: Simplify the vector Distributing \(8\): \[ \vec{r} = 8 \cdot \frac{1}{\sqrt{2}} \hat{i} + 8 \cdot \frac{1}{2} \hat{j} + 8 \cdot \left(\pm \frac{1}{2}\right) \hat{k} \] This simplifies to: \[ \vec{r} = 4\sqrt{2} \hat{i} + 4 \hat{j} + 4 \left(\pm 1\right) \hat{k} \] Thus, the vector \(\vec{r}\) can be expressed as: \[ \vec{r} = 4\sqrt{2} \hat{i} + 4 \hat{j} + 4 \hat{k} \quad \text{or} \quad \vec{r} = 4\sqrt{2} \hat{i} + 4 \hat{j} - 4 \hat{k} \] ### Final Result The vector \(\vec{r}\) is: \[ \vec{r} = 4\sqrt{2} \hat{i} + 4 \hat{j} + 4 \hat{k} \quad \text{or} \quad \vec{r} = 4\sqrt{2} \hat{i} + 4 \hat{j} - 4 \hat{k} \]
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