### Related Formula For three points P$P$, A$A$, and B$B$ to be collinear, their direction vectors must be proportional: vecPA parallel vecPB implies fracx_A - x_Px_B - x_P = fracy_A - y_Py_B - y_P = fracz_A - z_Pz_B - z_P$\vec{PA} \parallel \vec{PB} \implies \frac{x_A - x_P}{x_B - x_P} = \frac{y_A - y_P}{y_B - y_P} = \frac{z_A - z_P}{z_B - z_P}$

### Core Logic Express general coordinates for A$A$ on L_1$L_1$ and B$B$ on L_2$L_2$ [cite: 1204]: L_1: fracx-12=fracy-23=fracz-34=p implies A(2p+1, 3p+2, 4p+3)$L_1: \frac{x-1}{2}=\frac{y-2}{3}=\frac{z-3}{4}=p \implies A(2p+1, 3p+2, 4p+3)$ [cite: 1204, 1206] L_2: fracx-61=fracy1=fracz-4-1=q implies B(q+6, q, 4-q)$L_2: \frac{x-6}{1}=\frac{y}{1}=\frac{z-4}{-1}=q \implies B(q+6, q, 4-q)$ [cite: 1204, 1207] Direction ratios (D.R.) from P(4,1,0)$P(4,1,0)$ [cite: 1208, 1209]: textD.R. of PA = (2p-3, 3p+1, 4p+3)$\text{D.R. of } PA = (2p-3, 3p+1, 4p+3)$ [cite: 1208] textD.R. of PB = (q+2, q-1, 4-q)$\text{D.R. of } PB = (q+2, q-1, 4-q)$ [cite: 1209] Since P, A, B$P, A, B$ lie on the same line [cite: 1210]: frac2p-3q+2 = frac3p+1q-1 = frac4p+34-q$\frac{2p-3}{q+2} = \frac{3p+1}{q-1} = \frac{4p+3}{4-q}$ [cite: 1210] ### Step 1: Solving the system of equations Equating expressions to solve for parameters p$p$ and q$q$ [cite: 1211, 1212]: From first two [cite: 1211]: 2pq - 2p - 3q + 3 = 3pq + 6p + q + 2 implies pq + 8p + 4q - 1 = 0$2pq - 2p - 3q + 3 = 3pq + 6p + q + 2 \implies pq + 8p + 4q - 1 = 0$ [cite: 1211, 1212] From second and third components [cite: 1212]: 12p - 3pq + 4 - q = 4pq + 3q - 4p - 3 implies 7pq - 16p + 4q - 7 = 0$12p - 3pq + 4 - q = 4pq + 3q - 4p - 3 \implies 7pq - 16p + 4q - 7 = 0$ [cite: 1212] Solving equations simultaneously gives [cite: 1234]: p = -1, quad q = 3$p = -1, \quad q = 3$ [cite: 1234] Substituting parameters back yields the points [cite: 1236]: A(-1, -1, -1), quad B(9, 3, 1)$A(-1, -1, -1), \quad B(9, 3, 1)$ [cite: 1236] ### Step 2: Evaluating the Determinant Substitute values of A$A$ and B$B$ into the matrix grid [cite: 1244]: beginvmatrix 1 & 0 & 1 \\ -1 & -1 & -1 \\ 9 & 3 & 1 endvmatrix$\begin{vmatrix} 1 & 0 & 1 \\ -1 & -1 & -1 \\ 9 & 3 & 1 \end{vmatrix}$ [cite: 1244] Applying row/column operations (C_3 rightarrow C_3 - C_1$C_3 \rightarrow C_3 - C_1$) [cite: 1244]: beginvmatrix 1 & 0 & 0 \\ -1 & -1 & 0 \\ 9 & 3 & -8 endvmatrix = 1((-1)(-8) - 0) = 8$\begin{vmatrix} 1 & 0 & 0 \\ -1 & -1 & 0 \\ 9 & 3 & -8 \end{vmatrix} = 1((-1)(-8) - 0) = 8$ [cite: 1244] ### Pattern Recognition Collinearity problem involving parameter matches across skew line orientations. Reducing fractions systematically prevents higher-degree calculation mistakes. ### Evaluation Rubric / Model Answer null ### Chapter Mix Class 12 Mathematics: Three Dimensional Geometry Class 12 Mathematics: Determinants

### Related Formula Shortest distance between perpendicular axes vectors: textS.D. = frac|(veca_2 - veca_1) cdot (vecb_1 times vecb_2)||vecb_1 times vecb_2|$\text{S.D.} = \frac{|(\vec{a}_2 - \vec{a}_1) \cdot (\vec{b}_1 \times \vec{b}_2)|}{|\vec{b}_1 \times \vec{b}_2|}$ ### Core Logic Represent equations of straight lines symmetrically using vector directions [cite: 1418]: L_1: fracx-10 = fracy-20 = fracz-31$L_1: \frac{x-1}{0} = \frac{y-2}{0} = \frac{z-3}{1}$ [cite: 1418] L_2: fracx-lambda0 = fracy-51 = fracz-60$L_2: \frac{x-\lambda}{0} = \frac{y-5}{1} = \frac{z-6}{0}$ [cite: 1418] Evaluating the standard shortest distance configuration formula[cite: 1419, 1420]: textS.D. = |lambda - 1| = 3 implies lambda - 1 = pm 3$\text{S.D.} = |\lambda - 1| = 3 \implies \lambda - 1 = \pm 3$ [cite: 1420] lambda = 4 quad textor quad lambda = -2$\lambda = 4 \quad \text{or} \quad \lambda = -2$ [cite: 1420] Given the condition lambda_2 < lambda_1$\lambda_2 < \lambda_1$ [cite: 698]: lambda_1 = 4, quad lambda_2 = -2$\lambda_1 = 4, \quad \lambda_2 = -2$ [cite: 1421, 1422] ### Step 1: Distance calculation from line We need to find the square of distance from point P(4, -2, 7)$P(4, -2, 7)$ to line L_1$L_1$ [cite: 1424]. Any general matching point coordinates tracking along path L_1$L_1$ look like Q(1, 2, t+3)$Q(1, 2, t+3)$ [cite: 1424]. Form a perpendicular projection vector condition [cite: 1425]: vecPQ = (-3, 4, t-4)$\vec{PQ} = (-3, 4, t-4)$ [cite: 1425] Since vecPQ cdot hatk = 0 implies t-4 = 0 implies t=4$\vec{PQ} \cdot \hat{k} = 0 \implies t-4 = 0 \implies t=4$ [cite: 1425, 1426]. Thus, the foot of perpendicular is Q(1, 2, 7)$Q(1, 2, 7)$ [cite: 1427]. Evaluate the squared distance component magnitude [cite: 1427]: PQ^2 = (4-1)^2 + (-2-2)^2 + (7-7)^2 = 3^2 + (-4)^2 + 0 = 9 + 16 = 25$PQ^2 = (4-1)^2 + (-2-2)^2 + (7-7)^2 = 3^2 + (-4)^2 + 0 = 9 + 16 = 25$ [cite: 1427, 1428] ### Pattern Recognition For lines parallel directly to independent Cartesian coordinate grid lines, the shortest paths are simply direct plane projections. ### Evaluation Rubric / Model Answer null ### Chapter Mix Class 12 Mathematics: Three Dimensional Geometry

### Related Formula The shortest distance between two lines vecr = veca_1 + lambda vecb_1$\vec{r} = \vec{a}_1 + \lambda \vec{b}_1$ and vecr = veca_2 + mu vecb_2$\vec{r} = \vec{a}_2 + \mu \vec{b}_2$ is given by: d = frac|(veca_2 - veca_1) cdot (vecb_1 times vecb_2)||vecb_1 times vecb_2|$d = \frac{|(\vec{a}_2 - \vec{a}_1) \cdot (\vec{b}_1 \times \vec{b}_2)|}{|\vec{b}_1 \times \vec{b}_2|}$ ### Core Logic From the given line equations: Line 1 passes through veca_1 = -hati + 0hatj + 0hatk$\vec{a}_1 = -\hat{i} + 0\hat{j} + 0\hat{k}$ along vector vecb_1 = 3hati + 4hatj + 5hatk$\vec{b}_1 = 3\hat{i} + 4\hat{j} + 5\hat{k}$. Line 2 passes through veca_2 = phati + 2hatj + hatk$\vec{a}_2 = p\hat{i} + 2\hat{j} + \hat{k}$ along vector vecb_2 = 2hati + 3hatj + 4hatk$\vec{b}_2 = 2\hat{i} + 3\hat{j} + 4\hat{k}$. Vector difference: veca_2 - veca_1 = (p + 1)hati + 2hatj + hatk$\vec{a}_2 - \vec{a}_1 = (p + 1)\hat{i} + 2\hat{j} + \hat{k}$ Computing the cross product vecb_1 times vecb_2$\vec{b}_1 \times \vec{b}_2$: vecb_1 times vecb_2 = beginvmatrix hati & hatj & hatk \\ 3 & 4 & 5 \\ 2 & 3 & 4 endvmatrix = hati(16-15) - hatj(12-10) + hatk(9-8) = hati - 2hatj + hatk$\vec{b}_1 \times \vec{b}_2 = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 3 & 4 & 5 \\ 2 & 3 & 4 \end{vmatrix} = \hat{i}(16-15) - \hat{j}(12-10) + \hat{k}(9-8) = \hat{i} - 2\hat{j} + \hat{k}$ Magnitude |vecb_1 times vecb_2| = sqrt1^2 + (-2)^2 + 1^2 = sqrt6$|\vec{b}_1 \times \vec{b}_2| = \sqrt{1^2 + (-2)^2 + 1^2} = \sqrt{6}$. ### Step 1: Applying the Shortest Distance Value Substitute these into the distance equation: d = frac|big((p + 1)hati + 2hatj + hatkbig) cdot big(hati - 2hatj + hatkbig)|sqrt6 = frac1sqrt6$d = \frac{|\big((p + 1)\hat{i} + 2\hat{j} + \hat{k}\big) \cdot \big(\hat{i} - 2\hat{j} + \hat{k}\big)|}{\sqrt{6}} = \frac{1}{\sqrt{6}}$ |(p + 1)(1) + 2(-2) + 1(1)| = 1$|(p + 1)(1) + 2(-2) + 1(1)| = 1$ |p + 1 - 4 + 1| = 1 implies |p - 2| = 1$|p + 1 - 4 + 1| = 1 \implies |p - 2| = 1$ This yields two values for p$p$: - p - 2 = 1 implies p = 3$p - 2 = 1 \implies p = 3$ - p - 2 = -1 implies p = 1$p - 2 = -1 \implies p = 1$ Given that a, b$a, b$ are the parameters with a < b$a < b$, we assign a = 1$a = 1$ and b = 3$b = 3$. ### Step 2: Computing Latus Rectum of the Ellipse The ellipse equation is: fracx^21^2 + fracy^23^2 = 1$\frac{x^2}{1^2} + \frac{y^2}{3^2} = 1$ Since b > a$b > a$, the formula for the length of the latus rectum is: textLatus Rectum = frac2a^2b = frac2(1)^23 = frac23$\text{Latus Rectum} = \frac{2a^2}{b} = \frac{2(1)^2}{3} = \frac{2}{3}$ ### Pattern Recognition Be careful with coordinate geometry variables; when an ellipse satisfies b > a$b > a$, the major axis is along the y-axis, making the latus rectum equal to frac2a^2b$\frac{2a^2}{b}$ instead of frac2b^2a$\frac{2b^2}{a}$. ### Evaluation Rubric / Model Answer null ### Chapter Mix Class 12 Mathematics: Three Dimensional Geometry Class 11 Mathematics: Conic Sections

### Related Formula Shortest distance between lines passing through veca_1, veca_2$\vec{a}_1, \vec{a}_2$ with directions vecp, vecq$\vec{p}, \vec{q}$: d = frac|(veca_2 - veca_1) cdot (vecp times vecq)||vecp times vecq|$d = \frac{|(\vec{a}_2 - \vec{a}_1) \cdot (\vec{p} \times \vec{q})|}{|\vec{p} \times \vec{q}|}$ ### Core Logic Identify parameters: A = (3, alpha, 3)$A = (3, \alpha, 3)$ and B = (-3, -7, beta) implies overrightarrowBA = 6hati + (alpha + 7)hatj + (3 - beta)hatk$B = (-3, -7, \beta) \implies \overrightarrow{BA} = 6\hat{i} + (\alpha + 7)\hat{j} + (3 - \beta)\hat{k}$. Directions: vecp = 3hati - hatj + hatk$\vec{p} = 3\hat{i} - \hat{j} + \hat{k}$ and \ \vec{q} = -3\hat{i} + 2\hat{j} + 4\hat{k}. Compute cross product $. Compute cross product $\vec{p} \times \vec{q}: $: $vecp times vecq = beginvmatrix hati & hatj & hatk \\ 3 & -1 & 1 \\ -3 & 2 & 4 endvmatrix = -6hati - 15hatj + 3hatk$\vec{p} \times \vec{q} = \begin{vmatrix} \hat{i} & \hat{j} & \hat{k} \\ 3 & -1 & 1 \\ -3 & 2 & 4 \end{vmatrix} = -6hat{i} - 15hat{j} + 3hat{k}$ Magnitude $ Magnitude $|\vec{p} \times \vec{q}| = \sqrt{(-6)^2 + (-15)^2 + 3^2} = \sqrt{36 + 225 + 9} = \sqrt{270} = 3\sqrt{30}. ### Step 1: Apply Distance Equation Set shortest distance equation equal to $. ### Step 1: Apply Distance Equation Set shortest distance equation equal to $3\sqrt{30}: $: $frac|overrightarrowBA cdot (vecp times vecq)|3sqrt30 = 3sqrt30 implies |overrightarrowBA cdot (vecp times vecq)| = 270$\frac{|\overrightarrow{BA} \cdot (\vec{p} \times \vec{q})|}{3\sqrt{30}} = 3\sqrt{30} \implies |\overrightarrow{BA} \cdot (\vec{p} \times \vec{q})| = 270$ $ $-6(6) - 15(alpha + 7) + 3(3 - beta) = pm 270$-6(6) - 15(\alpha + 7) + 3(3 - \beta) = \pm 270$ $ $-36 - 15alpha - 105 + 9 - 3beta = pm 270 implies -132 - 15alpha - 3beta = pm 270$-36 - 15\alpha - 105 + 9 - 3\beta = \pm 270 \implies -132 - 15\alpha - 3\beta = \pm 270$ Choosing the negative branch for positive value extraction: $ Choosing the negative branch for positive value extraction: $-15alpha - 3beta = -138 implies 15alpha + 3beta = 138 implies 5alpha + beta = 46$-15\alpha - 3\beta = -138 \implies 15\alpha + 3\beta = 138 \implies 5\alpha + \beta = 46$$ ### Pattern Recognition Notice that the determinant logic perfectly structures linear equations. Simplifying the dot product using standard scaling helps prevent sign errors. ### Evaluation Rubric / Model Answer null ### Chapter Mix Class 12 Mathematics: Three Dimensional Geometry