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\- Berechnen Sie den minimalen Abstand des Punktes \(\boldsymbol{v}=\left(\begin{array}{c}3 \\ 1 \\ -1\end{array}\right)\) zu der Ebene \(\left\langle\left(\begin{array}{l}1 \\ 1 \\\ 1\end{array}\right),\left(\begin{array}{c}-1 \\ -1 \\\ 1\end{array}\right)\right\rangle .\)

Short Answer

Expert verified
Answer: The minimal distance from the point (3, 1, -1) to the plane is √2.

Step by step solution

01

Find a vector normal to the plane

10 Let's find a normal vector \(\boldsymbol{n}\) to the plane defined by the vectors \(\left(\begin{array}{c} 1 \\ 1 \\ 1 \end{array}\right)\) and \(\left(\begin{array}{c} -1 \\ -1 \\ 1 \end{array}\right)\). To do this we will take the cross product of these two vectors:$$\boldsymbol{n}=\left(\begin{array}{c} 1 \\ 1 \\ 1 \end{array}\right)\times\left(\begin{array}{c} -1 \\ -1 \\ 1 \end{array}\right)$$After calculating the cross product, we get:$$\boldsymbol{n}=\left(\begin{array}{c} 2 \\ -2 \\ 0 \end{array}\right)$$Now we have a normal vector for the plane.
02

Find the equation of the plane

To find the equation of the plane, we can use the point-normal form:$$ax + by + cz = d$$where (a, b, c) are the components of the normal vector \(\boldsymbol{n}\), and d is the dot product of \(\boldsymbol{n}\) and any point on the plane. We can use the point \(\left(\begin{array}{c} 1 \\ 1 \\ 1 \end{array}\right)\) for this:$$d=\boldsymbol{n}\cdot\left(\begin{array}{c} 1 \\ 1 \\ 1 \end{array}\right)=2(1)-2(1)+0(1)=0$$So the equation of the plane is:$$2x-2y+0z=0$$or$$x-y=0$$
03

Find orthogonal projection

To find the orthogonal projection of the point \(\boldsymbol{v}=\left(\begin{array}{c}3 \\ 1 \\ -1\end{array}\right)\) onto the plane, we can use the formula: $$\boldsymbol{p}=\boldsymbol{v}-\frac{\boldsymbol{n}\cdot(\boldsymbol{v}-\boldsymbol{a})}{\boldsymbol{n}\cdot\boldsymbol{n}}\boldsymbol{n}$$where \(\boldsymbol{a}\) is any point on the plane, and \(\boldsymbol{n}\) is the normal vector to the plane (Step 1), and \(p\) is the projection point in the plane. Using the equation of the plane found in Step 2, and the point \(\left(\begin{array}{c} 1 \\ 1 \\ 1 \end{array}\right)\) we can calculate the projection point:$$\boldsymbol{p}=\left(\begin{array}{c}3 \\ 1 \\ -1\end{array}\right)-\frac{\left(\begin{array}{c} 2 \\ -2 \\ 0 \end{array}\right)\cdot\left(\begin{array}{c} 2 \\ 0 \\ -2 \end{array}\right)}{\left(\begin{array}{c} 2 \\ -2 \\ 0 \end{array}\right)\cdot\left(\begin{array}{c} 2 \\ -2 \\ 0 \end{array}\right)}\left(\begin{array}{c} 2 \\ -2 \\ 0 \end{array}\right)=\left(\begin{array}{c} 3 \\ 1 \\ -1 \end{array}\right)-\frac{4}{8}\left(\begin{array}{c} 2 \\ -2 \\ 0 \end{array}\right) $$This simplifies to:$$\boldsymbol{p}=\left(\begin{array}{c} 3 \\ 1 \\ -1 \end{array}\right)-\left(\begin{array}{c} 1 \\ -1 \\ 0 \end{array}\right) = \left(\begin{array}{c} 2 \\ 2 \\ -1 \end{array}\right)$$
04

Find the distance

To find the minimum distance from the given point \(\boldsymbol{v}\) to the plane, we can calculate the distance between \(\boldsymbol{v}\) and its orthogonal projection \(\boldsymbol{p}\):$$d=\sqrt{(v_{1} - p_{1})^2 + (v_{2} - p_{2})^2 + (v_{3} - p_{3})^2}$$where \(v_{1},v_{2},v_{3}\) and \(p_{1},p_{2},p_{3}\) are the coordinates of \(\boldsymbol{v}\) and \(\boldsymbol{p}\) respectively.$$d=\sqrt{(3 - 2)^2 + (1 - 2)^2 + (-1 - (-1))^2}=\sqrt{1 + 1 + 0}=\sqrt{2}$$So, the minimal distance from point \(\boldsymbol{v}\) to the plane is \(\boxed{\sqrt{2}}\).

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Most popular questions from this chapter

\(\mathbf{}\) - Wieso ist für jede beliebige Matrix \(\boldsymbol{A} \in \mathbb{C}^{n \times n}\) die Matrix \(\boldsymbol{B}=\boldsymbol{A} \overline{\boldsymbol{A}}^{\top}\) hermitesch ?

\- Laut Merkbox auf Seite 687 ist eine (reelle) Drehmatrix \(\boldsymbol{D}_{\alpha}\) für \(\left.\alpha \in\right] 0,2 \pi[\backslash\\{\pi\\}\) nicht diagonalisierbar. Nun kann man jede solche (orthogonale) Matrix \(\boldsymbol{D}_{\alpha} \in \mathbb{R}^{2 \times 2}\) auch als unitäre Matrix \(\boldsymbol{D}_{\alpha} \in \mathbb{C}^{2 \times 2}\) auffassen. Ist sie dann diagonalisierbar?

Zeigen Sie, dass eine hermitesche Matrix \(\boldsymbol{A} \in\) \(\mathbb{C}^{n \times n}\) genau dann indefinit ist, wenn sie sowohl einen positiven als auch einen negativen Eigenwert hat (Seite 694 ).

\(\mathbf{}\) \bullet Es sei der euklidische Vektorraum \(\mathbb{R}^{3}\) mit dem Standardskalarprodukt gegeben, weiter seien $$ A=\left(\begin{array}{ccc} 0 & -1 & 0 \\ 0 & 0 & -1 \\ -1 & 0 & 0 \end{array}\right) $$ und \(\varphi=\varphi_{A}: \mathbb{R}^{3} \rightarrow \mathbb{R}^{3}, v \mapsto A v\), die zugehörige lineare Abbildung. (a) Ist \(\varphi\) eine Drehung? (b) Stellen Sie \(\varphi\) als Produkt einer minimalen Anzahl von Spiegelungen dar.

\bullet Gegeben ist eine elastische Membran im \(\mathbb{R}^{2}\), die von der Einheitskreislinie \(x_{1}^{2}+x_{2}^{2}=1\) berandet wird. Bei ihrer (als lineare Abbildung angenommenen) Verformung gehe der Punkt \(\left(\begin{array}{l}v_{1} \\ v_{2}\end{array}\right)\) in den Punkt \(\left(\begin{array}{l}5 v_{1}+3 v_{2} \\ 3 v_{1}+5 v_{2}\end{array}\right)\) über. (a) Welche Form und Lage hat die ausgedehnte Membran? (b) Welche Geraden durch den Ursprung werden auf sich abgebildet?

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