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Openai/695dfc16-b2ac-8005-980b-b86d96450929
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==== 三個維度: ==== # x 軸 → 咖哩拌飯喜好 # y 軸 → 香菜喜好 # z 軸 → 芋頭喜好 * 每個軸可以正(喜歡)或負(討厭) * 所以空間被分成 8 個象限(2³): | | | | | | --- | --- | --- | --- | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | ===== - 喜歡咖哩拌飯 → i>0 ===== * 喜歡香菜 → j>0 * 討厭芋頭 → k<0 📍 小竹位於 第五象限 (x+,y+,z-) ===== - 外積 a1×i\mathbf{a_1} \times \mathbf{i}a1×i 必然垂直於 i\mathbf{i}i ===== * 外積向量 不可能與被乘向量完全同向(同號) * 八象限思維:垂直的向量無法落在同一個八區塊 ❌ 不可能 ===== - 小湖:x+, y-, z+ → 第 4 象限 ===== * 小竹:x+,y+,z- → 第 5 象限 內積符號 = x1·x2 + y1·y2 + z1·z2 = (+)(+) + (+)(-) + (-)(+) = + - - → 不定 八象限直覺:兩向量不在固定相對象限 → 角度未必鈍角 ❌ 不一定 ===== - 討厭咖哩、香菜、芋頭 → 第 7 象限 (-,-,-) ===== * 外積向量位於與小竹不同的平面 * 空間中可以選擇一個向量,讓外積落在第 7 象限 ✔ 可行 ===== - 八象限分析:小竹仍在第五象限 (+,+,-) ===== * 我們可以選擇一個向量 a2,讓外積落在第 7 象限 (-,-,-) * 八象限直覺 → 可以「找到一個區塊對應的向量」 ✔ 可行 ===== - 小溫:x+,y-,z- → 第 8 象限 ===== * 小竹:第 5 象限 (+,+,-) * 八象限直覺:兩個向量分佈在不同象限 * 內積 = 0 → 向量正交 → 在 3D 空間中 完全可能 ✔ 可能
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